WorldWideScience

Sample records for student dropout rates

  1. Comparison of Urban and Rural Dropout Rates of Distance Students

    Science.gov (United States)

    de Hart, K. L.; Venter J. M. P.

    2013-01-01

    South Africa has one of the highest university dropout rates in the world. As a country, it also has a history of forced location and the withholding of resources, including quality education, from certain rural areas. This study investigates, the effect of urbanization (of the area in which a student resides) on the dropout rate of distance…

  2. The influence of different curriculum designs on students' dropout rate: a case study.

    Science.gov (United States)

    Vergel, John; Quintero, Gustavo A; Isaza-Restrepo, Andrés; Ortiz-Fonseca, Martha; Latorre-Santos, Catalina; Pardo-Oviedo, Juan Mauricio

    2018-12-01

    The relationship between students' withdrawal and educational variables has generated a considerable number of publications. As the explosion of information in sciences and integration theories led to creating different curriculum designs, it has been assumed that differences among designs explain academic success and, therefore, students' retention. However, little attention has been given to examine explicitly how diverse designs influence dropout rates in practice, which questions if decisions to reform curricula are sufficiently informed. This article describes our curriculum reform, which exposes our former and current curriculum designs as having had dissimilar dropout percentages. Furthermore, we aimed to explore the influence of different curriculum designs on students' dropout rates. The conclusion is that dropout variations may be explained not only because of the curriculum design itself, but also because of the power relationship changes between teachers and students that brought out the design change. Consequently, more research is needed to fully understand the political implications of different curriculum designs and their influence on dropout rates.

  3. Freshman Year Dropouts: Interactions between Student and School Characteristics and Student Dropout Status

    Science.gov (United States)

    Zvoch, Keith

    2006-01-01

    Data from a large school district in the southwestern United States were analyzed to investigate relations between student and school characteristics and high school freshman dropout patterns. Application of a multilevel logistic regression model to student dropout data revealed evidence of school-to-school differences in student dropout rates and…

  4. An Examination of Dropout Rates for Hispanic or Latino Students Enrolled in Online K-12 Schools

    Science.gov (United States)

    Corry, Michael; Dardick, William; Stella, Julie

    2017-01-01

    As the number of online K-12 educational offerings continues to grow it is important to better understand key indicators of success for students enrolled in these classes. One of those indicators is student dropout rates. This is particularly important for Hispanic or Latino students who traditionally have high dropout rates. The purpose of this…

  5. Authoritative school climate and high school dropout rates.

    Science.gov (United States)

    Jia, Yuane; Konold, Timothy R; Cornell, Dewey

    2016-06-01

    This study tested the association between school-wide measures of an authoritative school climate and high school dropout rates in a statewide sample of 315 high schools. Regression models at the school level of analysis used teacher and student measures of disciplinary structure, student support, and academic expectations to predict overall high school dropout rates. Analyses controlled for school demographics of school enrollment size, percentage of low-income students, percentage of minority students, and urbanicity. Consistent with authoritative school climate theory, moderation analyses found that when students perceive their teachers as supportive, high academic expectations are associated with lower dropout rates. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

  6. Dropout rates in medical students at one school before and after the installation of admission tests in Austria.

    Science.gov (United States)

    Reibnegger, Gilbert; Caluba, Hans-Christian; Ithaler, Daniel; Manhal, Simone; Neges, Heide Maria; Smolle, Josef

    2011-08-01

    Admission to medical studies in Austria since academic year 2005-2006 has been regulated by admission tests. At the Medical University of Graz, an admission test focusing on secondary-school-level knowledge in natural sciences has been used for this purpose. The impact of this important change on dropout rates of female versus male students and older versus younger students is reported. All 2,860 students admitted to the human medicine diploma program at the Medical University of Graz from academic years 2002-2003 to 2008-2009 were included. Nonparametric and semiparametric survival analysis techniques were employed to compare cumulative probability of dropout between demographic groups. Cumulative probability of dropout was significantly reduced in students selected by active admission procedure versus those admitted openly (P students was only 0.145 (95% CI, 0.106-0.198). Among openly admitted students, but not for selected ones, the cumulative probabilities for dropout were higher for females (P students (P dropout hazard is highest during the second year of study. The introduction of admission testing significantly decreased the cumulative probability for dropout. In openly admitted students a significantly higher risk for dropout was found in female students and in older students, whereas no such effects can be detected after admission testing. Future research should focus on the sex dependence, with the aim of improving success rates among female applicants on the admission tests.

  7. Drop-out and admission cancel rate among the students in a selected medical college.

    Science.gov (United States)

    Wahed, F; Latif, S A; Mahamud, M M; Nessa, A; Hossain, M A; Sultana, S Z; Hossain, M B

    2011-04-01

    A record based descriptive type of study was carried out among the under-graduate students of Mymensingh Medical College from the session 1966-67 to 2006-07. The academic years were divided into four decades and admission was followed into three categories such as retained, cancellation and drop-out. Total number of the students was 5892. Among them 3848(65.30%) were male and 2044(34.69%) were female. Out of 5892 students drop-out was 282(4.78%) and admission cancel was 304(5.15%). It was also found that drop-out in male was 232(6.02%) and in female was 50(2.44%) and admission cancel in male was 266(5.87%) and in female was 78(3.81%). The difference was found statistically significant (pcancel rate is decreasing from the very beginning to till now. It was also observed that all drop-out and admission cancellation were in first & second year students. There was no continuation of their class roll numbers in third year registration.

  8. Factors predicting dropout in student nursing assistants

    DEFF Research Database (Denmark)

    Svensson, Annemarie Lyng; Strøyer, Jesper; Ebbehøj, Niels Erik

    2008-01-01

    BACKGROUND: The dropout rate among student nursing assistants (NAs) in Danish health and social care education is high at >20%. AIMS: To explore if recent low back pain (LBP) history is a predictor of dropout among NA students, taking into account conventional risk factors for LBP, general health...

  9. Dropout and Federal Graduation Rates 2013-2014. Research Brief. Volume 1407

    Science.gov (United States)

    Froman, Terry

    2015-01-01

    The District conducts two kinds of dropout analyses every year in Miami-Dade County Public Schools. The "cross-sectional" analysis of student dropouts examines dropout rates among students enrolled in various grades at one point in time. A "longitudinal" analysis, also conducted annually, tracks a group of students in the same…

  10. Addition by Subtraction: The Relation Between Dropout Rates and School-Level Academic Achievement.

    Science.gov (United States)

    Glennie, Elizabeth; Bonneau, Kara; Vandellen, Michelle; Dodge, Kenneth A

    2012-01-01

    Efforts to improve student achievement should increase graduation rates. However, work investigating the effects of student-level accountability has consistently demonstrated that increases in the standards for high school graduation are correlated with increases in dropout rates. The most favored explanation for this finding is that high-stakes testing policies that mandate grade repetition and high school exit exams may be the tipping point for students who are already struggling academically. These extra demands may, in fact, push students out of school. This article examines two hypotheses regarding the relation between school-level accountability and dropout rates. The first posits that improvements in school performance lead to improved success for everyone. If school-level accountability systems improve a school for all students, then the proportion of students performing at grade level increases, and the dropout rate decreases. The second hypothesis posits that schools facing pressure to improve their overall accountability score may pursue this increase at the cost of other student outcomes, including dropout rate. Our approach focuses on the dynamic relation between school-level academic achievement and dropout rates over time-that is, between one year's achievement and the subsequent year's dropout rate, and vice versa. This article employs longitudinal data of records on all students in North Carolina public schools over an 8-year period. Analyses employ fixed-effects models clustering schools and districts within years and controls each year for school size, percentage of students who were free/reduced-price lunch eligible, percentage of students who are ethnic minorities, and locale. This study finds partial evidence that improvements in school-level academic performance will lead to improvements (i.e., decreases) in school-level dropout rates. Schools with improved performance saw decreased dropout rates following these successes. However, we find

  11. Addition by Subtraction: The Relation Between Dropout Rates and School-Level Academic Achievement

    Science.gov (United States)

    GLENNIE, ELIZABETH; BONNEAU, KARA; VANDELLEN, MICHELLE; DODGE, KENNETH A.

    2013-01-01

    Background/Context Efforts to improve student achievement should increase graduation rates. However, work investigating the effects of student-level accountability has consistently demonstrated that increases in the standards for high school graduation are correlated with increases in dropout rates. The most favored explanation for this finding is that high-stakes testing policies that mandate grade repetition and high school exit exams may be the tipping point for students who are already struggling academically. These extra demands may, in fact, push students out of school. Purpose/Objective/Focus This article examines two hypotheses regarding the relation between school-level accountability and dropout rates. The first posits that improvements in school performance lead to improved success for everyone. If school-level accountability systems improve a school for all students, then the proportion of students performing at grade level increases, and the dropout rate decreases. The second hypothesis posits that schools facing pressure to improve their overall accountability score may pursue this increase at the cost of other student outcomes, including dropout rate. Research Design Our approach focuses on the dynamic relation between school-level academic achievement and dropout rates over time—that is, between one year’s achievement and the subsequent year’s dropout rate, and vice versa. This article employs longitudinal data of records on all students in North Carolina public schools over an 8-year period. Analyses employ fixed-effects models clustering schools and districts within years and controls each year for school size, percentage of students who were free/reduced-price lunch eligible, percentage of students who are ethnic minorities, and locale. Findings/Results This study finds partial evidence that improvements in school-level academic performance will lead to improvements (i.e., decreases) in school-level dropout rates. Schools with improved

  12. Dropout and Graduation Rates 2008-2009. Research Brief. Volume 0902

    Science.gov (United States)

    Research Services, Miami-Dade County Public Schools, 2010

    2010-01-01

    The District conducts a "cross-sectional" analysis of student dropouts annually; it examines dropout rates among students enrolled in various grades at one point in time. A "longitudinal" analysis, also conducted annually, tracks a group of students in the same grade or cohort over a period of several years. Each method…

  13. Dropout and Graduation Rates 2009-2010. Research Brief. Volume 1101

    Science.gov (United States)

    Research Services, Miami-Dade County Public Schools, 2011

    2011-01-01

    The District conducts a "cross-sectional" analysis of student dropouts annually; it examines dropout rates among students enrolled in various grades at one point in time. A "longitudinal" analysis, also conducted annually, tracks a group of students in the same grade or cohort over a period of several years. Each method…

  14. Dropout and Graduation Rates 2010-2011. Research Brief. Volume 1107

    Science.gov (United States)

    Research Services, Miami-Dade County Public Schools, 2012

    2012-01-01

    The District conducts a "cross-sectional" analysis of student dropouts annually; it examines dropout rates among students enrolled in various grades at one point in time. A "longitudinal" analysis, also conducted annually, tracks a group of students in the same grade or cohort over a period of several years. Each method…

  15. Dropout and Graduation Rates 2007-2008. Research Brief. Volume 0804

    Science.gov (United States)

    Research Services, Miami-Dade County Public Schools, 2009

    2009-01-01

    The District conducts a "cross-sectional" analysis of student dropouts annually; it examines dropout rates among students enrolled in various grades at one point in time. A "longitudinal" analysis, also conducted annually, tracks a group of students in the same grade or cohort over a period of several years. Each method…

  16. Tenth Grade Dropout Rates by Native Language, Race/Ethnicity, and Socioeconomic Status

    OpenAIRE

    Rumberger, Russell W.

    2006-01-01

    One of the most important indicators of educational performance is the high school dropout rate. Reducing dropout rates and improving high school graduation rates are important goals for both educators and policymakers. Yet there is a great deal of controversy about how best to measure dropout and graduation rates. This issue of EL Facts provides estimates of dropout rates for language minority students, racial and ethnic groups, and socioeconomic groups.

  17. Dropout policies and trends for students with and without disabilities.

    Science.gov (United States)

    Kemp, Suzanne E

    2006-01-01

    Students with and without disabilities are dropping out of school at an alarming rate. However, the precise extent of the problem remains elusive because individual schools, school districts, and state departments of education often use different definitional criteria and calculation methods. In addition, specific reasons why students drop out continues to be speculative and minimal research exists validating current dropout prevention programs for students with and without disabilities. This study examined methods secondary school principals used to calculate dropout rates, reasons they believed students dropped out of school, and what prevention programs were being used for students with and without disabilities. Results indicated that school districts used calculation methods that minimized dropout rates, students with and without disabilities dropped out for similar reasons, and few empirically validated prevention programs were being implemented. Implications for practice and directions for future research are discussed.

  18. Shifting problems and shifting policies to reduce student drop-out

    DEFF Research Database (Denmark)

    Jørgensen, Christian Helms

    2016-01-01

    , as well as the policies that have been implemented in pursuit of improving student retention. The review identifies two pervasive ways in which the drop-out problem has been framed in both policy and research. The first locates the drop-out problem with individual students, while the second locates...... finds that the rate of student drop-out has been a cause for ongoing concern among policy makers for more than a century, and that the framing of the problem has shifted considerably over time. The problem has variously been placed with the individual apprentice, the basic structure of vocational......Education policy generally places a premium on raising the level of education attained by the young generation ultimately heading towards the labour market. While the rate of enrolment in post-compulsory education has risen in most countries, so too has the rate of drop-out, in particular from...

  19. Working While Studying: The Impact of Term-Time Employment on Dropout Rates

    Science.gov (United States)

    Hovdhaugen, Elisabeth

    2015-01-01

    There are many possible reasons why students leave university prior to degree completion, and one of the more commonly cited is being employed while studying. This paper analyses the impact of employment status on dropout rates using survival analysis. It finds that employment status does have an impact on dropout rates; students who work full…

  20. New Approach to reduce High School Dropout Rates

    Directory of Open Access Journals (Sweden)

    Mauricio Cristhian Portillo-Torres

    2015-05-01

    Full Text Available From 2006 to 2014, the Ministry of Public Education of Costa Rica implemented four strategic actions to reduce high school dropout rates. The main purpose of these actions was to promote student participation and student identification with their school. Studies prepared by the Ministry of Education and the Comptroller of the Republic were revised to assess the impact of these actions. The result of these actions does not show an actual decrease in the number of students who leave high school. Therefore, a more holistic view is necessary to ensure the students’ stay. This review suggests using use the concept of student engagement and applying a three tier system-wide dropout preventive actions: universal, targeted and intensive.

  1. Factors predicting dropout in student nursing assistants.

    Science.gov (United States)

    Svensson, Annemarie Lyng; Strøyer, Jesper; Ebbehøj, Niels Erik; Mortensen, Ole Steen

    2008-12-01

    The dropout rate among student nursing assistants (NAs) in Danish health and social care education is high at >20%. To explore if recent low back pain (LBP) history is a predictor of dropout among NA students, taking into account conventional risk factors for LBP, general health and physical fitness. Prospective study with 14-month follow-up (the duration of the education) in two schools of health and social care in the Region of Copenhagen, Denmark. Participants completed a comprehensive questionnaire, and their physical fitness (balance, back extension endurance, back flexion endurance and sagittal flexibility) was assessed at baseline. Dropout was defined as failure to complete NA education. A total of 790 subjects, 87% of those invited, completed the questionnaire; 612 subjects also completed the physical tests and were included in the present study and 500 (83%) were women. Recent LBP was not an independent predictor of school dropout. However, only among women who had LBP were other factors (a history of previous exposure to heavy physical workload, a low mental health score and failure to pass the back extension endurance test) associated with risk of dropout, OR (95% CI)=2.5 (1.2-5.3). Among men, only low height was significantly associated with dropout risk. A recent LBP history was not an independent single predictor of dropout from NA education but was a risk factor in combination with other factors.

  2. Student Drop-Out from German Higher Education Institutions

    Science.gov (United States)

    Heublein, Ulrich

    2014-01-01

    28% of students of any one year currently give up their studies in bachelor degree programmes at German higher education institutions. Drop-out is to be understood as the definite termination in the higher education system without obtaining an academic degree. The drop-out rate is thereby calculated with the help of statistical estimation…

  3. A Comparative Study of Dropout Rates and Causes for Two Different Distance Education Courses

    Directory of Open Access Journals (Sweden)

    Christos Pierrakeas

    2004-08-01

    Full Text Available This paper reports the results of a survey conducted to examine the root causes leading to student dropout at a Greek distance education university. Data was gathered from two different courses – an undergraduate course leading to a Bachelors degree in Informatics (characterized by high dropout rates, and a postgraduate course leading to a Masters degree in education (characterized by low dropout rates. A comparative analysis of these two different courses revealed important similarities in dropout percentages and the reasons cited by students for dropping out. Our analysis also revealed important differences as well. This paper presents the results of a survey designed to investigate the relationship between dropout with intrinsic (student-related factors such as sickness, work/ school conflict etc., and extrinsic (institutional-related factors such as study methods and materials, educational approach, and tutor influence.

  4. Examining the Factors Affecting Student Dropout

    Directory of Open Access Journals (Sweden)

    Fethi Ahmet INAN

    2006-07-01

    Full Text Available This study examined the factors affecting student dropouts in an online certificate program. In this research, a combination of quantitative and qualitative methods was used. Online Course Dropout Survey was developed and used to determine which factors affect student attrition from the program. The dropout survey was sent by e-mail to 98 students who had dropped the program. Twenty-six students returned the survey. The findings show that the most important factor affecting student retention is finding sufficient time to study. Having personal problems and affordability of the program took second and third place.

  5. The Effect of an Academic Dismissal Policy on Dropout, Graduation Rates and Student Satisfaction. Evidence from the Netherlands

    Science.gov (United States)

    Sneyers, Eline; De Witte, Kristof

    2017-01-01

    This paper examines the effect of the introduction of an academic dismissal (AD) policy (i.e. an intervention, which can lead to compulsory student withdrawal) on student dropout, student graduation rates and satisfaction with the study program. Using a difference-in-differences type of estimator, we compare programs that introduced an AD policy…

  6. Authoritative School Climate and High School Dropout Rates

    Science.gov (United States)

    Jia, Yuane; Konold, Timothy R.; Cornell, Dewey

    2016-01-01

    This study tested the association between school-wide measures of an authoritative school climate and high school dropout rates in a statewide sample of 315 high schools. Regression models at the school level of analysis used teacher and student measures of disciplinary structure, student support, and academic expectations to predict overall high…

  7. Predicting Dropout Using Student- and School-Level Factors: An Ecological Perspective

    Science.gov (United States)

    Wood, Laura; Kiperman, Sarah; Esch, Rachel C.; Leroux, Audrey J.; Truscott, Stephen D.

    2017-01-01

    High school dropout has been associated with negative outcomes, including increased rates of unemployment, incarceration, and mortality. Dropout rates vary significantly depending on individual and environmental factors. The purpose of our study was to use an ecological perspective to concurrently explore student- and school-level predictors…

  8. Exploring Regional and Institutional Factors of International Students' Dropout: The South Korea Case

    Science.gov (United States)

    Jung, Jisun; Kim, Yangson

    2018-01-01

    With an increasing number of international students in South Korea, the issue of retaining these students and reducing their dropout rates has become important. This study explores the multilevel factors that affect the institutional dropout rate among international students in Korea. The research questions are as follows: (a) to what extent do…

  9. Predicting dropout using student- and school-level factors: An ecological perspective.

    Science.gov (United States)

    Wood, Laura; Kiperman, Sarah; Esch, Rachel C; Leroux, Audrey J; Truscott, Stephen D

    2017-03-01

    High school dropout has been associated with negative outcomes, including increased rates of unemployment, incarceration, and mortality. Dropout rates vary significantly depending on individual and environmental factors. The purpose of our study was to use an ecological perspective to concurrently explore student- and school-level predictors associated with dropout for the purpose of better understanding how to prevent it. We used the Education Longitudinal Study of 2002 dataset. Participants included 14,106 sophomores across 684 public and private schools. We identified variables of interest based on previous research on dropout and implemented hierarchical generalized linear modeling. In the final model, significant student-level predictors included academic achievement, retention, sex, family socioeconomic status (SES), and extracurricular involvement. Significant school-level predictors included school SES and school size. Race/ethnicity, special education status, born in the United States, English as first language, school urbanicity, and school region did not significantly predict dropout after controlling for the aforementioned predictors. Implications for prevention and intervention efforts within a multitiered intervention model are discussed. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

  10. Mining Educational Data Using Classification to Decrease Dropout Rate of Students

    OpenAIRE

    Pal, Saurabh

    2012-01-01

    In the last two decades, number of Higher Education Institutions (HEI) grows rapidly in India. Since most of the institutions are opened in private mode therefore, a cut throat competition rises among these institutions while attracting the student to got admission. This is the reason for institutions to focus on the strength of students not on the quality of education. This paper presents a data mining application to generate predictive models for engineering student's dropout management. Gi...

  11. Selected determinants may account for dropout risks among medical students.

    Science.gov (United States)

    Mørcke, Anne Mette; O'Neill, Lotte; Kjeldsen, Inge Trads; Eika, Berit

    2012-09-01

    The dropout level from the Danish medical schools is high, but we have only little insight into this problem. The purpose of this study was to qualify the ongoing discussions concerning dropout. In this retrospective cohort study, relevant variables were extracted from the established database of Aarhus University for the 639 students initiating medicine studies between 1 January 1999 and 31 December 2000. A multivariate pre-admission and post-admission model was examined. Of the 639 medical students, 20% dropped out. Most students dropped out during their first year. The type of admission exam was a strong predictor of dropout in the pre-admission model, whereas previous higher education protected against dropout. Obtaining leave was a very strong predictor of dropout in the post-admission model, whereas high grades protected against dropout. The dropout rate has been decreasing during the past decade. Young people considering studying medicine could be advised to choose natural science subjects in high school, and a number of research questions concerning preparedness for medical school are worth pursuing. Leave or very low grades during the first and second study years might serve as red flags to supervisors. Study research was funded by Aarhus University. Not relevant, register-based research with no biological human material cannot be notified to the Danish Committee System. The Danish Data Protection Agency allows schools to conduct anonymized, non-sensitive, educational analyses without notification.

  12. The influence of different curriculum designs on students’ dropout rate: a case study

    Science.gov (United States)

    Vergel, John; Quintero, Gustavo A.; Isaza-Restrepo, Andrés; Ortiz-Fonseca, Martha; Latorre-Santos, Catalina; Pardo-Oviedo, Juan Mauricio

    2018-01-01

    ABSTRACT The relationship between students’ withdrawal and educational variables has generated a considerable number of publications. As the explosion of information in sciences and integration theories led to creating different curriculum designs, it has been assumed that differences among designs explain academic success and, therefore, students’ retention. However, little attention has been given to examine explicitly how diverse designs influence dropout rates in practice, which questions if decisions to reform curricula are sufficiently informed. This article describes our curriculum reform, which exposes our former and current curriculum designs as having had dissimilar dropout percentages. Furthermore, we aimed to explore the influence of different curriculum designs on students’ dropout rates. The conclusion is that dropout variations may be explained not only because of the curriculum design itself, but also because of the power relationship changes between teachers and students that brought out the design change. Consequently, more research is needed to fully understand the political implications of different curriculum designs and their influence on dropout rates. PMID:29392996

  13. Does the Empirical Literature Inform Prevention of Dropout among Students with Emotional Disturbance? A Systematic Review and Call to Action

    Science.gov (United States)

    Sullivan, Amanda L.; Sadeh, Shanna

    2016-01-01

    For the past 30 years, the dropout rate for students with emotional disturbance has hovered around 50%, a rate substantially higher than the dropout rate for students with other disabilities and the general population. This systematic review evaluated the literature published between 1990 and 2013 on the effectiveness of dropout prevention and…

  14. Student Dropout Rates in Catalan Universities: Profile and Motives for Disengagement

    Science.gov (United States)

    Gairín, Joaquín; Triado, Xavier M.; Feixas, Mònica; Figuera, Pilar; Aparicio-Chueca, Pilar; Torrado, Mercedes

    2014-01-01

    Data from over 21,600 students who left Catalan higher education institutions during the academic years 2000-2001 and 2001-2002 have been analysed in order to describe the academic and personal profiles of university dropouts. Additionally, a telephone survey and face-to-face interviews with a pilot group of leavers were conducted to gather…

  15. The effects of the bologna process on college enrollment and drop-out rates

    OpenAIRE

    Horstschräer, Julia; Sprietsma, Maresa

    2010-01-01

    This paper estimates the short-term effects of the introduction of the Bachelor degree in the framework of the Bologna Process on college enrollment and drop-out rates. We use variation in the timing of the Bachelor implementation at the department level to identify the effect of the reform based on longitudinal administrative student data from Germany. We find no significant effects on college enrollment or drop-out rates for most subjects.

  16. Student dropout in primary and secondary education in the Republic of Serbia

    Directory of Open Access Journals (Sweden)

    Krstić Ksenija

    2017-01-01

    Full Text Available Student dropout from school is a serious problem in educational systems all over the world. This paper will provide an overview of the various dropout definitions and their consequences for measuring and monitoring. Since a diversity of factors (individual, familial, school and systematic is connected with student attrition in foreign research, the attempt has been made to systematise their results and provide data regarding similar Serbian studies. Considering the fact that there are no systematic analyses of students’ dropout rate in Serbia, the existing data from primary and secondary schools from a variety of statistical sources will be presented. We conclude that one way to reduce dropout in Serbia is to further develop research interest in the topic, as well as the strategies for monitoring, prevention and intervention.

  17. Prediction of Student Dropout in E-Learning Program Through the Use of Machine Learning Method

    Directory of Open Access Journals (Sweden)

    Mingjie Tan

    2015-02-01

    Full Text Available The high rate of dropout is a serious problem in E-learning program. Thus it has received extensive concern from the education administrators and researchers. Predicting the potential dropout students is a workable solution to prevent dropout. Based on the analysis of related literature, this study selected student’s personal characteristic and academic performance as input attributions. Prediction models were developed using Artificial Neural Network (ANN, Decision Tree (DT and Bayesian Networks (BNs. A large sample of 62375 students was utilized in the procedures of model training and testing. The results of each model were presented in confusion matrix, and analyzed by calculating the rates of accuracy, precision, recall, and F-measure. The results suggested all of the three machine learning methods were effective in student dropout prediction, and DT presented a better performance. Finally, some suggestions were made for considerable future research.

  18. Exploring the Effects of Financial Aid on the Gap in Student Dropout Risks by Income Level

    Science.gov (United States)

    Chen, Rong; DesJardins, Stephen L.

    2008-01-01

    Using national survey data and discrete-time logit modeling, this research seeks to understand whether student aid mediates the relationship between parental income and student dropout behavior. Our analysis confirms that there is a gap in dropout rates for low-income students compared with their upper income peers, and suggests that some types of…

  19. Dropouts and Budgets: A Test of a Dropout Reduction Model among Students in Israeli Higher Education

    Science.gov (United States)

    Bar-Am, Ran; Arar, Osama

    2017-01-01

    This article deals with the problem of student dropout during the first year in a higher education institution. To date, no model on a budget has been developed and tested to prevent dropout among Engineering Students. This case study was conducted among first-year students taking evening classes in two practical engineering colleges in Israel.…

  20. Trends in High School Dropout and Completion Rates in the United States: 2014. NCES 2018-117

    Science.gov (United States)

    McFarland, Joel; Cui, Jiashan; Stark, Patrick

    2018-01-01

    This report draws on an array of nationally representative surveys and administrative datasets to present statistics on high school dropout and completion rates. The report includes estimates of the percentage of students who drop out in a given 12-month period (event dropout rates), the percentage of young people in a specified age range who are…

  1. Selected determinants may account for dropout risks among medical students

    DEFF Research Database (Denmark)

    Mørcke, Anne Mette; O'Neill, Lotte; Kjeldsen, Inge Trads

    2012-01-01

    INTRODUCTION: The dropout level from the Danish medical schools is high, but we have only little insight into this problem. The purpose of this study was to qualify the ongoing discussions concerning dropout. MATERIAL AND METHODS: In this retrospective cohort study, relevant variables were...... extracted from the established database of Aarhus University for the 639 students initiating medicine studies between 1 January 1999 and 31December 2000. A multivariate pre-admission and post-admission model was examined. RESULTS: Of the 639 medical students, 20% dropped out. Most students dropped out...... during their first year. The type of admission exam was a strong predictor of dropout in the pre-admission model, whereas previous higher education protected against dropout. Obtaining leave was a very strong predictor of dropout in the post-admission model, whereas high grades protected against dropout...

  2. Hidden School Dropout among Immigrant Students: A Cross-Sectional Study

    Science.gov (United States)

    Makarova, Elena; Herzog, Walter

    2013-01-01

    Actual school dropout among immigrant youth has been addressed in a number of studies, but research on hidden school dropout among immigrant students is rare. Thus, the objective of this paper is to analyze hidden school dropout among primary school students with an immigrant background. The analyses were performed using survey data of 1186…

  3. Tracking Drop-out Students in Palestinian Refugee Camps in Lebanon

    Science.gov (United States)

    Al-Hroub, Anies

    2015-01-01

    This research paper examines the perceptions of students on the school drop-out problem in Palestinian refugee camps in Lebanon regarding (a) the social and economic causes associated with the phenomenon of school drop-out; (b) the educational policies and practices used in UNRWA schools and their relationship to student drop-out; and (c) the role…

  4. Reducing School Factors That Lead to Student Dropout at Sussex Central High School

    Science.gov (United States)

    Jerns, Pamela Renee

    2012-01-01

    The focus of this Executive Position Paper (EPP) is to address the dropout rate at Sussex Central High School (SCHS) in the Indian River School District (IRSD). Studies conducted for this EPP align with current research--student dropout is a result of culminating school-based factors that include poor attendance and lack of exposure to rigorous…

  5. Problems and Strategies Regarding Reducing America's Migrant Student Dropout Rate. Congressional Testimony Delivered in Response to a Request from the National Commission on Migrant Education.

    Science.gov (United States)

    Helge, Doris

    Studies conducted by the National Rural Development Institute (NRDI) indicate that migrant students have a higher school dropout rate than non-migrant students. In addition, rural migrant students experience higher levels of family dysfunction and abuse, teen pregnancy, emotional difficulties such as depression or low self-esteem, poverty,…

  6. Social factors outside of family and school related to student dropout

    Directory of Open Access Journals (Sweden)

    Stepanović-Ilić Ivana

    2017-01-01

    Full Text Available The paper presents a systematisation of broader social factors affecting student dropout in Serbia from the framework of Bronfenbrenner’s approach. Although recognised by authors and commonly related to community and education as a system, these factors are rarely investigated. Starting from our previous research into dropout, focused primarily on family and school, this study is aimed at investigating community and systemic factors. The data were compiled by semi-structured interviews with respondents from the following groups (including relevant public statistical data: students who dropped out/are at risk and their parents; school principals and counsellors from schools with high and low attrition rates; teachers’, parents’ and students’ representatives from schools with high dropout rates; social workers in charge of schools with a low attrition rate; representatives of national educational institutions. The findings reveal that factors with a negative impact on children’s education dominate over supportive ones which could have a preventive effect on attrition. Negative influences exist in all social niches: in microsystems (peers prone to risky behaviour, poor neighbourhoods, in weak mesosystem connections of school and family with local institutions, in exosystems (undeveloped regions, up to the macrosystem level (legislative inefficiency, lack of cooperation within educational institutions and between governmental departments. Productive features were observed in mesosystem connections of schools as examples of good practice, as well as at macrosystem level in the form of recognising the dropout problem at the national level. Although preliminary, the obtained results provide useful guidelines for future investigations.

  7. Prediction of Student Dropout in E-Learning Program Through the Use of Machine Learning Method

    OpenAIRE

    Mingjie Tan; Peiji Shao

    2015-01-01

    The high rate of dropout is a serious problem in E-learning program. Thus it has received extensive concern from the education administrators and researchers. Predicting the potential dropout students is a workable solution to prevent dropout. Based on the analysis of related literature, this study selected student’s personal characteristic and academic performance as input attributions. Prediction models were developed using Artificial Neural Network (ANN), Decision Tree (DT) and Bayesian Ne...

  8. A meta-analysis of dropout rates in acceptance and commitment therapy.

    Science.gov (United States)

    Ong, Clarissa W; Lee, Eric B; Twohig, Michael P

    2018-05-01

    Many psychotherapies, including cognitive behavioral therapy and acceptance and commitment therapy (ACT), have been found to be effective interventions for a range of psychological and behavioral health concerns. Another aspect of treatment utility to consider is dropout, as interventions only work if clients are engaged in them. To date, no research has used meta-analytic methods to examine dropout in ACT. Thus, the objectives of the present meta-analysis were to (1) determine the aggregate dropout rate for ACT in randomized controlled trials, (2) compare dropout rates in ACT to those in other psychotherapies, and (3) identify potential moderators of dropout in ACT. Our literature search yielded 68 studies, representing 4,729 participants. The weighted mean dropout rates in ACT exclusive conditions and ACT inclusive conditions (i.e., those that included an ACT intervention) were 15.8% (95% CI: 11.9%, 20.1%) and 16.0% (95% CI: 12.5%, 19.8%), respectively. ACT dropout rates were not significantly different from those of established psychological treatments. In addition, dropout rates did not vary by client characteristics or study methodological quality. However, master's-level clinicians/therapists (weighted mean = 29.9%, CI: 17.6%, 43.8%) were associated with higher dropout than psychologists (weighted mean = 12.4%, 95% CI: 6.7%, 19.4%). More research on manipulable, process variables that influence dropout is needed. Copyright © 2018 Elsevier Ltd. All rights reserved.

  9. Dropout Rates, Student Momentum, and Course Walls: A New Tool for Distance Education Designers

    Science.gov (United States)

    Christensen, Steven S.; Spackman, Jonathan S.

    2017-01-01

    This paper explores a new tool for instructional designers. By calculating and graphing the Student Momentum Indicator (M) for 196 university-level online courses and by employing the constant comparative method within the grounded theory framework, eight distinct graph shapes emerged as meaningful categories of dropout behavior. Several of the…

  10. A District View: Dropouts and the Differentiated Diploma

    Science.gov (United States)

    Holden, E. Todd

    2012-01-01

    More students are deciding to dropout of school prior to graduation. As a result the dropout rate has become a hot topic in education across the United States. The average high school dropout salary is approximately 50% less than the salary of a high school graduate. The social factors are another reason the dropout rate needs to be a high…

  11. Aggressive Students and High School Dropout: An Event History Analysis

    Science.gov (United States)

    Orozco, Steven R.

    2016-01-01

    Aggressive students often struggle in multiple domains of their school functioning and are at increased risk for high school dropout. Research has identified a variety of warning flags which are strong predictors of high school dropout. While it is known that aggressive students exhibit many of these warning flags, there is little research which…

  12. Emotional variables, dropout and academic performance in Spanish nursing students.

    Science.gov (United States)

    Roso-Bas, Fátima; Pades Jiménez, Antonia; García-Buades, Esther

    2016-02-01

    The dropout of university studies is a main concern in many countries, also for Health Sciences degrees. The reviews on dropout in all university degrees as well as nursing generally show multidimensional causes with factors related both to institutional and students' characteristics. Regarding the personal variables of students, researchers have focused on financial, family and personality features. Far less attention has been devoted to emotional variables. This study aims to explore whether individual variables of the emotional domain such as perceived emotional intelligence, dispositional optimism/pessimism and depressive rumination are related and/or can predict students' intention to dropout and academic performance. Using a cross-correlational approach, data were obtained from a sample of 144 nursing students. Students with a pessimistic disposition revealed a greater tendency to drop out. The remaining variables correlated significantly with pessimism but had no predictive value on dropout. Our results suggest that students with low levels of emotional clarity and repair and high depressive rumination have pessimistic expectations, so they are more likely to leave studies. No significant results were found in relation to academic performance. We conclude with an identification of strategies to increase retention and academic success. Copyright © 2015 Elsevier Ltd. All rights reserved.

  13. Student Dropout from the Perspectives of Junior High Counselors in Northeast Mississippi

    Science.gov (United States)

    Bennett, Kelly Ann

    2013-01-01

    I investigated fifteen junior high counselors' understandings about student dropout, particularly about identification of and interventions for students at risk for dropping out of school. As an educator, I desired to research the phenomenon of student dropout to understand how to better reach these types of students. Research is available…

  14. University Drop-Out: An Italian Experience

    Science.gov (United States)

    Belloc, Filippo; Maruotti, Antonello; Petrella, Lea

    2010-01-01

    University students' drop-out is a crucial issue for the universities' efficiency evaluation and funding. In this paper, we analyze the drop-out rate of the Economics and Business faculty of Sapienza University of Rome. We use administrative data on 9,725 undergraduates students enrolled in three-years bachelor programs from 2001 to 2007 and…

  15. The impact of community schools on student dropout in pre-vocational education

    OpenAIRE

    Heers, M.; van Klaveren, C.; Groot, W.; Maassen van den Brink, H.

    2012-01-01

    Dropout prevention is highly ranked on the political agenda in many countries. It remains unclear, however, how dropout can be effectively reduced, as many different factors are determining student dropout. Community schools recognize this and modernize education such that it better accommodates students' personal needs. As a result these schools cooperate more with external organizations, stimulate parental involvement in the educational process and organize more extracurricular activities. ...

  16. Patterns and Factors of High School Dropout Risks of Racial and Linguistic Groups

    Science.gov (United States)

    Kim, Sunha; Chang, Mido; Singh, Kusum; Allen, Katherine R.

    2015-01-01

    This study examined the dropout trajectories of racial and linguistic minority students and explored the effects of students' contextual factors on their high school dropout risks. Our motivation was to identify the dropout patterns of Black, Hispanic, and Hispanic English language learner (ELL) students, who have comparatively high dropout rates,…

  17. The impact of community schools on student dropout in pre-vocational education

    NARCIS (Netherlands)

    Heers, Marieke; Van Klaveren, Chris; Groot, Wim; van den Brink, Henriëtte Maassen

    2014-01-01

    Dropout prevention is highly ranked on the political agenda in many countries. It remains unclear, however, how dropout can be effectively reduced, as many different factors determine student dropout. Community schools recognize this and aim to modernize education such that it better accommodates

  18. The impact of community schools on student dropout in pre-vocational education

    NARCIS (Netherlands)

    Heers, M.; van Klaveren, C.; Groot, W.; Maassen van den Brink, H.

    2012-01-01

    Dropout prevention is highly ranked on the political agenda in many countries. It remains unclear, however, how dropout can be effectively reduced, as many different factors are determining student dropout. Community schools recognize this and modernize education such that it better accommodates

  19. Student Dropout at the Hellenic Open University: Evaluation of the Graduate Program, "Studies in Education"

    Directory of Open Access Journals (Sweden)

    Dimitris Vergidis

    2002-10-01

    Full Text Available This study traces the root causes of dropout rates in one post-graduate course “Studies in Education,” offered by the Hellenic Open University (HOU. From our research findings, it was found that the main cause of dropping out stem from a combination of adult learners’ obligations, specifically balancing their academic workload with their employment commitments and family obligations (mainly for female students. The second reason for dropout rates among adult distance education learners include students’ miscalculation of the available time for studying and their underestimation of the extra effort required for effective learning. These reasons can be compared to the educational material, which, in general, was not considered overly difficult and did not appear to compel students to abandon their studies.

  20. Student engagement and its relationship with early high school dropout.

    Science.gov (United States)

    Archambault, Isabelle; Janosz, Michel; Fallu, Jean-Sébastien; Pagani, Linda S

    2009-06-01

    Although the concept of school engagement figures prominently in most school dropout theories, there has been little empirical research conducted on its nature and course and, more importantly, the association with dropout. Information on the natural development of school engagement would greatly benefit those interested in preventing student alienation during adolescence. Using a longitudinal sample of 11,827 French-Canadian high school students, we tested behavioral, affective, cognitive indices of engagement both separately and as a global construct. We then assessed their contribution as prospective predictors of school dropout using factor analysis and structural equation modeling. Global engagement reliably predicted school dropout. Among its three specific dimensions, only behavioral engagement made a significant contribution in the prediction equation. Our findings confirm the robustness of the overall multidimensional construct of school engagement, which reflects both cognitive and psychosocial characteristics, and underscore the importance attributed to basic participation and compliance issues in reliably estimating risk of not completing basic schooling during adolescence.

  1. Predicting Drop-Out from Social Behaviour of Students

    Science.gov (United States)

    Bayer, Jaroslav; Bydzovska, Hana; Geryk, Jan; Obsivac, Tomas; Popelinsky, Lubomir

    2012-01-01

    This paper focuses on predicting drop-outs and school failures when student data has been enriched with data derived from students social behaviour. These data describe social dependencies gathered from e-mail and discussion board conversations, among other sources. We describe an extraction of new features from both student data and behaviour…

  2. Pharmacogenetic analysis of opioid dependence treatment dose and dropout rate.

    Science.gov (United States)

    Crist, Richard C; Li, James; Doyle, Glenn A; Gilbert, Alex; Dechairo, Bryan M; Berrettini, Wade H

    2018-01-01

    Currently, no pharmacogenetic tests for selecting an opioid-dependence pharmacotherapy have been approved by the US Food and Drug Administration. Determine the effects of variants in 11 genes on dropout rate and dose in patients receiving methadone or buprenorphine/naloxone (ClinicalTrials.gov Identifier: NCT00315341). Variants in six pharmacokinetic genes (CYP1A2, CYP2B6, CYP2C19, CYP2C9, CYP2D6, CYP3A4) and five pharmacodynamic genes (HTR2A, OPRM1, ADRA2A, COMT, SLC6A4) were genotyped in samples from a 24-week, randomized, open-label trial of methadone and buprenorphine/naloxone for the treatment of opioid dependence (n = 764; 68.7% male). Genotypes were then used to determine the metabolism phenotype for each pharmacokinetic gene. Phenotypes or genotypes for each gene were analyzed for association with dropout rate and mean dose. Genotype for 5-HTTLPR in the SLC6A4 gene was nominally associated with dropout rate when the methadone and buprenorphine/naloxone groups were combined. When the most significant variants associated with dropout rate were analyzed using pairwise analyses, SLC6A4 (5-HTTLPR) and COMT (Val158Met; rs4860) had nominally significant associations with dropout rate in methadone patients. None of the genes analyzed in the study was associated with mean dose of methadone or buprenorphine/naloxone. This study suggests that functional polymorphisms related to synaptic dopamine or serotonin levels may predict dropout rates during methadone treatment. Patients with the S/S genotype at 5-HTTLPR in SLC6A4 or the Val/Val genotype at Val158Met in COMT may require additional treatment to improve their chances of completing addiction treatment. Replication in other methadone patient populations will be necessary to ensure the validity of these findings.

  3. Do School Budgets Matter? The Effect of Budget Referenda on Student Dropout Rates

    Science.gov (United States)

    Lee, Kyung-Gon; Polachek, Solomon W.

    2018-01-01

    This paper analyzes how changes in school expenditures affect dropout rates based on data from 466 school districts in New York during the 2003/04 to the 2007/08 school years. Past traditional regression approaches show mixed results in part because school expenditures are likely endogenous, so that one cannot disentangle cause and effect. The…

  4. Latent profile analysis of sixth graders based on teacher ratings: Association with school dropout.

    Science.gov (United States)

    Orpinas, Pamela; Raczynski, Katherine; Peters, Jaclyn Wetherington; Colman, Laura; Bandalos, Deborah

    2015-12-01

    The goal of this study was to identify meaningful groups of sixth graders with common characteristics based on teacher ratings of assets and maladaptive behaviors, describe dropout rates for each group, and examine the validity of these groups using students' self-reports. The sample consisted of racially diverse students (n = 675) attending sixth grade in public schools in Northeast Georgia. The majority of the sample was randomly selected; a smaller group was identified by teachers as high risk for aggression. Based on teacher ratings of externalizing behaviors, internalizing problems, academic skills, leadership, and social assets, latent profile analysis yielded 7 classes that can be displayed along a continuum: Well-Adapted, Average, Average-Social Skills Deficit, Internalizing, Externalizing, Disruptive Behavior with School Problems, and Severe Problems. Dropout rate was lowest for the Well-adapted class (4%) and highest for the Severe Problems class (58%). However, students in the Average-Social Skills Deficit class did not follow the continuum, with a large proportion of students who abandoned high school (29%). The proportion of students identified by teachers as high in aggression consistently increased across the continuum from none in the Well-Adapted class to 84% in the Severe Problems class. Students' self-reports were generally consistent with the latent profile classes. Students in the Well-Adapted class reported low aggression, drug use, and delinquency, and high life satisfaction; self-reports went in the opposite direction for the Disruptive Behaviors with School Problems class. Results highlight the importance of early interventions to improve academic performance, reduce externalizing behaviors, and enhance social assets. (c) 2015 APA, all rights reserved).

  5. High school dropouts: interactions between social context, self-perceptions, school engagement, and student dropout.

    Science.gov (United States)

    Fall, Anna-Mária; Roberts, Greg

    2012-08-01

    Research suggests that contextual, self-system, and school engagement variables influence dropping out from school. However, it is not clear how different types of contextual and self-system variables interact to affect students' engagement or contribute to decisions to dropout from high school. The self-system model of motivational development represents a promising theory for understanding this complex phenomenon. The self-system model acknowledges the interactive and iterative roles of social context, self-perceptions, school engagement, and academic achievement as antecedents to the decision to dropout of school. We analyzed data from the Education Longitudinal Study of 2002-2004 in the context of the self-system model, finding that perception of social context (teacher support and parent support) predicts students' self-perceptions (perception of control and identification with school), which in turn predict students' academic and behavioral engagement, and academic achievement. Further, students' academic and behavioral engagement and achievement in 10th grade were associated with decreased likelihood of dropping out of school in 12th grade. Published by Elsevier Ltd.

  6. Analyzing the Discourse of Dropouts and Resilient Students

    Science.gov (United States)

    Lessard, Anne; Butler-Kisber, Lynn; Fortin, Laurier; Marcotte, Diane

    2014-01-01

    The authors focused on high school students who were at risk of dropping out and examined why some of these students persevered and graduated while others ended up dropping out of school. Sixty resilient students and 80 dropouts participated in the study. Our results indicate that although learning difficulties were shared by participants, 4 types…

  7. Student Drop-Out Trends at Sultan Qaboos University and Kuwait University: 2000-2011

    Science.gov (United States)

    Al Ghanboosi, Salim Saleem; Alqahtani, Abdulmuhsen Ayedh

    2013-01-01

    The current study aims to explore the drop-out trends at Sultan Qaboos. University and Kuwait University. Archival data of the period 2000-2011 were used to achieve this goal. Main findings showed that (a) male drop-out rates are higher than female drop-out rates; (b) drop- out rates at scientific colleges are higher; (c) drop-out rates of…

  8. An Exploration of Students' Own Explanations about Dropout in Vocational Education in a Danish Context

    Science.gov (United States)

    Tanggaard, Lene

    2013-01-01

    The present paper addresses the phenomenon of student dropout from vocational education in Denmark. It does so by addressing the need to critically discuss the term "drop-out" taking the perspective of students' own reflections on the topic. The empirical findings indicate that dropout is considered in terms of two very different, but…

  9. Investigating the Impact of Financial Aid on Student Dropout Risks: Racial and Ethnic Differences

    Science.gov (United States)

    Chen, Rong; DesJardins, Stephen L.

    2010-01-01

    This study focuses on the differences in college student dropout behavior among racial/ethnic groups. We employ event history methods and data from the Beginning Postsecondary Students (BPS) and National Postsecondary Student Aid Study (NPSAS) surveys to investigate how financial aid may differentially influence dropout risks among these student…

  10. The Causes of Dropout in Rural Primary Schools in Malawi

    OpenAIRE

    谷口, 京子

    2017-01-01

    High dropout rates is a critical issue in most of developing countries. Malawi follows this trend of student nonpersistence; in 2013, the primary school dropout rate was approximately 12.2%.This study aims to find the causes of dropout in rural Malawian primary schools. There are two features: data were collected through survival analysis, which has been used to study dropout in developed countries; a multilevel logistic regression was used to classify individual, family, teacher and school f...

  11. The Effects of the Introduction of Bachelor Degrees on College Enrollment and Dropout Rates

    Science.gov (United States)

    Horstschräer, Julia; Sprietsma, Maresa

    2015-01-01

    We estimate the short-term effects of the introduction of the Bachelor degree system in Germany, a change in degree regulations such that students need less time to earn a first degree, on college enrollment and dropout rates. We use variation in the timing of the reform at the university department level to identify the effects of the reform…

  12. Reexamining Gifted Underachievement and Dropout through the Lens of Student Engagement

    Science.gov (United States)

    Landis, Rebecca N.; Reschly, Amy L.

    2013-01-01

    The issue of high school dropout has long concerned policy makers, educational professionals, and the general public. In the gifted literature, this concern is no less pressing. Student engagement is becoming an increasingly discussed construct for conceptualizing the dropout phenomenon and designing appropriate interventions to prevent this…

  13. Dose-rate effects of low-dropout voltage regulator at various biases

    International Nuclear Information System (INIS)

    Wang Yiyuan; Zheng Yuzhan; Gao Bo; Chen Rui; Fei Wuxiong; Lu Wu; Ren Diyuan

    2010-01-01

    A low-dropout voltage regulator, LM2941, was irradiated by 60 Co γ-rays at various dose rates and biases for investigating the total dose and dose rate effects. The radiation responses show that the key electrical parameters, including its output and dropout voltage, and the maximum output current, are sensitive to total dose and dose rates, and are significantly degraded at low dose rate and zero bias. The integrated circuits damage change with the dose rates and biases, and the dose-rate effects are relative to its electric field. (authors)

  14. When and Why Dropouts Leave High School

    Science.gov (United States)

    Stearns, Elizabeth; Glennie, Elizabeth J.

    2006-01-01

    Teens may leave school because of academic failure, disciplinary problems, or employment opportunities. In this article, the authors test whether the reasons dropouts leave school differ by grade level and age. We compare dropout rates and reasons across grade levels and ages for all high school students, ethnic groups, and gender groups. Across…

  15. ENHANCED PREDICTION OF STUDENT DROPOUTS USING FUZZY INFERENCE SYSTEM AND LOGISTIC REGRESSION

    Directory of Open Access Journals (Sweden)

    A. Saranya

    2016-01-01

    Full Text Available Predicting college and school dropouts is a major problem in educational system and has complicated challenge due to data imbalance and multi dimensionality, which can affect the low performance of students. In this paper, we have collected different database from various colleges, among these 500 best real attributes are identified in order to identify the factor that affecting dropout students using neural based classification algorithm and different mining technique are implemented for data processing. We also propose a Dropout Prediction Algorithm (DPA using fuzzy logic and Logistic Regression based inference system because the weighted average will improve the performance of whole system. We are experimented our proposed work with all other classification systems and documented as the best outcomes. The aggregated data is given to the decision trees for better dropout prediction. The accuracy of overall system 98.6% it shows the proposed work depicts efficient prediction.

  16. Biased Dropout and Crossmap Dropout: Learning towards effective Dropout regularization in convolutional neural network.

    Science.gov (United States)

    Poernomo, Alvin; Kang, Dae-Ki

    2018-08-01

    Training a deep neural network with a large number of parameters often leads to overfitting problem. Recently, Dropout has been introduced as a simple, yet effective regularization approach to combat overfitting in such models. Although Dropout has shown remarkable results on many deep neural network cases, its actual effect on CNN has not been thoroughly explored. Moreover, training a Dropout model will significantly increase the training time as it takes longer time to converge than a non-Dropout model with the same architecture. To deal with these issues, we address Biased Dropout and Crossmap Dropout, two novel approaches of Dropout extension based on the behavior of hidden units in CNN model. Biased Dropout divides the hidden units in a certain layer into two groups based on their magnitude and applies different Dropout rate to each group appropriately. Hidden units with higher activation value, which give more contributions to the network final performance, will be retained by a lower Dropout rate, while units with lower activation value will be exposed to a higher Dropout rate to compensate the previous part. The second approach is Crossmap Dropout, which is an extension of the regular Dropout in convolution layer. Each feature map in a convolution layer has a strong correlation between each other, particularly in every identical pixel location in each feature map. Crossmap Dropout tries to maintain this important correlation yet at the same time break the correlation between each adjacent pixel with respect to all feature maps by applying the same Dropout mask to all feature maps, so that all pixels or units in equivalent positions in each feature map will be either dropped or active during training. Our experiment with various benchmark datasets shows that our approaches provide better generalization than the regular Dropout. Moreover, our Biased Dropout takes faster time to converge during training phase, suggesting that assigning noise appropriately in

  17. ENHANCED PREDICTION OF STUDENT DROPOUTS USING FUZZY INFERENCE SYSTEM AND LOGISTIC REGRESSION

    OpenAIRE

    A. Saranya; J. Rajeswari

    2016-01-01

    Predicting college and school dropouts is a major problem in educational system and has complicated challenge due to data imbalance and multi dimensionality, which can affect the low performance of students. In this paper, we have collected different database from various colleges, among these 500 best real attributes are identified in order to identify the factor that affecting dropout students using neural based classification algorithm and different mining technique are implemented for dat...

  18. High School Dropouts: Interactions between Social Context, Self-Perceptions, School Engagement, and Student Dropout

    Science.gov (United States)

    Fall, Anna-Maria; Roberts, Greg

    2012-01-01

    Research suggests that contextual, self-system, and school engagement variables influence dropping out from school. However, it is not clear how different types of contextual and self-system variables interact to affect students' engagement or contribute to decisions to dropout from high school. The self-system model of motivational development…

  19. Factors influencing dropout rate of intermittent preventive treatment of malaria during pregnancy.

    Science.gov (United States)

    Doku, David Teye; Zankawah, Mumuni Mukaila; Adu-Gyamfi, Addae Boateng

    2016-10-10

    The burden of malaria in terms of morbidity and mortality is huge is Sub-Saharan Africa, particularly among pregnant women. Among the measures to curb down this burden include intermittent preventive treatment (IPT) and effective case management. These strategies were adopted by Ghana and implemented since 2003; however, there is still high dropout rate in IPT coverage. This study sought to investigate factors contributing to high dropout rate between IPT1 and IPT3 in the Tamale Metropolis, one of the health facilities with the highest IPT dropout rates in Ghana. Survey, in-depth interviews and short ethnographic techniques were conducted among pregnant women, antenatal care (ANC) health workers and heads of health facilities to investigate factors which account for dropout rate of intermittent treatment of malaria. Shortage of sulphadoxine pyrimethamine (SP), inadequate supply of portable water for administration of SP, unavailability of IPT during outreach services, lack of knowledge by ANC staff about the dropout rate in their area of jurisdiction and poor attitude of some health workers were identified as barriers to achieving high IPT3 coverage. Late ANC visit, provider and logistical barriers account for the women's missed opportunities to prevent malaria in pregnancy through IPT. Addressing the above barriers will contribute to saving lives and ensuring progress towards the goal of combating malaria as well as reducing maternal, neonatal and child mortalities.

  20. Is the Glass Half Empty or Half Full? Enrollment, Graduation, and Dropout Rates in Latin America

    OpenAIRE

    Marina Bassi; Matias Busso; Juan Sebastián Muñoz

    2014-01-01

    We use 292 household surveys from 18 Latin American countries to document patterns in secondary school graduation rates over the period 1990-2010. We find that enrollment and graduation rates increased during that period while dropout rates decreased. We provide two types of explanations for these patterns. Countries implemented changes on the supply side to increase access, by increasing the resources allocated to education and designing policies to help students staying in school. Despite t...

  1. The new dropout challenge: bridging gaps among students, parents, and teachers.

    Science.gov (United States)

    Bridgeland, John M

    2010-01-01

    Interview and survey data reveal significant disconnects among the insights and perspectives of dropouts, parents, teachers, and administrators on the causes and solutions to the dropout challenge. Many educators, for example, do not see boredom as a factor for most dropouts, while young people who drop out see it as the central cause. The author argues that if these disconnects are not more fully understood and bridged, they will continue to set back efforts to keep more students in school and on track to graduate ready for postsecondary education. Models for how communities can engage these constituencies in productive dialogue and transformative action are included in reports and in Grad Nation, a guidebook that helps communities tackle their dropout crises.

  2. Reducing Dropouts in Online Education-Group Tutoring in Virtual Seminars and Support Structures

    Science.gov (United States)

    Holmgren, Robert; Johansson, Sigurd

    2012-01-01

    This paper describes a development project aimed at reducing the large number of dropouts in online degree project courses. The idea was that the introduction of group tutorials in virtual seminars, combined with extensive support materials, would reduce dropout rates. Among the students who participated, the dropout rate was reduced by 50%…

  3. Finishing high school: alternative pathways and dropout recovery.

    Science.gov (United States)

    Tyler, John H; Lofstrom, Magnus

    2009-01-01

    John Tyler and Magnus Lofstrom take a close look at the problems posed when students do not complete high school. The authors begin by discussing the ongoing, sometimes heated, debate over how prevalent the dropout problem is. They note that one important reason for discrepancies in reported dropout rates is whether holders of the General Educational Development (GED) credential are counted as high school graduates. The authors also consider the availability of appropriate student data. The overall national dropout rate appears to be between 22 and 25 percent, but the rate is higher among black and Hispanic students, and it has not changed much in recent decades. Tyler and Lofstrom conclude that schools are apparently doing about as well now as they were forty years ago in terms of graduating students. But the increasingly competitive pressures associated with a global economy make education ever more important in determining personal and national well-being. A student's decision to drop out of school, say the authors, is affected by a number of complex factors and is often the culmination of a long process of disengagement from school. That decision, not surprisingly, carries great cost to both the student and society. Individual costs include lower earnings, higher likelihood of unemployment, and greater likelihood of health problems. Because minority and low-income students are significantly more likely than well-to-do white students to drop out of school, the individual costs fall unevenly across groups. Societal costs include loss of tax revenue, higher spending on public assistance, and higher crime rates. Tyler and Lofstrom go on to survey research on programs designed to reduce the chances of students' dropping out. Although the research base on this question is not strong, they say, close mentoring and monitoring of students appear to be critical components of successful programs. Other dropout-prevention approaches associated with success are family

  4. Teacher professionalisation and dropout rates in adult education

    DEFF Research Database (Denmark)

    Wahlgren, Bjarne; Mariager-Anderson, Kristina

    2015-01-01

    in by the teachers, interviews with the teachers, and by the teachers’ written logbooks. The preliminary conclusion is that it is the general attitude in the teacher groups towards the importance of improving retention that is of significance for the documented effects on the drop-out rates.......This article reports findings from a research project titled New roles for the teacher - Increased completion through social responsibility. This research, designed as an intervention project, has an overall aim of reducing absence and drop-out rates in the Danish vocational and general adult...... educational system by developing and improving the teachers’ competences. This has been pursued in the research project through engaging teachers in training aimed at improving their socio-pedagogical competences. The effect of this training has been measured by electronic questionnaires filled...

  5. Causes of Student Absenteeism and School Dropouts

    Science.gov (United States)

    Sahin, Seyma; Arseven, Zeynep; Kiliç, Abdurrahman

    2016-01-01

    The aim of the study is to investigate the causes of student absenteeism and school dropouts at primary, secondary and high school level in Düzce Province and to develop suggestions for solving these problems. A "case study" design, which is one of the qualitative research approaches, was used in this study. The study group consisted of…

  6. Student Enrollment and Dropout: An Evaluation Study of DCSA Program at Bangladesh Open University

    Science.gov (United States)

    Rashid, Mohammad Mamunur; Jahan, Monira; Islam, Md. Anwarul; Ratna, Meherin Munjarin

    2015-01-01

    The aim of this study is to investigate the present status of DCSA program focusing on student enrollment, dropout, and completion trends. The study tries to explore the factors that attract or pull students to enroll in the program and push them to dropout from the program. Secondary data analysis and interview are used to generate data of the…

  7. Factors that Influence Students' Decision to Dropout of Online Courses

    Science.gov (United States)

    Willging, Pedro A.; Johnson, Scott D.

    2009-01-01

    Although there are many reasons why students dropout of college courses, those reasons may be unique for students who are enrolled in an online program. Issues of isolation, disconnectedness, and technological problems may be factors that influence a student to leave a course. To understand these factors, an online survey was developed to collect…

  8. Adolescent use of school-based health centers and high school dropout.

    Science.gov (United States)

    Kerns, Suzanne E U; Pullmann, Michael D; Walker, Sarah Cusworth; Lyon, Aaron R; Cosgrove, T J; Bruns, Eric J

    2011-07-01

    To determine the association between use of school-based health centers (SBHCs) and school dropout. Quasi-experimental longitudinal analysis of a retrospective student cohort, with SBHC use as the independent variable. We statistically controlled for dropout risk and used propensity score regression adjustment to control for several factors associated with SBHC use. Integrated database from an urban public school district (academic outcomes) and department of public health (SBHC use). District-enrolled students in their first semester of ninth grade in 2005 (N = 3334), followed up through their anticipated on-time graduation semester of 12th grade in 2009. Students were divided into 4 groups: never used (47%); low use (23%); moderate use (20%); and high users (10%). Time to nongraduation (described as dropout). Low to moderate SBHC use (0.125-2.5 visits per semester) was associated with a 33% reduction in dropout compared with non-SBHC users. The high-use group (>2.5 visits per semester) did not have dropout rates that differed from nonusers. For SBHC users who did drop out, dropout occurred approximately 1 semester later than nonusers. Exploratory analyses revealed that the association between SBHC use and prevention of dropout was greatest for higher-risk students. This study found an association between low to moderate SBHC use and reductions in dropout for high school students in an urban school district, especially for students at higher risk for dropout. This study supports the theory that benefits of SBHCs extend beyond managing physical and mental health needs to include academic outcomes.

  9. Dropout in the lower tracks of Dutch secondary education : Predictor variables and variation among schools

    NARCIS (Netherlands)

    Luyten, H; Bosker, R.J.; Dekkers, H; Derks, A

    2003-01-01

    This study analyses the data from a large-scale longitudinal investigation into the effect of both school and student characteristics on the dropout rate for students in lower secondary education in The Netherlands. Dropout rates were found to vary significantly between schools, but only a single

  10. Sustainable Education: Analyzing the Determinants of University Student Dropout by Nonlinear Panel Data Models

    Directory of Open Access Journals (Sweden)

    Donggeun Kim

    2018-03-01

    Full Text Available University dropout is a serious problem. It affects not only the individual who drops out but also the university and society. However, most previous studies have focused only on the subjective/individual level. University dropout is a very important issue in South Korea, but it has not received much research attention so far. This study examined the possible causes of university dropout in South Korea at the aggregate level, focusing on four fundamental categories: students, resources, faculty, and university characteristics. Three-year balanced panel data from 2013 to 2015 were constructed and estimated by using nonlinear panel data models. The findings show that cost and burden for students, financial resources, qualitative and quantitative features of faculty, and type/size of the university have significant effects on university dropout.

  11. Understanding Catalan University Dropout from a Cross-National Approach

    Science.gov (United States)

    Rodríguez-Gómez, David; Feixas, Mònica; Gairín, Joaquín; Muñoz, José Luís

    2015-01-01

    The dropout rate is an indicator of complex analysis and there is no consensus on its significance. Universities lack systematized, univocal methods for collecting student dropout data, making measurement problematic. In consequence, the formulas applied to analyze this phenomenon differ between countries and it is therefore an immense challenge…

  12. Factors affecting the probability of first year medical student dropout in the UK: a logistic analysis for the intake cohorts of 1980-92.

    Science.gov (United States)

    Arulampalam, Wiji; Naylor, Robin; Smith, Jeremy

    2004-05-01

    In the context of the 1997 Report of the Medical Workforce Standing Advisory Committee, it is important that we develop an understanding of the factors influencing medical school retention rates. To analyse the determinants of the probability that an individual medical student will drop out of medical school during their first year of study. Binomial and multinomial logistic regression analysis of individual-level administrative data on 51 810 students in 21 medical schools in the UK for the intake cohorts of 1980-92 was performed. The overall average first year dropout rate over the period 1980-92 was calculated to be 3.8%. We found that the probability that a student would drop out of medical school during their first year of study was influenced significantly by both the subjects studied at A-level and by the scores achieved. For example, achieving 1 grade higher in biology, chemistry or physics reduced the dropout probability by 0.38% points, equivalent to a fall of 10%. We also found that males were about 8% more likely to drop out than females. The medical school attended also had a significant effect on the estimated dropout probability. Indicators of both the social class and the previous school background of the student were largely insignificant. Policies aimed at increasing the size of the medical student intake in the UK and of widening access to students from non-traditional backgrounds should be informed by evidence that student dropout probabilities are sensitive to measures of A-level attainment, such as subject studied and scores achieved. If traditional entry requirements or standards are relaxed, then this is likely to have detrimental effects on medical schools' retention rates unless accompanied by appropriate measures such as focussed student support.

  13. Predictors of dropout in concurrent treatment of posttraumatic stress disorder and alcohol dependence: Rate of improvement matters.

    Science.gov (United States)

    Zandberg, Laurie J; Rosenfield, David; Alpert, Elizabeth; McLean, Carmen P; Foa, Edna B

    2016-05-01

    The present study examined predictors and moderators of dropout among 165 adults meeting DSM-IV criteria for posttraumatic stress disorder (PTSD) and alcohol dependence (AD). Participants were randomized to 24 weeks of naltrexone (NAL), NAL and prolonged exposure (PE), pill placebo, or pill placebo and PE. All participants received supportive AD counseling (the BRENDA manualized model). Logistic regression using the Fournier approach was conducted to investigate baseline predictors of dropout across the entire study sample. Rates of PTSD and AD symptom improvement were included to evaluate the impact of symptom change on dropout. Trauma type and rates of PTSD and AD improvement significantly predicted dropout, accounting for 76% of the variance in dropout. Accidents and "other" trauma were associated with the highest dropout, and physical assault was associated with the lowest dropout. For participants with low baseline PTSD severity, faster PTSD improvement predicted higher dropout. For those with high baseline severity, both very fast and very slow rates of PTSD improvement were associated with higher dropout. Faster rates of drinking improvement predicted higher dropout among participants who received PE. The current study highlights the influence of symptom trajectory on dropout risk. Clinicians may improve retention in PTSD-AD treatments by monitoring symptom change at regular intervals, and eliciting patient feedback on these changes. Copyright © 2016 Elsevier Ltd. All rights reserved.

  14. Predictors of dropout in concurrent treatment of posttraumatic stress disorder and alcohol dependence: Rate of improvement matters

    Science.gov (United States)

    Zandberg, Laurie J.; Rosenfield, David; Alpert, Elizabeth; McLean, Carmen P.; Foa, Edna B.

    2016-01-01

    Objective The present study examined predictors and moderators of dropout among 165 adults meeting DSM-IV criteria for posttraumatic stress disorder (PTSD) and alcohol dependence (AD). Participants were randomized to 24 weeks of naltrexone (NAL), NAL and prolonged exposure (PE), pill placebo, or pill placebo and PE. All participants received supportive AD counseling (the BRENDA manualized model). Method Logistic regression using the Fournier approach was conducted to investigate baseline predictors of dropout across the entire study sample. Rates of PTSD and AD symptom improvement were included to evaluate the impact of symptom change on dropout. Results Trauma type and rates of PTSD and AD improvement significantly predicted dropout, accounting for 76% of the variance in dropout. Accidents and “other” trauma were associated with the highest dropout, and physical assault was associated with the lowest dropout. For participants with low baseline PTSD severity, faster PTSD improvement predicted higher dropout. For those with high baseline severity, both very fast and very slow rates of PTSD improvement were associated with higher dropout. Faster rates of drinking improvement predicted higher dropout among participants who received PE. Conclusions The current study highlights the influence of symptom trajectory on dropout risk. Clinicians may improve retention in PTSD-AD treatments by monitoring symptom change at regular intervals, and eliciting patient feedback on these changes. PMID:26972745

  15. Higher dropout rate in non-native patients than in native patients in rehabilitation in The Netherlands

    NARCIS (Netherlands)

    Sloots, Maurits; Scheppers, Emmanuel F.; van de Weg, Frans B.; Bartels, Edien A.; Geertzen, Jan H.; Dekker, Joost; Dekker, Jaap

    Dropout from a rehabilitation programme often occurs in patients with chronic nonspecific low back pain of non-native origin. However, the exact dropout rate is not known. The objective of this study was to determine the difference in dropout rate between native and non-native patients with chronic

  16. A Systematic Review and Meta-Analysis Estimating the Expected Dropout Rates in Randomized Controlled Trials on Yoga Interventions.

    Science.gov (United States)

    Cramer, Holger; Haller, Heidemarie; Dobos, Gustav; Lauche, Romy

    2016-01-01

    A reasonable estimation of expected dropout rates is vital for adequate sample size calculations in randomized controlled trials (RCTs). Underestimating expected dropouts rates increases the risk of false negative results while overestimating rates results in overly large sample sizes, raising both ethical and economic issues. To estimate expected dropout rates in RCTs on yoga interventions, MEDLINE/PubMed, Scopus, IndMED, and the Cochrane Library were searched through February 2014; a total of 168 RCTs were meta-analyzed. Overall dropout rate was 11.42% (95% confidence interval [CI] = 10.11%, 12.73%) in the yoga groups; rates were comparable in usual care and psychological control groups and were slightly higher in exercise control groups (rate = 14.53%; 95% CI = 11.56%, 17.50%; odds ratio = 0.82; 95% CI = 0.68, 0.98; p = 0.03). For RCTs with durations above 12 weeks, dropout rates in yoga groups increased to 15.23% (95% CI = 11.79%, 18.68%). The upper border of 95% CIs for dropout rates commonly was below 20% regardless of study origin, health condition, gender, age groups, and intervention characteristics; however, it exceeded 40% for studies on HIV patients or heterogeneous age groups. In conclusion, dropout rates can be expected to be less than 15 to 20% for most RCTs on yoga interventions. Yet dropout rates beyond 40% are possible depending on the participants' sociodemographic and health condition.

  17. A Systematic Review and Meta-Analysis Estimating the Expected Dropout Rates in Randomized Controlled Trials on Yoga Interventions

    Directory of Open Access Journals (Sweden)

    Holger Cramer

    2016-01-01

    Full Text Available A reasonable estimation of expected dropout rates is vital for adequate sample size calculations in randomized controlled trials (RCTs. Underestimating expected dropouts rates increases the risk of false negative results while overestimating rates results in overly large sample sizes, raising both ethical and economic issues. To estimate expected dropout rates in RCTs on yoga interventions, MEDLINE/PubMed, Scopus, IndMED, and the Cochrane Library were searched through February 2014; a total of 168 RCTs were meta-analyzed. Overall dropout rate was 11.42% (95% confidence interval [CI] = 10.11%, 12.73% in the yoga groups; rates were comparable in usual care and psychological control groups and were slightly higher in exercise control groups (rate = 14.53%; 95% CI = 11.56%, 17.50%; odds ratio = 0.82; 95% CI = 0.68, 0.98; p=0.03. For RCTs with durations above 12 weeks, dropout rates in yoga groups increased to 15.23% (95% CI = 11.79%, 18.68%. The upper border of 95% CIs for dropout rates commonly was below 20% regardless of study origin, health condition, gender, age groups, and intervention characteristics; however, it exceeded 40% for studies on HIV patients or heterogeneous age groups. In conclusion, dropout rates can be expected to be less than 15 to 20% for most RCTs on yoga interventions. Yet dropout rates beyond 40% are possible depending on the participants’ sociodemographic and health condition.

  18. Academic Fatalism: Applying Durkheim's Fatalistic Suicide Typology to Student Drop-Out and the Climate of Higher Education

    Science.gov (United States)

    Godor, Brian P.

    2017-01-01

    Student drop-out remains a critical issue facing educational professionals. For higher education, the vast research in the past 40 years has been influenced by the work of Tinto and his model of student persistence. In this model are several elements that have proven to sharpen the focus of student drop-out research such as the concept of…

  19. Of Needles and Haystacks: Building an Accurate Statewide Dropout Early Warning System in Wisconsin

    Science.gov (United States)

    Knowles, Jared E.

    2015-01-01

    The state of Wisconsin has one of the highest four year graduation rates in the nation, but deep disparities among student subgroups remain. To address this the state has created the Wisconsin Dropout Early Warning System (DEWS), a predictive model of student dropout risk for students in grades six through nine. The Wisconsin DEWS is in use…

  20. Immunization Dropout Rates in Ihe, Awgu Local Government Area ...

    African Journals Online (AJOL)

    vaccine. Subjects and Methods: This is a cross sectional study where immunization dropout rate of ... especially with the addition of other vaccines such as yellow fever in endemic areas and tetanus toxoid (injections for the pregnant women.

  1. Dropout in vocational education

    DEFF Research Database (Denmark)

    Jørgensen, Christian Helms

    For the last ten years drop out of vocational education has increased strongly in Denmark. Only half of the students, who take up a vocational programme on upper secondary level, complete it. Like in other European countries the low completion rates has caused considerable alarm on the political...... level (Lamb and Markussen 2011). Continuing high dropout rates will make it very hard for the government to reach its target for educational completion, and the government has launched a series of measures to increase retention including the obligation for all colleges to make plans for retention...... and monitor the progress in achieving the goals. The questions addressed in this paper are why and how dropout in VET takes place. The objective is to provide more detailed and qualified knowledge of the complex processes of dropping out....

  2. Institutional Characteristics and College Student Dropout Risks: A Multilevel Event History Analysis

    Science.gov (United States)

    Chen, Rong

    2012-01-01

    In the past two decades, although access to higher education for American students has improved, student persistence in 4-year institutions is far from assured. There have been a number of research studies on student persistence/dropout in higher education, but most have focused on the characteristics and behavior of students as illustrated by the…

  3. Drop-out rate and drop-out reasons among promising Norwegian track and field athletes: a 25 year study

    OpenAIRE

    Enoksen, Eystein

    2011-01-01

    © Eystein Enoksen, 2011 The aim of the present study was to identify the total drop-out rate and drop-out reasons for a group of promising track and field athletes. 202 males and 98 females, aged 16 ±2 years, took part in this study. Questionnaires were administrated in 1975, 1983, and 1989. In-depth interviews were conducted in 1989 and in 2000. A chi-square test was administrated to test the difference between males and females dropping out and to test the most significant reasons influe...

  4. Systematic review and meta-analysis of dropout rates in individual psychotherapy for generalized anxiety disorder.

    Science.gov (United States)

    Gersh, Elon; Hallford, David J; Rice, Simon M; Kazantzis, Nikolaos; Gersh, Hannah; Gersh, Benji; McCarty, Carolyn A

    2017-12-01

    Despite being a relatively prevalent and debilitating disorder, Generalized Anxiety Disorder (GAD) is the second least studied anxiety disorder and among the most difficult to treat. Dropout from psychotherapy is concerning as it is associated with poorer outcomes, leads to service inefficiencies and can disproportionately affect disadvantaged populations. No study to date has calculated a weighted mean dropout rate for GAD and explored associated correlates. A systematic review was conducted using PsycINFO, Medline and Embase databases, identifying studies investigating individual psychotherapies for adults with GAD. Forty-five studies, involving 2224 participants, were identified for meta-analysis. The weighted mean dropout rate was 16.99% (95% confidence interval 14.42%-19.91%). The Q-statistic indicated significant heterogeneity among studies. Moderator analysis and meta-regressions indicated no statistically significant effect of client age, sex, symptom severity, comorbidity, treatment type, study type (randomized trial or not), study quality, number of sessions or therapist experience. In research investigating psychotherapy for GAD, approximately one in six clients can be expected to drop out of treatment. Dropout rate was not significantly moderated by the client, therapist or treatment variables investigated. Future research should specify the definition of dropout, reasons for dropout and associated correlates to assist the field's progression. Copyright © 2017 Elsevier Ltd. All rights reserved.

  5. DATA MINING IN HIGHER EDUCATION : UNIVERSITY STUDENT DROPOUT CASE STUDY

    OpenAIRE

    Ghadeer S. Abu-Oda; Alaa M. El-Halees

    2015-01-01

    In this paper, we apply different data mining approaches for the purpose of examining and predicting students’ dropouts through their university programs. For the subject of the study we select a total of 1290 records of computer science students Graduated from ALAQSA University between 2005 and 2011. The collected data included student study history and transcript for courses taught in the first two years of computer science major in addition to student GPA , high school average ...

  6. Re-Engaging School Dropouts with Emotional and Behavioral Disorders

    Science.gov (United States)

    Wilkins, Julia; Bost, Loujeania Williams

    2015-01-01

    Students with emotional and behavioral disorders have the highest dropout rates of any student group--about 40%. The outcomes for students who drop out of school are dire but are particularly bleak for students with poor academic, interpersonal, and decision-making skills. Helping students earn a high school diploma and gain the skills needed to…

  7. Perceived Academic Control and Academic Emotions Predict Undergraduate University Student Success: Examining Effects on Dropout Intention and Achievement.

    Science.gov (United States)

    Respondek, Lisa; Seufert, Tina; Stupnisky, Robert; Nett, Ulrike E

    2017-01-01

    The present study addressed concerns over the high risk of university students' academic failure. It examined how perceived academic control and academic emotions predict undergraduate students' academic success, conceptualized as both low dropout intention and high achievement (indicated by GPA). A cross-sectional survey was administered to 883 undergraduate students across all disciplines of a German STEM orientated university. The study additionally compared freshman students ( N = 597) vs. second-year students ( N = 286). Using structural equation modeling, for the overall sample of undergraduate students we found that perceived academic control positively predicted enjoyment and achievement, as well as negatively predicted boredom and anxiety. The prediction of dropout intention by perceived academic control was fully mediated via anxiety. When taking perceived academic control into account, we found no specific impact of enjoyment or boredom on the intention to dropout and no specific impact of all three academic emotions on achievement. The multi-group analysis showed, however, that perceived academic control, enjoyment, and boredom among second-year students had a direct relationship with dropout intention. A major contribution of the present study was demonstrating the important roles of perceived academic control and anxiety in undergraduate students' academic success. Concerning corresponding institutional support and future research, the results suggested distinguishing incoming from advanced undergraduate students.

  8. Teachers' Opinions of Student Dropout from Formal Music Education Centres of the Canary Islands

    Science.gov (United States)

    Lorenzo Socorro, Sonia; Escandell Bermúdez, María Olga; Castro Sánchez, José Juan

    2016-01-01

    One hundred and eighty-five teachers were surveyed to determine their opinion of student dropout from formal music centres in the Canary Islands. The goal of the study was to investigate the causes of dropout and strategies to prevent it. Teachers' opinions were collected by means of a questionnaire. The influence of the environment on the…

  9. Grades and Graduation: A Longitudinal Risk Perspective to Identify Student Dropouts

    Science.gov (United States)

    Bowers, Alex J.

    2010-01-01

    Studies of student risk of school dropout have shown that present predictors of at-risk status do not accurately identify a large percentage of students who eventually drop out. Through the analysis of the entire Grade 1-12 longitudinal cohort-based grading histories of the class of 2006 for two school districts in the United States, the author…

  10. Information Management Processes for Extraction of Student Dropout Indicators in Courses in Distance Mode

    Directory of Open Access Journals (Sweden)

    Renata Maria Abrantes Baracho

    2016-04-01

    Full Text Available This research addresses the use of information management processes in order to extract student dropout indicators in distance mode courses. Distance education in Brazil aims to facilitate access to information. The MEC (Ministry of Education announced, in the second semester of 2013, that the main obstacles faced by institutions offering courses in this mode were students dropping out and the resistance of both educators and students to this mode. The research used a mixed methodology, qualitative and quantitative, to obtain student dropout indicators. The factors found and validated in this research were: the lack of interest from students, insufficient training in the use of the virtual learning environment for students, structural problems in the schools that were chosen to offer the course, students without e-mail, incoherent answers to activities to the course, lack of knowledge on the part of the student when using the computer tool. The scenario considered was a course offered in distance mode called Aluno Integrado (Integrated Student

  11. Dropout rates and factors associated with dropout from treatment among elderly patients attending the outpatient services of a tertiary care hospital.

    Science.gov (United States)

    Grover, Sandeep; Dua, Devakshi; Chakrabarti, Subho; Avasthi, Ajit

    2018-01-01

    This study aimed to evaluate the "dropout" rates from treatment and associated factors among elderly patients attending a tertiary care psychiatry outpatient facility. Data of 1422 patients aged ≥60 years, attending the walk-in clinic were evaluated. Out of 1422 patients, 406 (28.55%) belonged to the "dropout" group. In the "dropout" group, the age of patients was significantly higher than the followed-up group, and a higher proportion of patients were >70 years old. Significantly lower proportion of patients with diagnosis of depressive disorders belonged to the "dropout" group and significantly higher proportion of patients with "other" diagnoses belonged to the dropped out group. In patients with depressive disorders, a higher proportion of the patients in the "dropout" group were Hindu by religion (68.7% vs. 58.7%; χ 2 = 4.26; P = 0.03). In patients with bipolar disorder, patients in the "dropout" group had significantly higher income (Rs. 13,323 [standard deviation [SD] = 16,769] vs. 5681 [SD = 9422]; t -test value: 2-25; P = 0.028) and lesser proportion of patients were of the male gender (63.15 vs. 86.95%; Mann-Whitney U value = 257.5; P = 0.039). In the group of other diagnoses, a higher proportion of patients in the "dropout" group were currently single (32.3% vs. 18.7%; χ 2 = 4.12; P = 0.042), from rural locality (63.1% vs. 46.72%; χ 2 = 4.33; P = 0.037) and were not prescribed medications (40% vs. 22.4%; χ 2 = 6.05; P = 0.04). Dropout from treatment among elderly patients is associated with higher age, not being prescribed medications, and diagnosis other than the affective disorders, psychotic disorders, and the cognitive disorders.

  12. Continuous Dropout.

    Science.gov (United States)

    Shen, Xu; Tian, Xinmei; Liu, Tongliang; Xu, Fang; Tao, Dacheng

    2017-10-03

    Dropout has been proven to be an effective algorithm for training robust deep networks because of its ability to prevent overfitting by avoiding the co-adaptation of feature detectors. Current explanations of dropout include bagging, naive Bayes, regularization, and sex in evolution. According to the activation patterns of neurons in the human brain, when faced with different situations, the firing rates of neurons are random and continuous, not binary as current dropout does. Inspired by this phenomenon, we extend the traditional binary dropout to continuous dropout. On the one hand, continuous dropout is considerably closer to the activation characteristics of neurons in the human brain than traditional binary dropout. On the other hand, we demonstrate that continuous dropout has the property of avoiding the co-adaptation of feature detectors, which suggests that we can extract more independent feature detectors for model averaging in the test stage. We introduce the proposed continuous dropout to a feedforward neural network and comprehensively compare it with binary dropout, adaptive dropout, and DropConnect on Modified National Institute of Standards and Technology, Canadian Institute for Advanced Research-10, Street View House Numbers, NORB, and ImageNet large scale visual recognition competition-12. Thorough experiments demonstrate that our method performs better in preventing the co-adaptation of feature detectors and improves test performance.

  13. Immunization Dropout Rates in Ihe, Awgu Local Government Area ...

    African Journals Online (AJOL)

    Background: Immunization against childhood diseases is one of the most important ways of preventing childhood morbidity and mortality. Aims: The objective of this study is to review the dropout rates of immunization of children in a health center using a single dose of diphtheria‑pertussis‑tetanus (DPT1) and three doses of ...

  14. A Bayesian encourages dropout

    OpenAIRE

    Maeda, Shin-ichi

    2014-01-01

    Dropout is one of the key techniques to prevent the learning from overfitting. It is explained that dropout works as a kind of modified L2 regularization. Here, we shed light on the dropout from Bayesian standpoint. Bayesian interpretation enables us to optimize the dropout rate, which is beneficial for learning of weight parameters and prediction after learning. The experiment result also encourages the optimization of the dropout.

  15. The Impact of Teacher-Student Relationships and Achievement Motivation on Students' Intentions to Dropout According to Socio-Economic Status

    Science.gov (United States)

    Bergeron, Julie; Chouinard, Roch; Janosz, Michel

    2011-01-01

    The main goal was to test if teacher-student relationships and achievement motivation are predicting dropout intention equally for low and high socio-economic status students. A questionnaire measuring teacher-student relationships and achievement motivation was administered to 2,360 French Canadian secondary students between 12 and 15 years old…

  16. Emotional Competence and Drop-Out Rates in Higher Education

    Science.gov (United States)

    Kingston, Emma

    2008-01-01

    Purpose: The purpose of this paper is to compare the emotional competence of first year undergraduates enrolled on a high or low drop-out rate (HDR and LDR, respectively) course, at a newly established university within the UK. Design/methodology/approach: A mixed methods approach using both quantitative and qualitative data collection methods was…

  17. Family Influences on Dropout Behavior in One California High School.

    Science.gov (United States)

    Rumberger, Russell W.; And Others

    1990-01-01

    Investigated how family processes influence high school student dropout behavior. Used a sample of 114 dropouts from 1 California high school, 48 of whom were matched to similarly profiled continuing students. Identified factors that explain students' dropout decisions: permissive parenting, negative parental reactions to grades, excessive…

  18. Learning Analytics focused on student behavior. Case study: dropout in distance learning institutions

    Directory of Open Access Journals (Sweden)

    Jose Aguilar

    2017-04-01

    Full Text Available Normally, Learning Analytics (LA can be focused on the analysis of the learning process or the student behavior. In this paper is analyzed the use of LA in the context of distance learning universities, particularly focuses on the students’ behavior. We propose to use a new concept, called "Autonomic Cycle of Learning Analysis Tasks", which defines a set of tasks of LA, whose common objective is to achieve an improvement in the process under study. In this paper, we develop the "Autonomic Cycle of LA Tasks" to analyze the dropout in distance learning institutions. We use a business intelligence methodology in order to develop the "Autonomic Cycle of LA Tasks" for the analysis of the dropout in distance learning. The Autonomic Cycle identifies factors that influence the decision of a student to abandon their studies, predicts the potentially susceptible students to abandon their university studies, and define a motivational pattern for these students.

  19. Program specific admission testing and dropout for sports science students: a prospective cohort study.

    Directory of Open Access Journals (Sweden)

    Lotte Dyhrberg O'Neill

    2014-09-01

    Full Text Available Recent research in medical education suggests that program specific admission testing could have a protective effect against early dropout. Little is known about the effect of program specific admission testing on dropout in other areas of higher education. The aim of this paper was to examine if admission strategy was also independently associated with dropout for sports science students in a university setting. The study design was a prospective cohort study with a 2 year follow-up. The population was 449 sports science students admitted to a university in the years 2002-2007. The analysis used was multivariate logistic regression and the predictors examined were: admission group (grade-based or admission tested as well as educational and socio-demographic variables. The outcome was dropout within 2 years of study start. Admission testing offered superior protection against dropout compared to grade-based admission. This result may fit with elements of previous dropout theory, student-environment fit theory and perhaps also with self-efficacy theory. Nyere forskning inden for medicinsk uddannelse indikerer at uddannelsesspecifikke optagelsesprøver kan have en beskyttende effekt i forhold til tidligt studiefrafald, men for andre universitetsuddannelser end Medicin synes denne sammenhæng endnu ikke at være blevet grundigt belyst. Formålet med dette studie var derfor at undersøge, om optagelsesprøver også beskyttede mod tidligt frafald blandt idrætsstuderende på universitetet. Studiedesignet var et prospektivt kohortestudie med to års opfølgning. Populationen var 449 idrætsstuderende, som blev optaget på Syddansk Universitet i årene 2002-2007. Data blev analyseret med multivariat logistisk regression, og følgende typer af prædiktorer for frafald blev undersøgt: Optagelseskvote (kvote 1 eller kvote 2 udprøvede, andre uddannelsesrelaterede variable samt udvalgte socio-demografiske variable. Effektmålet var studiestatus (frafaldet

  20. Program specific admission testing and dropout for sports science students: a prospective cohort study.

    Directory of Open Access Journals (Sweden)

    Lotte Dyhrberg O'Neill

    2014-09-01

    Full Text Available Recent research in medical education suggests that program specific admission testing could have a protective effect against early dropout. Little is known about the effect of program specific admission testing on dropout in other areas of higher education. The aim of this paper was to examine if admission strategy was also independently associated with dropout for sports science students in a university setting. The study design was a prospective cohort study with a 2 year follow-up. The population was 449 sports science students admitted to a university in the years 2002-2007. The analysis used was multivariate logistic regression and the predictors examined were: admission group (grade-based or admission tested as well as educational and socio-demographic variables. The outcome was dropout within 2 years of study start. Admission testing offered superior protection against dropout compared to grade-based admission. This result may fit with elements of previous dropout theory, student-environment fit theory and perhaps also with self-efficacy theory. Nyere forskning inden for medicinsk uddannelse indikerer at uddannelsesspecifikke optagelsesprøver kan have en beskyttende effekt i forhold til tidligt studiefrafald, men for andre universitetsuddannelser end Medicin synes denne sammenhæng endnu ikke at være blevet grundigt belyst. Formålet med dette studie var derfor at undersøge, om optagelsesprøver også beskyttede mod tidligt frafald blandt idrætsstuderende på universitetet. Studiedesignet var et prospektivt kohortestudie med to års opfølgning. Populationen var 449 idrætsstuderende, som blev optaget på Syddansk Universitet i årene 2002-2007. Data blev analyseret med multivariat logistisk regression, og følgende typer af prædiktorer for frafald blev undersøgt: Optagelseskvote (kvote 1 eller kvote 2 udprøvede, andre uddannelsesrelaterede variable samt udvalgte socio-demografiske variable. Effektmålet var studiestatus (frafaldet

  1. Immunization dropout rate and data quality among children 12-23 months of age in Ghana.

    Science.gov (United States)

    Baguune, Benjamin; Ndago, Joyce Aputere; Adokiya, Martin Nyaaba

    2017-01-01

    Immunization against diseases is one of the most important public health interventions with cost effective means to preventing childhood morbidity, mortality and disability. However, a proportion of children particularly in Africa are not fully immunized with the recommended vaccines. Thus, many children are still susceptible to the Expanded Program on Immunization (EPI) targeted diseases. The objective of this study was to determine the immunization dropout rate and data quality among children aged 12-23 months in Techiman Municipality, Ghana. A cross-sectional cluster survey was conducted among 600 children. Data was collected using semi-structured questionnaire through face-to-face interviews. Before the main data collection, the tools were pre-tested in three different communities in the Municipality. The mothers/caregivers were interviewed, extracted information from the child immunization cards and observation employed to confirm the presence of Bacillus Calmette-Guerin (BCG) scar on each child. Routine immunization data was also extracted from immunization registers and annual reports in the Municipality. I mmunization coverage for each of the fifteen vaccines doses is above 90.0% while full childhood immunized status is 89.5%. Immunization dropout rate was 5.6% (using BCG and Measles as proxy vaccines). This is lower than the 10.0% cutoff point by World Health Organization. However, routine administrative data was characterized by some discrepancies (e.g. > 100.0% immunization coverage for each of the vaccines) and high dropout rate (BCG - Measles = 31.5%). Binary regression was performed to determine predictors of dropout rate. The following were statistically significant: married (OR = 0.31; 95% = CI 0.15-0.62; and p  = 0.001), Christianity (OR = 0.27; 95% CI = 0.13-0.91; and p  dropout. Childhood full immunized status (89.5%) and immunization coverages (>90%) are high while dropout rate is lower than the recommended cutoff point by WHO

  2. Dropout Prevention: A Study of Prevention Programs Used by High Schools to Increase Graduation Rate

    Science.gov (United States)

    Simmons, Christopher L.

    2013-01-01

    This mixed methods study focused on the relationship between dropout prevention programs and graduation rates in one school district in Florida during the 2010-2011 school year. The dropout prevention program data analyzed included high school principals' perceptions in regard to perceived effectiveness, fidelity of implementation, cost efficacy,…

  3. Teacher–student relationship, student mental health, and dropout from upper secondary school: A literature review

    OpenAIRE

    Krane, Vibeke; Karlsson, Bengt; Ness, Ottar; Kim, Hesook Suzie

    2016-01-01

    The purpose of this study was to assess the status of knowledge regarding the association between teacher–student relationship (TSR), dropout from upper secondary school, and student mental health. A literature search was conducted in Eric, PsycInfo, Medline, Scopus, Norart, and Idunn covering the period spanning 2000 to 2015. Sixteen articles were identified for review. These articles were analyzed via thematic analysis. The results indicate that the TSR in upper secondary school is associat...

  4. DECREASING SCHOOL DROPOUT RATE AS A FACTOR OF ECONOMIC GROWTH AND SOCIAL EMPOWERMENT. THEORETICAL INSIGHTS

    Directory of Open Access Journals (Sweden)

    Alina Badulescu

    2016-07-01

    Full Text Available Economic development and social empowerment in Romania are unconcievable in the absence of a modern education system, which needs both economic and financial investments and social, political, cultural measures to increase the inclusion of young people in school system. In this particular context, given that Romania faces a high degree rate of school dropout, and moreover there are few chances that Romania reach its goals, we try in this paper to look inside the real situation. Indeed, school dropout present serious negative consequences both on individual level and for the whole society. Recognising this fact, next step is to investigate and reveal the determining factors for this situation, and we are particularly interested in the economic and systemic factors. Consequently, we present in this paper first a brief literature review on the fenomenon of school dropping out, including reviewing main studies related to factors, effects, causes etc. In the second part, starting from several statistical data provided by INS, EUROSTAT and UNICEF studies, we propose some theoretical models and policy reccomendations in order to decrease the school dropout rate and especially the early school dropout rate.

  5. Salient Predictors of School Dropout among Secondary Students with Learning Disabilities

    Science.gov (United States)

    Doren, Bonnie; Murray, Christopher; Gau, Jeff M.

    2014-01-01

    The purpose of this study was to identify the unique contributions of a comprehensive set of predictors and the most salient predictors of school dropout among a nationally representative sample of students with learning disabilities (LD). A comprehensive set of theoretically and empirically relevant factors was selected for examination. Analyses…

  6. Rethinking Dropout in Online Higher Education: The Case of the Universitat Oberta de Catalunya

    Directory of Open Access Journals (Sweden)

    Josep Grau-Valldosera

    2014-02-01

    Full Text Available In recent years, several studies have been carried out into the reasons why students drop out of online higher education, following the rise in the relative weight of this form of education. However, more effort has gone into analyzing the causes of this phenomenon than into trying to characterize students who drop out, that is defining what a dropout student is. But obtaining a proper definition of dropout is just as important as describing its causes. It also appears that the definition of dropout is very sensitive to context. As one of the main findings of this article, we reach a pure empirical definition, at a programme level, of students who drop out of an online higher education context with non-mandatory enrollment. This definition is based on the probability of students not continuing a specific academic programme following several consecutive semesters of “theoretical break”, and is highly adaptable to institutions offering distance education with no permanence requirements, that is ones offering the possibility of taking breaks. Our findings show that there are differences regarding the number of consecutive semesters that define dropout depending on whether the programme requires previous experience or not. Additionally, we observe significant differences in the dropout rate between specific programmes, as well as a higher level of dropout in the first semesters. Analyzing the reasons behind these facts should help higher education institutions to make more sound and efficient decisions.

  7. Student Dropout in Upper Secondary Education in Norway: A Challenge to the Principles of the Welfare State?

    Science.gov (United States)

    Halvorsrud, Kristoffer

    2017-01-01

    This article presents a review of extant research on student dropout in Norway, originally undertaken as part of a systematic review. The article contextualizes the foundational principle of equality as championed by the welfare state and identifies the significance of dropout in upper secondary education in Norway. The article then assesses…

  8. A Literature Map of Dropout Prevention Interventions for Students with Disabilities

    Science.gov (United States)

    Wilkins, Julia; Huckabee, Sloan

    2014-01-01

    This paper presents a review of the literature on dropout prevention interventions for students with disabilities. A variety of search methods, including electronic library searches, hand searches of journals, and Internet searches were used to acquire the widest possible set of research studies. To be included in this review, the studies must…

  9. Program specific admission testing and dropout for sports science students: a prospective cohort study

    DEFF Research Database (Denmark)

    O'Neill, Lotte; Christensen, Mette Krogh; Vonsild, Maria Cecilie

    2014-01-01

    if admission strategy was also independently associated with dropout for sports science students in a university setting. The study design was a prospective cohort study with a 2 year follow-up. The population was 449 sports science students admitted to a university in the years 2002-2007. The analysis...

  10. Higher Education Drop-out in Spain--Particular Case of Universities in Galicia

    Science.gov (United States)

    Arce, Maria Elena; Crespo, Barbara; Míguez-Álvarez, Carla

    2015-01-01

    The existence of a high university dropout rate in Spain is undeniable. Data shows that approximately one out of five students drop out from college. During the economic expansion period (2001-2007) more students abandoned their studies than during the crisis period (2007-2011). This situation also affects unemployment rates due to the fact that…

  11. Leaving School and Its Outcomes on Health-related Fitness Among Drop-out Algerian High School Students

    Directory of Open Access Journals (Sweden)

    Mohammed Zerf

    2018-04-01

    Full Text Available Purpose. Schools are ideal venues for the implementation of healthy behaviors allied to the levels of physical activities as the physical and mental health correlate to psychosocial well-being of scholars. Whereas, this advantage is not reliable with dropout students. Support through psychological studies via time structure unconnected to self-efficacy relative to self-physical activity motivation among this social class, especially with the economic crisis as challenges imposed for Algerian society, concerning the high unemployment rates in line with high school dropouts. Method. This controlled study tested 104 high-school Male adolescent students aged around 17 years for academic years 2015–2016 and those under 18 years for academic years 2016–2017. Built on the ALPHA-Fitness test battery accompanied by questionnaire relevant to their physical and social time for both years. Results. Based on the design, the tests practised and the statistical processes applied within the search limitation, the results support, on one hand, the benefits of school venue as an ideal implementation of health and levels of physical activities and well-being among our scholars, and on the other, we confirmed the leaving school as a negative time trend via dropout students, poorly correlate with times physically and socially inactive. This study inspected that inactive lifestyle relate to body image disorders and disturbances concomitant to energy-expending relative to missing recreational time and sporting endeavours. Conclusions. Leaving school in the Algerian communities is a stress-related biological pathway that links physical disorders and depression virtual to social time structure proceeded to manage the relevant tasks, goals and objectives. Indicated in similar as best when individuals are clear about what it is they are expected to achieve.

  12. Explaining the Rise in Danish Vocational Education System Dropouts: The Effect of a Youth Unemployment Program

    DEFF Research Database (Denmark)

    Munk, Martin D.; Park, Do-Yeun

    This project focuses on the impact of Denmark’s Youth Unemployment Program(YUP) enacted in late 1990s on the rise in VET dropout rates. The Youth Unemployment Program targeted unemployed, low-educated youth to strengthen the employment possibilities and to motivate for them to undertake an educat......This project focuses on the impact of Denmark’s Youth Unemployment Program(YUP) enacted in late 1990s on the rise in VET dropout rates. The Youth Unemployment Program targeted unemployed, low-educated youth to strengthen the employment possibilities and to motivate for them to undertake...... an education. If the Youth Unemployment Program incentivized less capable/ambitious students to enter vocational education, it would increase the dropout rates via selection. This project investigates whether the program had an effect on the population characteristics of incoming VET students and the resulting...

  13. Determinants of High-School Dropout: A Longitudinal Study in a Deprived Area of Japan.

    Science.gov (United States)

    Tabuchi, Takahiro; Fujihara, Sho; Shinozaki, Tomohiro; Fukuhara, Hiroyuki

    2018-05-19

    Our objective in this study was to find determinants of high-school dropout in a deprived area of Japan using longitudinal data, including socio-demographic and junior high school-period information. We followed 695 students who graduated the junior high school located in a deprived area of Japan between 2002 and 2010 for 3 years after graduation (614 students: follow-up rate, 88.3%). Multivariable log-binomial regression models were used to calculate the prevalence ratios (PRs) for high-school dropout, using multiple imputation (MI) to account for non-response at follow-up. The MI model estimated that 18.7% of students dropped out of high school in approximately 3 years. In the covariates-adjusted model, three factors were significantly associated with high-school dropout: ≥10 days of tardy arrival in junior high school (PR 6.44; 95% confidence interval [CI], 1.69-24.6 for "10-29 days of tardy arrival" and PR 8.01; 95% CI, 2.05-31.3 for "≥30 days of tardy arrival" compared with "0 day of tardy arrival"), daily smoking (PR 2.01; 95% CI, 1.41-2.86) and severe problems, such as abuse and neglect (PR 1.66; 95% CI, 1.16-2.39). Among students with ≥30 days of tardy arrival in addition to daily smoking or experience of severe problems, ≥50% high-school dropout rates were observed. Three determinants of high-school dropout were found: smoking, tardy arrival, and experience of severe problems. These factors were correlated and should be treated as warning signs of complex behavioral and academic problems. Parents, educators, and policy makers should work together to implement effective strategies to prevent school dropout.

  14. The Dropout Learning Algorithm

    Science.gov (United States)

    Baldi, Pierre; Sadowski, Peter

    2014-01-01

    Dropout is a recently introduced algorithm for training neural network by randomly dropping units during training to prevent their co-adaptation. A mathematical analysis of some of the static and dynamic properties of dropout is provided using Bernoulli gating variables, general enough to accommodate dropout on units or connections, and with variable rates. The framework allows a complete analysis of the ensemble averaging properties of dropout in linear networks, which is useful to understand the non-linear case. The ensemble averaging properties of dropout in non-linear logistic networks result from three fundamental equations: (1) the approximation of the expectations of logistic functions by normalized geometric means, for which bounds and estimates are derived; (2) the algebraic equality between normalized geometric means of logistic functions with the logistic of the means, which mathematically characterizes logistic functions; and (3) the linearity of the means with respect to sums, as well as products of independent variables. The results are also extended to other classes of transfer functions, including rectified linear functions. Approximation errors tend to cancel each other and do not accumulate. Dropout can also be connected to stochastic neurons and used to predict firing rates, and to backpropagation by viewing the backward propagation as ensemble averaging in a dropout linear network. Moreover, the convergence properties of dropout can be understood in terms of stochastic gradient descent. Finally, for the regularization properties of dropout, the expectation of the dropout gradient is the gradient of the corresponding approximation ensemble, regularized by an adaptive weight decay term with a propensity for self-consistent variance minimization and sparse representations. PMID:24771879

  15. Early Prediction of Student Dropout and Performance in MOOCSs Using Higher Granularity Temporal Information

    Science.gov (United States)

    Ye, Cheng; Biswas, Gautam

    2014-01-01

    Our project is motivated by the early dropout and low completion rate problem in MOOCs. We have extended traditional features for MOOC analysis with richer and higher granularity information to make more accurate predictions of dropout and performance. The results show that finer-grained temporal information increases the predictive power in the…

  16. [How medical students perform academically by admission types?].

    Science.gov (United States)

    Kim, Se-Hoon; Lee, Keumho; Hur, Yera; Kim, Ji-Ha

    2013-09-01

    Despite the importance of selecting students whom are capable for medical education and to become a good doctor, not enough studies have been done in the category. This study focused on analysing the medical students' academic performance (grade point average, GPA) differences, flunk and dropout rates by admission types. From 2004 to 2010, we gathered 369 Konyang University College of Medicine's students admission data and analyzed the differences between admission method and academic achievement, differences in failure and dropout rates. Analysis of variance (ANOVA), ordinary least square, and logistic regression were used. The rolling students showed higher academic achievement from year 1 to 3 than regular students (p dropout rate by admission types, regular admission type students showed higher drop out rate than the rolling ones which demonstrates admission types gives significant effect on flunk or dropout rates in medical students (p students tend to show lower flunk rate and dropout rates and perform better academically. This implies selecting students primarily by Korean College Scholastic Ability Test does not guarantee their academic success in medical education. Thus we suggest a more in-depth comprehensive method of selecting students that are appropriate to individual medical school's educational goal.

  17. Raising Their Voices: Engaging Students, Teachers, and Parents to Help End the High School Dropout Epidemic

    Science.gov (United States)

    Bridgeland, John M.; Balfanz, Robert; Moore, Laura A.; Friant, Rebecca S.

    2010-01-01

    High dropout rates continue to be a silent epidemic afflicting the nation's schools. Although some measurable progress is being made in some school districts and states to raise high school graduation rates, and federal, state, and local policies and practices are changing to meet the dropout challenge, the nation's progress is too slow and the…

  18. Trends in High School Dropout and Completion Rates in the United States: 1972-2012. Compendium Report. NCES 2015-015

    Science.gov (United States)

    Stark, Patrick; Noel, Amber M.

    2015-01-01

    This report builds upon a series of National Center for Education Statistics (NCES) reports on high school dropout and completion rates that began in 1988. It presents estimates of rates in 2012, provides data about trends in dropout and completion rates over the last four decades (1972-2012), and examines the characteristics of high school…

  19. The Hegemonic Curriculum and School Dropout: The Newfoundland Case.

    Science.gov (United States)

    Gedge, Joseph L.

    1991-01-01

    Confronted by a disturbing dropout rate and low student achievement, the Newfoundland (Canada) government is attempting to rationalize organizational restructuring and curriculum reform based on a centralized core academic curriculum aimed at college entrance. This article argues for an expanded, hegemonic curriculum that is organic to the…

  20. Weaving Student Engagement into the Core Practices of Schools. A National Dropout Prevention Center/Network Position Paper

    Science.gov (United States)

    Dary, Teri; Pickeral, Terry; Shumer, Rob; Williams, Anderson

    2016-01-01

    This position paper on student engagement is organized in response to major questions on how student engagement aligns with dropout prevention. Through a set of questions and responses, the "Weaving Student Engagement Into the Core Practices of Schools" position paper on student engagement : (1) defines the term "student…

  1. Factors influencing high dropout rates of girl child from education: A ...

    African Journals Online (AJOL)

    Progress in education of the girl child in sub-Saharan Africa in general and South Africa in particular has been impeded by the high rates of school dropout, which occurrence has implications for the attainment of the MDGs, particularly eradication of extreme poverty and hunger, improving the health of children and mothers, ...

  2. Predictors of school dropout among adolescents in Puerto Rico.

    Science.gov (United States)

    Calderón, José M; Robles, Rafaela R; Reyes, Juan C; Matos, Tomás D; Negrón, Juan L; Cruz, Miguel A

    2009-12-01

    This research aims to understand the circumstances associated with school dropout in a cohort of Puerto Rican adolescents. The study collected data from adolescents and their parents. Information related to school dropout among adolescents was obtained from the second year follow-up data from the longitudinal study funded by NIDA "Risky Families Embedded in Risky Environments" (Grant No. R01 DA 15301). Data was collected employing a self-administered and a face-to-face interview protocol. Prediction of school dropout was assessed throughout adolescent characteristics, family background, school experiences and behaviors. During the second follow-up, two years after the baseline assessment, approximately 6.2% of the adolescents reported dropping out from school. Logistic regression analysis indicates that older adolescents (OR = 6.6, 1.37-31.67), whose mother used drugs during pregnancy (OR = 4.9, 1.31-17.91), who reported high rates of absenteeism (OR = 4.8, 1.63-14.13), high school grade retention (OR = 3.7, 1.14-12.05), and attended school where teachers were attacked or wounded by students (O R =7.0, 1.44-34.17) were more likely to dropout of school. : These findings emphasize the need to further understand the effects of different elements of adolescents' environment such as family and school. It has been posited that dropping out of school is a process whose characteristics can be detected long before it occurs. The fact that students who dropout are more likely to report skip classes and grade retention can be relevant elements in prevention and early intervention for teachers and other school personnel.

  3. Should Students Engaged to Their Study? (Academic Burnout and School-Engagement among Students

    Directory of Open Access Journals (Sweden)

    Fitri Arlinkasari

    2017-08-01

    Full Text Available Inability to deal with lectures efficiently leads students vulnerable to academic burnout. Burnout contributes to the high dropout rate among students, and this phenomenon has occurred on several universities in Indonesia. To overcome these problems, students should generate the feelings, attitudes and positive attitude towards the academic demands, or known as school engagement. School involvement is a predictor of students’ dropout rate. This study aims to analyze the dropout problem in many private universities in Jakarta by examining the psychological variables: academic burnout and school engagement. 208 students from some private university in Jakarta participated and fulfilled two questionnaires: academic burnout and school engagement that has been modified to suit the college setting. Correlation of the variables showed r= - 0.399 (p = 0.000. This means that school engagement plays a role in reducing academic burnout among students. These findings contribute a reference for academic counseling to support the decreasing of students’ dropout rate.

  4. University Students’ Tendencies Toward and Reasons Behind Dropout

    Directory of Open Access Journals (Sweden)

    Hüseyin ŞİMŞEK

    2013-04-01

    Full Text Available In this research conducted to investigate university students’ tendencies toward and reasons behind dropout, it was found that university students had a high level of tendency towards dropout (45%. This indicated that one out of two students wanted to drop out of school at least once for a reason. As a result, their tendencies toward dropout was due to personal factors as well as those related to family, friends, and school. The personal factors affecting tendency toward dropout were gender, academic performance, school attendance, out-of-school work, boredom at school, and discipline penalty. According to the results, the factors related to school were faculty type, level of satisfaction with administrative and teaching staff as well as with social activities, level of difficulty in the department, and willingness to choose faculty. Furthermore, in this study, a positive relationship was found between dropout tendency and possession of close friends who dropped out of school.

  5. Longitudinal Examination of Aggression and Study Skills From Middle to High School: Implications for Dropout Prevention.

    Science.gov (United States)

    Orpinas, Pamela; Raczynski, Katherine; Hsieh, Hsien-Lin; Nahapetyan, Lusine; Horne, Arthur M

    2018-03-01

    High school completion provides health and economic benefits. The purpose of this study is to describe dropout rates based on longitudinal trajectories of aggression and study skills using teacher ratings. The sample consisted of 620 randomly selected sixth graders. Every year from Grade 6 to 12, a teacher completed a nationally normed behavioral rating scale. We used latent class mixture modeling to identify the trajectories. Participants followed 3 trajectories of aggression (Low, Medium Desisting, and High Desisting) and 5 trajectories of study skills (Low, Average-Low, Decreasing, Increasing, and High). Over three-quarters of the sample were in stable trajectories of study skills over time. Most students in the High Desisting Aggression group were in the Low Study Skills group, and all students in the High Study Skills group were in the Low Aggression group. The overall dropout rate was 17%, but varied dramatically across combined aggression and study skills groups, ranging from 2% to 50%. The results highlight the importance of early prevention that combines academic enhancement and behavioral management for reducing school dropout. © 2018, American School Health Association.

  6. Familial and individual reasons for student dropout: Schools’ perception

    Directory of Open Access Journals (Sweden)

    Videnović Marina

    2017-01-01

    Full Text Available The main objective of the research was to identify individual and familial factors students cite as the reasons for dropping out of school or being at the risk of doing so. We interviewed a total of twelve students who dropped out of school or are at the risk of dropping out of primary (six students or secondary school (six students and four parents. A semi-structured interview was used. We singled out four categories of students, determined by their perception of the reasons for dropping out of school. Those categories included: underage pregnancy, assuming a parental role, problematic behaviour (thefts, fights and weak motivation for school and learning. It seems justified to look for a typology of dropout cases since each of the selected groups of students requires specific preventive measures in order to secure continuation of their education. Furthermore, research has shown that, when it comes to their children dropping out of school, parents tend to blame the child’s character traits they deem unchangeable. The failure of school staff to help the child further encourages this belief in parents.

  7. On the Front Lines of Schools: Perspectives of Teachers and Principals on the High School Dropout Problem

    Science.gov (United States)

    Bridgeland, John M.; Dilulio, John J., Jr.; Balfanz, Robert

    2009-01-01

    Teachers and administrators in public high schools recognize there is a dropout problem, know they are confronted with daunting challenges in classrooms and in schools, and express strong support for reforms to address high dropout rates. Yet, less than one-third of teachers believe that schools should expect all students to meet high academic…

  8. The Impact of the State-Wide and District Dropout Prevention Plans on the Dropout Rates, Graduation Rates, GED Completions, and Truancy Rates of High School Teens in Mississippi

    Science.gov (United States)

    Spencer, Amanda Jean Martin

    2011-01-01

    In 2006, as part of the compliance with the No Child Left Behind Act of 2001, Mississippi implemented a state-wide dropout prevention plan. The Mississippi Department of Education through the Office of Dropout Prevention supplied a skeletal format to serve as a guideline for all 152 individual school districts within the state. The school…

  9. The Effects Multiple Intervention and Prevention Programs Have on the Graduation and Dropout Rates of Two Major Urban School Districts in Texas

    Science.gov (United States)

    Briones, Ernestina M.; Jones, Don; Challoo, Linda

    2015-01-01

    In the United States, seven thousand students drop out of school every day (Alliance for Excellence Education, 2010); that is more than one million per year (Balfanz & Bridgeland, 2014). Administrators, former educators and private entities have taken an interest in the dropout epidemic and have developed numerous dropout prevention and…

  10. Revisiting the Link Between Depression Symptoms and High School Dropout: Timing of Exposure Matters.

    Science.gov (United States)

    Dupéré, Véronique; Dion, Eric; Nault-Brière, Frédéric; Archambault, Isabelle; Leventhal, Tama; Lesage, Alain

    2018-02-01

    Recent reviews concluded that past depression symptoms are not independently associated with high school dropout, a conclusion that could induce schools with high dropout rates and limited resources to consider depression screening, prevention, and treatment as low-priority. Even if past symptoms are not associated with dropout, however, it is possible that recent symptoms are. The goal of this study was to examine this hypothesis. In 12 disadvantaged high schools in Montreal (Canada), all students at least 14 years of age were first screened between 2012 and 2015 (N screened  = 6,773). Students who dropped out of school afterward (according to school records) were then invited for interviews about their mental health in the past year. Also interviewed were matched controls with similar risk profiles but who remained in school, along with average not at-risk schoolmates (N interviewed  = 545). Interviews were conducted by trained graduate students. Almost one dropout out of four had clinically significant depressive symptoms in the 3 months before leaving school. Adolescents with recent symptoms had an odd of dropping out more than twice as high as their peers without such symptoms (adjusted odds ratio = 2.17; 95% confidence interval = 1.14-4.12). In line with previous findings, adolescents who had recovered from earlier symptoms were not particularly at risk. These findings suggest that to improve disadvantaged youths' educational outcomes, investments in comprehensive mental health services are needed in schools struggling with high dropout rates, the very places where adolescents with unmet mental health needs tend to concentrate. Copyright © 2017 The Society for Adolescent Health and Medicine. Published by Elsevier Inc. All rights reserved.

  11. High School Dropout and Teen Childbearing

    Science.gov (United States)

    Marcotte, Dave E.

    2013-01-01

    Understanding the relationship between high school dropout and teen childbearing is complicated because both are affected by a variety of difficult to control factors. In this paper, I use panel data on aggregate dropout and fertility rates by age for all fifty states to develop insight by instrumenting for dropout using information on state…

  12. Predictors of dropout from community clinic child CBT for anxiety disorders.

    Science.gov (United States)

    Wergeland, Gro Janne H; Fjermestad, Krister W; Marin, Carla E; Haugland, Bente Storm-Mowatt; Silverman, Wendy K; Öst, Lars-Göran; Havik, Odd E; Heiervang, Einar R

    2015-04-01

    The aim was to investigate predictors of treatment dropout among 182 children (aged 8-15 years) participating in an effectiveness trial of manual-based 10-session individual and group cognitive behavior therapy (CBT) for anxiety disorders in community clinics. The dropout rate was 14.4%, with no significant difference between the two treatment conditions. We examined predictors for overall dropout (n=26), early (≤session 4, n=15), and late dropout (≥session 5, n=11). Overall dropout was predicted by low child and parent rated treatment credibility, and high parent self-rated internalizing symptoms. Low child rated treatment credibility predicted both early and late dropout. High parent self-rated internalizing symptoms predicted early dropout, whereas low parent rated treatment credibility predicted late dropout. These results highlight the importance of addressing treatment credibility, and to offer support for parents with internalizing symptoms, to help children and families remain in treatment. Copyright © 2015 Elsevier Ltd. All rights reserved.

  13. Primary Education and Dropout in Nepal

    Science.gov (United States)

    Devkota, Shree Prasad; Bagale, Shiba

    2015-01-01

    This article tries to highlight the dropout rate of primary education of Nepal. The main essence of the article is to explore the situation of dropout of primary education. There are several programs and policies to reduce the dropout, out of the school children and so on but still there are several issues that are left behind. Educational budget…

  14. Alternative education programmes and middle school dropout in Honduras

    Science.gov (United States)

    Marshall, Jeffery H.; Aguilar, Claudia R.; Alas, Mario; Castellanos, Renán Rápalo; Castro, Levi; Enamorado, Ramón; Fonseca, Esther

    2014-05-01

    Honduras has made steady progress in expanding post-primary school coverage in recent years, but many rural communities still do not provide a middle (lower secondary) school. As a result, Honduras has implemented a number of middle school alternative programmes designed to meet the needs of at-risk populations throughout the country. This article analyses dropout in three of the four main alternative lower secondary school programmes in Honduras over a three-year period for a cohort of roughly 5,500 students. The results show that these programmes are indeed reaching a vulnerable population in the country, but dropout rates are generally very high - upwards of 50 per cent in some cases - between Grades 7 and 9. Furthermore, even in the control school comparison samples made up of formal lower secondary schools, about 25 per cent of children leave school between Grades 7 and 9. The authors' analysis includes propensity score matching (PSM) methods that make more focused comparisons between students in alternative programmes and control samples. These results show that dropout rates in alternative programmes are not much different than in control schools, and only significant in one programme comparison, when taking into account family background characteristics like socioeconomic status (SES). Multivariate analysis within alternative programme samples finds that attrition is lower in those learning centres which have adopted key features of formal schools, such as university-educated teachers. The results highlight the tremendous variation in the alternative middle school sector in terms of programme features, school quality and student outcomes, as well as the challenges of expanding this sector to meet the growing demand for lower secondary schooling in Honduras.

  15. Predicting Dropout Student: An Application of Data Mining Methods in an Online Education Program

    Science.gov (United States)

    Yukselturk, Erman; Ozekes, Serhat; Turel, Yalin Kilic

    2014-01-01

    This study examined the prediction of dropouts through data mining approaches in an online program. The subject of the study was selected from a total of 189 students who registered to the online Information Technologies Certificate Program in 2007-2009. The data was collected through online questionnaires (Demographic Survey, Online Technologies…

  16. Comparisons of High School Graduation Rates of Students with Disabilities and Their Peers in Twelve Southern States

    Science.gov (United States)

    Smith, Theodore Scott; Manuel, Nancy; Stokes, Billy R.

    2012-01-01

    This study compared differences in diploma and graduation dropout rates among students with and without disabilities, analyzed differences in various graduation-types by disabilities, and offered recommendations to improve graduation rates through evidence-based practices. The geographic catchment area of this study was limited to twelve Southern…

  17. Dropout and Functional Illiteracy Rates in Central Appalachia. Appalachian Data Bank Report #1.

    Science.gov (United States)

    Crew, B. Keith; And Others

    Computerized analysis of 1980 Census data documented educational deficiencies in 85 Central Appalachian counties of Kentucky, Tennessee, Virginia, and West Virginia. Dropout rates among youth ages 16-19 were found to be higher in Central Appalachian counties than in non-Central Appalachian counties, the poorest counties had the highest dropout…

  18. Does the Economic Crisis Have an Influence on the Higher Education Dropout Rate?

    Science.gov (United States)

    Leão Fernandes, Graça; Chagas Lopes, Margarida

    2016-01-01

    This research aims to identify the effects of the economic crisis on higher education (HE) dropout rates at Lisbon School of Economics and Management (ISEG)--Universidade de Lisboa, after having controlled for individual characteristics, family background, High School and HE trajectories. Our main hypothesis is that the economic crisis induces…

  19. 78 FR 11803 - Proposed Waiver and Extension of the Project Period for the National Dropout Prevention Center...

    Science.gov (United States)

    2013-02-20

    ... the National Dropout Prevention Center for Students With Disabilities [Catalog of Federal Domestic... would enable the currently funded National Dropout Prevention Center for Students with Disabilities to... about dropout prevention for students with disabilities, and to develop a series of high-quality...

  20. Refining Success and Dropout in MOOCs Based on the Intention-Behaviour Gap

    NARCIS (Netherlands)

    Henderikx, Maartje; Kreijns, Karel; Kalz, Marco

    2016-01-01

    Currently success measurement of MOOCs is certificate- and completion-centric and fails to take student intention into account. This results in high dropout rates of 90-95%. While this view of success has been critiqued by the research community, no suitable alternative has yet been developed. This

  1. Development of a Program to Reduce Dropout Rates of Pregnant and Parenting Teens.

    Science.gov (United States)

    Pollack, Andrew M.

    1987-01-01

    Describes a program to reduce the dropout rate for pregnant and parenting teens at York Vocational-Technical School (Pennsylvania) for the second semester of 1985-86. One successful feature was a "caring class" providing information about pregnancy, childcare, nutrition, and other subjects. The program retained most of its enrollees. Includes 1…

  2. Dropout Rates in Randomized Clinical Trials of Antipsychotics: A Meta-analysis Comparing First- and Second-Generation Drugs and an Examination of the Role of Trial Design Features

    OpenAIRE

    Rabinowitz, Jonathan; Levine, Stephen Z.; Barkai, Orna; Davidov, Ori

    2008-01-01

    Dropout is often used as an outcome measure in clinical trials of antipsychotic medication. Previous research is inconclusive regarding (a) differences in dropout rates between first- and second-generation antipsychotic medications and (b) how trial design features reduce dropout. Meta-analysis of randomized controlled trials (RCTs) of antipsychotic medication was conducted to compare dropout rates for first- and second-generation antipsychotic drugs and to examine how a broad range of design...

  3. High School Dropout in Proximal Context: The Triggering Role of Stressful Life Events.

    Science.gov (United States)

    Dupéré, Véronique; Dion, Eric; Leventhal, Tama; Archambault, Isabelle; Crosnoe, Robert; Janosz, Michel

    2018-03-01

    Adolescents who drop out of high school experience enduring negative consequences across many domains. Yet, the circumstances triggering their departure are poorly understood. This study examined the precipitating role of recent psychosocial stressors by comparing three groups of Canadian high school students (52% boys; M age  = 16.3 years; N = 545): recent dropouts, matched at-risk students who remain in school, and average students. Results indicate that in comparison with the two other groups, dropouts were over three times more likely to have experienced recent acute stressors rated as severe by independent coders. These stressors occurred across a variety of domains. Considering the circumstances in which youth decide to drop out has implications for future research and for policy and practice. © 2017 The Authors. Child Development © 2017 Society for Research in Child Development, Inc.

  4. Diplomas Count 2013: Second Chances--Turning Dropouts into Graduates

    Science.gov (United States)

    Education Week, 2013

    2013-01-01

    The 2013 edition of "Diplomas Count," entitled "Second Chances: Turning Dropouts into Graduates," examines dropout recovery and innovative strategies for returning to the educational fold the 1 million students who leave school without a diploma each year. "Education Week's" journalists investigate interventions that…

  5. 78 FR 33228 - Final Waiver and Extension of the Project Period for the National Dropout Prevention Center for...

    Science.gov (United States)

    2013-06-04

    ... the National Dropout Prevention Center for Students With Disabilities [Catalog of Federal Domestic... period enables the currently funded National Dropout Prevention Center for Students with Disabilities... Dropout Prevention Center for Students with Disabilities. The Center was funded under the Technical...

  6. Influence of mental disorders on school dropout in Mexico.

    Science.gov (United States)

    Borges, Guilherme; Medina Mora-Icaza, María Elena; Benjet, Corina; Lee, Sing; Lane, Michael; Breslau, Joshua

    2011-11-01

    To study the impact of mental disorders on failure in educational attainment in Mexico. Diagnoses and age of onset for each of 16 DSM-IV disorders were assessed through retrospective self-reports with the Composite International Diagnostic Instrument (CIDI) during fieldwork in 2001-2002. Survival analysis was used to examine associations between early onset DSM-IV/CIDI disorders and subsequent school dropout or failure to reach educational milestones. More than one of two Mexicans did not complete secondary education. More than one-third of those who finished secondary education did not enter college, and one of four students who entered college did not graduate. Impulse control disorders and substance use disorders were associated with higher risk for school dropout, secondary school dropout and to a lesser degree failure to enter college. Anxiety disorders were associated with lower risk for school dropout, especially secondary school dropout and, to a lesser degree, primary school dropout. The heterogeneity of results found in Mexico may be due to the effect of mental disorders being diminished or masked by the much greater effect of economic hardship and low cultural expectations for educational achievement. Future research should inquire deeper into possible reasons for the better performance of students with anxiety disorders in developing countries.

  7. Relationship of dropout and psychopathology in a high school sample in Mexico.

    Science.gov (United States)

    Chalita, Pablo J; Palacios, Lino; Cortes, Jose F; Landeros-Weisenberger, Angeli; Panza, Kaitlyn E; Bloch, Michael H

    2012-01-01

    School dropout has significant consequences for both individuals and societies. Only 21% of adults in Mexico achieve the equivalent of a high school education. We examined the relationship between school dropout and self-reported psychiatric symptoms in a middle school in a suburb of Mexico City. We used binomial logistic regression to examine the odds ratio (OR) of school dropout associated with students' self-reported psychopathology. Two-hundred thirty-seven students participated in the study. Psychosis [OR = 8.0 (95% confidence interval, CI: 1.7-37.2)], depression [OR = 4.7 (95% CI: 2.2-9.7)], tic disorders [OR = 3.7 (95% CI: 1.4-9.5)], ADHD [OR = 3.2 (95% CI: 1.5-6.4)], and social phobia [OR = 2.6 (95% CI: 1.2-5.8)] were associated with increased risk of school dropout after controlling for age and gender as covariates. Our study suggested that students' self-reported psychopathology is associated with increased school dropout in Mexico. ADHD and depression may be particularly useful childhood psychiatric disorders to target with public health interventions because they explain the greatest amount of the variance in school dropout of child psychiatric disorders.

  8. The time to degree or dropout amongst full-time master's students at University of KwaZulu-Natal

    Directory of Open Access Journals (Sweden)

    Temesgen Zewotir

    2015-09-01

    Full Text Available Universities around the world are grappling with strategies to increase throughput and minimise dropout rates of postgraduate students. This study focuses on students at the University of KwaZulu-Natal and we attempt to estimate the time that it takes for these students to successfully complete or drop out from a master's programme. We used survival analysis to identify the factors which affect this. The results of this analysis showed that having some form of financial aid and/or being a student in the Faculties of Humanities or Management, all significantly shortened the length of time that it took to eventually drop out from a master's programme. For students who successfully completed a master's degree, having some form of financial aid, being of international origin and/or being registered in the Faculties of Health, Humanities, Law or Management, all helped to significantly shorten the length of time it took to successfully complete a master's programme. Students in the Faculty of Medicine, however, took longer to successfully complete their studies. Black Africans took less time to complete their master's degrees when compared with otherwise identical students from the other race groups.

  9. Predicting Psychotherapy Dropouts: A Multilevel Approach.

    Science.gov (United States)

    Kegel, Alexander F; Flückiger, Christoph

    2015-01-01

    The role of therapeutic processes in predicting premature termination of psychotherapy has been a particular focus of recent research. The purpose of this study was to contrast outpatients who completed therapy and those who dropped out with respect to their self-reported in-session experiences of self-esteem, mastery, clarification and the therapeutic alliance. The 296 patients with mixed disorders were treated with an integrative form of cognitive-behavioural therapy without pre-determined time limit (M = 20.2 sessions). Multilevel analyses indicated that patients who did not completetreatment reported, on average, lower levels of self-esteem, mastery and clarification and lower ratings of their therapeutic alliance in treatment in contrast to patients who completed therapy. Patient-reported change in self-esteem experiences over the course of treatment turned out to be the strongest predictor of dropout from psychotherapy or successful completion. When dropout occurred before the average treatment length was reached, patients reported fewer clarifying experiences as early as the first session and their ratings of the therapeutic alliance were characterized by an absence of positive development. Both of these aspects seem to be involved in patients' decisions to leave treatment early. The findings underscore the importance of the therapeutic process in understanding the mechanisms behind treatment dropout. Analyses data from 296 patients at a private outpatient clinic in a routine practice setting (CBT). Completer/dropout definition: presence or absence of measurement battery at post-assessment. Focuses on change in therapy processes by investigating post-session reports. Finds that positive changes in self-esteem experiences is the most robust predictor of dropout, followed by ratings of clarification experiences and the global alliance. In line with recent dropout research, these process indicators might help to detect therapeutic situations that are

  10. Accounting for dropout reason in longitudinal studies with nonignorable dropout.

    Science.gov (United States)

    Moore, Camille M; MaWhinney, Samantha; Forster, Jeri E; Carlson, Nichole E; Allshouse, Amanda; Wang, Xinshuo; Routy, Jean-Pierre; Conway, Brian; Connick, Elizabeth

    2017-08-01

    Dropout is a common problem in longitudinal cohort studies and clinical trials, often raising concerns of nonignorable dropout. Selection, frailty, and mixture models have been proposed to account for potentially nonignorable missingness by relating the longitudinal outcome to time of dropout. In addition, many longitudinal studies encounter multiple types of missing data or reasons for dropout, such as loss to follow-up, disease progression, treatment modifications and death. When clinically distinct dropout reasons are present, it may be preferable to control for both dropout reason and time to gain additional clinical insights. This may be especially interesting when the dropout reason and dropout times differ by the primary exposure variable. We extend a semi-parametric varying-coefficient method for nonignorable dropout to accommodate dropout reason. We apply our method to untreated HIV-infected subjects recruited to the Acute Infection and Early Disease Research Program HIV cohort and compare longitudinal CD4 + T cell count in injection drug users to nonusers with two dropout reasons: anti-retroviral treatment initiation and loss to follow-up.

  11. Role of Personal Factors in Academic Success and Dropout of IT Students: Evidence From Students and Alumni

    Directory of Open Access Journals (Sweden)

    Dijana Oreški

    2016-08-01

    Full Text Available Aims of the study were three fold: to identify the factors which are able to explain academic success of IT students, to explore differences in perception of current students and alumni and to explore differences between genders. In order to achieve the research goals, neural networks and t-test were applied. The study was based on three sets of factors related to academic success, academic failure and dropout. The results indicate gender differences and differences between students’ and alumni responses, especially in their perception of academic failure. Age, students’ status and rank position at enrollment have been shown as the most important determinants of academic success.

  12. Factors associated with dropout in medical education: a literature review.

    Science.gov (United States)

    O'Neill, Lotte Dyhrberg; Wallstedt, Birgitta; Eika, Berit; Hartvigsen, Jan

    2011-05-01

    Medical school dropout may have negative consequences for society, patients, the profession, schools and dropouts. To our knowledge, the literature dealing with dropout from medical school has never been systematically and critically appraised. This review aimed to systematically and critically review studies dealing with factors found to be associated with dropping out of medical school. A systematic critical literature review of the international peer-reviewed research literature on medical education was performed. A primary search was conducted and subsequently supplemented with ancestry and descendancy searches. The population of interest was medical students and the outcome was dropout. Abstract/title screening and quality assessment were performed by two independent researchers. Studies were assessed on six domains of quality: study participation; study attrition; predictor measurement; measurement of and accounting for confounders; outcome measurement, and analysis. Only studies that accounted for confounding were included in the final analysis. Of 625 studies found, 48 were quality-assessed and 13 of these were eventually included based on their fulfilment of our quality-related criteria. A range of entry qualifications seemed to be associated with greater chances of a student dropping out (odds ratio [OR] = 1.65-4.00). Struggling academically in medical school may be strongly associated with dropout. By contrast, no specific pattern of demographic variables was particularly important in relation to dropout. The effects of socio-economic, psychological and educational variables on dropout were not well investigated. More research into causal models and theory testing, which considers the effects of education, organisation and institution, is necessary if we are to learn more about how we can actively prevent medical student withdrawal. © Blackwell Publishing Ltd 2011.

  13. Characteristics of Early Community College Dropouts. CCRC Analytics

    Science.gov (United States)

    Crosta, Peter M.

    2013-01-01

    For colleges to develop effective dropout prevention strategies, it is necessary to have a clear picture of who these early dropouts are. This report identifies distinguishing characteristics of this group by analyzing six years of transcript data on 14,429 first-time college students who in 2005 and 2006 enrolled at one of five community colleges…

  14. Medical school dropout--testing at admission versus selection by highest grades as predictors.

    Science.gov (United States)

    O'Neill, Lotte; Hartvigsen, Jan; Wallstedt, Birgitta; Korsholm, Lars; Eika, Berit

    2011-11-01

    Very few studies have reported on the effect of admission tests on medical school dropout. The main aim of this study was to evaluate the predictive validity of non-grade-based admission testing versus grade-based admission relative to subsequent dropout. This prospective cohort study followed six cohorts of medical students admitted to the medical school at the University of Southern Denmark during 2002-2007 (n=1544). Half of the students were admitted based on their prior achievement of highest grades (Strategy 1) and the other half took a composite non-grade-based admission test (Strategy 2). Educational as well as social predictor variables (doctor-parent, origin, parenthood, parents living together, parent on benefit, university-educated parents) were also examined. The outcome of interest was students' dropout status at 2 years after admission. Multivariate logistic regression analysis was used to model dropout. Strategy 2 (admission test) students had a lower relative risk for dropping out of medical school within 2 years of admission (odds ratio 0.56, 95% confidence interval 0.39-0.80). Only the admission strategy, the type of qualifying examination and the priority given to the programme on the national application forms contributed significantly to the dropout model. Social variables did not predict dropout and neither did Strategy 2 admission test scores. Selection by admission testing appeared to have an independent, protective effect on dropout in this setting. © Blackwell Publishing Ltd 2011.

  15. School Dropout Indicators, Trends, and Interventions for School Counselors

    Science.gov (United States)

    Dockery, Donna J.

    2012-01-01

    School counselors are expected to develop programs that promote academic success for all students, including those at risk for dropping out of school. Knowledge of key indicators of potential dropouts and current trends in dropout prevention research may assist school counselors in better understanding this complex issue. Implementing recommended…

  16. The Reasons of School Dropouts in Higher Education: Babaeski Vocational College Case

    Science.gov (United States)

    Can, Ertug; Aktas, Fatma Oya; Arpacioglu, Isil Tuzun

    2017-01-01

    In Turkey, nearly 400.000 higher education students have left university education in the last 3 years. This figure is an indication of a negative situation. Turkey is in the first place in terms of school dropout rates within the European Higher Education Area (EHEA). After completing primary and secondary education and passing the necessary…

  17. Estimated mental retardation and school dropout in a sample of students from state public schools in Porto Alegre, Brazil

    Directory of Open Access Journals (Sweden)

    Tramontina Silzá

    2002-01-01

    Full Text Available OBJECTIVES: To assess the association between estimated Mental Retardation (MR and school dropout in a sample of students of the third and fourth grades at state schools in Porto Alegre, the capital of the southernmost state of Brazil. METHOD: In this case - control study, students that dropped out from schools (n=44 and a control group who continued attending schools (n=44 had their intelligence quotient (IQ determined by the vocabulary and cubes subtests of the Wescheler Intelligence Scale fraction three-quarters third edition (WISCfraction three-quartersIII. Students with IQ lower than 70 were considered as potential cases of MR. Other prevalent mental disorders in this age range were assessed in both groups using the Schedule for Affective Disorders and Schizophrenia for Schoolfraction three-quarters Age Children, Epidemiological Version (K-SADS-E. RESULTS: The prevalence of potential MR was significantly higher in the dropped out group than in the control group (p<0.001. Odds ratio for school dropout was significantly higher in the presence of MR even after controlling for potentially confounding factors (age, conduct disorder, grade repetition, family structure and income (p<0.01. CONCLUSION: Children with IQ lower than 70 (potential MR were at higher risk for school dropout. These children need to be identified at school and specific educational strategies should be implemented to assure their inclusion in the learning process.

  18. Drop-out rate among patients treated with omalizumab for severe asthma: Literature review and real-life experience.

    Science.gov (United States)

    Caminati, M; Senna, G; Stefanizzi, G; Bellamoli, R; Longhi, S; Chieco-Bianchi, F; Guarnieri, G; Tognella, S; Olivieri, M; Micheletto, C; Festi, G; Bertocco, E; Mazza, M; Rossi, A; Vianello, A

    2016-08-25

    In patients with asthma, particularly severe asthma, poor adherence to inhaled drugs negatively affects the achievement of disease control. A better adherence rate is expected in the case of injected drugs, such as omalizumab, as they are administered only in a hospital setting. However, adherence to omalizumab has never been systematically investigated. The aim of this study was to review the omalizumab drop-out rate in randomized controlled trials (RCTs) and real-life studies. A comparative analysis was performed between published data and the Italian North East Omalizumab Network (NEONet) database. In RCTs the drop-out rate ranged from 7.1 to 19.4 %. Although the reasons for withdrawal were only occasionally reported, patient decision and adverse events were the most frequently reported causes. In real-life studies the drop-out rate ranged from 0 to 45.5 %. In most cases lack of efficacy was responsible for treatment discontinuation. According to NEONet data, 32 % of treated patients dropped out, with an increasing number of drop outs observed over time. Patient decision and lack of efficacy accounted for most treatment withdrawals. Treatment adherence is particularly crucial in patients with severe asthma considering the clinical impact of the disease and the cost of non-adherence. The risk of treatment discontinuation has to be carefully considered both in the experimental and real-life settings. Increased knowledge regarding the main reasons for patient withdrawal is important to improve adherence in clinical practice.

  19. Examining the relationship between relative age, competition level, and dropout rates in male youth ice-hockey players.

    Science.gov (United States)

    Lemez, S; Baker, J; Horton, S; Wattie, N; Weir, P

    2014-12-01

    The relative age effect suggests that athletes born in the first two quartiles of a given selection year experience a selection advantage and therefore a greater opportunity for success. We describe two studies examining the relationship between relative age, competition level, and dropout rates of Ontario Minor Hockey Association male ice-hockey players from ages 10 to 15 years (n = 14 325). In Study 1, dropout was highest among players born in quartiles three and four [χ(2) (3) = 16.32, P < 0.05; w = 0.06], while Study 2 found dropped out players to have less movement between competition levels compared to retained players. This study confirms a relationship between relative age and dropout from ice-hockey and adds further depth to our understanding of this persistent phenomenon. © 2013 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

  20. Did the 18 Drinking Age Promote High School Dropout? Implications for Current Policy.

    Science.gov (United States)

    Plunk, Andrew D; Agrawal, Arpana; Tate, William F; Cavazos-Rehg, Patricia; Bierut, Laura J; Grucza, Richard A

    2015-09-01

    Disagreement exists over whether permissive minimum legal drinking age (MLDA) laws affected underage adolescents (e.g., those age 17 years with the MLDA of 18). We used MLDA changes during the 1970s and 1980s as a natural experiment to investigate how underage exposure to permissive MLDA affected high school dropout. MLDA exposure was added to two data sets: (a) the 5% public use microdata samples of the 1990 and 2000 censuses (n = 3,671,075), and (b) a combined data set based on the 1991-1992 National Longitudinal Alcohol Epidemiological Survey (NLAES) and the 2001-2002 National Epidemiological Survey on Alcohol and Related Conditions (NESARC; n = 16,331). We used logistic regression to model different thresholds of MLDA on high school dropout. We also estimated models conditioned on demographic variables and familial risk of developing alcohol problems. Only the MLDA of 18 predicted high school dropout. Exposure was associated with 4% and 13% higher odds of high school dropout for the census and NLAES/NESARC samples, respectively. We noted greater impact on women (5%-18%), Blacks (5%-19%), and Hispanics (6%). Self-report of parental alcohol problems was associated with 40% higher odds, which equals a 4.14-point increase in dropout rate for that population. The MLDA of 18 likely had a large impact on high school dropout rates, suggesting that the presence of legal-aged peers in a high school setting increased access to alcohol for younger students. Our results also suggest that policy can promote less dangerous drinking behavior even when familial risk of alcohol use disorders is high.

  1. Need satisfaction, work-school interference and school dropout: an application of self-determination theory.

    Science.gov (United States)

    Taylor, Geneviève; Lekes, Natasha; Gagnon, Hugo; Kwan, Lisa; Koestner, Richard

    2012-12-01

    In many parts of the world, it is common for secondary school students to be involved in part-time employment. Research shows that working can have a negative impact on school engagement. However, the majority of studies have focused on the amount of time that students spend working rather than on the quality of work experience and its influence on school engagement. This study explored the relation of part-time work and school experiences to dropout intentions among secondary school and junior college students. The study was conceptualized from a self-determination theory perspective (Deci & Ryan, 2000). Participants were 3,248 students from rural and suburban schools in the greater region of Montreal, Canada. Questionnaires were used to assess the number of hours worked, the extent to which work interfered with or facilitated school functioning, autonomy, competence, and relatedness experienced in the work and school domains. School performance and school dropout intentions were also assessed. A curvilinear relation between work hours and dropout intentions was found, reflecting that part-time work began to be associated with higher dropout intentions only when students worked more than 7 hr per week. Analyses also showed that work-school interference was related to dropout intentions, and that this variable served to mediate the relation of employer autonomy support to dropout intentions. These results suggest that both the quantity and the quality of students' part-time work experiences need to be considered when examining the relation of work to school engagement. ©2011 The British Psychological Society.

  2. Psychological Treatment as Part of Dropout Prevention: An Israeli Program

    Science.gov (United States)

    Schwartz, Hava; Hain, Rebecca

    2014-01-01

    This article reports on the integration of psychotherapy in a comprehensive dropout prevention program developed at the Dean of Students' office of Ben-Gurion University of the Negev in Israel. The program's psychologists conducted psychotherapy with a subset of dropout prevention program participants who had reacted with emotional turmoil to the…

  3. Dropout in VET – institutional selection and social exclusion

    DEFF Research Database (Denmark)

    Jørgensen, Christian Helms

    Dropout – institutional selection and social exclusion For the last ten years dropout of vocational education has increased strongly in Denmark. The questions addressed in this paper are why and how dropout in VET takes place. The objective is to provide more detailed and qualified knowledge...... of the complex processes of dropping out. The present study is part of a large national research project on retention in VET. The paper aims to understand dropout as a result of the interplay of students’ agentic actions and social interactions and the opportunities for participation afforded by the colleges...... area, sub-cultural style, etc. It is shown how the students, through the interplay of institutional selection and social in- and exclusion, pass through different trajectories of participation in the programmes....

  4. An Empirical Assessment of Dropout Rate of Learners at Selected High Schools in King William’s Town, South Africa

    Directory of Open Access Journals (Sweden)

    Wendy Manona

    2015-12-01

    Full Text Available This study investigated and analysed factors responsible for high dropout rate of learners at selected high schools in King William’s Town District, Province of the Eastern Cape. The aim of the study is provide an understanding into inherent problems of early exit of learners in the education sector, which impede the long-term production of professionals with bright future. The main findings of this study revealed that multiple motives, associated with individual characteristics of dropouts and social problems emanating from their family background and influence of the community, prompted learners to dropout. Moreover, learner dropout is inter alia caused by social factors such as lack of resources, the effect of poverty, orphans at school, the distance between the school and the community, drug abuse, pregnancy and HIV and AIDS prevalence in schools, gangsterism and learning barriers. The results of this research suggest that the government should make resources available with regard to scholar transport, school nurses to provide education awareness programmes in relation to early pregnancies, HIV and AIDS infection to improve attendance rate. The Department of Social Development should provide information with regard to benefits available to orphaned learners. The government should ensure sustainable provision of the school nutrition programme to alleviate hunger and poverty. School management should effectively regulate the behaviour of learners to promote discipline in schools so that substance abuse is eliminated.

  5. Appropriateness of Dropout Layers and Allocation of Their 0.5 Rates across Convolutional Neural Networks for CIFAR-10, EEACL26, and NORB Datasets

    OpenAIRE

    Romanuke Vadim V.

    2017-01-01

    A technique of DropOut for preventing overfitting of convolutional neural networks for image classification is considered in the paper. The goal is to find a rule of rationally allocating DropOut layers of 0.5 rate to maximise performance. To achieve the goal, two common network architectures are used having either 4 or 5 convolutional layers. Benchmarking is fulfilled with CIFAR-10, EEACL26, and NORB datasets. Initially, series of all admissible versions for allocation of DropOut layers are ...

  6. Impact of Dupoto-e-Maa education project on dropout rate and academic performance

    Directory of Open Access Journals (Sweden)

    James B. Ouda

    2016-09-01

    Conclusion: The study recommended that there is need to increase the number of non-governmental organisations modelled around the Dupoto-e-Maa education project so as to reduce dropout rate and improve pupil academic performance. The findings could also inform government policy in terms of recruitment and placement of teachers in schools in arid and semi-arid lands. Project funding could be increased to improve visibility and sustainability of project activities.

  7. Data-driven system to predict academic grades and dropout

    Science.gov (United States)

    Rovira, Sergi; Puertas, Eloi

    2017-01-01

    Nowadays, the role of a tutor is more important than ever to prevent students dropout and improve their academic performance. This work proposes a data-driven system to extract relevant information hidden in the student academic data and, thus, help tutors to offer their pupils a more proactive personal guidance. In particular, our system, based on machine learning techniques, makes predictions of dropout intention and courses grades of students, as well as personalized course recommendations. Moreover, we present different visualizations which help in the interpretation of the results. In the experimental validation, we show that the system obtains promising results with data from the degree studies in Law, Computer Science and Mathematics of the Universitat de Barcelona. PMID:28196078

  8. Meta-analysis of dropout from cognitive behavioral therapy: Magnitude, timing, and moderators.

    Science.gov (United States)

    Fernandez, Ephrem; Salem, Dara; Swift, Joshua K; Ramtahal, Nirvana

    2015-12-01

    In this era of insistence on evidence-based treatments, cognitive behavioral therapy (CBT) has emerged as a highly preferred choice for a spectrum of psychological disorders. Yet, it is by no means immune to some of the vagaries of client participation. Special concerns arise when clients drop out from treatment. The aim of this study was to answer questions about the rate and timing of dropout from CBT, with specific reference to pretreatment versus during treatment phases. Also explored were several moderators of dropout. A meta-analysis was performed on dropout data from 115 primary empirical studies involving 20,995 participants receiving CBT for a range of mental health disorders. Average weighted dropout rate was 15.9% at pretreatment, and 26.2% during treatment. Dropout was significantly associated with (a) diagnosis, with depression having the highest attrition rate; (b) format of treatment delivery, with e-therapy having the highest rates; (c) treatment setting, with fewer inpatient than outpatient dropouts; and (d) number of sessions, with treatment starters showing significantly reduced dropout as number of sessions increased. Dropout was not significantly associated with client type (adults or adolescents), therapist licensure status, study design (randomized control trial [RCT] vs. non-RCT), or publication recency. Findings are interpreted with reference to other reviews. Possible clinical applications include careful choice and supplementing of treatment setting/delivery according to the diagnosis, and use of preparatory strategies. Suggestions for future research include standardization of operational definitions of dropout, specification of timing of dropout, and exploration of additional moderator variables. (c) 2015 APA, all rights reserved).

  9. Psychological and Educational Variables in University Dropout

    Science.gov (United States)

    Bethencourt, Jose Tomas; Cabrera, Lidia; Hernandez, Juan Andres; Alvarez-Perez, Pedro; Gonzalez-Afonso, Miriam

    2008-01-01

    Introduction: The purpose of this research is to demonstrate that on the perceptions of university students, the student variables are seen as most important than the context variables to dropout their university studies. Method: The used methodology was cross-sectional or of cut, of retrospective type. 558 undergraduates were interviewed by…

  10. Teachers' Views on the Impact of Teacher-Student Relationships on School Dropout: A Bourdieusian Analysis of Misrecognition

    Science.gov (United States)

    Nairz-Wirth, Erna; Feldmann, Klaus

    2017-01-01

    Drawing on Pierre Bourdieu's relational theory this paper shows that many teachers misrecognize the impact of teacher-student relationships on school dropout. The study is based on a series of 60 semi-structured interviews with teachers from Austrian secondary schools. The analysis of the empirical data reveals that many teachers attribute school…

  11. Dropout from cognitive-behavioral therapy for eating disorders: A meta-analysis of randomized, controlled trials.

    Science.gov (United States)

    Linardon, Jake; Hindle, Annemarie; Brennan, Leah

    2018-05-01

    Cognitive-behavioral therapy (CBT) is efficacious for a range of eating disorder presentations, yet premature dropout is one factor that might limit CBTs effectiveness. Improved understanding of dropout from CBT for eating disorders is important. This meta-analysis aimed to study dropout from CBT for eating disorders in randomized controlled trials (RCTs), by (a) identifying the types of dropout definitions applied, (b) providing estimates of dropout, (c) comparing dropout rates from CBT to non-CBT interventions for eating disorders, and (d) testing moderators of dropout. RCTs of CBT for eating disorders that reported rates of dropout were searched. Ninety-nine RCTs (131 CBT conditions) were included. Dropout definitions varied widely across studies. The overall dropout estimate was 24% (95% CI = 22-27%). Diagnostic type, type of dropout definition, baseline symptom severity, study quality, and sample age did not moderate this estimate. Dropout was highest among studies that delivered internet-based CBT and was lowest in studies that delivered transdiagnostic enhanced CBT. There was some evidence that longer treatment protocols were associated with lower dropout. No significant differences in dropout rates were observed between CBT and non-CBT interventions for all eating disorder subtypes. Present study dropout estimates are hampered by the use of disparate dropout definitions applied. This meta-analysis highlights the urgency for RCTs to utilize a standardized dropout definition and to report as much information on patient dropout as possible, so that strategies designed to minimize dropout can be developed, and factors predictive of CBT dropout can be more easily identified. © 2018 Wiley Periodicals, Inc.

  12. Appropriateness of Dropout Layers and Allocation of Their 0.5 Rates across Convolutional Neural Networks for CIFAR-10, EEACL26, and NORB Datasets

    Directory of Open Access Journals (Sweden)

    Romanuke Vadim V.

    2017-12-01

    Full Text Available A technique of DropOut for preventing overfitting of convolutional neural networks for image classification is considered in the paper. The goal is to find a rule of rationally allocating DropOut layers of 0.5 rate to maximise performance. To achieve the goal, two common network architectures are used having either 4 or 5 convolutional layers. Benchmarking is fulfilled with CIFAR-10, EEACL26, and NORB datasets. Initially, series of all admissible versions for allocation of DropOut layers are generated. After the performance against the series is evaluated, normalized and averaged, the compromising rule is found. It consists in non-compactly inserting a few DropOut layers before the last convolutional layer. It is likely that the scheme with two or more DropOut layers fits networks of many convolutional layers for image classification problems with a plenty of features. Such a scheme shall also fit simple datasets prone to overfitting. In fact, the rule “prefers” a fewer number of DropOut layers. The exemplary gain of the rule application is roughly between 10 % and 50 %.

  13. Dropout from individual psychotherapy for major depression: A meta-analysis of randomized clinical trials.

    Science.gov (United States)

    Cooper, Andrew A; Conklin, Laren R

    2015-08-01

    Dropout from mental health treatment poses a substantial problem, but rates vary substantially across studies and diagnoses. Focused reviews are needed to provide more detailed estimates for specific areas of research. Randomized clinical trials involving individual psychotherapy for unipolar depression are ubiquitous and important, but empirical data on average dropout rates from these studies is lacking. We conducted a random-effects meta-analysis of 54 such studies (N=5852) including 80 psychotherapy conditions, and evaluated a number of predictors of treatment- and study-level dropout rates. Our overall weighted dropout estimates were 19.9% at the study level, and 17.5% for psychotherapy conditions specifically. Therapy orientation did not significantly account for variance in dropout estimates, but estimates were significantly higher in psychotherapy conditions with more patients of minority racial status or with comorbid personality disorders. Treatment duration was also positively associated with dropout rates at trend level. Studies with an inactive control comparison had higher dropout rates than those without such a condition. Limitations include the inability to test certain potential predictors (e.g., socioeconomic status) due to infrequent reporting. Overall, our findings suggest the need to consider how specific patient and study characteristics may influence dropout rates in clinical research on individual therapy for depression. Copyright © 2015 Elsevier Ltd. All rights reserved.

  14. Meta-Analysis of Dropout in Treatments for Posttraumatic Stress Disorder

    Science.gov (United States)

    Imel, Zac E.; Laska, Kevin; Jakupcak, Matthew; Simpson, Tracy L.

    2013-01-01

    Objective: Many patients drop out of treatments for posttraumatic stress disorder (PTSD); some clinicians believe that trauma-focused treatments increase dropout. Method: We conducted a meta-analysis of dropout among active treatments in clinical trials for PTSD (42 studies; 17 direct comparisons). Results: The average dropout rate was 18%, but it…

  15. Public High School Four-Year On-Time Graduation Rates and Event Dropout Rates: School Years 2010-11 and 2011-12. First Look. NCES 2014-391

    Science.gov (United States)

    Stetser, Marie C.; Stillwell, Robert

    2014-01-01

    This National Center for Education Statistics (NCES) First Look report introduces new data for two separate measures of 4-year on-time graduation rates as well as event dropout rates for school year (SY) 2010-11 and SY 2011-12. Specifically this report provides the following: (1) Four-year adjusted cohort graduation rate (ACGR) data reported by…

  16. Dropout Rates and Response Times of an Occupation Search Tree in a Web Survey

    Directory of Open Access Journals (Sweden)

    Tijdens Kea

    2014-03-01

    Full Text Available Occupation is key in socioeconomic research. As in other survey modes, most web surveys use an open-ended question for occupation, though the absence of interviewers elicits unidentifiable or aggregated responses. Unlike other modes, web surveys can use a search tree with an occupation database. They are hardly ever used, but this may change due to technical advancements. This article evaluates a three-step search tree with 1,700 occupational titles, used in the 2010 multilingual WageIndicator web survey for UK, Belgium and Netherlands (22,990 observations. Dropout rates are high; in Step 1 due to unemployed respondents judging the question not to be adequate, and in Step 3 due to search tree item length. Median response times are substantial due to search tree item length, dropout in the next step and invalid occupations ticked. Overall the validity of the occupation data is rather good, 1.7-7.5% of the respondents completing the search tree have ticked an invalid occupation.

  17. Understanding Catalan University Dropout from a Comparative Approach

    OpenAIRE

    Rodríguez-Gómez, David; Feixas, Mònica; Gairín, Joaquín; Muñoz, José Luís

    2012-01-01

    Last decade yielded important research to understand the extent to which university dropout is having relevant consequences for higher education. The dropout rate has also been quantified and used as an indicator of performance (Dearing, 1996; Bricall, 2000; Rauret & Grifol, 2001; OECD, 2008; Mandelson, 2009). The aim of this paper is to offer an extensive perspective on how university dropout is being studied and faced in several contexts (America, Europe and, more concretely, Spain and Cata...

  18. Drop-Outs from Swiss Universities: An Empirical Analysis of Data on All Students between 1975 and 2008

    Science.gov (United States)

    Wolter, Stefan C.; Diem, Andrea; Messer, Dolores

    2014-01-01

    This study presents in-depth empirical analyses of drop-outs from all Swiss universities for the entire student population between 1975 and 2008. The results show that most identifiable factors associated with a greater or lesser probability of dropping out are identical to those found in a recent Systematic Review (Larsen et?al., 2013). The main…

  19. No-shows, drop-outs and completers in psychotherapeutic treatment

    DEFF Research Database (Denmark)

    Fenger, Morten Munthe; Mortensen, Erik Lykke; Poulsen, Stig Bernt

    2011-01-01

    A primary challenge in mental health services is a high rate of non-attendance (i.e. no-show and drop-out) for patients referred to treatment for psychiatric disorders.......A primary challenge in mental health services is a high rate of non-attendance (i.e. no-show and drop-out) for patients referred to treatment for psychiatric disorders....

  20. Alaskan Native High School Dropouts: A Report Prepared for Project ANNA.

    Science.gov (United States)

    Jacobson, Desa

    Presented is a summary of the Alaskan Native high school dropouts. The data collected on 180 Native Alaskan high school dropouts was taken from the regional dormitories at Nome, Kodiak, Bethel and Boarding Home programs in Anchorage, Tok, Fairbanks, Dillingham, and Ketchikan. Students who terminated for academic reasons, failed to attend school,…

  1. The Determinants of University Dropouts: A Bivariate Probability Model with Sample Selection.

    Science.gov (United States)

    Montmarquette, Claude; Mahseredjian, Sophie; Houle, Rachel

    2001-01-01

    Studies determinants of university dropouts, using a longitudinal data set on student enrollments at the University of Montreal. Variables explaining persistence and dropouts are related to a nontraditional class-size effect in first-year required courses and to type of university program. Strong academic performance influences student…

  2. Dropout from secondary education: All's well that begins well

    NARCIS (Netherlands)

    de Witte, K.

    2010-01-01

    Despite the increased attention to students leaving secondary education without a diploma, numerous students dropout yearly. This paper makes a distinction between the individual perspective and the institutional perspective of dropping out. The former is explored by multinominal logit models, with

  3. Theory of Planned Behavior: Sensitivity and Specificity in Predicting Graduation and Drop-Out among College and University Students?

    Science.gov (United States)

    Fichten, Catherine S.; Amsel, Rhonda; Jorgensen, Mary; Nguyen, Mai Nhu; Budd, Jillian; King, Laura; Jorgensen, Shirley; Asuncion, Jennison

    2016-01-01

    We examined sensitivity and specificity when using the three theory of planned behavior (TPB) scales (Perceived Behavioral Control, Subjective Norms, Attitude) to predict graduation and drop-out in a longitudinal study of 252 college and university students with disabilities and in a separate cross-sectional study of a random sample of 1380…

  4. Risk Factors for School Dropout in a Sample of Juvenile Offenders.

    Science.gov (United States)

    Fernández-Suárez, Asunción; Herrero, Juan; Pérez, Beatriz; Juarros-Basterretxea, Joel; Rodríguez-Díaz, Francisco J

    2016-01-01

    Backgrounds: The high rates of school dropout worldwide and their relevance highlight the need for a close study of its causes and consequences. Literature has suggested that school dropout might be explained by multiple causes at different levels (individual, family, school, and neighborhood). The aim of the current study is to examine the relation between individual (defiant attitude, irresponsibility, alcohol abuse, and illegal drugs use), family (educational figure absent and parental monitoring), school factors (truancy and school conflict) and school dropout. Method: Judicial files of all juvenile offenders (218 males and 46 females) with a judicial penal measure in Asturias (Spain) in the year 2012 were examined. Multivariate logistic regression analyses were performed to estimate the relationships between school dropout and individual, family and school variables. Results: As for the individual characteristics, results showed that school dropouts were more irresponsible than non-dropouts. Also they had higher rates of illegal drug use and alcohol abuse. Moreover, lack of parental monitoring emerged as a key predictive factor of school dropout, beyond the type of family structure in terms of the presence of both or only one educational figure. Finally, school factors did not show a significant relationship to school dropout. Conclusions : These findings indicate that school dropout is a multidimensional process. School and family policies that emphasize the role of parental monitoring and prevent alcohol and substance abuse are recommended.

  5. Risk Factors for School Dropout in a Sample of Juvenile Offenders

    Science.gov (United States)

    Fernández-Suárez, Asunción; Herrero, Juan; Pérez, Beatriz; Juarros-Basterretxea, Joel; Rodríguez-Díaz, Francisco J.

    2016-01-01

    Backgrounds: The high rates of school dropout worldwide and their relevance highlight the need for a close study of its causes and consequences. Literature has suggested that school dropout might be explained by multiple causes at different levels (individual, family, school, and neighborhood). The aim of the current study is to examine the relation between individual (defiant attitude, irresponsibility, alcohol abuse, and illegal drugs use), family (educational figure absent and parental monitoring), school factors (truancy and school conflict) and school dropout. Method: Judicial files of all juvenile offenders (218 males and 46 females) with a judicial penal measure in Asturias (Spain) in the year 2012 were examined. Multivariate logistic regression analyses were performed to estimate the relationships between school dropout and individual, family and school variables. Results: As for the individual characteristics, results showed that school dropouts were more irresponsible than non-dropouts. Also they had higher rates of illegal drug use and alcohol abuse. Moreover, lack of parental monitoring emerged as a key predictive factor of school dropout, beyond the type of family structure in terms of the presence of both or only one educational figure. Finally, school factors did not show a significant relationship to school dropout. Conclusions: These findings indicate that school dropout is a multidimensional process. School and family policies that emphasize the role of parental monitoring and prevent alcohol and substance abuse are recommended. PMID:28082934

  6. The Meaning of School from Dropout's View Point (A Phenomenological Study)

    Science.gov (United States)

    Habibi; Setiawan, Cally

    2017-01-01

    Student dropouts are complex problems in Indonesia. Some of the dropouts living in rural areas have migrated to the large cities. It contributes to the child labor growth which is already one the major problems in Indonesia. Knowledge about the meaning of school from their perspective could be helpful for policy and programs related to dropout…

  7. Performance of nonlinear mixed effects models in the presence of informative dropout.

    Science.gov (United States)

    Björnsson, Marcus A; Friberg, Lena E; Simonsson, Ulrika S H

    2015-01-01

    Informative dropout can lead to bias in statistical analyses if not handled appropriately. The objective of this simulation study was to investigate the performance of nonlinear mixed effects models with regard to bias and precision, with and without handling informative dropout. An efficacy variable and dropout depending on that efficacy variable were simulated and model parameters were reestimated, with or without including a dropout model. The Laplace and FOCE-I estimation methods in NONMEM 7, and the stochastic simulations and estimations (SSE) functionality in PsN, were used in the analysis. For the base scenario, bias was low, less than 5% for all fixed effects parameters, when a dropout model was used in the estimations. When a dropout model was not included, bias increased up to 8% for the Laplace method and up to 21% if the FOCE-I estimation method was applied. The bias increased with decreasing number of observations per subject, increasing placebo effect and increasing dropout rate, but was relatively unaffected by the number of subjects in the study. This study illustrates that ignoring informative dropout can lead to biased parameters in nonlinear mixed effects modeling, but even in cases with few observations or high dropout rate, the bias is relatively low and only translates into small effects on predictions of the underlying effect variable. A dropout model is, however, crucial in the presence of informative dropout in order to make realistic simulations of trial outcomes.

  8. Dropout is a problem in lifestyle intervention programs for overweight and obese infertile women: a systematic review.

    Science.gov (United States)

    Mutsaerts, M A Q; Kuchenbecker, W K H; Mol, B W; Land, J A; Hoek, A

    2013-04-01

    What are the dropout rates in lifestyle intervention programs (LIPs) for overweight and obese infertile women and can intervention- or patient-related baseline factors associated with dropout be identified in these women? The median dropout rate was 24% in overweight and obese infertile women who participated in a LIP; clinical useful intervention or patient-related factors associated with dropout could not be identified. Overweight and obese infertile women might improve their chance of conception when they improve their lifestyle and lose weight. Dropout from LIPs reduces the chance of losing considerable weight and is therefore considered to be an important limiting factor of the success of LIPs. This systematic review included 15 studies published between January 1980 and December 2012. The included studies investigated the effect of LIPs for overweight and obese infertile women with infertility. From these studies, dropout rates and intervention- and patient-related baseline factors associated with dropout, as well as weight loss and pregnancy rates, were recorded. There were 15 studies identified, of which 10 reported dropout rates. The median dropout rate was 24% (range: 0-31%). Four studies reported baseline characteristics of women who dropped out, but modifiable predictors of dropout could not be identified. Weight loss and pregnancy rates were lower in women who dropped out than in women who completed the LIPs. There were limited numbers of studies investigating patient-related factors associated with dropout. The heterogeneity in the studies precluded us from drawing firm conclusions on the relation between the type of intervention and dropout. Dropout from LIPs is a major drawback because it predisposes to less weight loss and lower pregnancy rates. Identification of predictors of dropout is needed to identify overweight and obese infertile women who are prone for dropout. These women might benefit from extra support and monitoring, to potentially

  9. Dropout from Secondary Education: All's Well That Begins Well

    Science.gov (United States)

    De Witte, Kristof; Rogge, Nicky

    2013-01-01

    Despite the increased attention to students leaving secondary education without a diploma numerous students still dropout yearly. This paper makes a distinction between the "individual perspective" and the "institutional perspective" of dropping out. The former is explored by multinominal logit models. We observe that…

  10. [Dropout behavior during inpatient psychotherapy ].

    Science.gov (United States)

    Martens, Ute; Rempel, Irene; Zipfel, Stephan; Enck, Paul; Teufel, Martin

    2014-01-01

    Dropouts result in far-reaching consequences for the individual patient, fellow patients, therapists, and the clinic. This study was aimed at early identification of patients with a dropout risk. Data from patients of the Department of Psychosomatic Medicine and Psychotherapy of the Medical University Clinic of Tübingen (Germany) were analyzed retrospectively in a case-control study (matched). Differences in the results of various questionnaires (SCL-90-R, IIP-D, SF-36) regarding reasons for dropout and sociodemographic data were analyzed. A total of 59 dropouts, 50 females and 9 males, were included. They were split into 28 early dropouts and 31 late dropouts. The data were compared between early and late dropouts and control group. Early dropouts were significantly younger than late dropouts; they tended to live with their parents or on their own, and suffered more frequently from eating disorders. Late dropouts lived together with partners and suffered from somatoform disorders more frequently than early dropouts. The reasons given for dropout did not differ between the groups. No differences between dropouts and the controls were found with respect to psychopathology (SCL- 90-R) and quality of life (SF-36). Late dropouts did show significantly lower scores on the scale "autocracy/dominance" than the controls (IIP). Therapy dropout is a multifactorial occurrence. It is generally not predictable, though it may be predicted with different instruments on the basis of a diagnosis, especially with respect to interpersonal behavior patterns. In further studies, targeted interventions should be developed and tested which enable procedures to minimize the risk of dropout and to achieve complete treatment according to patients' intentions.

  11. An Examination of Dropout in the Online, Computer-conferenced Classroom

    OpenAIRE

    Giles, Inez Marie

    1999-01-01

    Three questions guided this research study: a) Is Goal Accomplishment Style, as measured by Atman's Goal Orientation Index (GOI), related to persistence and dropout in an online, computer-conferenced class? b) Is there a relationship between other selected variables (Demographic, Personal, Institutional, and Participative) and student persistence or dropout in the online, computer-conferenced environment? And, c) Can a relationship between goal accomplishment style and the other selected stud...

  12. Study of the Factors Responsible for the Dropouts from the BSc Programme of Indira Gandhi National Open University

    Directory of Open Access Journals (Sweden)

    Bharat Inder Fozdar

    2006-12-01

    Full Text Available This paper presents a report on students who decided to drop out of the BSc programme offered by Indira Gandhi National Open University (IGNOU. This study was designed to determine the reasons leading to students’ decisions to withdraw from the programme. Identified in this study are nine major reasons for dropouts. Results of this study lead to several suggestions for improving current instructional and delivery strategies of IGNOU’s BSc Programme. Following such suggestions could help to reduce students’ dropout rate for this particular programme through implementation of timely interventions at different critical stages of their learning journey.

  13. Impact of problem-based, active learning on graduation rates for 10 generations of Dutch medical students.

    Science.gov (United States)

    Schmidt, Henk G; Cohen-Schotanus, Janke; Arends, Lidia R

    2009-03-01

    We aimed to study the effects of active-learning curricula on graduation rates of students and on the length of time needed to graduate. Graduation rates for 10 generations of students enrolling in the eight Dutch medical schools between 1989 and 1998 were analysed. In addition, time needed to graduate was recorded. Three of the eight schools had curricula emphasising active learning, small-group instruction and limited numbers of lectures; the other five had conventional curricula to varying degrees. Overall, the active-learning curricula graduated on average 8% more students per year, and these students graduated on average 5 months earlier than their colleagues from conventional curricula. Four hypotheses potentially explaining the effect of active learning on graduation rate and study duration were considered: (i) active-learning curricula promote the social and academic integration of students; (ii) active-learning curricula attract brighter students; (iii) active-learning curricula retain more poor students, and (iv) the active engagement of students with their study required by active-learning curricula induces better academic performance and, hence, lower dropout rates. The first three hypotheses had to be rejected. It was concluded that the better-learning hypothesis provides the most parsimonious account for the data.

  14. Mental health and school dropout across educational levels and genders: a 4.8-year follow-up study.

    Science.gov (United States)

    Hjorth, Cathrine F; Bilgrav, Line; Frandsen, Louise Sjørslev; Overgaard, Charlotte; Torp-Pedersen, Christian; Nielsen, Berit; Bøggild, Henrik

    2016-09-15

    Education is a key determinant of future employment and income prospects of young people. Poor mental health is common among young people and is related to risk of dropping out of school (dropout). Educational level and gender might play a role in the association, which remains to be studied. Mental health was measured in 3146 Danish inhabitants aged 16-29 years using the 12-Item Short-Form Health Survey and examined across genders and educational levels. For students, educational level at baseline was used; for young people who were not enrolled in school at baseline (non-students), the highest achieved educational level was used. The risk of dropout in students was investigated in administrative registers over a 4.8-year period (1(st) March 2010-31(th) December 2014). Odds ratios (OR) and 95 % confidence intervals (CI) were calculated for mental health and in relation to dropout in logistic regression models, adjusting for age, gender, educational level, parental education, parental income and ethnicity. Poor mental health was present in 24 % (n = 753) of the participants, 29 % (n = 468) in females and 19 % (n = 285) in males (p mental health than males (OR = 1.8, CI = 1.5-2.2). Among the students the lowest risk was found at the elementary level (OR = 1.3, CI = 0.8-2.3), while students in higher education had a statistically significantly higher risk (OR = 1.9, CI = 1.2-2.9). The lowest-educated non-students had the highest OR of poor mental health (OR = 3.3, CI = 2.1-5.4). Dropout occurred in 8 % (n = 124) of the students. Poor mental health was associated to dropout in vocational (OR = 1.8, CI = 1.0-3.2) and higher education (OR = 2.0, CI = 1.0-4.2). For males in higher education, poor mental health was a predictor of dropout (OR = 5.2, CI = 1.6-17.3), which was not seen females in higher education (OR = 1.2, CI = 0.5-3.1). Poor mental health was significantly associated to

  15. Creating an Early Warning System: Predictors of Dropout in Delaware. REL Mid-Atlantic Technical Assistance Brief. REL MA 1.2.75-10

    Science.gov (United States)

    Uekawa, Kazuaki; Merola, Stacey; Fernandez, Felix; Porowski, Allan

    2010-01-01

    This Technical Brief presents an historical analysis of key indicators of dropout for Delaware students in grades 9-12. Cut points for key risk indicators of high school dropout for the State of Delaware are provided. Using data provided by the Delaware Department of Education (DDOE), relationships between student dropout and several student…

  16. Research-Based Strategies and Best Practices for Dropout Prevention

    Science.gov (United States)

    Smink, Jay

    2009-01-01

    The National Dropout Prevention Center (NDPC) at Clemson University has been at the forefront of identifying model dropout prevention programs and promoting the use of best practices to increase the graduation rates in schools since 1986. The structure for these varied interventions and solutions takes the form of effective strategies, model…

  17. Drop-out from a drug treatment clinic and associated reasons.

    Science.gov (United States)

    Hoseinie, Leila; Gholami, Zhaleh; Shadloo, Behrang; Mokri, Azarakhsh; Amin-Esmaeili, Masoumeh; Rahimi-Movaghar, Afarin

    2017-05-01

    The aim of this study was to assess drop-out rates and associated reasons among patients at the Iranian National Center for Addiction Studies (INCAS) clinic. In a one-year period (April 2014 to March 2015), all patients with drug dependence who had been referred for treatment and attended for a first assessment were included in this study (N=242). Those who received treatment were followed until March 2016. Survival analysis showed that 70.2% had dropped out from treatment. Log rank test showed that treatment drop-out rates differed between the different approaches used (P < 0.001), with the lowest slope inbuprenorphine maintenance treatment and the highest in the detoxification programme. Drop-out rates within the first three months was 62% (SE= 0.05) and 82.4% (SE=0.03) for opioids and stimulants dependence, respectively. Analyses were performed using SPSS (Version 21.0) and STATA software, (version 13.0). From the patients' perspective, motivational inconsistencies were considered as the main reason for not starting or leaving treatment. The findings of this study could give service providers a better grasp of drop-out rates and the associated reasons.

  18. Project SAIL: An Evaluation of a Dropout Prevention Program.

    Science.gov (United States)

    Thompson, John L.; And Others

    Project SAIL (Student Advocates Inspire Learning) is a Title IV-C Project located in Hopkins, Minnesota, designed to prevent students from dropping out of school by keeping them successfully involved in the mainstream environment. This study presents a review of other dropout prevention approaches, describes the intervention strategies involved in…

  19. Reasons for Dropout for Vocational High School Students

    Science.gov (United States)

    Tas, Ali; Selvitopu, Abdullah; Bora, Veysel; Demirkaya, Yusuf

    2013-01-01

    This study aimed to determine the reasons for dropout for persons who have not completed vocational education programme and left school without a diploma. By using snowball sampling method, 19 persons, willing to participate in the study, were reached. Data were obtained by semi structured interview forms. In data analysis process, inductive…

  20. A comparison of pre-dropout and temporary rupture sessions in psychotherapy.

    Science.gov (United States)

    Gülüm, I Volkan; Soygüt, Gonca; Safran, Jeremy D

    2016-11-15

    Although numerous studies have investigated the relationship between the therapeutic alliance and dropout, most have focused on the relationship between alliance quality and psychotherapy outcomes. To compare sessions with therapeutic alliance ruptures and two sessions prior to treatment dropout (pre-dropout) in terms of rupture subtypes, psychotherapists' behavior, attitudes, and session content. We implemented quantitative methods to select the sessions and qualitative methods to analyze them. We analyzed 16 temporary rupture sessions from 12 therapist-patient dyads and 16 pre-dropout sessions from 8 different therapist-patient dyads. The sessions originate from clinical psychology Master's or Doctoral students under supervision in either cognitive behavioral or schema therapy. Pre-dropout sessions were considered unrepaired rupture sessions while rupture sessions were subsequently repaired. Results revealed apparent differences and similarities between the session types in positive and negative psychotherapist behaviors, content intensity, and the type and frequency of ruptures. We explored three new rupture subtypes: attributing positive developments to other sources, indirect speech, and sarcastic hostility. A striking implication is that the frequency of positive and negative psychotherapist behaviors, ruptures, and session content is more likely to decrease in the pre-dropout sessions than in the temporary rupture sessions.

  1. Identifying potential dropouts from college physics classes

    Science.gov (United States)

    Wollman, Warren; Lawrenz, Frances

    Hudson and Rottman (1981) established that mathematics ability is probably a secondary factor influencing dropout from college physics courses. Other factors remain to be found for predicting who will drop out or at least have difficulty with the course. When mathematics ability is coupled with general indicators of performance (total GPA and ACT natural science), prediction of performance for those who complete the course is substantially improved. Moreover, discriminant analyses reveal who will have at least some difficulty, but not who will drop out. The problem of isolating specific weaknesses of students who have difficulty persists. Physics achievement appears to depend on mathematics ability only to the extent that students possess the ability to utilize mathematics knowledge for solving physics problems. Identification of the specific aspects of this ability as well as the specific deficiencies leading to dropout should be the object of future research. For the present, interviews might be more revealing than group testing methods.

  2. Comparison of Personal, Social and Academic Variables Related to University Drop-out and Persistence.

    Science.gov (United States)

    Bernardo, Ana; Esteban, María; Fernández, Estrella; Cervero, Antonio; Tuero, Ellián; Solano, Paula

    2016-01-01

    Dropping out of university has serious consequences not only for the student who drops out but also for the institution and society as a whole. Although this phenomenon has been widely studied, there is a need for broader knowledge of the context in which it occurs. Yet research on the subject often focuses on variables that, although they affect drop-out rates, lie beyond a university's control. This makes it hard to come up with effective preventive measures. That is why a northern Spanish university has undertaken a ex post facto holistic research study on 1,311 freshmen (2008/9, 2009/10, and 2010/11 cohorts). The study falls within the framework of the ALFA-GUIA European Project and focuses on those drop-out factors where there is scope for taking remedial measures. This research explored the possible relationship of degree drop-out and different categories of variables: variables related to the educational stage prior to university entry (path to entry university and main reason for degree choice), variables related to integration and coexistence at university (social integration, academic integration, relationships with teachers/peers and value of the living environment) financial status and performance during university studies (in terms of compliance with the program, time devoted to study, use of study techniques and class attendance). Descriptive, correlational and variance analyses were conducted to discover which of these variables really distinguish those students who drop-out from their peers who complete their studies. Results highlight the influence of vocation as main reason for degree choice, path to university entry, financial independency, social and academic adaptation, time devoted to study, use of study techniques and program compliance in the studied phenomenon.

  3. Supervisors' perspective on medical thesis projects and dropout rates: survey among thesis supervisors at a large German university hospital.

    Science.gov (United States)

    Can, Elif; Richter, Felicitas; Valchanova, Ralitsa; Dewey, Marc

    2016-10-14

    To identify underlying causes for failure of medical thesis projects and the constantly high drop-out rate in Germany from the supervisors' perspective and to compare the results with the students' perspective. Cross-sectional survey. Online questionnaire for survey of medical thesis supervisors among the staff of Charité-Universitätsmedizin Berlin, Germany. Published, earlier longitudinal survey among students for comparison. 1069 thesis supervisors participated. Data are presented using descriptive statistics, and the χ 2 test served to compare the results among supervisors with the earlier data from the longitudinal survey of doctoral students. Not applicable. This survey is an observational study. Of 3653 potential participants, 1069 (29.3%) supervising 3744 doctoral candidates participated in the study. Supervisors considered themselves to be highly motivated and to offer adequate supervision. On the other hand, 87% stated that they did not feel well prepared for thesis supervision. Supervisors gave lack of timeliness of doctoral students and personal differences (p=0.024 and p=0.001) as the main reasons for terminating thesis projects. Doctoral students predominantly mentioned methodological problems and difficult subjects as critical issues (p=0.001 and pthesis supervisors and medical students feel ill prepared for their roles in the process of a medical dissertation. Contradictory reasons for terminating medical thesis projects based on supervisors' and students' self-assessment suggest a lack of communication and true scientific collaboration between supervisors and doctoral students as the major underlying issue that requires resolution. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

  4. Understanding and reducing student withdrawal in e-learning

    Directory of Open Access Journals (Sweden)

    Marko Radovan

    2012-03-01

    Full Text Available In this paper we address the problem of student dropout from e-learning programmes. The proponents of e-learning highlight several advantages of this type of education as compared to the traditional, such as greater openness and diversity of training materials, the ability to adjust the mode and speed of learning, and similar. Despite these advantages, an increasing number of programmes and acceptance of e-learning as a national strategy all around the world, e-learning providers also face the problem of drop-outs. Research shows that student dropout in educational programmes implemented in the form of e-learning is higher than in traditional programmes. The reasons that affect the dropout rate should be considered when designing and implementing e-learning programmes

  5. Teachers Make the Critical Difference in Dropout Prevention.

    Science.gov (United States)

    Bucci, John A.; Reitzammer, Ann F.

    1992-01-01

    Teachers' daily interaction is a powerful influence on at-risk students. Effective dropout prevention components include positive instructional environment, enhancement of self-esteem, alternative education, absence monitoring, mentoring, parent involvement, social and health services, teen parent programs, and transition strategies. (SK)

  6. Evaluation of a Public Awareness Campaign to Prevent High School Dropout.

    Science.gov (United States)

    Babinski, Leslie M; Corra, Ashley J; Gifford, Elizabeth J

    2016-08-01

    Many advocacy organizations devote time and resources to increasing community awareness and educating the public in an effort to gain support for their issue. One such effort, the Dropout Prevention Campaign by America's Promise Alliance, aimed to increase the visibility of the high school dropout problem and mobilize the community to take action. The objective of this paper is to evaluate the framing of the Dropout Prevention Campaign in television news media. To evaluate this campaign, television news coverage about high school dropout in 12 U.S. communities (N = 982) was examined. A content analysis of news transcripts was conducted and coded to determine the definition of the problem, the reasons for dropout and the possible solutions. Findings indicated that the high school dropout problem was most often framed (30 % of news segments) in terms of the economic and societal implications for the community. Individual student factors as well as broader societal influences were frequently discussed as possible reasons for dropout. The most commonly mentioned solutions were school-based interventions. News segments that mentioned America's Promise Alliance were more likely to frame the issue as a crisis and to use statistics to illustrate that point. Solutions that were more likely to appear in America's Promise segments promoted community and cross-sector involvement, consistent with the messages promoted by the Dropout Prevention Campaign. The findings suggest that a media content analysis can be an effective framework for analyzing a prevention campaign.

  7. The Societal Benefits and Costs of School Dropout Recovery

    Directory of Open Access Journals (Sweden)

    James S. Catterall

    2011-01-01

    Full Text Available This article reports an analysis of the societal benefits and costs of recovering school dropouts. Successful recovery is defined by subsequent graduation from high school. The analysis is based on established estimates of the societal costs of dropping out including reduced government tax collections and higher social costs of welfare, healthcare, and crime. These potential costs are cast as benefits when a dropout is recovered. A large dropout recovery program provides the setting for the analysis. Rigorous attention is given to accurate estimation of the number of students who would not have graduated without the program in the year assessed and to the induced public costs of their continued education. Estimated benefits are weighed against the total annual public costs of the program, which operates in 65 school centers and commands an annual budget of about $70 million. The estimated benefit-cost ratio for this program is 3 to 1, a figure comparable to benefit-cost ratio estimates reported in studies of dropout prevention. The sensitivity of this conclusion to specific assumptions within the analysis is discussed.

  8. School motivation and high school dropout: the mediating role of educational expectation.

    Science.gov (United States)

    Fan, Weihua; Wolters, Christopher A

    2014-03-01

    A good deal of evidence indicates that students' motivational beliefs and attitudes play a critical role in their academic success. Research studies on how motivational factors may help determine whether students remain in high school or drop out, however, are relatively few. More specifically, there is a lack of research examining the dynamics of whether students' motivational beliefs from earlier in high school might be used to predict their status as a dropout in their final year. The aim of the present study was to examine the mediating role of students' educational expectations in linking students' school motivation to their dropout status by utilizing a nationally representative dataset. The present study used data from the Educational Longitudinal Study of 2002 (ELS: 2002). The final sample consisted of 16,194 students, with approximately 54% White, 13% Black, 16% Hispanic, and 10% Asian students, and the rest were Native American, Hawaiian, multiracial, or of other races. Structural equation modelling was employed to conduct the mediational analysis. The results of the present study demonstrated that the relationships between student ability beliefs in math and English and student behaviour of dropping out were fully mediated by students' educational expectations. The results also revealed that student intrinsic value in math and English had significant indirect relations with student behaviour of leaving school through students' educational expectations. The results of this study suggest that explanations for student dropout status that rely solely on students' social background and school behaviours without considering their motivation are incomplete. The study expands the extant research by showing possible pathways that motivate students to persist in high school. These pathways are specifically rooted in students' ability beliefs and intrinsic interest in learning through their relationships with students' expectations for their education. © 2012 The

  9. Selected medical students achieve better than lottery-admitted students during clerkships.

    Science.gov (United States)

    Urlings-Strop, Louise C; Themmen, Axel P N; Stijnen, Theo; Splinter, Ted A W

    2011-10-01

    A recent controlled study by our group showed that the dropout rate in the first 2 years of study of medical students selected for entry by the assessment of a combination of non-cognitive and cognitive abilities was 2.6 times lower than that of a control group of students admitted by lottery. The aim of the present study was to compare the performance of these two groups in the clinical phase. A prospective cohort study was performed to compare the performance of 389 medical students admitted by selection with that of 938 students admitted by weighted lottery between 2001 and 2004. Follow-up of these cohorts lasted 5.5-8.5 years. The main outcome measures were the mean grade obtained on the first five discipline-specific clerkships by all cohorts and the mean grade achieved on all 10 clerkships by the cohorts of 2001 and 2002. Selected students obtained a significantly higher mean grade during their first five clerkships than lottery-admitted students (mean ± standard error [SE] 7.95 ± 0.03, 95% confidence interval [CI] 7.90-8.00 versus mean ± SE 7.84 ± 0.02, 95% CI 7.81-7.87; p students achieved a grade of ≥ 8.0 1.5 times more often than lottery-admitted students. An analysis of all mean grades awarded on 10 clerkships revealed the same results. Moreover, the longer follow-up period over the clerkships showed that the relative risk for dropout was twice as low in the selected student group as in the lottery-admitted student group. The selected group received significantly higher mean grades on their first five clerkships, which could not be attributed to factors other than the selection procedure. Although the risk for dropout before the clinical phase increased somewhat in both groups, the actual dropout rate proved to be twice as low in the selected group. © Blackwell Publishing Ltd 2011.

  10. Factors that Contribute to Student Graduation and Dropout Rates: An In-Depth Study of a Rural Appalachian School District

    Science.gov (United States)

    Lyttle-Burns, Ann

    2011-01-01

    There has been a wealth of research conducted on the national epidemic of high school dropouts spanning several decades. It is estimated that the class of 2009 cost the nation $335 billion in lost wages, taxes and productivity over their lifetimes (Alliance for Excellent Education, 2009). The citizenry of the country suffers not only because of…

  11. Relationship between Self-Reported Psychopathology and Future Dropout in a Mexican School

    Directory of Open Access Journals (Sweden)

    Pablo J Chalita

    2012-03-01

    Full Text Available School dropout has significant consequences for both individuals and societies. Only 21% of adults in Mexico achieve the equivalent of a high school education. We examined the relationship between school dropout and self-reported psychiatric symptoms in a middle school in a suburb of Mexico City. We used binomial logistic regression to examine the odd ratio of school dropout associated with student’s self-reported psychopathology. Two-hundred thirty seven students participated in the study. Psychosis (Odds Ratio (OR=8.0 (95% Confidence Interval (CI: 1.7-37.2, depression (OR=4.7 (95% CI: 2.2-9.7, tic disorders (OR=3.7 (95%CI: 1.4-9.5, ADHD (OR=3.2 (95%CI:1.5-6.4, and social phobia (OR=2.6 (95%CI: 1.2-5.8 were associated with increased risk of school dropout after controlling for age and gender as covariates. Our study suggested that students’ self-reported psychopathology is associated with increased school dropout in Mexico.

  12. An exploration of students’ own explanations about dropout in vocational education in a danish context

    DEFF Research Database (Denmark)

    Tanggaard, Lene

    2013-01-01

    The present paper addresses the phenomenon of student dropout from vocational education in Denmark. It does so by addressing the need to critically discuss the term ‘drop-out’ taking the perspective of students’ own reflections on the topic. The empirical findings indicate that dropout...... is considered in terms of two very different, but intersecting broad explanations voiced by students themselves: (1) as something created in educational institutions in various situations, such as when teachers spend more time and resources on the more affluent, quick-witted and clever students or when...... there is a lack of trainee places and (2) an act resulting from individual initiative and or a lack of perseverance. Secondly, and as a result of analysing the possible interplay between and differences related to the above two broad explanations, the empirical material reveals alternatives to the dropout concept...

  13. Reducing the drop-out rate of a technical oriented course by introducing Problem Based Learning – a first concept

    Directory of Open Access Journals (Sweden)

    Christian Kaufmann

    2011-04-01

    Full Text Available At the University of Applied Sciences (UAS Technikum Wien one of the most difficult courses in the Bachelor degree program of Computer Science is “Database Systems and Database Design”. Together with “Advanced Computer Programming”, this course accounts for the high drop-out rate in the degree program. For this reason, this course was chosen for a redesign, in line with the research project QUADRO (Measures to increase quality of teaching and to reduce drop-out rates promoted by the City of Vienna – MA 27 (EU strategy and promote economic development. As the authors have already gained experience in Problem Based Learning (PBL, they saw an opportunity to improve students’ database knowledge by changing the teaching method to Problem Based Learning (PBL. The proposed paper first explains the current situation, identifies its drawbacks and difficulties. In a second step, it describes the new method, shows the students’ feedback after the first semester and the resulting changes in the concept.

  14. Dropout is a problem in lifestyle intervention programs for overweight and obese infertile women: a systematic review

    NARCIS (Netherlands)

    Mutsaerts, M. A. Q.; Kuchenbecker, W. K. H.; Mol, B. W.; Land, J. A.; Hoek, A.

    2013-01-01

    What are the dropout rates in lifestyle intervention programs (LIPs) for overweight and obese infertile women and can intervention- or patient-related baseline factors associated with dropout be identified in these women? The median dropout rate was 24% in overweight and obese infertile women who

  15. Dropout is a problem in lifestyle intervention programs for overweight and obese infertile women : a systematic review

    NARCIS (Netherlands)

    Mutsaerts, M. A. Q.; Kuchenbecker, W. K. H.; Mol, B. W.; Land, J. A.; Hoek, A.

    What are the dropout rates in lifestyle intervention programs (LIPs) for overweight and obese infertile women and can intervention- or patient-related baseline factors associated with dropout be identified in these women? The median dropout rate was 24 in overweight and obese infertile women who

  16. A Systematic Review of Dropout From Psychotherapy for Posttraumatic Stress Disorder Among Iraq and Afghanistan Combat Veterans.

    Science.gov (United States)

    Goetter, Elizabeth M; Bui, Eric; Ojserkis, Rebecca A; Zakarian, Rebecca J; Brendel, Rebecca Weintraub; Simon, Naomi M

    2015-10-01

    A significant number of veterans of the conflicts in Iraq and Afghanistan have posttraumatic stress disorder (PTSD), yet underutilization of mental health treatment remains a significant problem. The purpose of this review was to summarize rates of dropout from outpatient, psychosocial PTSD interventions provided to U.S. Operation Iraqi Freedom (OIF), Operation Enduring Freedom (OEF), and Operation New Dawn (OND) veterans with combat-related PTSD. There were 788 articles that were identified which yielded 20 studies involving 1,191 individuals eligible for the review. The dropout rates in individual studies ranged from 5.0% to 78.2%, and the overall pooled dropout rate was 36%, 95% CI [26.20, 43.90]. The dropout rate differed marginally by study type (routine clinical care settings had higher dropout rates than clinical trials) and treatment format (group treatment had higher dropout rates than individual treatment), but not by whether comorbid substance dependence was excluded, by treatment modality (telemedicine vs. in-person treatment), or treatment type (exposure therapy vs. nonexposure therapy). Dropout is a critical aspect of the problem of underutilization of care among OEF/OIF/OND veterans with combat-related PTSD. Innovative strategies to enhance treatment retention are needed. Copyright © 2015 Wiley Periodicals, Inc., A Wiley Company.

  17. Reducing routine vaccination dropout rates: evaluating two interventions in three Kenyan districts, 2014

    Directory of Open Access Journals (Sweden)

    Adam Haji

    2016-02-01

    Full Text Available Abstract Background Globally, vaccine preventable diseases are responsible for nearly 20 % of deaths annually among children 5 km from health facility (OR 1.6, CI 1.0–2.7 were associated with higher odds of dropping out. Those who received text messages were less likely to drop out compared to controls (OR 0.2, CI 0.04–0.8. There was no statistical difference between those who received stickers and controls (OR 0.9, CI 0.5–1.6. Conclusion Text message reminders can reduce vaccination dropout rates in Kenya. We recommend the extended implementation of text message reminders in routine vaccination services.

  18. Early dropout predictive factors in obesity treatment.

    Science.gov (United States)

    Michelini, Ilaria; Falchi, Anna Giulia; Muggia, Chiara; Grecchi, Ilaria; Montagna, Elisabetta; De Silvestri, Annalisa; Tinelli, Carmine

    2014-02-01

    Diet attrition and failure of long term treatment are very frequent in obese patients. This study aimed to identify pre-treatment variables determining dropout and to customise the characteristics of those most likely to abandon the program before treatment, thus making it possible to modify the therapy to increase compliance. A total of 146 outpatients were consecutively enrolled; 73 patients followed a prescriptive diet while 73 followed a novel brief group Cognitive Behavioural Treatment (CBT) in addition to prescriptive diet. The two interventions lasted for six months. Anthropometric, demographic, psychological parameters and feeding behaviour were assessed, the last two with the Italian instrument VCAO Ansisa; than, a semi-structured interview was performed on motivation to lose weight. To identify the baseline dropout risk factors among these parameters, univariate and multivariate logistic models were used. Comparison of the results in the two different treatments showed a higher attrition rate in CBT group, despite no statistically significant difference between the two treatment arms (P = 0.127). Dropout patients did not differ significantly from those who did not dropout with regards to sex, age, Body Mass Index (BMI), history of cycling, education, work and marriage. Regardless of weight loss, the most important factor that determines the dropout appears to be a high level of stress revealed by General Health Questionnaire-28 items (GHQ-28) score within VCAO test. The identification of hindering factors during the assessment is fundamental to reduce the dropout risk. For subjects at risk, it would be useful to dedicate a stress management program before beginning a dietary restriction.

  19. Theoretical and methodological considerations to investigate school dropout

    Directory of Open Access Journals (Sweden)

    Román Hernández –Dávila

    2017-07-01

    Full Text Available This work offers an exhaustive analysis of different authors and studies– falling under general and methodological criteria – of the reasons responsible for school dropouts, predominantly in vulnerable areas. To do so it is necessary to reflect on the problem with the intention of identifying the contributing factors. In these situations, various elements come into play, ranging from the organization of education systems, application of public policies, social conditions, the individual’s situation, health, the psychological and emotional impact, as well as the cultural patterns that may in compass the minor’s family, student-teacher relationship and school management. As an addition, a series of useful proposals is offered in bringing about change in the educational sector, focused on the reducing of school dropouts. It is assumed that research about dropouts should be undertaken from a qualitative concept, with hermeneutical characteristics, that allow the phenomenon under study to be interpreted reliably. This methodological basis has ethnographic foundations since it requires the reviewing of specific aspects of the socio cultural context present in the factors subject to investigation. Works of this nature should identify the determinants of school dropouts in a specific line of inquiry, describe them, and generate a database that displays the indicators of the causes that create this phenomenon.

  20. Student Learning Motivation as a Mediator of the Relationship between Service Quality and Student Performance

    Science.gov (United States)

    Ibrahim, Hamdi H. M.

    2016-01-01

    Students look for evidence of service quality when selecting a university to attend. Student dissatisfaction with the quality of service may reduce student motivation in online higher-education settings, and low levels of motivation may lead to inferior student performance and a persistently high dropout rate. The purpose of this quantitative,…

  1. Medical school dropout - testing at admission versus selection by highest grades as predictors

    DEFF Research Database (Denmark)

    O'Neill, Lotte; Hartvigsen, Jan; Wallstedt, Birgitta

    2011-01-01

    Medical Education 2011: 45: 1111-1120 Context  Very few studies have reported on the effect of admission tests on medical school dropout. The main aim of this study was to evaluate the predictive validity of non-grade-based admission testing versus grade-based admission relative to subsequent...... took a composite non-grade-based admission test (Strategy 2). Educational as well as social predictor variables (doctor-parent, origin, parenthood, parents living together, parent on benefit, university-educated parents) were also examined. The outcome of interest was students' dropout status at 2...... appeared to have an independent, protective effect on dropout in this setting....

  2. Can use of healthcare services among 15-16-year-olds predict an increased level of high school dropout? A longitudinal community study.

    Science.gov (United States)

    Homlong, Lisbeth; Rosvold, Elin O; Haavet, Ole R

    2013-09-19

    To study associations between healthcare seeking in 15-16-year-olds and high school dropout 5 years later. Longitudinal community study. Data from a comprehensive youth health survey conducted in 2000-2004, linked to data from national registries up to 2010. 13 964 10th grade secondary school students in six Norwegian counties. Logistic regression was used to compute ORs for high school dropout. The total proportion of students not completing high school 5 years after registering was 29% (girls 24%, boys 34%). Frequent attenders to school health services and youth health clinics at age 15-16 years had a higher dropout rate (37/48% and 45/71%), compared with those with no or moderate use. Adolescents referred to mental health services were also more likely to drop out (47/62%). Boys with moderate use of a general practitioner (GP) had a lower dropout rate (30%). A multiple logistic regression analysis, in which we adjusted for selected health indicators and sociodemographic background variables, revealed that seeking help from the youth health clinic and consulting mental health services, were associated with increased level of high school dropout 5 years later. Frequent attenders (≥4 contacts) had the highest odds of dropping out. Yet, boys who saw a GP and girls attending the school health services regularly over the previous year were less likely than their peers to drop out from high school. Adolescents who seek help at certain healthcare services can be at risk of dropping out of high school later. Health workers should pay particular attention to frequent attenders and offer follow-up when needed. However, boys who attended a GP regularly were more likely to continue to high school graduation, which may indicate a protective effect of having a regular and stable relationship with a GP.

  3. Meta-analysis of Dropout in Treatments for Post-traumatic Stress Disorder

    Science.gov (United States)

    Imel, Zac E.; Laska, Kevin; Jakcupcak, Matthew; Simpson, Tracy L.

    2013-01-01

    Objective Many patients dropout of treatments for Post-traumatic stress disorder (PTSD) and some clinicians believe that ‘trauma focused’ treatments increase dropout. Method We conducted a meta-analysis of dropout among active treatments in clinical trials for PTSD (42 studies; 17 direct comparisons). Results The average dropout rate was 18%, but it varied significantly across studies. Group modality and greater number of sessions, but not trauma focus, predicted increased dropout. When the meta-analysis was restricted to direct comparisons of active treatments, there were no differences in dropout. Differences in trauma focus between treatments in the same study did not predict dropout. However, trauma focused treatments resulted in higher dropout as compared to Present Centered Therapy (PCT) – a treatment originally designed as a control, but now listed as a research supported intervention for PTSD. Conclusion Dropout varies between active interventions for PTSD across studies, but differences are primarily driven by differences between studies. There do not appear to be systematic differences across active interventions when they are directly compared in the same study. The degree of clinical attention placed on the traumatic event does not appear to be a primary cause of dropout from active treatments. However comparisons of PCT may be an exception to this general pattern, perhaps due to a restriction of variability in trauma focus among comparisons of active treatments. More research is needed comparing trauma focused interventions to trauma avoidant treatments such as PCT. PMID:23339535

  4. Mental health and school dropout across educational levels and genders: a 4.8-year follow-up study

    Directory of Open Access Journals (Sweden)

    Cathrine F. Hjorth

    2016-09-01

    Full Text Available Abstract Background Education is a key determinant of future employment and income prospects of young people. Poor mental health is common among young people and is related to risk of dropping out of school (dropout. Educational level and gender might play a role in the association, which remains to be studied. Methods Mental health was measured in 3146 Danish inhabitants aged 16–29 years using the 12-Item Short-Form Health Survey and examined across genders and educational levels. For students, educational level at baseline was used; for young people who were not enrolled in school at baseline (non-students, the highest achieved educational level was used. The risk of dropout in students was investigated in administrative registers over a 4.8–year period (1st March 2010–31th December 2014. Odds ratios (OR and 95 % confidence intervals (CI were calculated for mental health and in relation to dropout in logistic regression models, adjusting for age, gender, educational level, parental education, parental income and ethnicity. Results Poor mental health was present in 24 % (n = 753 of the participants, 29 % (n = 468 in females and 19 % (n = 285 in males (p < 0.0001. The prevalence differed from 19 to 39 % across educational levels (p < 0.0001. Females had a statistically significantly higher adjusted risk of poor mental health than males (OR = 1.8, CI = 1.5–2.2. Among the students the lowest risk was found at the elementary level (OR = 1.3, CI = 0.8–2.3, while students in higher education had a statistically significantly higher risk (OR = 1.9, CI = 1.2–2.9. The lowest-educated non-students had the highest OR of poor mental health (OR = 3.3, CI = 2.1–5.4. Dropout occurred in 8 % (n = 124 of the students. Poor mental health was associated to dropout in vocational (OR = 1.8, CI = 1.0–3.2 and higher education (OR = 2.0, CI = 1.0–4.2. For males in higher

  5. Model-Free Adaptive Control Algorithm with Data Dropout Compensation

    Directory of Open Access Journals (Sweden)

    Xuhui Bu

    2012-01-01

    Full Text Available The convergence of model-free adaptive control (MFAC algorithm can be guaranteed when the system is subject to measurement data dropout. The system output convergent speed gets slower as dropout rate increases. This paper proposes a MFAC algorithm with data compensation. The missing data is first estimated using the dynamical linearization method, and then the estimated value is introduced to update control input. The convergence analysis of the proposed MFAC algorithm is given, and the effectiveness is also validated by simulations. It is shown that the proposed algorithm can compensate the effect of the data dropout, and the better output performance can be obtained.

  6. So Close, yet So Far Away: Early vs. Late Dropouts

    Science.gov (United States)

    Ma, Yanli; Cragg, Kristina M.

    2013-01-01

    While some students drop out early in their academic career, others drop out close to completion. What similarities and differences exist between these early and late dropouts? Using a sample 3,520 first-time, full-time (FTFT) students seeking a bachelor's degree at a state university, this study employs multinomial logistic regression to model…

  7. Improving quantitative structure-activity relationship models using Artificial Neural Networks trained with dropout.

    Science.gov (United States)

    Mendenhall, Jeffrey; Meiler, Jens

    2016-02-01

    Dropout is an Artificial Neural Network (ANN) training technique that has been shown to improve ANN performance across canonical machine learning (ML) datasets. Quantitative Structure Activity Relationship (QSAR) datasets used to relate chemical structure to biological activity in Ligand-Based Computer-Aided Drug Discovery pose unique challenges for ML techniques, such as heavily biased dataset composition, and relatively large number of descriptors relative to the number of actives. To test the hypothesis that dropout also improves QSAR ANNs, we conduct a benchmark on nine large QSAR datasets. Use of dropout improved both enrichment false positive rate and log-scaled area under the receiver-operating characteristic curve (logAUC) by 22-46 % over conventional ANN implementations. Optimal dropout rates are found to be a function of the signal-to-noise ratio of the descriptor set, and relatively independent of the dataset. Dropout ANNs with 2D and 3D autocorrelation descriptors outperform conventional ANNs as well as optimized fingerprint similarity search methods.

  8. A review of mental health treatment dropout by ethnic minority youth.

    Science.gov (United States)

    de Haan, Anna M; Boon, Albert E; de Jong, Joop T V M; Vermeiren, Robert R J M

    2018-02-01

    A large proportion of treatments in youth mental health care are prematurely terminated by the patient. Treatment dropout can have severe consequences. Since ethnic minority youth are treated less often for mental disorders than other youth, it is important to analyse their risk for dropout and to determine if there are ethnicity-specific determinants. This review aimed to provide an overview of the findings from empirical studies on child and adolescent therapy dropout by ethnic minority and to determine if there were ethnicity-specific dropout determinants. An extensive literature search was performed to locate relevant journal articles. Identified articles were inspected for relevant references and these articles were then included in the meta-analysis. A total of 27 studies were accepted for analysis. The results showed that ethnic minority patients have a higher risk of treatment dropout than ethnic majority patients and that dropout rates are ethnically specific. Several differences in dropout predictors among the ethnic groups were found. In spite of diverse results, review limitations, and the lack of several key variables in the available research, some clinical recommendations are made. The review indicates that to prevent dropout, therapists should pay attention to variables such as ethnic background, therapist-patient ethnic match, and the quality of the therapeutic relationship.

  9. Cigarette Smoking Trajectories From Sixth to Twelfth Grade: Associated Substance Use and High School Dropout.

    Science.gov (United States)

    Orpinas, Pamela; Lacy, Beth; Nahapetyan, Lusine; Dube, Shanta R; Song, Xiao

    2016-02-01

    The purpose of this longitudinal study was to identify distinct trajectories of cigarette smoking from sixth to twelfth grade and to characterize these trajectories by use of other drugs and high school dropout. The diverse sample for this analysis consisted of a cohort of 611 students from Northeast Georgia who participated in the Healthy Teens Longitudinal Study (2003-2009). Students completed seven yearly assessments from sixth through twelfth grade. We used semi-parametric, group-based modeling to identify groups of students whose smoking behavior followed a similar progression over time. Current smoking (past 30 day) increased from 6.9% among sixth graders to 28.8% among twelfth graders. Four developmental trajectories of cigarette smoking were identified: Abstainers/Sporadic Users (71.5% of the sample), Late Starters (11.3%), Experimenters (9.0%), and Continuous Users (8.2%). The Abstainer/Sporadic User trajectory was composed of two distinct groups: those who never reported any tobacco use (True Abstainers) and those who reported sporadic, low-level use (Sporadic Users). The True Abstainers reported significantly less use of alcohol and other drugs and lower dropout rates than students in all other trajectories, and Sporadic Users had worse outcomes than True Abstainers. Experimenters and Continuous Users reported the highest drug use. Over one-third of Late Starters (35.8%) and almost half of Continuous Users (44.4%) dropped out of high school. Cigarette smoking was associated with behavioral and academic problems. Results support early and continuous interventions to reduce use of tobacco and other drugs and prevent high school dropout. © The Author 2015. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

  10. Treatment dropout in web-based cognitive behavioral therapy for patients with eating disorders.

    Science.gov (United States)

    Ter Huurne, Elke D; Postel, Marloes G; de Haan, Hein A; van der Palen, Job; DeJong, Cor A J

    2017-01-01

    Treatment dropout is an important concern in eating disorder treatments as it has negative implications for patients' outcome, clinicians' motivation, and research studies. Our main objective was to conduct an exploratory study on treatment dropout in a two-part web-based cognitive behavioral therapy with asynchronous therapeutic support. The analysis included 205 female patients with eating disorders. Reasons for dropout, treatment experiences, and predictors of dropout were analyzed. Overall treatment dropout was 37.6%, with 18.5% early dropout (before or during treatment part 1) and 19.0% late dropout (after part 1 or during part 2). Almost half of the participants identified personal circumstances as reason for dropout. The other participants mostly reported reasons related to the online delivery or treatment protocol. Predictors of early dropout included reporting less vigor and smoking at baseline and a longer average duration per completed treatment module of part 1. Late dropout was predicted by reporting less vigor at baseline and uncertainty about recommendation of the treatment to others after completion of treatment part 1. Generally, the web-based treatment and online therapeutic support were evaluated positively, although dropouts rated the treatment as significantly less helpful and effective than completers did. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

  11. Individual, social, and family factors associated with high school dropout among low-SES youth: Differential effects as a function of immigrant status.

    Science.gov (United States)

    Archambault, Isabelle; Janosz, Michel; Dupéré, Véronique; Brault, Marie-Christine; Andrew, Marie Mc

    2017-09-01

    In most Western countries, the individual, social, and family characteristics associated with students' dropout in the general population are well documented. Yet, there is a lack of large-scale studies to establish whether these characteristics have the same influence for students with an immigrant background. The first aim of this study was to assess the differences between first-, second-, and third-generation-plus students in terms of the individual, social, and family factors associated with school dropout. Next, we examined the differential associations between these individual, social, and family factors and high school dropout as a function of students' immigration status. Participants were 2291 students (54.7% with an immigrant background) from ten low-SES schools in Montreal (Quebec, Canada). Individual, social, and family predictors were self-reported by students in secondary one (mean age = 12.34 years), while school dropout status was obtained five or 6 years after students were expected to graduate. Results of logistic regressions with multiple group latent class models showed that first- and second-generation students faced more economic adversity than third-generation-plus students and that they differed from each other and with their native peers in terms of individual, social, and family risk factors. Moreover, 40% of the risk factors considered in this study were differentially associated with first-, second-, and third-generation-plus students' failure to graduate from high school. These results provide insights on immigrant and non-immigrant inner cities' students experiences related to school dropout. The implications of these findings are discussed. © 2017 The British Psychological Society.

  12. Dropout Phenomena at Universities

    DEFF Research Database (Denmark)

    Larsen, Michael Søgaard; Kornbeck, Kasper Pihl; Kristensen, Rune

    Dropout from university studies comprises a number of complex phenomena with serious complex consequences and profound political attention. Further analysis of the field is, therefore, warranted. Such an analysis is offered here as a systematic review which gives answers based on the best possible...... such dropout phenomena occur at universities? What can be done by the universities to prevent or reduce such dropout phenomena?...

  13. Dropout Prevention in Middle and High Schools: From Research to Practice

    Science.gov (United States)

    Wilkins, Julia; Bost, Loujeania Williams

    2016-01-01

    Based on work with state and local education agencies in dropout prevention for students with disabilities, successful research-based interventions are described along with details of how these interventions have been implemented in middle and high schools across the country. The interventions that have helped students with disabilities graduate…

  14. Reducing routine vaccination dropout rates: evaluating two interventions in three Kenyan districts, 2014.

    Science.gov (United States)

    Haji, Adam; Lowther, S; Ngan'ga, Z; Gura, Z; Tabu, C; Sandhu, H; Arvelo, Wences

    2016-02-16

    Globally, vaccine preventable diseases are responsible for nearly 20% of deaths annually among children education [Odds Ratio (OR) 1.8, 95% Confidence Interval (CI) 1.1-3.2], and residing >5 km from health facility (OR 1.6, CI 1.0-2.7) were associated with higher odds of dropping out. Those who received text messages were less likely to drop out compared to controls (OR 0.2, CI 0.04-0.8). There was no statistical difference between those who received stickers and controls (OR 0.9, CI 0.5-1.6). Text message reminders can reduce vaccination dropout rates in Kenya. We recommend the extended implementation of text message reminders in routine vaccination services.

  15. School Location, School Section and Students' Gender as Predictors to Secondary School Dropout Rate in Rivers State, Nigeria

    Science.gov (United States)

    Christian, Mathew

    2015-01-01

    This study was undertaken to underscore the extent the variables of school location, students' gender and school section can predict the rate of drop out of secondary school students. Ex post facto design was adopted and all data on students' enrollment, retention and completion were collected from available schools' records for two cohorts of…

  16. Can Social-Emotional Learning Reduce School Dropout in Developing Countries?

    Science.gov (United States)

    Wang, Huan; Chu, James; Loyalka, Prashant; Xin, Tao; Shi, Yaojiang; Qu, Qinghe; Yang, Chu

    2016-01-01

    An alarming number of students drop out of junior high school in developing countries. In this study, we examine the impacts of providing a social-emotional learning (SEL) program on the dropout behavior and learning anxiety of students in the first two years of junior high. We do so by analyzing data from a randomized controlled trial involving…

  17. Building a Grad Nation: Progress and Challenge in Ending the High School Dropout Epidemic. Annual Update, 2013

    Science.gov (United States)

    Balfanz, Robert; Bridgeland, John M.; Bruce, Mary; Fox, Joanna Hornig

    2013-01-01

    This fourth annual update on America's high school dropout crisis shows that for the first time the nation is on track to meet the goal of a 90 percent high school graduation rate by the Class of 2020--if the pace of improvement from 2006 to 2010 is sustained over the next 10 years. The greatest gains have occurred for the students of color and…

  18. How can we strengthen students’ social relations in order to reduce school dropout?

    DEFF Research Database (Denmark)

    Ingholt, Liselotte; Sørensen, Betina Bang; Andersen, Susan

    2015-01-01

    on ethnographic methods, including 22 qualitative interviews with students 17-19 years old and fieldwork with participant observations at four vocational schools over 40 days, including informal interviews and discussion meetings with managers, teachers, counselors and students. As part of the fieldwork, four......BACKGROUND: This article describes the rationale and contents of an intervention program aimed at strengthening students' social relations in order to reduce dropout from vocational schools in Denmark. Taking its theoretical cue from the concept of 'social participation', a qualitative study...... was performed to investigate the specific relationships between the social environment within the schools and the institutional structures in order to analyse reasons for school dropout and their relation to well-being, cigarette smoking and substance use. METHODS: The development study was based...

  19. Psychosocial risk and protective factors of secondary school dropout in Luxembourg: the protocol of an exploratory case-control study.

    Science.gov (United States)

    Esch, Pascale; Bocquet, Valéry; Pull, Charles; Couffignal, Sophie; Graas, Marc; Lair, Marie-Lise; Lehnert, Torsten; Fond-Harmant, Laurence; Ansseau, Marc

    2011-07-13

    In Luxembourg, the extensive phenomenon of school dropout is a prime policy concern in the light of individual, social and economic consequences. Although the authorities report an overall decrease of the national dropout rate, the proportion of early school leavers who remain without any specific occupation is still alarming. Therefore, this study intends a shift of focus from system-inherent to individual factors, including mental health and family correlates, to provide a more comprehensive analysis of the dropout phenomenon. The objectives of this study are to investigate the type and prevalence of psychiatric disorders among school dropouts and to compare the findings with those by a matched control group of regularly enrolled students. Furthermore, family variables and socioeconomic status will be analysed, as they are factors likely to interfere with both educational attainment and mental health. A trained psychologist will use structured interviews and self-report forms to investigate for mental health issues, information on schooling, socioeconomic situation and family life. Controls will be matched for gender, age, school type and educational grade. As school dropouts face a serious risk of long term professional and social marginalization, there is an evident need for action. Identifying psychosocial risk and protective factors of school dropout will deliver solid insight on how to conceive public health strategies for young people who may need a more customized support to carry out their academic potential. ClinicalTrials.gov Identifier: NCT01354236.

  20. A Review of Recruitment, Adherence and Drop-Out Rates in Omega-3 Polyunsaturated Fatty Acid Supplementation Trials in Children and Adolescents

    NARCIS (Netherlands)

    Van der Wurff, Inge; Meyer, Barbara; De Groot, Renate

    2017-01-01

    Introduction: The influence of n-3 long-chain polyunsaturated fatty acids (n-3 LCPUFA) supplementation on health outcomes has been studied extensively with randomized controlled trials (RCT). In many research fields, difficulties with recruitment, adherence and high drop-out rates have been

  1. Integrated, exposure-based treatment for PTSD and comorbid substance use disorders: Predictors of treatment dropout.

    Science.gov (United States)

    Szafranski, Derek D; Snead, Alexandra; Allan, Nicholas P; Gros, Daniel F; Killeen, Therese; Flanagan, Julianne; Pericot-Valverde, Irene; Back, Sudie E

    2017-10-01

    High rates of comorbid posttraumatic stress disorder (PTSD) and substance use disorders (SUD) have been noted in veteran populations. Fortunately, there are a number of evidence-based psychotherapies designed to address comorbid PTSD and SUD. However, treatments targeting PTSD and SUD simultaneously often report high dropout rates. To date, only one study has examined predictors of dropout from PTSD/SUD treatment. To address this gap in the literature, this study aimed to 1) examine when in the course of treatment dropout occurred, and 2) identify predictors of dropout from a concurrent treatment for PTSD and SUD. Participants were 51 male and female veterans diagnosed with current PTSD and SUD. All participants completed at least one session of a cognitive-behavioral treatment (COPE) designed to simultaneously address PTSD and SUD symptoms. Of the 51 participants, 22 (43.1%) dropped out of treatment prior to completing the full 12 session COPE protocol. Results indicated that the majority of dropout (55%) occurred after session 6, with the largest amount of dropout occurring between sessions 9 and 10. Results also indicated a marginally significant relationship between greater baseline PTSD symptom severity and premature dropout. These findings highlight inconsistencies related to timing and predictors of dropout, as well as the dearth of information noted about treatment dropout within PTSD and SUD literature. Suggestions for procedural changes, such as implementing continual symptom assessments during treatment and increasing dialog between provider and patient about dropout were made with the hopes of increasing consistency of findings and eventually reducing treatment dropout. Published by Elsevier Ltd.

  2. Efficient batchwise dropout training using submatrices

    OpenAIRE

    Graham, Ben; Reizenstein, Jeremy; Robinson, Leigh

    2015-01-01

    Dropout is a popular technique for regularizing artificial neural networks. Dropout networks are generally trained by minibatch gradient descent with a dropout mask turning off some of the units---a different pattern of dropout is applied to every sample in the minibatch. We explore a very simple alternative to the dropout mask. Instead of masking dropped out units by setting them to zero, we perform matrix multiplication using a submatrix of the weight matrix---unneeded hidden units are neve...

  3. Predicting Dropouts of University Freshmen: A Logit Regression Analysis.

    Science.gov (United States)

    Lam, Y. L. Jack

    1984-01-01

    Stepwise discriminant analysis coupled with logit regression analysis of freshmen data from Brandon University (Manitoba) indicated that six tested variables drawn from research on university dropouts were useful in predicting attrition: student status, residence, financial sources, distance from home town, goal fulfillment, and satisfaction with…

  4. Vocational training for students with a drop out risk: An alternative educational approach

    Directory of Open Access Journals (Sweden)

    Klara Rokkones

    2016-09-01

    Full Text Available A dropout discourse has emerged; highlighting the economic risk that leaving secondary school before graduation poses to those who drop out and to society as a whole. Many initiatives aim to reduce the dropout rate. One such project, “The Third Way”, was established in 2012 with the aim of reducing dropouts in one secondary school among students on a vocational track - particularly in the programs Restaurant and food-processing and Health care, childhood and youth development. We have followed this project for two years through classroom observation and interviews with teachers and school management. "The Third Way" works at the interfaces of students, teachers, schools, and in cooperation with workplaces connected to the students’ vocational training in practical studies. Based on our analyses we see that flexibility among all actors in alternative vocational education, both in school and workplace practice, is crucial for the reduction of dropout rates. By adapting the curriculum within these alternative structures, we see that at-risk students have an increased likelihood of finishing their secondary education.

  5. Stressors and Turning Points in High School and Dropout: A Stress Process, Life Course Framework

    Science.gov (United States)

    Dupéré, Véronique; Leventhal, Tama; Dion, Eric; Crosnoe, Robert; Archambault, Isabelle; Janosz, Michel

    2015-01-01

    High school dropout is commonly seen as the result of a long-term process of failure and disengagement. As useful as it is, this view has obscured the heterogeneity of pathways leading to dropout. Research suggests, for instance, that some students leave school not as a result of protracted difficulties but in response to situations that emerge…

  6. Therapist effects on dropout from a college counseling center practice research network.

    Science.gov (United States)

    Xiao, Henry; Castonguay, Louis G; Janis, Rebecca A; Youn, Soo Jeong; Hayes, Jeffrey A; Locke, Benjamin D

    2017-07-01

    Dropout has been a pervasive and costly problem in psychotherapy, particularly for college counseling centers. The present study examined potential predictors of dropout using a large data set (N = 10,147 clients, 481 therapists) that was gathered through a college counseling center practice research network as a replication and extension of recent findings regarding therapist effects on dropout. The final model resulted in a dropout rate of 15.9% and a therapist effect of 9.51% on dropout variance. Therapist demographic variables were investigated, though none were found to be significant. Variables found to be predictive of increased likelihood of dropping out included higher levels of general presenting concerns, alcohol-related distress, and current financial stress. Ultimately, this study showed that therapists may play an important role in the likelihood of client dropout, and that additional research should be conducted to identify additional predictors, particularly at the therapist and center level. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

  7. GENDER STEREOTYPES IN THE SCHOOL DROPOUT: CASE EL FUERTE, SINALOA

    Directory of Open Access Journals (Sweden)

    Rosalva Ruíz-Ramírez

    2014-07-01

    Full Text Available Gender stereotypes are accepted preconceptions of what should be a man and a woman. Affect all areas of life, in the relationships that stablished in the family and the school. Within education, these stereotypes are reflected in the access, retention and completion of education degrees, as well as the area of study that preferred the women and men. They also have different effects on the causes of dropout depending on the gender to which they belong. This article aims to show the influence of gender stereotypes on dropout students and high school students in rural areas, specifically in three schools located in the municipality of El Fuerte, Sinaloa, the academic unit (AU San Blas and its extensions La Constancia and Las Higueras of Los Natoches. The results were obtained through a wider investigation in 2013.

  8. Taking the Easy Way Out: How the GED Testing Program Induces Students to Drop Out

    Science.gov (United States)

    Heckman, James J.; Humphries, John Eric; LaFontaine, Paul A.; Rodríguez, Pedro L.

    2011-01-01

    The option to obtain a General Education Development (GED) certificate changes the incentives facing high school students. This paper evaluates the effect of three different GED policy innovations on high school graduation rates. A six point decrease in the GED pass rate due to an increase in passing standards produced a 1.3 point decline in overall dropout rates. The introduction of a GED certification program in high schools in Oregon produced a four percent decrease in graduation rates. Introduction of GED certificates in California increased dropout rates by 3 points. The GED program induces high school students to drop out. PMID:24634564

  9. Dropout from exercise randomized controlled trials among people with depression: A meta-analysis and meta regression.

    Science.gov (United States)

    Stubbs, Brendon; Vancampfort, Davy; Rosenbaum, Simon; Ward, Philip B; Richards, Justin; Soundy, Andrew; Veronese, Nicola; Solmi, Marco; Schuch, Felipe B

    2016-01-15

    Exercise has established efficacy in improving depressive symptoms. Dropouts from randomized controlled trials (RCT's) pose a threat to the validity of this evidence base, with dropout rates varying across studies. We conducted a systematic review and meta-analysis to investigate the prevalence and predictors of dropout rates among adults with depression participating in exercise RCT's. Three authors identified RCT's from a recent Cochrane review and conducted updated searches of major electronic databases from 01/2013 to 08/2015. We included RCT's of exercise interventions in people with depression (including major depressive disorder (MDD) and depressive symptoms) that reported dropout rates. A random effects meta-analysis and meta regression were conducted. Overall, 40 RCT's were included reporting dropout rates across 52 exercise interventions including 1720 people with depression (49.1 years (range=19-76 years), 72% female (range=0-100)). The trim and fill adjusted prevalence of dropout across all studies was 18.1% (95%CI=15.0-21.8%) and 17.2% (95%CI=13.5-21.7, N=31) in MDD only. In MDD participants, higher baseline depressive symptoms (β=0.0409, 95%CI=0.0809-0.0009, P=0.04) predicted greater dropout, whilst supervised interventions delivered by physiotherapists (β=-1.2029, 95%CI=-2.0967 to -0.3091, p=0.008) and exercise physiologists (β=-1.3396, 95%CI=-2.4478 to -0.2313, p=0.01) predicted lower dropout. A comparative meta-analysis (N=29) established dropout was lower in exercise than control conditions (OR=0.642, 95%CI=0.43-0.95, p=0.02). Exercise is well tolerated by people with depression and drop out in RCT's is lower than control conditions. Thus, exercise is a feasible treatment, in particular when delivered by healthcare professionals with specific training in exercise prescription. Copyright © 2015 Elsevier B.V. All rights reserved.

  10. Relationships between Parenting Practices, Social Engagement, Academic Competency, and High School Dropout

    Science.gov (United States)

    Bedrossian, Alfred

    2017-01-01

    The purpose of this study was to investigate the relationships between parenting practices, social engagement, academic competency, and high school dropout. The study revealed students whose parents practiced Reactive Communication along with students that exhibited Truancy and Disciplinary Issues were more likely to drop out. Conversely, students…

  11. Predicting dropout in outpatient dialectical behavior therapy with patients with borderline personality disorder receiving psychiatric disability.

    Science.gov (United States)

    Landes, Sara J; Chalker, Samantha A; Comtois, Katherine Anne

    2016-01-01

    Rates of treatment dropout in outpatient Dialectical Behavior Therapy (DBT) in the community can be as high as 24 % to 58 %, making dropout a great concern. The primary purpose of this article was to examine predictors of dropout from DBT in a community mental health setting. Participants were 56 consumers with borderline personality disorder (BPD) who were psychiatrically disabled participating in a larger feasibility trial of Dialectical Behavior Therapy- Accepting the Challenges of Exiting the System. The following variables were examined to see whether they predicted dropout in DBT: age, education level, baseline level of distress, baseline level of non-acceptance of emotional responses, and skills module in which a consumer started DBT skills group. These variables were chosen based on known predictors of dropout in consumers with BPD and in DBT, as well as an interest in what naturally occurring variables might impact dropout. The dropout rate in this sample was 51.8 %. Results of the logistic regression show that younger age, higher levels of baseline distress, and a higher level of baseline non-acceptance of emotional responses were significantly associated with dropout. The DBT skills module in which an individual started group did not predict dropout. The implications of these findings are that knowledge of consumer age and pretreatment levels of distress and non-acceptance of emotional responses can impact providers' choice of commitment and treatment strategies to reduce dropout. Future research should examine these strategies, as well as the impact of predictor variables on outcome and reasons for dropout.

  12. Factors Influencing Students' Attrition at Sultan Qaboos University (SQU)

    Science.gov (United States)

    Al Ghanboosi, Salim Saleen

    2013-01-01

    The students' attrition rates among students enrolled at SQU ranged between 6.8% (1998), 7.8% (1999), and 7.9% (2000). However, the drop-out rate at the Sultan Qaboos University is increasing gradually, and this increase represents a problem for the university that provides free education and financial aid for all male students coming from areas…

  13. An Analysis of the Relationship between Implementation of School-Wide Positive Behavior Interventions and Supports and High School Dropout Rates

    Science.gov (United States)

    Freeman, Jennifer; Simonsen, Brandi; McCoach, D. Betsy; Sugai, George; Lombardi, Allison; Horner, Rob

    2015-01-01

    The purpose of this study was to explore the direct and indirect effects of SWPBIS on high school dropout rates. We used structural equation modeling methods to analyze the web of relationships among important high school level outcomes and SWPBIS in a large sample of high schools from 37 states. Results suggest that SWPBIS has statistically…

  14. Towards peer education prevention of school dropout: An exploratory analysis of an action-research study

    Directory of Open Access Journals (Sweden)

    Colucci Gabriella

    2017-01-01

    Full Text Available This paper presents the exploratory analysis of an action-research into dropout prevention in an Italian secondary school. By taking into account the representations of teachers, students and parents, different activities of peer education have been implemented during the school year in a city of Sardinia in order to promote school success. The study is based on a mixed-methods design, including focus groups with teachers, students and parents, as well as classroom observations. The action-research consists of different interventions: firstly, the participants’ representations of school dropout have been collected; then, a specific program of peer education has been proposed through activities of role-playing, simulations, brainstorming, and improvement of life skills (during training meetings with the participants. Thereafter, the action-research has been qualitatively analysed, with the findings indicating possible directions of re-creating school practices that could have potential benefits in preventing dropout.

  15. DETERMINANT FACTORS FOR UNDERGRADUATE STUDENT’S DROPOUT IN AN ACCOUNTING STUDIES DEPARTMENT OF A BRAZILIAN PUBLIC UNIVERSITY

    Directory of Open Access Journals (Sweden)

    Samuel de Oliveira Durso

    2018-05-01

    Full Text Available ABSTRACT: The purpose of this article was to identify explanatory factors for undergraduate student’s dropout from the Accounting program of a Brazilian public university. The theoretical platform that guided the study was formulated using three evasion models related to higher education. The survey database consisted of socioeconomic and demographic information of 371 students. The research used quantitative and qualitative methodologies to reach the proposed goal. Quantitative data analysis was performed through logistic regression. The model proposed by the study was able to accurately predict 77% of the cases of dropout/completion from the sample. The qualitative step was based on five semi-structured interviews with those in the sample who dropped out of their studies. The findings of the research have helped understand the phenomenon of undergraduate student dropout from the Accounting program and stresses the importance of rethinking public policies for the retention of talent and, especially, of those students who depend on their work to maintain their studies.

  16. A meta-analysis of the effects of dropout prevention programs on school absenteeism.

    Science.gov (United States)

    Tanner-Smith, Emily E; Wilson, Sandra Jo

    2013-10-01

    This study reports findings from a systematic review and meta-analysis of literature examining the effects of school dropout prevention and intervention programs on students' school absenteeism outcomes. The meta-analysis synthesized 74 effect sizes measuring posttest differences in school absenteeism outcomes for youth enrolled in dropout prevention programs relative to a comparison group. Although results from randomized controlled trials indicated significant beneficial program effects, findings from quasi-experimental studies indicated no significant beneficial or detrimental effects. Examination of study characteristics suggested that dropout programs may have beneficial effects on school absenteeism among primarily male samples, and younger samples. Although no single type of intervention program was consistently more effective than others, vocational oriented and supplemental academic training programs showed some promise. However, the inconsistency in results and the possibility of small study bias mean the quality of evidence in this literature is low; at this time there is not enough evidence to conclude that dropout prevention programs have a universal impact on youth's school absenteeism outcomes.

  17. On the Inductive Bias of Dropout

    OpenAIRE

    Helmbold, David P.; Long, Philip M.

    2014-01-01

    Dropout is a simple but effective technique for learning in neural networks and other settings. A sound theoretical understanding of dropout is needed to determine when dropout should be applied and how to use it most effectively. In this paper we continue the exploration of dropout as a regularizer pioneered by Wager, et.al. We focus on linear classification where a convex proxy to the misclassification loss (i.e. the logistic loss used in logistic regression) is minimized. We show: (a) when...

  18. Evidence on Dropout Phenomena at Universities

    DEFF Research Database (Denmark)

    Larsen, Malene Rode; Sommersel, Hanna Bjørnøy; Larsen, Michael Søgaard

    This publication is an excerpt from the full technical report ‘Dropout Phenomena at Universities: What is Dropout? Why does Dropout Occur? What Can be Done by the Universities to Prevent or Reduce it? A systematic review’, which was completed in April 2013. The purpose of this excerpt is to present...... the knowledge we have on dropout phenomena at European universities in a short, precise and comprehensible form to allow readers to orient themselves on the subject in a more readable manner....

  19. Experimental control of power dropouts by current modulation in a semiconductor laser with optical feedback

    International Nuclear Information System (INIS)

    Ticos, Catalin M; Andrei, Ionut R; Pascu, Mihail L; Bulinski, Mircea

    2011-01-01

    The injection current of an external-cavity semiconductor laser working in a regime of low-frequency fluctuations (LFFs) is modulated at several MHz. The rate of power dropouts in the laser emission is correlated with the amplitude and frequency of the modulating signal. The occurrence of dropouts becomes more regular when the laser is driven at 7 MHz, which is close to the dominant frequency of dropouts in the solitary laser. Driving the laser at 10 MHz also induces dropouts with a periodicity of 0.1 μs, resulting in LFFs with two dominant frequencies.

  20. Keeping Students on Track to Graduate: A Synthesis of School Dropout Trends, Prevention, and Intervention Initiatives

    Science.gov (United States)

    Ecker-Lyster, Meghan; Niileksela, Christopher

    2016-01-01

    This article reviews the literature on dropout trends, prevention, and intervention initiatives for school-aged children. Theoretical and consequential trends are highlighted to offer educators a perspective in which to view the dropout problem. This article also examines current trends in prevention and intervention initiatives aimed at reducing…

  1. Comparison of personal, social and academic variables related to University Dropout and Persistence

    Directory of Open Access Journals (Sweden)

    Ana B. Bernardo

    2016-10-01

    Full Text Available Dropping out of university has serious consequences not only for the student who drops out but also for the institution and society as a whole. Although this phenomenon has been widely studied, there is a need for broader knowledge of the context in which it occurs. Yet research on the subject often focuses on variables that, although they affect drop-out rates, lie beyond a university's control. This makes it hard to come up with effective preventive measures. That is why a northern Spanish university has undertaken a ex post facto holistic research study on 1,311 freshmen (2008/9, 2009/10 and 2010/11 cohorts. The study falls within the framework of the ALFA-GUIA European Project and focuses on those drop-out factors where there is scope for taking remedial measures. This research explored the possible relationship of degree dropout and different categories of variables: variables related to the educational stage prior to university entry (path to entry university and main reason for degree choice, variables related to integration and coexistence at university (social integration, academic integration, relationships with teachers/ peers and value of the living environment financial status and performance during university studies (in terms ofcompliance with the program, time devoted to study, use of study techniques and class attendance. Descriptive, correlational and variance analyses were conducted to discover which of these variables really distinguish those students who drop out from their peers who complete their studies. Results highlight the influence of vocation as main reason for degree choice, path to university entry, financial independency, social and academic adaptation, time devoted to study, use of study techniques and program compliance in the studied phenomenon.

  2. Factors associated with dropout in a group weight-loss programme: a longitudinal investigation.

    Science.gov (United States)

    Yackobovitch-Gavan, M; Steinberg, D M; Endevelt, R; Benyamini, Y

    2015-02-01

    Attrition is a major limitation of most weight management intervention programmes. The present study aimed to conduct an extensive investigation of personal, sociodemographic and treatment-related factors associated with attrition at different stages of a 10-week group weight-loss programme. The present study is part of a longitudinal, clinical intervention study comparing three conditions in a 10-week group programme: Control, Behavioural Intentions and Implementation Intentions. The study included 587 participants with a mean (SD) age of 46 (11) years (range 18-78 years) and a mean (SD) body mass index (BMI) of 31.9 (5.5) kg m(-2), with 90% being female. To characterise dropout in each week separately, as well as overall dropout (dropout until week 9, the median time of dropout), we tested several logistic regression models, including multiple imputations to cope with missing data. The results of the different dropout models consistently showed that a smaller reduction in BMI in the first 2 weeks of the programme was the strongest predictor of dropout. Dropout in the tenth and last week differed from the earlier weeks both in the relatively high dropout rate (56% of total dropout) and in that, in contrast to earlier weeks, the week 10 model included the reduction in BMI during the last 2 weeks before dropout but did not include the reduction in BMI at the initiation of the intervention. Weight-loss in the beginning of the programme is a crucial independent determinant of dropout in each week except the last one. This finding is important because it suggests a simple assessment for a major dropout risk factor in adult weight-loss intervention programmes. © 2014 The British Dietetic Association Ltd.

  3. Dropout during a driving simulator study: A survival analysis.

    Science.gov (United States)

    Matas, Nicole A; Nettelbeck, Ted; Burns, Nicholas R

    2015-12-01

    Simulator sickness is the occurrence of motion-sickness like symptoms that can occur during use of simulators and virtual reality technologies. This study investigated individual factors that contributed to simulator sickness and dropout while using a desktop driving simulator. Eighty-eight older adult drivers (mean age 72.82±5.42years) attempted a practice drive and two test drives. Participants also completed a battery of cognitive and visual assessments, provided information on their health and driving habits, and reported their experience of simulator sickness symptoms throughout the study. Fifty-two participants dropped out before completing the driving tasks. A time-dependent Cox Proportional Hazards model showed that female gender (HR=2.02), prior motion sickness history (HR=2.22), and Mini-SSQ score (HR=1.55) were associated with dropout. There were no differences between dropouts and completers on any of the cognitive abilities tests. Older adults are a high-risk group for simulator sickness. Within this group, female gender and prior motion sickness history are related to simulator dropout. Higher reported experience of symptoms of simulator sickness increased rates of dropout. The results highlight the importance of screening and monitoring of participants in driving simulation studies. Older adults, females, and those with a prior history of motion sickness may be especially at risk. Copyright © 2015 Elsevier Ltd and National Safety Council. All rights reserved.

  4. Predicting dropout in adolescents receiving therapy for depression.

    Science.gov (United States)

    O'Keeffe, Sally; Martin, Peter; Goodyer, Ian M; Wilkinson, Paul; Consortium, Impact; Midgley, Nick

    2017-10-30

    Therapy dropout is a common occurrence, especially in adolescence. This study investigated whether dropout could be predicted from a range of child, family, and treatment factors in a sample of adolescents receiving therapy for depression. This study draws on data from 406 participants of the IMPACT study, a randomized controlled trial, investigating three types of therapy in the treatment of adolescent depression. Logistic regression was used to estimate the effects of predictors on the odds of dropout. Few pre-treatment predictors of dropout were found, with the only significant predictors being older age, antisocial behaviour, and lower scores of verbal intelligence. Missed sessions and poorer therapeutic alliance early in treatment also predicted dropout. Most child and family factors investigated were not significantly associated with dropout. There may be little about depressed adolescents' presentation prior to therapy starting that indicates their risk of dropout. However, within-treatment factors indicated that warning signs of dropout may be identifiable during the initial phase of therapy. Identifying and targeting early treatment indicators of dropout may provide possibilities for improving engagement. Clinical and methodological significance of this article: In the literature, a great deal of attention has been paid to child and family factors that predict therapy dropout, yet in this study, few pre-treatment characteristics were predictive of dropout. However, findings revealed possible warning signs of dropout in the early part of treatment, as poor therapeutic alliance and missed sessions were both found to be predictive of dropout. These findings call for therapists to be aware of such warning signs and clinical guidelines for managing cases at risk of dropout are warranted.

  5. High School Exit Exams and Dropout in an Era of Increased Accountability

    Science.gov (United States)

    Hemelt, Steven W.; Marcotte, Dave E.

    2013-01-01

    A key form of student-level accountability is the requirement for students to pass high school exit exams (HSEEs) in order to receive a diploma. In this paper, we examine the impact of HSEEs on dropout during a period when these exams became more common and rigorous. Further, we study whether offering alternate pathways to graduation for students…

  6. A Multidimensional Model of School Dropout from an 8-Year Longitudinal Study in a General High School Population

    Science.gov (United States)

    Fortin, Laurier; Marcotte, Diane; Diallo, Thierno; Potvin, Pierre; Royer, Egide

    2013-01-01

    This study tests an empirical multidimensional model of school dropout, using data collected in the first year of an 8-year longitudinal study, with first year high school students aged 12-13 years. Structural equation modeling analyses show that five personal, family, and school latent factors together contribute to school dropout identified at…

  7. When Does Premature Treatment Termination Occur? Examining Session-by-Session Dropout Among Clients with Gambling Disorder.

    Science.gov (United States)

    Pfund, Rory A; Peter, Samuel C; Whelan, James P; Meyers, Andrew W

    2018-06-01

    Premature termination challenges the successful outcomes of psychological treatments for gambling disorder. To date, research has primarily identified clients who are at particular risk for dropping out of treatment. A smaller but growing body of literature has investigated when dropout occurs. Typically, those studies have not considered improvement in psychological distress within their operationalizations of dropout and therefore may have misrepresented when dropout occurs. The current study examined when dropout occurs using an operationalization based on the criteria of attaining reliable change in a naturalistic sample of clients with gambling disorder, and the classification rates yielded from that operationalization were compared to the rates from a more common operationalization. Participants (n = 334) were clients meeting diagnostic criteria for gambling disorder at an outpatient private practice who completed a measure of psychological distress at baseline and prior to each subsequent treatment session. A survival analysis was conducted to determine temporal patterns of treatment dropout (i.e., clients who discontinued treatment before realizing reliable changes in psychological distress) and completion (i.e., clients who discontinued treatment after realizing reliable changes in distress) at each treatment session. Forty-nine percent of clients were classified as dropouts, and the majority of those clients did so in the first few sessions. The more common operationalization of dropout classified clients as dropouts when they had improved in their distress and clients as completers when they had not improved in their distress. Discussion centers on the implications of dropout occurring at various stages of treatment and future directions.

  8. A mixed methods investigation of dropout among talented young dancers: findings from the UK Centres for Advanced Training.

    Science.gov (United States)

    Walker, Imogen J; Nordin-Bates, Sanna M; Redding, Emma

    2012-01-01

    The aim of this study was to understand reasons for dropout from a dance-talent program in the UK, using a mixed methods design. In-depth interviews were conducted with ten dropout students to explore the influencing factors in their decision to leave the program. In order to triangulate these findings, reasons for dropout were then examined from descriptive records of 147 young dancers who had withdrawn from the talent program over a four-year period. Overall, the most frequently cited reasons for dropping out were conflicting demands, change in aspirations, course content, difficulty making friends, and lost passion. Injury, financial factors, low perceived competence, and teacher behavior emerged as minor reasons. Intervention strategies that focus on changes in course content may be the easiest to implement and most effective means to enhance student retention.

  9. Factors associated with dropout from treatment for eating disorders: a comprehensive literature review

    Directory of Open Access Journals (Sweden)

    Tomba Elena

    2009-10-01

    Full Text Available Abstract Background Dropout (DO is common in the treatment of eating disorders (EDs, but the reasons for this phenomenon remain unclear. This study is an extensive review of the literature regarding DO predictors in EDs. Methods All papers in PubMed, PsycINFO and Cochrane Library (1980-2009 were considered. Methodological issues and detailed results were analysed for each paper. After selection according to inclusion criteria, 26 studies were reviewed. Results The dropout rates ranged from 20.2% to 51% (inpatient and from 29% to 73% (outpatient. Predictors of dropout were inconsistent due to methodological flaws and limited sample sizes. There is no evidence that baseline ED clinical severity, psychiatric comorbidity or treatment issues affect dropout. The most consistent predictor is the binge-purging subtype of anorexia nervosa. Good evidence exists that two psychological traits (high maturity fear and impulsivity and two personality dimensions (low self-directedness, low cooperativeness are related to dropout. Conclusion Implications for clinical practice and areas for further research are discussed. Particularly, these results highlight the need for a shared definition of dropout in the treatment of eating disorders for both inpatient and outpatient settings. Moreover, the assessment of personality dimensions (impulse control, self-efficacy, maturity fear and others as liability factors for dropout seems an important issue for creating specific strategies to reduce the dropout phenomenon in eating disorders.

  10. Stress and hazardous alcohol use: associations with early dropout from university.

    Science.gov (United States)

    Andersson, Claes; Johnsson, Kent O; Berglund, Mats; Ojehagen, Agneta

    2009-09-01

    The transition to studying at university is associated with increased levels of both stress and hazardous alcohol use. The aim of this study is to investigate the influence of these factors on first-year dropout from university studies. Two complete cohorts of university freshmen at two homogeneous universities, one in the north and one in the south of Sweden, were asked to participate in an intervention study. Participants responded to a baseline questionnaire including measures of stress and alcohol use. Official university records showing dropout over 12 months were collected. A multivariate analysis established that high stress and admission to the northern university were associated with dropout from university studies, while symptoms of depression and anxiety as well as hazardous drinking were not. There is a need to address the issue of stress associated with the start of university studies. It seems important to offer stress-reducing interventions, specifically aimed at reducing transitional stress, as soon as students start university.

  11. Baseline Motivation Type as a Predictor of Dropout in a Healthy Eating Text Messaging Program.

    Science.gov (United States)

    Coa, Kisha; Patrick, Heather

    2016-09-29

    Growing evidence suggests that text messaging programs are effective in facilitating health behavior change. However, high dropout rates limit the potential effectiveness of these programs. This paper describes patterns of early dropout in the HealthyYou text (HYTxt) program, with a focus on the impact of baseline motivation quality on dropout, as characterized by Self-Determination Theory (SDT). This analysis included 193 users of HYTxt, a diet and physical activity text messaging intervention developed by the US National Cancer Institute. Descriptive statistics were computed, and logistic regression models were run to examine the association between baseline motivation type and early program dropout. Overall, 43.0% (83/193) of users dropped out of the program; of these, 65.1% (54/83; 28.0% of all users) did so within the first 2 weeks. Users with higher autonomous motivation had significantly lower odds of dropping out within the first 2 weeks. A one unit increase in autonomous motivation was associated with lower odds (odds ratio 0.44, 95% CI 0.24-0.81) of early dropout, which persisted after adjusting for level of controlled motivation. Applying SDT-based strategies to enhance autonomous motivation might reduce early dropout rates, which can improve program exposure and effectiveness.

  12. How can we strengthen students' social relations in order to reduce school dropout? An intervention development study within four Danish vocational schools.

    Science.gov (United States)

    Ingholt, Liselotte; Sørensen, Betina Bang; Andersen, Susan; Zinckernagel, Line; Friis-Holmberg, Teresa; Frank, Vibeke Asmussen; Stock, Christiane; Tjørnhøj-Thomsen, Tine; Rod, Morten Hulvej

    2015-05-22

    This article describes the rationale and contents of an intervention program aimed at strengthening students' social relations in order to reduce dropout from vocational schools in Denmark. Taking its theoretical cue from the concept of 'social participation', a qualitative study was performed to investigate the specific relationships between the social environment within the schools and the institutional structures in order to analyse reasons for school dropout and their relation to well-being, cigarette smoking and substance use. The development study was based on ethnographic methods, including 22 qualitative interviews with students 17-19 years old and fieldwork with participant observations at four vocational schools over 40 days, including informal interviews and discussion meetings with managers, teachers, counselors and students. As part of the fieldwork, four additional qualitative interviews and four group interviews were conducted with students 16-25 years old. The qualitative data collection resulted in seven major themes to be addressed in the intervention: social relations, sole focus on professional skills, institutionalized individualization, importance of the introduction period, physical surroundings and schedules, tobacco and cannabis use and communication about drug use. The program addressing these themes incorporates suggestions that are meant to improve how teachers welcome new students, to enable greater integration of social and educational activities and to enhance the capacity of teachers and counselors to deal with drug use problems among students. The development of new intervention programs might benefit from adopting a theoretical and methodological perspective that enables a closer exploration of the everyday social practices in which interventions are embedded. Thus, we aimed to create a comprehensive intervention that worked through organizational changes in everyday school practices. Intervention programs must be planned in

  13. San Diego's High School Dropout Crisis

    Science.gov (United States)

    Wilson, James C.

    2012-01-01

    This article highlights San Diego's dropout problem and how much it's costing the city and the state. Most San Diegans do not realize the enormous impact high school dropouts on their city. The California Dropout Research Project, located at the University of California at Santa Barbara, has estimated the lifetime cost of one class or cohort of…

  14. Dropout from physical activity interventions in people living with HIV: a systematic review and meta-analysis.

    Science.gov (United States)

    Vancampfort, D; Mugisha, J; Richards, J; De Hert, M; Lazzarotto, A R; Schuch, F B; Probst, M; Stubbs, B

    2017-05-01

    Physical activity (PA) interventions have been shown to improve the health of people living with HIV (PLWH), yet treatment dropout poses an important challenge. We conducted a meta-analysis to investigate the prevalence and predictors of treatment dropout in PA interventions in PLWH. Electronic databases were searched for records up to September 2016. Randomized control trials of PA interventions in PLWH reporting dropout rates were included. Random effects meta-analysis and meta-regression analyses were employed. In 36 studies involving 49 PA intervention arms, 1128 PLWH were included (mean age = 41.6 years; 79.3% male; 39% White). The trim and fill adjusted treatment dropout rate was 29.3% (95% CI = 24.5-34.7%). There was a significant lower dropout rate in resistance training interventions compared with aerobic (p = 0.003) PA interventions, in studies utilizing supervised interventions throughout the study period (p dropout rates were a lower percentage of male participants (β = 1.15, standard error (SE) = 0.49, z = 2.0, p = 0.048), a lower body mass index(BMI) (β = 0.14, SE = 0.06, z = 2.16, p = 0.03), and a lower cardiorespiratory fitness (β = 0.10, SE = 0.04, z = 2.7, p = 0.006). The dropout from PA interventions is much higher in PLWH than in many other populations with chronic morbidities. Qualified professionals (i.e., exercise physiologists, physical educators, or physical therapists) should be incorporated as key care providers in the multidisciplinary care of HIV/AIDS and should prescribe supervised PA for PLWH in order to enhance adherence and reduce the burden of HIV/AIDS. Special attention should be given men, those with a higher BMI, and those with a lower cardiorespiratory fitness.

  15. Treatment of the Aged Patients at a Large Cardiac Rehabilitation Center in the Southern Brazil and Some Aspects of Their Dropout from the Therapeutic Programs.

    Science.gov (United States)

    Nesello, Pietro Felice Tomazini; Tairova, Olga; Tairova, Maria; Graciolli, Lucas; Baroni, Allan; Comparsi, Eduardo; Marchi, Thiago De

    2016-12-15

    This paper aims to assess the dropout rate in different age groups through the example of the large cardiac rehabilitation centre affiliated with the Institute of Sports Medicine, University of Caxias do Sul. A historic cohort study comprising the following groups: Non-Old dropout was defined as attendance of 50% of sessions or less. Logistic binominal regression was performed to assess the risk of dropout. For all analyses, a two-tailed P value of dropout rate was 38.6%. The Young-Old and Middle-Old groups showed lower dropouts compared to Non-Old patients (p = 0.01). Young-Old has 96% less risk for dropout compared to Non-Old group (adjusted odds ratios = 1.96 [1.16-3.29]). Furthermore, patients underwent the Coronary Artery Bypass Graft showed a lower rate of dropout (p = 0.001). The absence of CABG involved three times more risk of dropout (p = 0.001). The Non-Old and the Middle-Old patients showed higher dropout rates compared to Young-Old. To ensure the best possible rehabilitation and to improve patients´ participation in CR, these programs should be adjusted to the needs of patients in terms of their age.

  16. Evaluation of factors associated with psychiatric patient dropout at a university outpatient clinic in Japan.

    Science.gov (United States)

    Minamisawa, Atsumi; Narumoto, Jin; Yokota, Isao; Fukui, Kenji

    2016-01-01

    Patient dropout from treatment can lead to a deterioration in clinical condition, thereby increasing the need for more intensive therapy that incurs substantial social and economic losses. The aim of this study was to identify factors related to psychiatric patient dropout at a university outpatient clinic in Japan. We retrospectively examined the medical charts of new psychiatric patients who were diagnosed with either a mood disorder (International Classification of Diseases, 10th revision, code: F3) or an anxiety disorder (F4) in the outpatient clinic at Kyoto Prefectural University of Medicine Hospital in Kyoto, Japan, between April 2010 and March 2013. The baseline characteristics of the patients (age, sex, Global Assessment of Functioning score, Clinical Global Impression-Severity of Illness score, education, occupation, marital status, duration of treatment, and prior treatment history), treating psychiatrist experience in years, and sex concordance between the patients and their treating psychiatrists were analyzed using Cox regression models. From among 1,626 eligible new patients during the study period, 532 patients were enrolled in the study (F3: n=176; F4: n=356). The dropout rate was 35.7%, which was similar to that of previous studies. Higher educational level, being married, and lower Global Assessment of Functioning scores were associated with a lower dropout rate. Although psychiatrist experience was not significantly associated with patient dropout in the multivariate analysis, patients treated by less experienced psychiatrists had a higher hazard ratio for dropout (1.31; 95% confidence interval: 0.94-1.85). In order to reduce the dropout rate, special focus should be placed on patients with the factors identified in this study, and young psychiatrists should undergo further education to foster adherence.

  17. Evaluation of factors associated with psychiatric patient dropout at a university outpatient clinic in Japan

    Directory of Open Access Journals (Sweden)

    Minamisawa A

    2016-09-01

    Full Text Available Atsumi Minamisawa,1 Jin Narumoto,1 Isao Yokota,2 Kenji Fukui1 1Department of Psychiatry, 2Department of Biostatistics, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan Background: Patient dropout from treatment can lead to a deterioration in clinical condition, thereby increasing the need for more intensive therapy that incurs substantial social and economic losses. The aim of this study was to identify factors related to psychiatric patient dropout at a university outpatient clinic in Japan.Methods: We retrospectively examined the medical charts of new psychiatric patients who were diagnosed with either a mood disorder (International Classification of Diseases, 10th revision, code: F3 or an anxiety disorder (F4 in the outpatient clinic at Kyoto Prefectural University of Medicine Hospital in Kyoto, Japan, between April 2010 and March 2013. The baseline characteristics of the patients (age, sex, Global Assessment of Functioning score, Clinical Global Impression–Severity of Illness score, education, occupation, marital status, duration of treatment, and prior treatment history, treating psychiatrist experience in years, and sex concordance between the patients and their treating psychiatrists were analyzed using Cox regression models.Results: From among 1,626 eligible new patients during the study period, 532 patients were enrolled in the study (F3: n=176; F4: n=356. The dropout rate was 35.7%, which was similar to that of previous studies. Higher educational level, being married, and lower Global Assessment of Functioning scores were associated with a lower dropout rate. Although psychiatrist experience was not significantly associated with patient dropout in the multivariate analysis, patients treated by less experienced psychiatrists had a higher hazard ratio for dropout (1.31; 95% confidence interval: 0.94–1.85.Conclusion: In order to reduce the dropout rate, special focus should be placed on

  18. Shaping the Social: design of a settings-based intervention study to improve well-being and reduce smoking and dropout in Danish vocational schools.

    Science.gov (United States)

    Andersen, Susan; Tolstrup, Janne Schurmann; Rod, Morten Hulvej; Ersbøll, Annette Kjær; Sørensen, Betina Bang; Holmberg, Teresa; Johansen, Christoffer; Stock, Christiane; Laursen, Bjarne; Zinckernagel, Line; Øllgaard, Anne Louise; Ingholt, Liselotte

    2015-06-20

    The social environment at schools is an important setting to promote educational attainment, and health and well-being of young people. However, within upper secondary education there is a need for evidence-based school intervention programmes. The Shaping the Social intervention is a comprehensive programme integrating social and educational activities to promote student well-being and reduce smoking and dropout in upper secondary vocational education. The evaluation design is reported here. The evaluation employed a non-randomised cluster controlled design, and schools were selected to either implement the intervention or continue with normal practice for comparison. In the baseline survey conducted 2011-2012, 2,329 students from four intervention schools and 3,371 students from six comparison schools answered a computer-based questionnaire during class, representing 73% and 81% of eligible students, and 22% of all technical/agricultural vocational schools in Denmark. Follow-up assessment was conducted 10 weeks after baseline and at the same time teachers of the intervention classes answered a questionnaire about implementation. School dropout rates will be tracked via national education registers through a 2-year follow-up period. Shaping the Social was designed to address that students at Danish vocational schools constitute a high risk population concerning health behaviour as well as school dropout by modifying the school environment, alongside developing appropriate evaluation strategies. To address difficulties in implementing settings-based interventions, as highlighted in prior research, the strategy was to involve intervention schools in the development of the intervention. Baseline differences will be included in the effectiveness analysis, so will the impact of likely mediators and moderators of the intervention. ISRCTN57822968. Date of registration: 16/01/2013.

  19. Parental Background and University Dropout in Italy

    Science.gov (United States)

    Aina, Carmen

    2013-01-01

    Using longitudinal data drawn from the European Community Household Panel, this paper examines Italian university entry and dropout rates in the context of specific parental and family characteristics. We are interested in the effects of the household's cultural and financial conditions on shaping investment in tertiary education and its failure,…

  20. Exploiting Academic Records for Predicting Student Drop Out: a case study in Brazilian higher education

    OpenAIRE

    Sales, Allan; Balby, Leandro; Cajueiro, Adalberto

    2017-01-01

    Students’ dropout is a major concern of the Brazilian higher education institutions as it may cause waste of resources and decrease graduation rates. The early detection of students with high probability of dropping out, as well as understanding the underlying causes, are crucial for defining more effective actions toward preventing this problem. In this paper, we cast the dropout detection problem as a classification problem. We use a large sample of academic records of students across 76 co...

  1. Factors affecting dropout rates for teacher training courses in the first third of the twentieth in the Cordoba teacher training schools’ Factores de incidencia en el abandono de los estudios de magisterio en el primer tercio del siglo XX en las escuelas normales de Córdoba

    Directory of Open Access Journals (Sweden)

    Antonia RAMÍREZ GARCÍA

    2013-02-01

    Full Text Available The aim of this paper is to determine which variables affected the dropout rate for the academic curricula applied in 1903, 1914 and 1931. The application of the quantitative methodology to the History of the Education is limited, but it opens new options of investigation. The tool used to compile information was a questionnaire applied to a stratified sample of 618 subjects. Statistical inference was used to prove or disprove the hypotheses. The results revolved around the conditioning factors that affected the students, for example gender (52% and 48% for male and female students, respectively, 51.6% of the students followed an official curriculum, and the dropout rate was 45%. The findings indicate that the dropout rate was influenced by the gender, the curriculum studied and the mode of teaching chosen.El objetivo de esta investigación es la identificación de las variables intervinientes en el abandono de los estudios de magisterio en las Escuelas Normales cordobesas durante los planes de estudio de 1903, 1914 y 1931. La aplicación de la metodología cuantitativa a la Historia de la Educación es reducida, pero abre nuevas opciones de investigación. La herramienta de recogida de información empleada fue un cuestionario-plantilla aplicado a una muestra estratificada de 618 sujetos. Para probar o rechazar las hipótesis se recurrió a la estadística inferencial. Los resultados han girado alrededor de los condicionantes del alumnado: sexo (52 y 48% para hombres y mujeres respectivamente, seguimiento de una enseñanza oficial en el 51,6% del alumnado y del abandono de los estudios en el 45% de los casos. Las conclusiones señalan que el abandono de los estudios de magisterio quedó condicionado por el sexo del alumnado, el plan de estudios cursado y la modalidad de enseñanza seleccionada.

  2. Discriminating Factors between Completers of and Dropouts from Online Learning Courses

    Science.gov (United States)

    Lee, Youngju; Choi, Jaeho; Kim, Taehyun

    2013-01-01

    This study examined the differences between persistent and dropout students enrolled in an online course with five factors: support from family and work, academic locus of control, academic self-efficacy, time and environment management skills, and metacognitive self-regulation skills. Moreover, this study investigated the most significant factors…

  3. Dropout in looking time studies: The role of infants' temperament and cognitive developmental status.

    Science.gov (United States)

    Klein-Radukic, Sarah; Zmyj, Norbert

    2015-11-01

    Dropout of infants in looking time studies sometimes occurs at high rates, raising concerns that the representativeness of the final sample might be reduced in comparison to the originally obtained sample. The current study investigated which infant characteristics play a role in dropout. Infants were presented with a preferential looking task at 6 and 9 months of age. At 9 months of age, an additional habituation task and a subsequent novelty preference task were conducted. In addition, temperament was assessed via the Infant Behavior Questionnaire - Revised (IBQ-R, Gartstein & Rothbart, 2003), and cognitive developmental status was assessed via the Cognitive Scale of the Bayley Scale of Infant and Toddler Development (BSID-III, Bayley, 2006). Dropout was positively related to the IBQ-R temperament scales Distress to Limitations and Approach, and negatively related to the scales Falling Reactivity and Cuddliness. The representativeness of the final sample regarding situation-specific temperament dimensions is affected by dropout. Dropout was not related to cognitive developmental status as measured via the BSID-III, habituation speed and novelty preference. Dropout at 6 months of age was associated with dropout at 9 months of age. We concluded that in looking time studies, the representativeness of the final sample regarding performance-relevant temperament dimensions or cognitive developmental status is not affected by dropout. Copyright © 2015 Elsevier Inc. All rights reserved.

  4. RESEARCH ANALYSIS ON MOOC COURSE DROPOUT AND RETENTION RATES

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    Marcela Gerogina GOMEZ-ZERMENO

    2016-04-01

    Full Text Available This research’s objective was to identify the terminal efficiency of the Massive Online Open Course “Educational Innovation with Open Resources” offered by a Mexican private university. A quantitative methodology was used, combining descriptive statistics and probabilistic models to analyze the levels of retention, completion, and desertion, as well as the characteristics of the students who completed the course. The results show a 14% of student retention and an 11.7% of student completion, relative to the total number of participants, who had some common characteristics: having a graduate (master or doctorate, being experienced in online education, committed to the course and self-taught. The participants who abandoned the course expressed the following reasons: problems with the course’s structure, limitations in the use of information and communication technologies or limited English proficiency, family reasons or low time disposition. It is recommended to take actions that will increase the knowledge in order to explain the MOOCs’ desertion rates and to strengthen their structures to improve the retention and completion rates.

  5. Essential Measures for Student Success: Implementing Cooperation, Collaboration, and Coordination between Schools and Parents

    Science.gov (United States)

    Kirby, Edwena

    2012-01-01

    This book unveils "essential measures" that create a revitalized educational system of which educators and parents can use to promote student success. When these measures are applied properly, the benefits include, eradicating student fear, elevating student motivation, improving school attendance, and reducing student dropout rates. These…

  6. An ultra-low power output capacitor-less low-dropout regulator with slew-rate-enhanced circuit

    Science.gov (United States)

    Cheng, Xin; Zhang, Yu; Xie, Guangjun; Yang, Yizhong; Zhang, Zhang

    2018-03-01

    An ultra-low power output-capacitorless low-dropout (LDO) regulator with a slew-rate-enhanced (SRE) circuit is introduced. The increased slew rate is achieved by sensing the transient output voltage of the LDO and then charging (or discharging) the gate capacitor quickly. In addition, a buffer with ultra-low output impedance is presented to improve line and load regulations. This design is fabricated by SMIC 0.18 μm CMOS technology. Experimental results show that, the proposed LDO regulator only consumes an ultra-low quiescent current of 1.2 μA. The output current range is from 10 μA to 200 mA and the corresponding variation of output voltage is less than 40 mV. Moreover, the measured line regulation and load regulation are 15.38 mV/V and 0.4 mV/mA respectively. Project supported by the National Natural Science Foundation of China (Nos. 61401137, 61404043, 61674049).

  7. Improving completion rates in adult education through social responsibility

    DEFF Research Database (Denmark)

    Wahlgren, Bjarne; Mariager-Anderson, Kristina

    2017-01-01

    Dropout is a serious problem within education. This article reports on an intervention project, titled “New Roles for the Teacher—Increased Completion Rates Through Social Responsibility,” which sought to reduce nonattendance and dropout rates in the Danish adult educational system by improving...... of reducing drop-out rates. As a consequence, the teachers acted more consistently and purposefully to prevent dropout, and a positive effect of the intervention on drop-out rates was documented....

  8. El problema del abandono de los estudios universitarios. [The dropout problem in university study

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    Lidia Cabrera

    2006-07-01

    Full Text Available This article focuses on the dropout of university students, which in some cases can be as high as 50%. This study presents and analyses the dropout rates that are found in several Spanish universities. Using the results of national and international studies as background and the findings from our own investigation, we present a theoretical framework that identifies the definition of dropouts, the causes, the explanatory models and solutions used to understand this issue. The article concludes by presenting a critical perspective of university learning in relation to the social role that universities represent, and addresses the actual processes of change, particularly in light of the European convergence. En este artículo se analiza el fenómeno problemático del abandono de los estudios universitarios, que alcanza hasta el 50% en algunas titulaciones. Para ello, partimos de la presentación y análisis de los porcentajes de abandono de distintas universidades españolas. Posteriormente, al amparo de distintos estudios nacionales e internacionales, y nuestros resultados de investigación, elaboramos un perfil teórico que contempla: definición, causas, modelos explicativos y soluciones. Finalmente, ofrecemos una perspectiva crítica de la enseñanza universitaria, en relación al papel social que esta representa, y en relación a los actuales procesos de cambio, sobre todo el proceso de convergencia europea.

  9. First-generation phosphodiesterase type 5 inhibitors dropout: a comprehensive review and meta-analysis.

    Science.gov (United States)

    Corona, G; Rastrelli, G; Burri, A; Serra, E; Gianfrilli, D; Mannucci, E; Jannini, E A; Maggi, M

    2016-11-01

    The discontinuation rate with phosphodiesterase type 5 inhibitors (PDE5i) remains very high. The aim of this study was to review and meta-analyze currently available data regarding dropout of the first-generation of PDE5i including sildenafil, vardenafil, and tadalafil. An extensive Medline Embase and Cochrane search was performed including the following words: 'PDE5i', 'discontinuation'. All observational studies reporting the dropout rate of PDE5i and its specific causes without any arbitrary restrictions were included. Out of 103 retrieved articles, 22 were included in the study. Retrieved trials included a total of 162,936 patients with a mean age of 58.8 ± 7.9 years. Prevalence of reported comorbid diabetes and hypertension were 27.7% and 36.9%, respectively. PDE5i were associated with a mean discontinuation rate of 4% per month (almost 50% after one year). This rate was higher in younger subjects and in those reporting a higher prevalence of associated morbidities. Six main reasons of PDE5i dropout were identified in the evaluated trials. Partner-related problems and lack of efficacy represented the most important reasons for PDE5i discontinuation, although no significant difference among factors was detected. In conclusion, despite their high efficacy and easy administration, the discontinuation rate and dissatisfaction with PDE5i are still very high. Our data showed that no single factor plays a major role in PDE5i dropout, suggesting that the discontinuation rate is usually because of a combination of both medical problems and psychosocial and relational factors. © 2016 American Society of Andrology and European Academy of Andrology.

  10. Who Needs a Second Chance? The Challenge of Documenting K-12 Dropout and Why Adult Educators Should Be Concerned

    Science.gov (United States)

    Zachry, Elizabeth M.

    2010-01-01

    This literature review examines current practice in reporting school dropout rates and the impact that school dropout may have on adult education programs and policies. First, I investigate the five dropout estimates commonly reported by the U.S. Department of Education (USDOE), examining how these measures vary in their estimation of school…

  11. A Maximum-Likelihood Method to Correct for Allelic Dropout in Microsatellite Data with No Replicate Genotypes

    Science.gov (United States)

    Wang, Chaolong; Schroeder, Kari B.; Rosenberg, Noah A.

    2012-01-01

    Allelic dropout is a commonly observed source of missing data in microsatellite genotypes, in which one or both allelic copies at a locus fail to be amplified by the polymerase chain reaction. Especially for samples with poor DNA quality, this problem causes a downward bias in estimates of observed heterozygosity and an upward bias in estimates of inbreeding, owing to mistaken classifications of heterozygotes as homozygotes when one of the two copies drops out. One general approach for avoiding allelic dropout involves repeated genotyping of homozygous loci to minimize the effects of experimental error. Existing computational alternatives often require replicate genotyping as well. These approaches, however, are costly and are suitable only when enough DNA is available for repeated genotyping. In this study, we propose a maximum-likelihood approach together with an expectation-maximization algorithm to jointly estimate allelic dropout rates and allele frequencies when only one set of nonreplicated genotypes is available. Our method considers estimates of allelic dropout caused by both sample-specific factors and locus-specific factors, and it allows for deviation from Hardy–Weinberg equilibrium owing to inbreeding. Using the estimated parameters, we correct the bias in the estimation of observed heterozygosity through the use of multiple imputations of alleles in cases where dropout might have occurred. With simulated data, we show that our method can (1) effectively reproduce patterns of missing data and heterozygosity observed in real data; (2) correctly estimate model parameters, including sample-specific dropout rates, locus-specific dropout rates, and the inbreeding coefficient; and (3) successfully correct the downward bias in estimating the observed heterozygosity. We find that our method is fairly robust to violations of model assumptions caused by population structure and by genotyping errors from sources other than allelic dropout. Because the data sets

  12. Doctoral Students’ Social Support Profiles and Their Relationship to Burnout, Drop-Out Intentions, and Time to Candidacy

    Directory of Open Access Journals (Sweden)

    Jouni A Peltonen

    2017-08-01

    Full Text Available Aim/Purpose: The primary aim of this study was to better understand the individual variations in supervisory and researcher community support among doctoral students by analyzing the social support profiles of Finnish doctoral students. The differences among the profiles, in terms of satisfaction with supervision, experienced burnout, time to candidacy and disciplinary background were also examined. Background: This study explores social support profiles and their association with the experienced burnout, satisfaction with supervision, drop-out intentions, disciplinary background, and form of dissertation among doctoral students by employing a person-oriented approach. Methodology: In total, 402 doctoral students from a Finnish university completed a Doctoral Experience survey. Latent Profile Analysis (LPA was used to group doctoral students according to social support from supervisors and the researcher community. Contribution: The present study is among the first quantitative studies to explore doctoral student social support profiles and their association with burnout, drop-out intentions, and time to candidacy. It brings into focus the importance of supervisory and researcher community support as one of the most crucial assets of doctoral education in researcher communities. Findings: Two social support profiles, a sufficient support from supervisor and researched community, and b insufficient support from both of these, were identified. Further investigation suggested that the doctoral students who received sufficient support were less likely to suffer from burnout and were less likely to develop drop-out intentions than students who received insufficient support from their supervisor and the researcher community. Recommendations for Practitioners: A recommendation deriving from this research is to identify students at risk as early as possible and assist them with sufficient support.

  13. School Dropouts or Pushouts? Overcoming Barriers for the Right to Education. CREATE Pathways to Access. Research Monograph No. 40

    Science.gov (United States)

    Reddy, Anugula N.; Sinha, Shantha

    2010-01-01

    Persistently high dropout rates are one of the biggest challenges to fulfilling the right to education in India. This paper attempts to assess the magnitude of the problem of dropout. The paper critically reviews the evidence on some of the commonly cited reasons for dropout, including poverty, limited to access to credit, child labour, and…

  14. Factors associated with dropout in medical education: a literature review

    DEFF Research Database (Denmark)

    O'Neill, Lotte; Wallstedt, Birgitta; Eika, Berit

    2011-01-01

    Medical school dropout may have negative consequences for society, patients, the profession, schools and dropouts. To our knowledge, the literature dealing with dropout from medical school has never been systematically and critically appraised.......Medical school dropout may have negative consequences for society, patients, the profession, schools and dropouts. To our knowledge, the literature dealing with dropout from medical school has never been systematically and critically appraised....

  15. High School Success: An Effective Intervention for Achievement and Dropout Prevention

    Science.gov (United States)

    Lowder, Christopher Michael

    2012-01-01

    The purpose of this mixed-design study was to use quantitative and qualitative research to explore the effects of High School Success (a course for at-risk ninth graders) and its effectiveness on student achievement, attendance, and dropout prevention. The research questions address whether there is a significant difference between at-risk ninth…

  16. Do lifestyle factors and general health predict dropout among recently qualified eldercare workers? A two-year follow-up study.

    Science.gov (United States)

    Giver, Hanne; Faber, Anne; Strøyer, Jesper; Hannerz, Harald; Albertsen, Karen

    2011-05-01

    The eldercare sector in Denmark as in many industrialised countries is characterised by difficulties in retaining labour. Research suggests a possible imbalance between lifestyle and health among eldercare trainees and the demanding work encountered as eldercare employees. The aim of the present study was to determine the predictive effect of lifestyle and self-rated health on dropout from the Danish eldercare sector two years after qualification. We included 4,526 female eldercare trainees in the analyses of lifestyle parameters and 5,023 in the analyses of self-rated health. The participants in this prospective study were recruited from 27 of the 28 Danish colleges for eldercare. We linked survey data with national register data to obtain information about labour market attachment two years after qualification. The results of the present study showed that the poorer self-rated health, the higher the risk for dropout from the labour market (p lifestyle. We found that overweight/obesity (p = 0.0021 and p = 0.0012) as well as smoking (p = 0.0017) decreased the risk of dropout from eldercare into education. We found no support for increased likelihood of dropout among physically inactive. The results of the present study show that a poorer self-rated health is a predictor for dropout, not only from the eldercare two years after qualification, but from the labour market as a whole. However, the results were less consistent regarding the predictive effect of a detrimental lifestyle on dropout.

  17. The reasons of dropout of sport in Hong Kong school athletes

    OpenAIRE

    Hassan, Abdul-Rahman; Lam, Michael Huen Sum; Ku, Susanna; Li, William Ho Cheung; Lee, Ka Yiu; Ho, Eva; Flint, Stuart W.; Wong, Anthony Siu Wo

    2017-01-01

    Dropout of sport is an issue in sport and public health domains. The aim of this study was to identify the potential dropout reasons of school athletes and to examine if their perception of dropout was affected by the previous dropout experience. There were 50 subjects who were divided into two groups based on their previous dropout experience (Dropout Group=22, No Dropout Group=28). They filled a questionnaire about potential dropout reasons of the current sport. Coach and teammates were two...

  18. The reasons of dropout of sport in Hong Kong school athletes.

    Science.gov (United States)

    Hassan, Abdul-Rahman; Lam, Michael Huen Sum; Ku, Susanna; Li, William Ho Cheung; Lee, Ka Yiu; Ho, Eva; Flint, Stuart W; Wong, Anthony Siu Wo

    2017-05-16

    Dropout of sport is an issue in sport and public health domains. The aim of this study was to identify the potential dropout reasons of school athletes and to examine if their perception of dropout was affected by the previous dropout experience. There were 50 subjects who were divided into two groups based on their previous dropout experience (Dropout Group=22, No Dropout Group=28). They filled a questionnaire about potential dropout reasons of the current sport. Coach and teammates were two predominated reasons of dropout; Influence of parent and training seemed to affect the termination of the sport to a lesser extent. Moreover, the perception of social value and lost focus were significantly different between two groups. Character of coach and teammates affect the engagement of training in school athletes. However, the parental influence had less influence than expected. Training intensity played little role as the dropout reason. Previous experience of dropout had an impact of potential dropout reasons on their current sport training.

  19. The reasons of dropout of sport in Hong Kong school athletes

    Science.gov (United States)

    Hassan, Abdul-Rahman; Lam, Michael Huen Sum; Ku, Susanna; Li, William Ho Cheung; Lee, Ka Yiu; Ho, Eva; Flint, Stuart W.; Wong, Anthony Siu Wo

    2017-01-01

    Dropout of sport is an issue in sport and public health domains. The aim of this study was to identify the potential dropout reasons of school athletes and to examine if their perception of dropout was affected by the previous dropout experience. There were 50 subjects who were divided into two groups based on their previous dropout experience (Dropout Group=22, No Dropout Group=28). They filled a questionnaire about potential dropout reasons of the current sport. Coach and teammates were two predominated reasons of dropout; Influence of parent and training seemed to affect the termination of the sport to a lesser extent. Moreover, the perception of social value and lost focus were significantly different between two groups. Character of coach and teammates affect the engagement of training in school athletes. However, the parental influence had less influence than expected. Training intensity played little role as the dropout reason. Previous experience of dropout had an impact of potential dropout reasons on their current sport training. PMID:28959788

  20. The Relationships between a Freshman Transition Academy, Student WESTEST Scores, and Student Dropout Rates

    Science.gov (United States)

    Jones, Roy G.

    2013-01-01

    High school administrators in the United States find students dropping out of school problematic. The federal government created the No Child Left Behind (NCLB) mandate to provide a system of accountability to public schools and school systems, while stressing the importance of teaching research-based lessons. According to the mandate, schools and…

  1. Rule-of-thumb adjustment of sample sizes to accommodate dropouts in a two-stage analysis of repeated measurements.

    Science.gov (United States)

    Overall, John E; Tonidandel, Scott; Starbuck, Robert R

    2006-01-01

    Recent contributions to the statistical literature have provided elegant model-based solutions to the problem of estimating sample sizes for testing the significance of differences in mean rates of change across repeated measures in controlled longitudinal studies with differentially correlated error and missing data due to dropouts. However, the mathematical complexity and model specificity of these solutions make them generally inaccessible to most applied researchers who actually design and undertake treatment evaluation research in psychiatry. In contrast, this article relies on a simple two-stage analysis in which dropout-weighted slope coefficients fitted to the available repeated measurements for each subject separately serve as the dependent variable for a familiar ANCOVA test of significance for differences in mean rates of change. This article is about how a sample of size that is estimated or calculated to provide desired power for testing that hypothesis without considering dropouts can be adjusted appropriately to take dropouts into account. Empirical results support the conclusion that, whatever reasonable level of power would be provided by a given sample size in the absence of dropouts, essentially the same power can be realized in the presence of dropouts simply by adding to the original dropout-free sample size the number of subjects who would be expected to drop from a sample of that original size under conditions of the proposed study.

  2. Quantifying the Precipitation Loss of Radiation Belt Electrons during a Rapid Dropout Event

    Science.gov (United States)

    Pham, K. H.; Tu, W.; Xiang, Z.

    2017-12-01

    Relativistic electron flux in the radiation belt can drop by orders of magnitude within the timespan of hours. In this study, we used the drift-diffusion model that includes azimuthal drift and pitch angle diffusion of electrons to simulate low-altitude electron distribution observed by POES/MetOp satellites for rapid radiation belt electron dropout event occurring on May 1, 2013. The event shows fast dropout of MeV energy electrons at L>4 over a few hours, observed by the Van Allen Probes mission. By simulating the electron distributions observed by multiple POES satellites, we resolve the precipitation loss with both high spatial and temporal resolution and a range of energies. We estimate the pitch angle diffusion coefficients as a function of energy, pitch angle, and L-shell, and calculate corresponding electron lifetimes during the event. The simulation results show fast electron precipitation loss at L>4 during the electron dropout, with estimated electron lifetimes on the order of half an hour for MeV energies. The electron loss rate show strong energy dependence with faster loss at higher energies, which suggest that this dropout event is dominated by quick and localized scattering process that prefers higher energy electrons. The estimated pitch angle diffusion rates from the model are then compared with in situ wave measurements from Van Allen Probes to uncover the underlying wave-particle-interaction mechanisms that are responsible for the fast electron precipitation. Comparing the resolved precipitation loss with the observed electron dropouts at high altitudes, our results will suggest the relative role of electron precipitation loss and outward radial diffusion to the radiation belt dropouts during storm and non-storm times, in addition to its energy and L dependence.

  3. Towards dropout training for convolutional neural networks.

    Science.gov (United States)

    Wu, Haibing; Gu, Xiaodong

    2015-11-01

    Recently, dropout has seen increasing use in deep learning. For deep convolutional neural networks, dropout is known to work well in fully-connected layers. However, its effect in convolutional and pooling layers is still not clear. This paper demonstrates that max-pooling dropout is equivalent to randomly picking activation based on a multinomial distribution at training time. In light of this insight, we advocate employing our proposed probabilistic weighted pooling, instead of commonly used max-pooling, to act as model averaging at test time. Empirical evidence validates the superiority of probabilistic weighted pooling. We also empirically show that the effect of convolutional dropout is not trivial, despite the dramatically reduced possibility of over-fitting due to the convolutional architecture. Elaborately designing dropout training simultaneously in max-pooling and fully-connected layers, we achieve state-of-the-art performance on MNIST, and very competitive results on CIFAR-10 and CIFAR-100, relative to other approaches without data augmentation. Finally, we compare max-pooling dropout and stochastic pooling, both of which introduce stochasticity based on multinomial distributions at pooling stage. Copyright © 2015 Elsevier Ltd. All rights reserved.

  4. Challenges of student selection: Predicting academic performance ...

    African Journals Online (AJOL)

    Finding accurate predictors of tertiary academic performance, specifically for disadvantaged students, is essential because of budget constraints and the need of the labour market to address employment equity. Increased retention, throughput and decreased dropout rates are vital. When making admission decisions, the

  5. Childhood Trauma and Psychiatric Disorders as Correlates of School Dropout in a National Sample of Young Adults

    Science.gov (United States)

    Porche, Michelle V.; Fortuna, Lisa R.; Lin, Julia; Alegria, Margarita

    2010-01-01

    The effect of childhood trauma, psychiatric diagnoses, and mental health services on school dropout among U.S. born and immigrant youth is examined using data from the Collaborative Psychiatric Epidemiology Surveys (CPES), a nationally representative probability sample of African Americans, Afro-Caribbeans, Asians, Latinos, and non-Latino Whites, including 2532 young adults, ages 21 to 29. The dropout prevalence rate was 16% overall, with variation by childhood trauma, childhood psychiatric diagnosis, race/ethnicity, and nativity. Childhood substance and conduct disorders mediated the relationship between trauma and school dropout. Likelihood of dropout was decreased for Asians, and increased for African Americans and Latinos, compared to non-Latino Whites as a function of psychiatric disorders and trauma. Timing of U.S. immigration during adolescence increased risk of dropout. PMID:21410919

  6. Using Social Media to Improve Student-Instructor Communication in an Online Learning Environment

    Science.gov (United States)

    Guo, Rong; Shen, Yide; Li, Lei

    2018-01-01

    The lack of effective faculty-student interaction has been identified as a main contributor to the high dropout rate in online education. For this paper, the authors conducted an empirical study using a social networking tool, specifically Facebook, to improve student-instructor communication and student performance in an online learning…

  7. Dynamic Output Feedback Control for Nonlinear Networked Control Systems with Random Packet Dropout and Random Delay

    Directory of Open Access Journals (Sweden)

    Shuiqing Yu

    2013-01-01

    Full Text Available This paper investigates the dynamic output feedback control for nonlinear networked control systems with both random packet dropout and random delay. Random packet dropout and random delay are modeled as two independent random variables. An observer-based dynamic output feedback controller is designed based upon the Lyapunov theory. The quantitative relationship of the dropout rate, transition probability matrix, and nonlinear level is derived by solving a set of linear matrix inequalities. Finally, an example is presented to illustrate the effectiveness of the proposed method.

  8. Grad Nation: A Guidebook to Help Communities Tackle the Dropout Crisis

    Science.gov (United States)

    Balfanz, Robert; Fox, Joanna Hornig; Bridgeland, John M.; McNaught, Mary

    2009-01-01

    With more than one million students dropping out of high school each year, Grad Nation is specifically designed to offer solutions and tools for every size community and presents a compelling case for all sectors of society to get involved. The guidebook is part of the Alliance's Dropout Prevention Campaign. The guide brings together the nation's…

  9. School Dropout Pattern among Senior Secondary Schools in Delta State, Nigeria

    Science.gov (United States)

    Ajaja, O. Patrick

    2012-01-01

    The major purpose of this study was to determine the pattern of dropout among secondary school students in Delta State. To guide this study, 7 research questions were asked and answered, 3 hypotheses stated and tested at 0.05 level of significance. The design of study was ex post facto using the past school attendance registers as the major…

  10. Drop-out from a psychodynamic group psychotherapy outpatient unit.

    Science.gov (United States)

    Jensen, Hans Henrik; Mortensen, Erik Lykke; Lotz, Martin

    2014-11-01

    BACKGROUND. Drop-out from psychotherapy is common and represents a considerable problem in clinical practice and research. Aim. To explore pre-treatment predictors of early and late drop-out from psychodynamic group therapy in a public outpatient unit for non-psychotic disorders in Denmark. Methods. Naturalistic design including 329 patients, the majority with mood, neurotic and personality disorders referred to 39-session group therapy. Predictors were socio-demographic and clinical variables, self-reported symptoms (Symptom Check List-90-Revised) and personality style (Millon Clinical Multiaxial Inventory-II). Drop-out was classified into early and late premature termination excluding patients who dropped out for external reasons. Results. Drop-out comprised 20.6% (68 patients) of the sample. Logistic regression revealed social functioning, vocational training, alcohol problems and antisocial behavior to be related to drop-out. However, early drop-outs had prominent agoraphobic symptoms, lower interpersonal sensitivity and compulsive personality features, and late drop-outs cognitive and somatic anxiety symptoms and antisocial personality features. Clinical and psychological variables accounted for the major part of variance in predictions of drop-out, which ranged from 15.6% to 19.5% (Nagelkerke Pseudo R-Square). Conclusion. Social functioning was consistently associated with drop-out, but personality characteristics and anxiety symptoms differentiated between early and late drop-out. Failure to discriminate between stages of premature termination may explain some of the inconsistencies in the drop-out literature. Clinical implications. Before selection of patients to time-limited psychodynamic groups, self-reported symptoms should be thoroughly considered. Patients with agoraphobic symptoms should be offered alternative treatment. Awareness of and motivation to work with interpersonal issues may be essential for compliance with group therapy.

  11. Assessing Cognitive Load Theory to Improve Student Learning for Mechanical Engineers

    Science.gov (United States)

    Impelluso, Thomas J.

    2009-01-01

    A computer programming class for students of mechanical engineering was redesigned and assessed: Cognitive Load Theory was used to redesign the content; online technologies were used to redesign the delivery. Student learning improved and the dropout rate was reduced. This article reports on both attitudinal and objective assessment: comparing…

  12. Dropout Prevalence and Associated Factors in Randomized Clinical Trials of Adolescents Treated for Depression: Systematic Review and Meta-analysis.

    Science.gov (United States)

    Rohden, Adriane Isabel; Benchaya, Mariana Canellas; Camargo, Roger Santos; Moreira, Taís de Campos; Barros, Helena M T; Ferigolo, Maristela

    2017-05-01

    Depression currently affects 350 million people, and its prevalence among adolescents is 4% to 8%. Adolescents who abandon antidepressant treatment or drop out of clinical trials are less likely to recover or experience a remission of symptoms because they are not being followed up by a medical team. The objective of this study was to analyze the dropout rates of randomized clinical trials of depressed adolescents receiving treatment with antidepressant drugs and the factors associated with nonadherence by summarizing this information in a systematic review and meta-analysis. Articles were retrieved from MEDLINE, EMBASE, Cochrane, Clinical Trial, PsycINFO, and Web of Science using the MeSH terms "depressive disorder," "randomized trials," and "adolescents." The evaluation of study quality was performed by using the Cochrane Handbook for Systematic Reviews of Interventions and the Jadad scale. The final sample included 50 articles, of which 44 presented dropout rates. The overall dropout prevalence was 23% (95% CI, 20-27; P dropout prevalence, respectively (33% [95% CI, 27-39], 45% [95% CI, 31-64], and 15% [95% CI, 13-17]). The adverse effects most associated with dropout were attempted suicide followed by mania, skin rash, and headache. Problems relating to clinical trials and family arbitration were also related with dropout. Serotonin/norepinephrine reuptake inhibitor treatment, adolescent age >16 years, and receiving medication were the only factors demonstrating a higher association with dropout rates. Selective serotonin reuptake inhibitors were linked to the lowest prevalence, probably due to fewer perceived problems with related adverse effects and higher efficacy in adolescents. Cognitive-behavioral therapy combined with pharmacotherapy produced a lower nonadherence prevalence; this approach can be an alternative to avoid dropouts and relapse. Prospero identifier: CRD42014013475. Copyright © 2017 Elsevier HS Journals, Inc. All rights reserved.

  13. Physical exercise in treatment of AUDs – a dropout study

    DEFF Research Database (Denmark)

    Sari, Sengül; Roessler, Kirsten Kaya

    Background: The Healthy Lifestyle Study is one out of five alcohol research studies in the RESCueH research project. It is a randomized controlled study which aims to understand the effect of physical exercise on alcohol, fitness and wellness outcomes for outpatients in treatment of alcohol use...... disorders. Relapse rates in treatment of AUD ranges between 60 and 90 % in the first year after treatment. The Healthy Lifestyle Study offers physical exercise as add on treatment to better maintenance. However intervention studies with physical exercise can suffer from high dropout rates. To gain a better...... understanding of lived lives of dropouts from The Healthy Lifestyle Study, a qualitative interview study was conducted. Objective: This interview study aims to gain better understanding of and more in depth knowledge about how alcohol patients experience, think and feel about physical exercise when...

  14. Modelling variable dropout in randomised controlled trials with longitudinal outcomes: application to the MAGNETIC study.

    Science.gov (United States)

    Kolamunnage-Dona, Ruwanthi; Powell, Colin; Williamson, Paula Ruth

    2016-04-28

    Clinical trials with longitudinally measured outcomes are often plagued by missing data due to patients withdrawing or dropping out from the trial before completing the measurement schedule. The reasons for dropout are sometimes clearly known and recorded during the trial, but in many instances these reasons are unknown or unclear. Often such reasons for dropout are non-ignorable. However, the standard methods for analysing longitudinal outcome data assume that missingness is non-informative and ignore the reasons for dropout, which could result in a biased comparison between the treatment groups. In this article, as a post hoc analysis, we explore the impact of informative dropout due to competing reasons on the evaluation of treatment effect in the MAGNETIC trial, the largest randomised placebo-controlled study to date comparing the addition of nebulised magnesium sulphate to standard treatment in acute severe asthma in children. We jointly model longitudinal outcome and informative dropout process to incorporate the information regarding the reasons for dropout by treatment group. The effect of nebulised magnesium sulphate compared with standard treatment is evaluated more accurately using a joint longitudinal-competing risk model by taking account of such complexities. The corresponding estimates indicate that the rate of dropout due to good prognosis is about twice as high in the magnesium group compared with standard treatment. We emphasise the importance of identifying reasons for dropout and undertaking an appropriate statistical analysis accounting for such dropout. The joint modelling approach accounting for competing reasons for dropout is proposed as a general approach for evaluating the sensitivity of conclusions to assumptions regarding missing data in clinical trials with longitudinal outcomes. EudraCT number 2007-006227-12 . Registration date 18 Mar 2008.

  15. Can a Public Scholarship Program Successfully Reduce School Drop-Outs in a Time of Economic Crisis? Evidence from Indonesia

    Science.gov (United States)

    Cameron, Lisa

    2009-01-01

    This paper evaluates the role played by Indonesia's Social Safety Net Scholarships Program in reducing school drop-out rates during the Asian financial crisis. The expectation was that many families would find it difficult to keep their children in school and drop-out rates would be high. The scholarships are found to have been effective in…

  16. Potential risk factors associated with risk for drop-out and relapse during and following withdrawal of opioid prescription medication.

    Science.gov (United States)

    Heiwe, Susanne; Lönnquist, Ingeborg; Källmén, Håkan

    2011-10-01

    Withdrawal of opioid medication in patients with chronic pain has a drop-out and relapse problem. To evaluate if depressive symptoms, anxiety and pain intensity are potential risk factors for drop-out or relapse during the withdrawal process. Further, to assess internal consistency of scales for assessment of these potential risk factors. Twenty-nine patients were included. After 2 years 28 of these were followed-up. Those with depressive symptoms at baseline had a significant risk for drop-out from the withdrawal program (odds ratio 1.37) and relapse into use of opioids at follow-up (odds ratio 1.44). Drop-outs rated depressive symptoms significantly higher before detoxification. Those who relapsed rated significantly higher for pain intensity, depressive symptoms and abstinence prior to withdrawal. All scales had high reliability. To avoid drop-out and relapse clinical practice need to screen for depressive symptoms, pain intensity, and abstinence. This article presents significant reliability of scales useful within dependency centers. They can be used to identify these risk factors for drop-out and relapse, respectively, when initiating the withdrawal process. Taking these risk factors into consideration could improve the outcome of the withdrawal process by preventing drop-out and relapse. Copyright © 2011 European Federation of International Association for the Study of Pain Chapters. Published by Elsevier Ltd. All rights reserved.

  17. Comparing Dropouts and Persistence in E-Learning Courses

    Science.gov (United States)

    Levy, Yair

    2007-01-01

    Several studies have been conducted related to dropouts from on-campus and distance education courses. However, no clear definition of dropout from academic courses was provided. Consequently, this study proposes a clear and precise definition of dropout from academic courses in the context of e-learning courses. Additionally, it is documented in…

  18. Factors associated with pretreatment and treatment dropouts: comparisons between Aboriginal and non-Aboriginal clients admitted to medical withdrawal management

    Science.gov (United States)

    2013-01-01

    Background Addiction treatment faces high pretreatment and treatment dropout rates, especially among Aboriginals. In this study we examined characteristic differences between Aboriginal and non-Aboriginal clients accessing an inpatient medical withdrawal management program, and identified risk factors associated with the probabilities of pretreatment and treatment dropouts, respectively. Methods 2231 unique clients (Aboriginal = 451; 20%) referred to Vancouver Detox over a two-year period were assessed. For both Aboriginal and non-Aboriginal groups, multivariate logistic regression analyses were conducted with pretreatment dropout and treatment dropout as dependent variables, respectively. Results Aboriginal clients had higher pretreatment and treatment dropout rates compared to non-Aboriginal clients (41.0% vs. 32.7% and 25.9% vs. 20.0%, respectively). For Aboriginal people, no fixed address (NFA) was the only predictor of pretreatment dropout. For treatment dropout, significant predictors were: being female, having HCV infection, and being discharged on welfare check issue days or weekends. For non-Aboriginal clients, being male, NFA, alcohol as a preferred substance, and being on methadone maintenance treatment (MMT) at referral were associated with pretreatment dropout. Significant risk factors for treatment dropout were: being younger, having a preferred substance other than alcohol, having opiates as a preferred substance, and being discharged on weekends. Conclusions Our results highlight the importance of social factors for the Aboriginal population compared to substance-specific factors for the non-Aboriginal population. These findings should help clinicians and decision-makers to recognize the importance of social supports especially housing and initiate appropriate services to improve treatment intake and subsequent retention, physical and mental health outcomes and the cost-effectiveness of treatment. PMID:24325629

  19. Predicting Dropout from Intensive Outpatient Cognitive Behavioural Therapy for Binge Eating Disorder Using Pre-treatment Characteristics: A Naturalistic Study.

    Science.gov (United States)

    Vroling, Maartje S; Wiersma, Femke E; Lammers, Mirjam W; Noorthoorn, Eric O

    2016-11-01

    Dropout rates in binge eating disorder (BED) treatment are high (17-30%), and predictors of dropout are unknown. Participants were 376 patients following an intensive outpatient cognitive behavioural therapy programme for BED, 82 of whom (21.8%) dropped out of treatment. An exploratory logistic regression was performed using eating disorder variables, general psychopathology, personality and demographics to identify predictors of dropout. Binge eating pathology, preoccupations with eating, shape and weight, social adjustment, agreeableness, and social embedding appeared to be significant predictors of dropout. Also, education showed an association to dropout. This is one of the first studies investigating pre-treatment predictors for dropout in BED treatment. The total explained variance of the prediction model was low, yet the model correctly classified 80.6% of cases, which is comparable to other dropout studies in eating disorders. Copyright © 2016 John Wiley & Sons, Ltd and Eating Disorders Association. Copyright © 2016 John Wiley & Sons, Ltd and Eating Disorders Association.

  20. A path model analysis on predictors of dropout (at 6 and 12 months) during the weight loss interventions in endocrinology outpatient division.

    Science.gov (United States)

    Perna, Simone; Spadaccini, Daniele; Riva, Antonella; Allegrini, Pietro; Edera, Chiara; Faliva, Milena Anna; Peroni, Gabriella; Naso, Maurizio; Nichetti, Mara; Gozzer, Carlotta; Vigo, Beatrice; Rondanelli, Mariangela

    2018-02-22

    This study aimed to identify the dropout rate at 6 and 12 months from the first outpatient visit, and to analyze dropout risk factors among the following areas: biochemical examinations, anthropometric measures, psychological tests, personal data, and life attitude such as smoking, physical activity, and pathologies. This is a retrospective longitudinal observational study. Patients undergo an outpatient endocrinology visit, which includes collecting biographical data, anthropometric measurements, physical and pathological history, psychological tests, and biochemical examinations. The sample consists of 913 subjects (682 women and 231 men), with an average age of 50.88 years (±15.80) for the total sample, with a BMI of 33.11 ± 5.65 kg/m 2 . 51.9% of the patients abandoned therapy at 6 months after their first visit, and analyzing the dropout rate at 12 months, it appears that 69.5% of subjects abandon therapy. The main predictor of dropout risk factors at 6 and 12 months is the weight loss during the first 3 months (p dropout at 12 months. Patients who introduced physical activity had a reduction of - 17% (at 6 months) and -13% (at 12 months) of dropout risk (p dropout vs. other categories of worker (i = 0.58; p Dropout risk at 12 months decrease in patients with a previous history of cancer, Endocrine and psychic and behavioral disorders (p dropout.

  1. Personality predicts drop-out from therapist-guided internet-based cognitive behavioural therapy for eating disorders. Results from a randomized controlled trial

    Directory of Open Access Journals (Sweden)

    Louise Högdahl

    2016-09-01

    Full Text Available Internet-based guided self-help cognitive behavioural therapy (ICBT seems a promising way of delivering eating disorder treatment. However, treatment drop-out is a common problem and little is known about the correlates, especially in clinical settings. The study aimed to explore prediction of drop-out in the context of a randomized controlled trial within specialized eating disorder care in terms of eating disorder symptomatology, personality traits, comorbidity, and demographic characteristics. 109 outpatients diagnosed with bulimia nervosa or similar eating disorder were randomized to two types of ICBT. Participants were assessed with several clinical- and self-ratings. The average drop-out rate was 36%. Drop-out was predicted by lower scores in the personality traits Dutifulness and Assertiveness as measured by the NEO Personality Inventory Revised, and by higher scores in Self-affirm as measured by the Structural Analysis of Social Behaviour. Drop-out was also predicted by therapist factors: one therapist had significantly more drop-outs (82% than the other three (M = 30%. Theoretical and clinical implications of the impact of the predictors are discussed.

  2. Parents and the School Dropout Problem.

    Science.gov (United States)

    Ferguson, Earl E.; Killingsworth, Jerry

    1987-01-01

    The school dropout problem is discussed, with suggestions for parents on ensuring that their children do not become part of the dropout population, including; monitoring children's school attendance patterns; making sure children understand how important school and attendance is; maintaining close contact with teachers; and helping children…

  3. Allelic drop-out probabilities estimated by logistic regression

    DEFF Research Database (Denmark)

    Tvedebrink, Torben; Eriksen, Poul Svante; Asplund, Maria

    2012-01-01

    We discuss the model for estimating drop-out probabilities presented by Tvedebrink et al. [7] and the concerns, that have been raised. The criticism of the model has demonstrated that the model is not perfect. However, the model is very useful for advanced forensic genetic work, where allelic drop-out...... is occurring. With this discussion, we hope to improve the drop-out model, so that it can be used for practical forensic genetics and stimulate further discussions. We discuss how to estimate drop-out probabilities when using a varying number of PCR cycles and other experimental conditions....

  4. Investigation of a Multi-Component Intervention Addressing Mathematical Reasoning and Self-Regulation of Behavior for Students with Emotional/Behavioral Disabilities

    Science.gov (United States)

    Fisher, Marie B.

    2013-01-01

    For students with Emotional/Behavioral Disabilities (EBD), negative student outcomes are the poorest across disability categories, including high rates of school dropouts, unemployment and incarcerations. Mathematically, students with EBD receiving instruction in special education settings experience practices not consistent with recommendations…

  5. Longitudinal associations between different dementia diagnoses and medication use jointly accounting for dropout.

    Science.gov (United States)

    Agogo, George O; Ramsey, Christine M; Gnjidic, Danijela; Moga, Daniela C; Allore, Heather

    2018-04-18

    ABSTRACTBackground:Longitudinal studies of older adults are characterized by high dropout rates, multimorbid conditions, and multiple medication use, especially proximal to death. We studied the association between multiple medication use and incident dementia diagnoses including Alzheimer's disease (AD), vascular dementia (VD), and Lewy-body dementia (LBD), simultaneously accounting for dropout. Using the National Alzheimer's Coordinating Center data with three years of follow-up, a set of covariate-adjusted models that ignore dropout was fit to complete-case data, and to the whole-cohort data. Additionally, covariate-adjusted joint models with shared random effects accounting for dropout were fit to the whole-cohort data. Multiple medication use was defined as polypharmacy (⩾ five medications), hyperpolypharmacy (⩾ ten medications), and total number of medications. Incident diagnoses were 2,032 for AD, 135 for VD, and 139 for LBD. Percentages of dropout at the end of follow-up were as follows: 71.8% for AD, 81.5% for VD, and 77.7% for LBD. The odds ratio (OR) estimate for hyperpolypharmacy among those with LBD versus AD was 2.19 (0.78, 6.15) when estimated using complete-case data and 3.00 (1.66, 5.40) using whole-cohort data. The OR reduced to 1.41 (0.76, 2.64) when estimated from the joint model accounting for dropout. The OR for polypharmacy using complete-case data differed from the estimates using whole-cohort data. The OR for dementia diagnoses on total number of medications was similar, but non-significant when estimated using complete-case data. Reasons for dropout should be investigated and appropriate statistical methods should be applied to reduce bias in longitudinal studies among high-risk dementia cohorts.

  6. Baseline participant characteristics and risk for dropout from ten obesity randomized controlled trials: a pooled analysis of individual level data.

    Science.gov (United States)

    Kaiser, Kathryn A; Affuso, Olivia; Desmond, Renee; Allison, David B

    Understanding participant demographic characteristics that inform the optimal design of obesity RCTs have been examined in few studies. The objective of this study was to investigate the association of individual participant characteristics and dropout rates (DORs) in obesity randomized controlled trials (RCT) by pooling data from several publicly available datasets for analyses. We comprehensively characterize DORs and patterns in obesity RCTs at the individual study level, and describe how such rates and patterns vary as a function of individual-level characteristics. We obtained and analyzed nine publicly-available, obesity RCT datasets that examined weight loss or weight gain prevention as a primary or secondary endpoint. Four risk factors for dropout were examined by Cox proportional hazards including sex, age, baseline BMI, and race/ethnicity. The individual study data were pooled in the final analyses with a random effect for study, and HR and 95% CIs were computed. Results of the multivariate analysis indicated that the risk of dropout was significantly higher for females compared to males (HR= 1.24, 95% CI = 1.05, 1.46). Hispanics and Non-Hispanic blacks had a significantly higher dropout rate compared to non-Hispanic whites (HR= 1.62, 95% CI = 1.37, 1.91; HR= 1.22, 95% CI = 1.11, 1.35, respectively). There was a significantly increased risk of dropout associated with advancing age (HR= 1.02, 95% CI = 1.01, 1.02) and increasing BMI (HR= 1.03, 95% CI = 1.03, 1.04). As more studies may focus on special populations, researchers designing obesity RCTs may wish to oversample in certain demographic groups if attempting to match comparison groups based on generalized estimates of expected dropout rates, or otherwise adjust a priori power estimates. Understanding true reasons for dropout may require additional methods of data gathering not generally employed in obesity RCTs, e.g. time on treatment.

  7. The Crucial First Year: A Longitudinal Study of Students' Motivational Development at a Swiss Business School

    Science.gov (United States)

    Brahm, Taiga; Jenert, Tobias; Wagner, Dietrich

    2017-01-01

    In Switzerland, every student graduating from grammar school can begin to study at a university. This leads to high dropout rates. Although students' motivation is considered a strong predictor of performance, the development of motivation during students' transition from high school to university has rarely been investigated. Additionally, little…

  8. Exploring the Effect of Student Confusion in Massive Open Online Courses

    Science.gov (United States)

    Yang, Diyi; Kraut, Robert E.; Rose, Carolyn P.

    2016-01-01

    Although thousands of students enroll in Massive Open Online Courses (MOOCs) for learning and self-improvement, many get confused, harming learning and increasing dropout rates. In this paper, we quantify these effects in two large MOOCs. We first describe how we automatically estimate students' confusion by looking at their clicking behavior on…

  9. An Analysis of the Impact of Socio-Economic Disadvantage and School Quality on the Probability of School Dropout

    Science.gov (United States)

    Mahuteau, S.; Mavromaras, K.

    2014-01-01

    This paper combines the Australian Programme for International Student Assessment (PISA) micro-level data with its longitudinal continuation, the Longitudinal Survey of Australian Youth data, to measure the association between individual PISA scores and early school dropouts. We use multilevel modelling to distinguish between student and school…

  10. Dropout Prediction in E-Learning Courses through the Combination of Machine Learning Techniques

    Science.gov (United States)

    Lykourentzou, Ioanna; Giannoukos, Ioannis; Nikolopoulos, Vassilis; Mpardis, George; Loumos, Vassili

    2009-01-01

    In this paper, a dropout prediction method for e-learning courses, based on three popular machine learning techniques and detailed student data, is proposed. The machine learning techniques used are feed-forward neural networks, support vector machines and probabilistic ensemble simplified fuzzy ARTMAP. Since a single technique may fail to…

  11. A Meta-Analysis of Dropout Prevention Outcomes and Strategies. A Technical Report

    Science.gov (United States)

    Chappell, Shanan L.; O'Connor, Patrick; Withington, Cairen; Stegelin, Dolores A.

    2015-01-01

    Almost from the start of the public schools system in America, students have been leaving school without high school diplomas. However, the dropout issue did not rise to the level of significance it has today until the early 1980s, when social pressures, along with business leaders, leveraged their influence on educators to address the dropout…

  12. A Resource Manual for Community College Faculty to Support Students with Learning Disabilities

    Science.gov (United States)

    Cheng, Laura

    2013-01-01

    According to the 23rd Annual Report to Congress, U.S. Department of Education, one out of every five people in the United States has a learning disability (LD). The dropout rate among these students is high, and students with learning disabilities are also less likely to attend 4-year colleges and universities. Although a majority of students with…

  13. Relativistic electron dropout echoes induced by interplanetary shocks

    Science.gov (United States)

    Schiller, Q.; Kanekal, S. G.; Boyd, A. J.; Baker, D. N.; Blake, J. B.; Spence, H. E.

    2017-12-01

    Interplanetary shocks that impact Earth's magnetosphere can produce immediate and dramatic responses in the trapped relativistic electron population. One well-studied response is a prompt injection capable of transporting relativistic electrons deep into the magnetosphere and accelerating them to multi-MeV energies. The converse effect, electron dropout echoes, are observations of a sudden dropout of electron fluxes observed after the interplanetary shock arrival. Like the injection echo signatures, dropout echoes can also show clear energy dispersion signals. They are of particular interest because they have only recently been observed and their causal mechanism is not well understood. In the analysis presented here, we show observations of electron drift echo signatures from the Relativistic Electron-Proton Telescope (REPT) and Magnetic Electron and Ion Sensors (MagEIS) onboard NASA's Van Allen Probes mission, which show simultaneous prompt enhancements and dropouts within minutes of the associated with shock impact. We show that the observations associated with both enhancements and dropouts are explained by the inward motion caused by the electric field impulse induced by the interplanetary shock, and either energization to cause the enhancement, or lack of a seed population to cause the dropout.

  14. Development and Standardization of Inventory for Measuring Students' Integration into University Academic Culture

    Science.gov (United States)

    Esomonu, Nkechi Patricia-Mary; Okeaba, James Uzoma

    2016-01-01

    The study developed and standardized an Inventory for measuring Students' Integration into University Academic Culture named Inventory for Students' Integration into University Academic Culture (ISIUAC). The increase in dropout rates, substance use, cultism and other deviant behaviours in Nigerian universities makes it necessary for one to ask the…

  15. Lost without trace: oximetry signal dropout in preterm infants.

    Science.gov (United States)

    Lim, Kathleen; Wheeler, Kevin I; Jackson, Hamish D; Sadeghi Fathabadi, Omid; Gale, Timothy J; Dargaville, Peter A

    2015-09-01

    Oxygen saturation (SpO2) signal dropout leaves caregivers without a reliable measure to guide oxygen therapy. We studied SpO2 dropout in preterm infants on continuous positive airway pressure, noting the SpO2 values at signal loss and recovery and thus the resultant change in SpO2, and the factors influencing this parameter. In 32 infants of median gestation 26 weeks, a total of 3932 SpO2 dropout episodes were identified (1.1 episodes/h). In the episodes overall, SpO2 decreased by 1.1%, with the SpO2 change influenced by starting SpO2 (negative correlation), but not dropout duration. For episodes starting in hypoxia (SpO2 dropout, with a downward trajectory in a quarter of cases. We conclude that after signal dropout SpO2 generally recovers in a relative normoxic range. Blind FiO2 adjustments are thus unlikely to be of benefit during most SpO2 dropout episodes. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

  16. Study the Precipitation of Radiation Belt Electrons during the Rapid Dropout Events

    Science.gov (United States)

    Tu, W.; Cunningham, G.; Li, X.; Chen, Y.

    2015-12-01

    During the main phase of storms, the relativistic electron flux in the radiation belt can drop by orders of magnitude on timescales of a few hours. Where do the electrons go? This is one of the most important outstanding questions in radiation belt studies. Radiation belt electrons can be lost either by transport across the magnetopause into interplanetary space or by precipitation into the atmosphere. In this work we first conduct a survey of the MeV electron dropouts using the Van Allen Probes data in conjunction with the low-altitude measurements of precipitating electrons by 6 NOAA/POES satellites. The dropout events are categorized into three types: precipitation-loss dominant, outward radial diffusion dominant, or with contributions from both mechanisms. The survey results suggest the relative importance of precipitation and outward radial diffusion to the fast dropouts of radiation belt electrons, and their extent in L-shell and electron energy. Then, for specific events identified as dominated by precipitation loss, we use the Drift-Diffusion model, which includes the effects of azimuthal drift and pitch angle diffusion, to simulate both the electron dropout observed by Van Allen Probes and the distributions of drift-loss-cone electrons observed by multiple low-earth-orbit satellites (6 POES and the Colorado Student Space Weather Experiment). The model quantifies the electron precipitation loss and pitch angle diffusion coefficient, Dxx, with high temporal and spatial resolution. Finally, by comparing the Dxx derived from the model with those estimated from the quasi-linear theory using wave data from Van Allen Probes and other event-specific wave models, we are able to test the validity of quasi-linear theory and seek direct evidence of the wave-particle interactions during the dropouts.

  17. West Virginia Dropout Study, 1985-86.

    Science.gov (United States)

    West Virginia State Dept. of Education, Charleston. Div. of General and Special Educational Development.

    Reported in this document are dropout statistics from the State of West Virginia for the school year 1985-86. This annual survey of the 55 county school systems has been conducted since the 1968-69 school year. Topics surveyed include Education Consolidation and Improvement Act (ECIA) status, exit interviews, grade at exit, month dropout left…

  18. "Who am I supposed to let down?": The caring work and emotional practices of vocational educational training teachers working with potential drop-out students

    DEFF Research Database (Denmark)

    Lippke, Lena

    2012-01-01

    initiatives and as a result, most colleges have established extended basic courses aimed at students with personal, social and/or academic difficulties. This paper aims to explore the emotional aspects of vocational educational teachers’ work and present a preliminary analysis of the notion of care....... Findings – The paper provides empirical insights into the emotional practices and the management of emotions related to prevention of dropout within an educational setting. It shows how emotional practices can provide both teachers and students with positive identities and make out a productive force...... that prevents students from dropping out. However the management of emotions also involves a range of dilemmas and ambivalences revealing the difficult limitations related to an institutionalization and professionalization of human care. Research limitations/implications – Because of the chosen research design...

  19. Policy and participant perspectives on the drop-out problem in secondary education

    DEFF Research Database (Denmark)

    Rasmussen, Annette; Rasmussen, Palle

    In this paper we compare the way the drop-out problem in secondary education is constructed in Danish official and public policy discourse with the way it is experiences and interpreted by young people trying to get an education. As regards the student's perspective we will use interviews...... with students in production schools. This is an interim form of schooling for young people who have for some reason not entered secondary education directly but are still trying to find their way into (most often) vocational education....

  20. Adjustment of High School Dropouts in Closed Religious Communities

    Science.gov (United States)

    Itzhaki, Yael; Itzhaky, Haya; Yablon, Yaacov B.

    2018-01-01

    Background: While extensive research has been done on high-school dropouts' adjustment, there is little data on dropouts from closed religious communities. Objective: This study examines the contribution of personal and social resources to the adjustment of high school dropouts in Ultraorthodox Jewish communities in Israel. Method: Using a…

  1. Parenting practices and school dropout: a longitudinal study.

    Science.gov (United States)

    Blondal, Kristjana S; Adalbjarnardottir, Sigrun

    2009-01-01

    Adolescents' perceptions of parenting style and parental involvement in their education were examined longitudinally and related to school dropout among Icelandic youth (N = 427). Results indicated that adolescents who, at age 14, characterized their parents as authoritative (showing acceptance and supervision) were more likely to have completed upper secondary school by age 22 than adolescents from non-authoritative families, controlling for adolescents' gender, socioeconomic status (SES), temperament, and parental involvement. Parenting style seems to more strongly predict school dropout than parental involvement. Further, parenting style may moderate the relationship between parental involvement and dropout, but not in all groups; only in authoritative families does parental involvement decrease the likelihood of school dropout. Furthermore, even after controlling for previous academic achievement, adolescents from authoritative families were less likely to drop out than adolescents from authoritarian and neglectful families. These findings emphasize the importance of encouraging quality parent-child relationships in order to reduce the likelihood of school dropout.

  2. Electron dropout echoes induced by interplanetary shock: Van Allen Probes observations

    International Nuclear Information System (INIS)

    Hao, Y. X.; Zong, Q.-G.; Zhou, X.-Z.; Fu, S. Y.; Rankin, R.

    2016-01-01

    On 23 November 2012, a sudden dropout of the relativistic electron flux was observed after an interplanetary shock arrival. The dropout peaks at ~1 MeV and more than 80% of the electrons disappeared from the drift shell. Van Allen twin Probes observed a sharp electron flux dropout with clear energy dispersion signals. The repeating flux dropout and recovery signatures, or “dropout echoes”, constitute a new phenomenon referred to as a “drifting electron dropout” with a limited initial spatial range. The azimuthal range of the dropout is estimated to be on the duskside, from ~1300 to 0100 LT. We then conclude that the shock-induced electron dropout is not caused by the magnetopause shadowing. Furthermore, the dropout and consequent echoes suggest that the radial migration of relativistic electrons is induced by the strong dusk-dawn asymmetric interplanetary shock compression on the magnetosphere.

  3. Predicting dropout from intensive outpatient cognitive behavioural therapy for binge eating disorder using pre-treatment characteristics: A naturalistic study

    NARCIS (Netherlands)

    Vroling, M.S.; Wiersma, F.E.; Lammers, M.W.; Noorthoorn, E.O.

    2016-01-01

    Background: Dropout rates in binge eating disorder (BED) treatment are high (17-30%), and predictors of dropout are unknown. Method: Participants were 376 patients following an intensive outpatient cognitive behavioural therapy programme for BED, 82 of whom (21.8%) dropped out of treatment. An

  4. Linking the Timing of Career and Technical Education Coursetaking with High School Dropout and College-Going Behavior

    Science.gov (United States)

    Gottfried, Michael A.; Plasman, Jay Stratte

    2018-01-01

    While prior studies have examined the efficacy of career and technical education (CTE) courses on high school students' outcomes, there is little knowledge on timing of these courses and a potential link to student outcomes. We asked if the timing of these courses predicted differences in the likelihood of dropout and on-time high school…

  5. Factors affecting graduation and student dropout rates at the University of KwaZulu-Natal

    Directory of Open Access Journals (Sweden)

    Mike Murray

    2014-11-01

    Full Text Available This paper aims to introduce into the literature a competing risks methodology that can be used to help identify some student-specific and/or institutional factors which may be influencing the type of outcome experienced by a student when they leave the university system. Focusing on the length of time that it takes students to graduate or drop out from their studies, this new methodology was applied to a database comprising all students enrolled for a degree at the University of KwaZulu-Natal between the years 2004 and 2012. Financial aid and residence-based accommodation were found to help students who will eventually graduate to do so quicker in terms of the number of credit points that they have to repeat. These same factors, however, also cause someone who will eventually be excluded on academic grounds to linger longer in the system. By focusing on the number of extra credit points that it takes to reach a particular exit point, this paper introduces into the literature a new measure whose use will help to overcome some of the more obvious problems that can occur when one uses calendar time to measure the length of time that it takes to reach a particular exit point.

  6. Enjoyment and Behavioral Intention Predict Organized Youth Sport Participation and Dropout.

    Science.gov (United States)

    Gardner, Lauren A; Magee, Christopher A; Vella, Stewart A

    2017-11-01

    Dropout from organized youth sport has significant adverse health implications. Enjoyment and behavioral intentions have consistently been linked with participation and dropout; however, few studies have investigated these links using a prospective design. This study explored whether enjoyment and intentions to continue predicted dropout behavior at 1-year follow-up. Questionnaires were completed by 327 regular sport participants (mean age = 13.01 y at baseline). After 1 year, 247 individuals (75.5%) continued participating in their main sport and 26 individuals (8%) dropped out. A hierarchical logistic regression model estimated the probability of dropout. In step 1, the following covariates were included: age, sex, competition level, perceived competence, parental support, coach-athlete relationship, friendship quality, and peer acceptance. In step 2, enjoyment and intentions to continue were included. Step 1 indicated that age, parental support, coach-athlete relationship quality, and peer acceptance were significantly associated with dropout. Step 2 explained further variance in dropout, with both enjoyment and intentions inversely associated with dropout. Peer acceptance was the only covariate to remain significantly associated with dropout in step 2. Findings support the use of enjoyment and behavioral intentions as indicators of sport participation/dropout behavior and may aid the development of interventions aimed at preventing future dropout.

  7. Predicting secondary school dropout among South African ...

    African Journals Online (AJOL)

    ... not living with one's mother, smoking cigarettes in the past month, and lower levels of leisure-related intrinsic motivation significantly predicted dropout. Results support comprehensive prevention programmes that target risk behaviour and leisure. Keywords: adolescence; leisure motivation; school dropout; substance use ...

  8. Stereotype confirmation concerns predict dropout from cognitive behavioral therapy for social anxiety disorder.

    Science.gov (United States)

    Johnson, Suzanne; Price, Matthew; Mehta, Natasha; Anderson, Page L

    2014-08-19

    There are high attrition rates observed in efficacy studies for social anxiety disorder, and research has not identified consistent nor theoretically meaningful predictors of dropout. Pre-treatment symptom severity and demographic factors, such as age and gender, are sometimes predictive of dropout. The current study examines a theoretically meaningful predictor of attrition based on experiences associated with social group membership rather than differences between social group categories--fear of confirming stereotypes. This is a secondary data analysis of a randomized controlled trial comparing two cognitive behavioral treatments for social anxiety disorder: virtual reality exposure therapy and exposure group therapy. Participants (N = 74) with a primary diagnosis of social anxiety disorder who were eligible to participate in the parent study and who self-identified as either "African American" (n = 31) or "Caucasian" (n = 43) completed standardized self-report measures of stereotype confirmation concerns (SCC) and social anxiety symptoms as part of a pre-treatment assessment battery. Hierarchical logistic regression showed that greater stereotype confirmation concerns were associated with higher dropout from therapy--race, age, gender, and pre-treatment symptom severity were not. Group treatment also was associated with higher dropout. These findings urge further research on theoretically meaningful predictors of attrition and highlight the importance of addressing cultural variables, such as the experience of stereotype confirmation concerns, during treatment of social anxiety to minimize dropout from therapy.

  9. Measuring student engagement among elementary students: pilot of the Student Engagement Instrument--Elementary Version.

    Science.gov (United States)

    Carter, Chandra P; Reschly, Amy L; Lovelace, Matthew D; Appleton, James J; Thompson, Dianne

    2012-06-01

    Early school withdrawal, commonly referred to as dropout, is associated with a plethora of negative outcomes for students, schools, and society. Student engagement, however, presents as a promising theoretical model and cornerstone of school completion interventions. The purpose of the present study was to validate the Student Engagement Instrument-Elementary Version (SEI-E). The psychometric properties of this measure were assessed based on the responses of an ethnically diverse sample of 1,943 students from an urban locale. Exploratory and confirmatory factor analyses indicated that the 4-factor model of student engagement provided the best fit for the current data, which is divergent from previous SEI studies suggesting 5- and 6-factor models. Discussion and implications of these findings are presented in the context of student engagement and dropout prevention. (PsycINFO Database Record (c) 2012 APA, all rights reserved).

  10. Influence of X and gamma radiation and bias conditions on dropout voltage of voltage regulators serial transistors

    International Nuclear Information System (INIS)

    Vukic, V.; Osmokrovic, P.; Stankovic, S.; Kovacevic, M.

    2005-01-01

    Research topic presented in this paper is degradation of characteristics of low-dropout voltage regulator's serial transistor during exposure of device to the ionizing radiation. Voltage regulators were exposed to X and γ radiation in two modes: without bias conditions, and with bias conditions and load. Tested circuits are representatives of the first and the second generation of low-dropout voltage regulators, with lateral and vertical PNP serial transistor: LM2940 and L4940. Experimental results of output voltage and serial dropout voltage change in function of total ionizing dose, during the medium-dose-rate exposure, were presented. (author) [sr

  11. 75 FR 34716 - Office of Elementary and Secondary Education; Overview Information; High School Graduation...

    Science.gov (United States)

    2010-06-18

    ..., sustainable, and coordinated dropout prevention and reentry programs in schools that serve students in grades...) schools that-- (A) serve students in grades 6 through 12; and (B) have annual school dropout rates that are above the State average annual school dropout rate; or (ii) middle schools that feed students into...

  12. Effect of the Transcendental Meditation Program on Graduation, College Acceptance and Dropout Rates for Students Attending an Urban Public High School

    Science.gov (United States)

    Colbert, Robert D.

    2013-01-01

    High school graduation rates nationally have declined in recent years, despite public and private efforts. The purpose of the current study was to determine whether practice of the Quiet Time/Transcendental Meditation® program at a medium-size urban school results in higher school graduation rates compared to students who do not receive training…

  13. Baseline participant characteristics and risk for dropout from ten obesity randomized controlled trials: a pooled analysis of individual level data

    Directory of Open Access Journals (Sweden)

    Kathryn Ann Kaiser

    2014-12-01

    Full Text Available Introduction: Understanding participant demographic characteristics that inform the optimal design of obesity RCTs have been examined in few studies. The objective of this study was to investigate the association of individual participant characteristics and dropout rates (DORs in obesity randomized controlled trials (RCT by pooling data from several publicly available datasets for analyses. We comprehensively characterize DORs and patterns in obesity RCTs at the individual study level, and describe how such rates and patterns vary as a function of individual-level characteristics. Methods: We obtained and analyzed nine publicly-available, obesity RCT datasets that examined weight loss or weight gain prevention as a primary or secondary endpoint. Four risk factors for dropout were examined by Cox proportional hazards including sex, age, baseline BMI, and race/ethnicity. The individual study data were pooled in the final analyses with a random effect for study, and HR and 95% CIs were computed. Results: Results of the multivariate analysis indicated that the risk of dropout was significantly higher for females compared to males (HR= 1.24, 95% CI = 1.05, 1.46. Hispanics and Non-Hispanic blacks had a significantly higher dropout rate compared to non-Hispanic whites (HR= 1.62, 95% CI = 1.37, 1.91; HR= 1.22, 95% CI = 1.11, 1.35, respectively. There was a significantly increased risk of dropout associated with advancing age (HR= 1.02, 95% CI = 1.01, 1.02 and increasing BMI (HR= 1.03, 95% CI = 1.03, 1.04. Conclusion/Significance: As more studies may focus on special populations, researchers designing obesity RCTs may wish to oversample in certain demographic groups if attempting to match comparison groups based on generalized estimates of expected dropout rates, or otherwise adjust a priori power estimates. Understanding true reasons for dropout may require additional methods of data gathering not generally employed in obesity RCTs, e.g. time on

  14. Marijuana Use and High School Dropout: The Influence of Unobservables

    OpenAIRE

    Daniel F. McCaffrey; Rosalie Liccardo Pacula; Bing Han; Phyllis Ellickson

    2008-01-01

    In this study we reconsider the relationship between heavy and persistent marijuana use and high school dropout status using a unique prospective panel study of over 4500 7th grade students from South Dakota who are followed up through high school. Propensity score weighting is used to adjust for baseline differences that are found to exist before marijuana initiation occurs (7th grade). Weighted logistic regression incorporating these propensity score weights is then used to examine the exte...

  15. A Matching Activity When Entering Higher Education: Ongoing Guidance for the Students or Efficiency Instrument for the School?

    Science.gov (United States)

    Mittendorff, Kariene; Faber, Marike; Staman, Laura

    2017-01-01

    In order to lower dropout rates and stimulate student success in higher education, the Dutch government implemented a new law demanding that every higher education institute offer a matching activity to applying students. This article evaluates how students and teachers experience this matching activity. Data were collected in a Dutch university…

  16. Predicting the academic performance of Asian, black, and Hispanic optometry students.

    Science.gov (United States)

    Kegel-Flom, P

    1990-03-01

    As optometry schools receive increasing numbers of Asian, Black, and Hispanic applications, it is appropriate for us to ask whether minority students differ in meaningful ways from nonminority students in measures used in admissions, and whether these variables have differential validity in predicting their achievement in optometry school. This study compares Asian, Black, Hispanic, and nonminority students at entry to the University of Houston College of Optometry (UHCO) from 1981 through 1986 and tests the validity of admissions indices to predict optometry grades, academic dropout, and high-level achievement for these ethnic groups. Although preoptometry grade point average (GPA) was the best predictor of optometry grades for all students, measures of verbal ability were additional predictors for Asian students and, for Black and Hispanic students, ability in study/reading and math were predictors. In addition, personality inventory measures and ratings of the competitiveness of the undergraduate institution were important in differentiating minority academic dropouts from retained students. Suggestions are made for optometry college programs which will enhance the probability of success for minority students.

  17. "Meta-Analysis of Dropout in Treatments for Posttraumatic Stress Disorder": Correction to Imel et al. (2013).

    Science.gov (United States)

    2016-09-01

    Reports an error in "Meta-analysis of dropout in treatments for posttraumatic stress disorder" by Zac E. Imel, Kevin Laska, Matthew Jakupcak and Tracy L. Simpson ( Journal of Consulting and Clinical Psychology , 2013[Jun], Vol 81[3], 394-404). There are two errors in the Results section. Each is described alongside the corrected results. Corrections did not influence interpretation of the results. Neither the magnitude of effects nor statistical significance of any results is substantively altered. (The following abstract of the original article appeared in record 2013-01522-001.) Objective: Many patients drop out of treatments for posttraumatic stress disorder (PTSD); some clinicians believe that trauma-focused treatments increase dropout. We conducted a meta-analysis of dropout among active treatments in clinical trials for PTSD (42 studies; 17 direct comparisons). The average dropout rate was 18%, but it varied significantly across studies. Group modality and greater number of sessions, but not trauma focus, predicted increased dropout. When the meta-analysis was restricted to direct comparisons of active treatments, there were no differences in dropout. Differences in trauma focus between treatments in the same study did not predict dropout. However, trauma-focused treatments resulted in higher dropout compared with present-centered therapy (PCT), a treatment originally designed as a control but now listed as a research-supported intervention for PTSD. Dropout varies between active interventions for PTSD across studies, but variability is primarily driven by differences between studies. There do not appear to be systematic differences across active interventions when they are directly compared in the same study. The degree of clinical attention placed on the traumatic event does not appear to be a primary cause of dropout from active treatments. However, comparisons of PCT may be an exception to this general pattern, perhaps because of a restriction of

  18. ACRES At-Risk Task Force: Dropout Survey.

    Science.gov (United States)

    Bull, Kay S.; And Others

    This paper describes a study by the American Council on Rural Special Education (ACRES) to determine its membership's opinions on priorities and expertise regarding the dropout problem. ACRES members, primarily rural special-education teachers, parents, and collateral service workers, were surveyed about the dropout problem and what research they…

  19. Do Structured Study Programmes Lead to Lower Rates of Dropout and Student Transfer from University?

    Science.gov (United States)

    Hovdhaugen, Elisabeth

    2011-01-01

    One of the main intentions of the comprehensive higher education reform in Norway in 2003 was to improve student performance and completion. One way of doing this is to reduce the number of students leaving an institution. Institutions have limited options for reducing student departure, and one of the few routes open to them is changing the…

  20. Predictive factors of dropout from inpatient treatment for anorexia nervosa.

    Science.gov (United States)

    Roux, H; Ali, A; Lambert, S; Radon, L; Huas, C; Curt, F; Berthoz, S; Godart, Nathalie

    2016-09-30

    patients are under or over 18 years of age. Besides the therapeutic adjustments required in view of the factors identified, the high dropout rate raises the issue of resorting more frequently to compulsory care measures among adults.

  1. Electron Dropout Echoes Induced by Interplanetary Shock: A Statistical Study

    Science.gov (United States)

    Liu, Z.; Zong, Q.; Hao, Y.; Zhou, X.; Ma, X.; Liu, Y.

    2017-12-01

    "Electron dropout echo" as indicated by repeated moderate dropout and recovery signatures of the flux of energetic electron in the out radiation belt region has been investigated systematically. The electron dropout and its echoes are usually found for higher energy (> 300 keV) channels fluxes, whereas the flux enhancements are obvious for lower energy electrons simultaneously after the interplanetary shock arrives at the Earth's geosynchronous orbit. 104 dropout echo events have been found from 215 interplanetary shock events from 1998 to 2007 based on LANL satellite data. In analogy to substorm injections, these 104 events could be naturally divided into two categories: dispersionless (49 events) or dispersive (55 events) according to the energy dispersion of the initial dropout. It is found that locations of dispersionless events are distributed mainly in the duskside magnetosphere. Further, the obtained locations derived from dispersive events with the time-of-flight technique of the initial dropout regions are mainly located at the duskside as well. Statistical studies have shown that the effect of shock normal, interplanetary magnetic field Bz and solar wind dynamic pressure may be insignificant to these electron dropout events. We suggest that the electric field impulse induced by the IP shock produces a more pronounced inward migration of electrons at the dusk side, resulting in the observed dusk-side moderate dropout of electron flux and its consequent echoes.

  2. Valued Youth Anthology: Articles on Dropout Prevention.

    Science.gov (United States)

    Intercultural Development Research Association, San Antonio, TX.

    This document contains, in chronological order, all articles related to dropouts that have appeared in the Intercultural Development Research Association (IDRA) Newsletter from 1986 to 1989. The articles are: (1) "The Prevention and Recovery of Dropouts: An Action Agenda" (Robledo); (2) "Coca Cola Valued Youth Partnership Program Results of Second…

  3. Child Psychotherapy Dropout: An Empirical Research Review

    Science.gov (United States)

    Deakin, Elisabeth; Gastaud, Marina; Nunes, Maria Lucia Tiellet

    2012-01-01

    This study aims to discuss the most recent data about child psychotherapy dropout, especially child psychoanalytical psychotherapy. The authors also try to offer some possible alternatives to prevent such a phenomenon. The definition of "child psychotherapy dropout" is extensively discussed. The goal has been to attempt to create a standardised…

  4. Internet-Based Motivation Program for Women With Eating Disorders: Eating Disorder Pathology and Depressive Mood Predict Dropout

    Science.gov (United States)

    Hirschfeld, Gerrit; Rieger, Elizabeth; Schmidt, Ulrike; Kosfelder, Joachim; Hechler, Tanja; Schulte, Dietmar; Vocks, Silja

    2014-01-01

    Background One of the main problems of Internet-delivered interventions for a range of disorders is the high dropout rate, yet little is known about the factors associated with this. We recently developed and tested a Web-based 6-session program to enhance motivation to change for women with anorexia nervosa, bulimia nervosa, or related subthreshold eating pathology. Objective The aim of the present study was to identify predictors of dropout from this Web program. Methods A total of 179 women took part in the study. We used survival analyses (Cox regression) to investigate the predictive effect of eating disorder pathology (assessed by the Eating Disorders Examination-Questionnaire; EDE-Q), depressive mood (Hopkins Symptom Checklist), motivation to change (University of Rhode Island Change Assessment Scale; URICA), and participants’ age at dropout. To identify predictors, we used the least absolute shrinkage and selection operator (LASSO) method. Results The dropout rate was 50.8% (91/179) and was equally distributed across the 6 treatment sessions. The LASSO analysis revealed that higher scores on the Shape Concerns subscale of the EDE-Q, a higher frequency of binge eating episodes and vomiting, as well as higher depression scores significantly increased the probability of dropout. However, we did not find any effect of the URICA or age on dropout. Conclusions Women with more severe eating disorder pathology and depressive mood had a higher likelihood of dropping out from a Web-based motivational enhancement program. Interventions such as ours need to address the specific needs of women with more severe eating disorder pathology and depressive mood and offer them additional support to prevent them from prematurely discontinuing treatment. PMID:24686856

  5. Internet-based motivation program for women with eating disorders: eating disorder pathology and depressive mood predict dropout.

    Science.gov (United States)

    von Brachel, Ruth; Hötzel, Katrin; Hirschfeld, Gerrit; Rieger, Elizabeth; Schmidt, Ulrike; Kosfelder, Joachim; Hechler, Tanja; Schulte, Dietmar; Vocks, Silja

    2014-03-31

    One of the main problems of Internet-delivered interventions for a range of disorders is the high dropout rate, yet little is known about the factors associated with this. We recently developed and tested a Web-based 6-session program to enhance motivation to change for women with anorexia nervosa, bulimia nervosa, or related subthreshold eating pathology. The aim of the present study was to identify predictors of dropout from this Web program. A total of 179 women took part in the study. We used survival analyses (Cox regression) to investigate the predictive effect of eating disorder pathology (assessed by the Eating Disorders Examination-Questionnaire; EDE-Q), depressive mood (Hopkins Symptom Checklist), motivation to change (University of Rhode Island Change Assessment Scale; URICA), and participants' age at dropout. To identify predictors, we used the least absolute shrinkage and selection operator (LASSO) method. The dropout rate was 50.8% (91/179) and was equally distributed across the 6 treatment sessions. The LASSO analysis revealed that higher scores on the Shape Concerns subscale of the EDE-Q, a higher frequency of binge eating episodes and vomiting, as well as higher depression scores significantly increased the probability of dropout. However, we did not find any effect of the URICA or age on dropout. Women with more severe eating disorder pathology and depressive mood had a higher likelihood of dropping out from a Web-based motivational enhancement program. Interventions such as ours need to address the specific needs of women with more severe eating disorder pathology and depressive mood and offer them additional support to prevent them from prematurely discontinuing treatment.

  6. Predictors of Dropout by Female Obese Patients Treated with a Group Cognitive Behavioral Therapy to Promote Weight Loss

    Directory of Open Access Journals (Sweden)

    Ryoko Sawamoto

    2016-01-01

    Full Text Available Objective: To investigate predictors of dropout from a group cognitive behavioral therapy (CBT intervention for overweight or obese women. Methods: 119 overweight and obese Japanese women aged 25-65 years who attended an outpatient weight loss intervention were followed throughout the 7-month weight loss phase. Somatic characteristics, socioeconomic status, obesity-related diseases, diet and exercise habits, and psychological variables (depression, anxiety, self-esteem, alexithymia, parenting style, perfectionism, and eating attitude were assessed at baseline. Significant variables, extracted by univariate statistical analysis, were then used as independent variables in a stepwise multiple logistic regression analysis with dropout as the dependent variable. Results: 90 participants completed the weight loss phase, giving a dropout rate of 24.4%. The multiple logistic regression analysis demonstrated that compared to completers the dropouts had significantly stronger body shape concern, tended to not have jobs, perceived their mothers to be less caring, and were more disorganized in temperament. Of all these factors, the best predictor of dropout was shape concern. Conclusion: Shape concern, job condition, parenting care, and organization predicted dropout from the group CBT weight loss intervention for overweight or obese Japanese women.

  7. Predictors of Dropout by Female Obese Patients Treated with a Group Cognitive Behavioral Therapy to Promote Weight Loss.

    Science.gov (United States)

    Sawamoto, Ryoko; Nozaki, Takehiro; Furukawa, Tomokazu; Tanahashi, Tokusei; Morita, Chihiro; Hata, Tomokazu; Komaki, Gen; Sudo, Nobuyuki

    2016-01-01

    To investigate predictors of dropout from a group cognitive behavioral therapy (CBT) intervention for overweight or obese women. 119 overweight and obese Japanese women aged 25-65 years who attended an outpatient weight loss intervention were followed throughout the 7-month weight loss phase. Somatic characteristics, socioeconomic status, obesity-related diseases, diet and exercise habits, and psychological variables (depression, anxiety, self-esteem, alexithymia, parenting style, perfectionism, and eating attitude) were assessed at baseline. Significant variables, extracted by univariate statistical analysis, were then used as independent variables in a stepwise multiple logistic regression analysis with dropout as the dependent variable. 90 participants completed the weight loss phase, giving a dropout rate of 24.4%. The multiple logistic regression analysis demonstrated that compared to completers the dropouts had significantly stronger body shape concern, tended to not have jobs, perceived their mothers to be less caring, and were more disorganized in temperament. Of all these factors, the best predictor of dropout was shape concern. Shape concern, job condition, parenting care, and organization predicted dropout from the group CBT weight loss intervention for overweight or obese Japanese women. © 2016 S. Karger GmbH, Freiburg.

  8. One foot out the school door? Interpreting the risk for dropout upon the transition to post-secondary vocational education

    NARCIS (Netherlands)

    Elffers, L.

    2012-01-01

    Many students drop out in the first year after a school transition. Most commonly used indicators of an increased risk for dropout reveal little of the mechanisms that push or pull students out of school. In this study, we look at the association of a set of common risk indicators with students’

  9. Open-closed-loop iterative learning control for a class of nonlinear systems with random data dropouts

    Science.gov (United States)

    Cheng, X. Y.; Wang, H. B.; Jia, Y. L.; Dong, YH

    2018-05-01

    In this paper, an open-closed-loop iterative learning control (ILC) algorithm is constructed for a class of nonlinear systems subjecting to random data dropouts. The ILC algorithm is implemented by a networked control system (NCS), where only the off-line data is transmitted by network while the real-time data is delivered in the point-to-point way. Thus, there are two controllers rather than one in the control system, which makes better use of the saved and current information and thereby improves the performance achieved by open-loop control alone. During the transfer of off-line data between the nonlinear plant and the remote controller data dropout occurs randomly and the data dropout rate is modeled as a binary Bernoulli random variable. Both measurement and control data dropouts are taken into consideration simultaneously. The convergence criterion is derived based on rigorous analysis. Finally, the simulation results verify the effectiveness of the proposed method.

  10. Service-Learning. National Dropout Prevention Center/Network Newsletter. Volume 22, Number 4

    Science.gov (United States)

    Duckenfield, Marty, Ed.

    2011-01-01

    The "National Dropout Prevention Newsletter" is published quarterly by the National Dropout Prevention Center/Network. This issue contains the following articles: (1) Dropouts and Democracy (Robert Shumer); (2) 2011 NDPN Crystal Star Winners; (3) Service-Learning as Dropout Intervention and More (Michael VanKeulen); and (4) Teacher…

  11. Revisiting Primary School Dropout in Rural Cambodia

    Science.gov (United States)

    No, Fata; Sam, Chanphirun; Hirakawa, Yukiko

    2012-01-01

    Previous studies on school dropout in Cambodia often used data from subjects after they already dropped out or statistics from education-related institutions. Using data from children in two rural provinces before they dropped out, this study examines four main factors in order to identify their influence on primary school dropout in Cambodia.…

  12. Incorporating Allelic Dropout

    Czech Academy of Sciences Publication Activity Database

    Slovák, Dalibor

    2014-01-01

    Roč. 2, č. 1 (2014), s. 31-33 ISSN 1805-8698 Grant - others:SVV(CZ) 260034 Institutional support: RVO:67985807 Keywords : drop-out * peak height * DNA interpretation Subject RIV: IN - Informatics, Computer Science http://www.ijbh.org/ijbh2014-1.pdf

  13. Academic preparedness of students – an exploratory study

    OpenAIRE

    Du Plessis, L; Gerber, D

    2012-01-01

    The high level of student failure, accompanied by an increased drop-out rate, is problematic in higher education. It is especially a concern in programmes with the subjects of Mathematics, Accounting and Science. Over many years, models of student admission and selection have been widely researched both internationally and in South Africa. Research indicates that in the academic domain, underpreparedness results from a combination of a lack of English proficiency, mathematical ability and eff...

  14. Predictors of dropout in the German disease management program for type 2 diabetes.

    Science.gov (United States)

    Fullerton, Birgit; Erler, Antje; Pöhlmann, Boris; Gerlach, Ferdinand M

    2012-01-10

    To improve and assess the effectiveness of disease management programs (DMPs), it is critical to understand how many people drop out of disease management programs and why. We used routine data provided by a statutory health insurance fund from the regions North Rhine, North Wurttemberg and Hesse. As part of the German DMP for type 2 diabetes, the insurance fund received regular documentation of all members participating in the program. We followed 10,989 patients who enrolled in the DMP between July 2004 and December 2005 until the end of 2007 to study how many patients dropped out of the program. Dropout was defined based on the discontinuation of program documentation on a particular patient, excluding situations in which the patient died or left the insurance fund. Predictors of dropout, assessed at the time of program enrolment, were explored using logistic regression analysis. 5.5% of the patients dropped out of the disease management program within the observation period. Predictors of dropout at the time of enrolment were: region; retirement status; the number of secondary diseases; presence of a disabling secondary disease; doctor's recommendations to stop smoking or to seek nutritional counselling; and the completion and outcome of the routine foot and eye exams. Different trends of dropout were observed among retired and employed patients: retired patients of old age, who possibly drop out of the program due to other health care priorities and employed people of younger age who have not yet developed many secondary diseases, but were recommended to change their lifestyle. Overall, dropout rates for the German disease management programs for type 2 diabetes were low compared to other studies. Factors assessed at the time of program enrolment were predictive of later dropout and should be further studied to provide information for future program improvements.

  15. The Relationship of Math Anxiety and Mathematics Comprehension in Middle School Students

    Science.gov (United States)

    Carroll, Shannon Rae

    2010-01-01

    The high school dropout rate in a southern U.S. state is 22.1% and students who fall behind in reading and math in middle school are more likely to fail 9th grade. This specific failure is one of the strongest predictors that a student will ultimately drop out of school. The research questions of this study addressed the relationship between math…

  16. Socioeconomic differences in school dropout among young adults

    DEFF Research Database (Denmark)

    Winding, Trine Nøhr; Andersen, Johan Hviid

    2015-01-01

    Background School dropout in adolescence is an important social determinant of health inequality in a lifetime perspective. It is commonly accepted that parental background factors are associated with later dropout, but to what extent social relations mediate this association is not yet fully...

  17. Hispanic or Latino Student Success in Online Schools

    Science.gov (United States)

    Corry, Michael

    2016-01-01

    The purpose of this study is to examine graduation and dropout rates for Hispanic or Latino K-12 students enrolled in fully online and blended public school settings in Arizona. The independent variables of school type (charter vs. non-charter) and delivery method (fully online vs. blended) were examined using multivariate and univariate methods…

  18. Cultural Transition and Academic Achievement of Students from Ethnic Minority Backgrounds: A Content Analysis of Empirical Research on Acculturation

    Science.gov (United States)

    Makarova, Elena; Birman, Dina

    2015-01-01

    Background: The achievement gap between immigrant and non-immigrant students that has been identified in most OECD countries and the considerable educational dropout rate among students from ethnic minority backgrounds in some countries have become serious challenges for national educational systems. The educational underachievement of young…

  19. The Effect of Significant International Sports Events on Qualified Detoxification Treatment Outcome - Do Drop-Out Rates Change during UEFA European Championship?

    Directory of Open Access Journals (Sweden)

    Yvonne Sofin

    Full Text Available No previous studies have evaluated the influence of significant international sports events on qualified detoxification treatment outcome. This prospective study examines the impact of the 2012 UEFA European Football Championship on inpatient treatment outcome of alcohol dependent patients. Hospital admission and premature drop-out rates of consecutively admitted alcohol dependent patients were determined before, during and immediately after the UEFA Championship in the year 2012. The admission rate of male patients increased significantly after the European Football Championship had ended whereas for female patients, no change in admission rate was found. Daily average discharge rate was calculated. No statistically relevant differences between the treatment days before, during and after the UEFA Championship was found for the discharges. During the tournament, exclusively male patients dropped out. Our results are consistent with an interpretation of an association between European Football Championship and detoxification treatment outcome. Further research to replicate and extend our findings is necessary.

  20. Students' Attitudes toward High-Stakes Testing and Its Effect on Educational Decisions

    Science.gov (United States)

    Moran, Aldo Alfredo

    2010-01-01

    With the recent increase in accountability due to No Child Left Behind, graduation rates and drop-out rates are important indicators of how well a school district is performing. High-stakes testing scores are at the forefront of a school's success and recognition as a school that is preparing and graduating students to meet society's challenging…

  1. High school dropouts: Interactions between social context, self-perceptions, school engagement, and student dropout☆

    Science.gov (United States)

    Fall, Anna-Mária; Roberts, Greg

    2012-01-01

    Research suggests that contextual, self-system, and school engagement variables influence dropping out from school. However, it is not clear how different types of contextual and self-system variables interact to affect students’ engagement or contribute to decisions to dropout from high school. The self-system model of motivational development represents a promising theory for understanding this complex phenomenon. The self-system model acknowledges the interactive and iterative roles of social context, self-perceptions, school engagement, and academic achievement as antecedents to the decision to dropout of school. We analyzed data from the Education Longitudinal Study of 2002–2004 in the context of the self-system model, finding that perception of social context (teacher support and parent support) predicts students’ self-perceptions (perception of control and identification with school), which in turn predict students’ academic and behavioral engagement, and academic achievement. Further, students’ academic and behavioral engagement and achievement in 10th grade were associated with decreased likelihood of dropping out of school in 12th grade. PMID:22153483

  2. Determinants of dropout in a community-based mental health crisis centre.

    Science.gov (United States)

    Henzen, Alexandre; Moeglin, Clotilde; Giannakopoulos, Panteleimon; Sentissi, Othman

    2016-04-19

    Dropping out during the course of medical follow up is defined as an early therapy withdrawal without the agreement of the therapist. In a psychiatric crisis unit in Geneva, we empirically observed that almost 50% of the patients were not showing up to their first appointments, which were scheduled for 3 to 7 days post discharge. The aim of this naturalistic descriptive cohort study is to identify the demographic, patient and care-related predictive factors of dropout in a community-based psychiatric crisis centre. We included 245 consecutive outpatients followed-up for 4 to 6 weeks of intensive outpatient psychiatric treatment. Logistic regression models were built to examine the association between dropout and demographic, care and patient-related variables. Among the 245 outpatients, dropout occurred in 37.5% of cases, and it most frequently occurred (81.8%) in the first 2 days of follow-up. Among care-related variables, referral by hospital units or private psychiatrists led to significantly lower levels of dropout compared to patients referred by the psychiatric emergency unit (respectively: OR = .32; p = .04; 95% CI [.10, .93]; OR = .36; p = .04; 95% CI [.13, .96]; OR = .22; p = .002; 95% CI [.08, .58]). Among patient-related variables, younger age increased the risk of dropout (OR = .96; 95%; p = .002; 95% CI [.94, .99]). Anxiety and personality but not mood disorders were also related to higher rates of dropout (respectively: OR = 2.40; p = .02; 95% CI [1.14, 4.99]; and OR = 1.98; p = .02; 95% CI [1.09, 3.59]). Unipolar depression (72.2%; OR = 1.47; p = .48; 95% CI [.34, 1.21]) was the most frequent primary diagnosis in this sample. This study makes clear the need for increased efforts to improve care adherence in young patients with anxious or personality disorders seen in emergency rooms because they are prone to early discontinuation of treatments. Future studies in this field are warranted to gain

  3. Factors associated with non-participation and dropout among cancer patients in a cluster-randomised controlled trial.

    Science.gov (United States)

    Roick, J; Danker, H; Kersting, A; Briest, S; Dietrich, A; Dietz, A; Einenkel, J; Papsdorf, K; Lordick, F; Meixensberger, J; Mössner, J; Niederwieser, D; Prietzel, T; Schiefke, F; Stolzenburg, J-U; Wirtz, H; Singer, S

    2018-01-01

    We investigated the impact of demographic and disease related factors on non-participation and dropout in a cluster-randomised behavioural trial in cancer patients with measurements taken between hospitalisation and 6 months thereafter. The percentages of non-participation and dropout were documented at each time point. Factors considered to be potentially related with non-participation and dropout were as follows: age, sex, marital status, education, income, employment status, tumour site and stage of disease. Of 1,338 eligible patients, 24% declined participation at baseline. Non-participation was higher in older patients (Odds Ratio [OR] 2.1, CI: 0.6-0.9) and those with advanced disease (OR 2.0, CI: 0.1-1.3). Dropout by 6 months was 25%. Dropout was more frequent with increased age (OR 2.8, CI: 0.8-1.2), advanced disease (OR 3.0, CI: 1.0-1.2), being married (OR 2.4, CI 0.7-1.1) and less frequent with university education (OR 0.4, CI -1.3 to -0.8) and middle income (OR 0.4, CI -0.9 to -0.7). When planning clinical trials, it is important to be aware of patient groups at high risk of non-participation or dropout, for example older patients or those with advanced disease. Trial designs should consider their special needs to increase their rate of participation. © 2017 John Wiley & Sons Ltd.

  4. High School Dropouts: Implications in the Economic Development of West Virginia. Research Paper 9909.

    Science.gov (United States)

    De Sousa, Semoa C. B.; Gebremedhin, Tesfa

    Despite increased government investments in education, West Virginia continues to have one of the nation's highest high school dropout rates and is among the states with the highest unemployment rates. Human capital theory provides the conceptual basis for evaluating the relationship between investment in education and economic development. An…

  5. Longitudinal Predictors of High School Completion

    Science.gov (United States)

    Barry, Melissa; Reschly, Amy L.

    2012-01-01

    This longitudinal study examined predictors of dropout assessed in elementary school. Student demographic data, achievement, attendance, and ratings of behavior from the Behavior Assessment System for Children were used to predict dropout and completion. Two models, which varied on student sex and race, predicted dropout at rates ranging from 75%…

  6. Drop-out probabilities of IrisPlex SNP alleles

    DEFF Research Database (Denmark)

    Andersen, Jeppe Dyrberg; Tvedebrink, Torben; Mogensen, Helle Smidt

    2013-01-01

    In certain crime cases, information about a perpetrator's phenotype, including eye colour, may be a valuable tool if no DNA profile of any suspect or individual in the DNA database matches the DNA profile found at the crime scene. Often, the available DNA material is sparse and allelic drop-out...... of true alleles is possible. As part of the validation of the IrisPlex assay in our ISO17025 accredited, forensic genetic laboratory, we estimated the probability of drop-out of specific SNP alleles using 29 and 30 PCR cycles and 25, 50 and 100 Single Base Extension (SBE) cycles. We observed no drop-out...... when the amount of DNA was greater than 125 pg for 29 cycles of PCR and greater than 62 pg for 30 cycles of PCR. With the use of a logistic regression model, we estimated the allele specific probability of drop-out in heterozygote systems based on the signal strength of the observed allele...

  7. trend and causes of female students dropout from teacher education ...

    African Journals Online (AJOL)

    User

    This article examines the state of female students' enrollment and dismissal rate and major factors ... poor time management, anxiety, financial problems lack of proper guidance, and counseling ..... especially depression, with feelings of low.

  8. School Persistence in the Wake of War: Wartime Experiences, Reintegration Supports, and Dropout in Sierra Leone

    Science.gov (United States)

    Zuilkowski, Stephanie Simmons; Betancourt, Theresa S.

    2014-01-01

    This article examines the relationship of wartime experience and reintegration supports to students' risk of school dropout. It draws on longitudinal, mixed-methods data collected among children and youth in Sierra Leone from 2002 through 2008. The study finds that family financial support and perceived social support are positively associated…

  9. New Zealand Management Students' Perceptions of Communication Technologies in Correspondence Education.

    Science.gov (United States)

    Ostman, Ronald E.; Wagner, Graham A.

    1987-01-01

    Describes a survey of 724 management students in New Zealand's Technical Correspondence Institute which was conducted to determine whether the introduction of educational technologies could decrease the dropout rate. The multiple linear regression model that was used to analyze the questionnaire responses is presented, and predictor variables are…

  10. Student progression on time

    DEFF Research Database (Denmark)

    Sarauw, Laura Louise

    more quickly and make them more fit for the labour market like the Danish government presumes? Will this be at the expense of leaving students with fragmented knowledge and superficial understandings as suggested by the critics? And what happens to the dropout rates and the ‘Nordic’ ideals of equal...... by flexibility. Before the reform, the system was increasingly required to facilitate transfer of credits and make it easier for students to compose more personalized learning portfolios, which can include courses from different institutions and study programmes. The latter is very much in line with the ideas...

  11. Locating the Dropout Crisis. Which High Schools Produce the Nation's Dropouts? Where Are They Located? Who Attends Them? Report 70

    Science.gov (United States)

    Balfanz, Robert; Legters, Nettie

    2004-01-01

    The purpose of this report was to locate the dropout crisis- to determine its scale and scope by identifying the number of high schools with severe dropout problems, detailing the states, cities, and locales where they are concentrated, and establishing who attends them. For this analysis of high schools across the country, two cut-points were…

  12. Comparing Dropout Predictors for Two State-Level Panels Using Grade 6 and Grade 8 Data

    Science.gov (United States)

    Franklin, Bobby J.; Trouard, Stephen B.

    2016-01-01

    The purpose of this study was to examine the effectiveness of dropout predictors across time. Two state-level high school graduation panels were selected to begin with the seventh and ninth grades but end at the same time. The first panel (seventh grade) contained 29,554 students and used sixth grade predictors. The second panel (ninth grade)…

  13. School Dropouts in Perspective.

    Science.gov (United States)

    Sherraden, Michael W.

    1986-01-01

    Discusses aspects of the school dropout problem: figures and trends, related youth problems (unemployment, crime and vandalism, drug and alcohol abuse, political alienation, teen pregnancy and childbirth, homicide and suicide), and suggestions for solving the problem. (CT)

  14. Uneven Meibomian Gland Dropout Over the Tarsal Plate and its Correlation With Meibomian Gland Dysfunction.

    Science.gov (United States)

    Yin, Yue; Gong, Lan

    2015-10-01

    To evaluate the distribution of meibomian gland dropout and analyze the correlation between dropout and meibomian gland dysfunction (MGD). A total of 161 eyes of 85 patients with MGD were recruited as the MGD group; 88 eyes of 46 health volunteers were enrolled as the control group (2:1 matched for age and sex). Examinations included the Schirmer I test, breakup time, symptom questionnaire, corneal fluorescein staining, meibum quality, meibomian gland expressibility, and meibomian gland dropout. (1) The incidences of chalazion and eyelid surgery were significantly higher in patients with MGD. (2) All clinical indexes were better in healthy volunteers (all P dropout in the upper eyelid was statistically lower (P dropout than did the middle part, except in the lower eyelid of the control group. (4) The entire or partial dropout was positively related to MGD occurrence. Both additive dropout of the entire 2 eyelids and that of the 2 nasal parts had the strongest correlation (r = 0.792, P dropout (r = -0.229, P dropout of additive (r = 0.185, P dropouts exist in different or single eyelids. (2) Dropout evaluation is better when covering the entire area of both upper and lower meibomians. (3) Nasal part dropout plays a more essential role than the other dropouts in MGD occurrence.

  15. Teacher-student relationship climate and school outcomes: implications for educational policy initiatives.

    Science.gov (United States)

    Barile, John P; Donohue, Dana K; Anthony, Elizabeth R; Baker, Andrew M; Weaver, Scott R; Henrich, Christopher C

    2012-03-01

    In recent discussions regarding concerns about the academic achievement of US students, educational policy makers have suggested the implementation of certain teacher policies. To address the limited empirical research on the putative educational impact of such policies, this study used multilevel structural equation models to investigate the longitudinal associations between teacher evaluation and reward policies, and student mathematics achievement and dropout with a national sample of students (n = 7,779) attending one of 431 public high schools. The student sample included an equal number of boys and girls averaging 16 years of age, and included a White (53%) majority. This study examined whether associations between teacher policies and student achievement were mediated by the teacher-student relationship climate. Results of this study were threefold. First, teacher evaluation policies that allowed students to evaluate their teachers were associated with more positive student reports of the classroom teaching climate. Second, schools with teacher reward policies that included assigning higher performing teachers with higher performing students had a negative association with student perceptions of the teaching climate. Lastly, schools with better student perceptions of the teaching climate were associated with lower student dropout rates by students' senior year. These findings are discussed in light of their educational policy implications.

  16. "Não havia outra saída": percepções de alunos evadidos sobre o abandono do curso superior "There was no other way": dropout students" perceptions on leaving higher education

    Directory of Open Access Journals (Sweden)

    Marucia Patta Bardagi

    2009-04-01

    Full Text Available A evasão no Ensino Superior é um fenômeno em expansão no Brasil, mas são poucos os estudos sobre as características da evasão e suas consequências na vida do estudante. Este estudo, parte de uma tese de doutorado sobre desenvolvimento de carreira na graduação, buscou identificar as razões da insatisfação de carreira e as percepções sobre a evasão em oito alunos evadidos, três mulheres e cinco homens entre 20 e 25 anos (M=22,6, de diferentes áreas, que abandonaram o curso em diferentes momentos da graduação. Por meio de entrevistas foi possível identificar a fragilidade das escolhas iniciais, a pouca atividade exploratória e as expectativas irrealistas de carreira. Ainda, a decisão de evadir foi majoritariamente impulsiva, causada por uma insatisfação de longo prazo e não relacionada a novas escolhas de carreira. Estes resultados apontam a necessidade de estratégias que favoreçam a atividade exploratória e de serviços de apoio ao estudante universitário.University dropout is a phenomenon that is increasing in Brazil but there are few studies about the characteristics of dropout and its consequences for the student"s life. This study, part of a doctoral dissertation on vocational development in Higher Education, aimed to identify the reasons for career dissatisfaction and evasion in eight dropout students, three women and five men between 20 and 25 years-old (M=22,6, undergraduates in different areas who abandoned the university at different moments. Through interviews, it was possible to identify the fragility of the initial choices, little exploratory activity, and unrealistic career expectations. Besides, the decision to drop out was mostly impulsive, caused largely by long term dissatisfaction, and unrelated with new career choices. These results pointed out that strategies that emphasize exploratory behavior are important, along with support services to college students.

  17. Predictors of treatment dropout in self-guided web-based interventions for depression: an 'individual patient data' meta-analysis.

    Science.gov (United States)

    Karyotaki, E; Kleiboer, A; Smit, F; Turner, D T; Pastor, A M; Andersson, G; Berger, T; Botella, C; Breton, J M; Carlbring, P; Christensen, H; de Graaf, E; Griffiths, K; Donker, T; Farrer, L; Huibers, M J H; Lenndin, J; Mackinnon, A; Meyer, B; Moritz, S; Riper, H; Spek, V; Vernmark, K; Cuijpers, P

    2015-10-01

    It is well known that web-based interventions can be effective treatments for depression. However, dropout rates in web-based interventions are typically high, especially in self-guided web-based interventions. Rigorous empirical evidence regarding factors influencing dropout in self-guided web-based interventions is lacking due to small study sample sizes. In this paper we examined predictors of dropout in an individual patient data meta-analysis to gain a better understanding of who may benefit from these interventions. A comprehensive literature search for all randomized controlled trials (RCTs) of psychotherapy for adults with depression from 2006 to January 2013 was conducted. Next, we approached authors to collect the primary data of the selected studies. Predictors of dropout, such as socio-demographic, clinical, and intervention characteristics were examined. Data from 2705 participants across ten RCTs of self-guided web-based interventions for depression were analysed. The multivariate analysis indicated that male gender [relative risk (RR) 1.08], lower educational level (primary education, RR 1.26) and co-morbid anxiety symptoms (RR 1.18) significantly increased the risk of dropping out, while for every additional 4 years of age, the risk of dropping out significantly decreased (RR 0.94). Dropout can be predicted by several variables and is not randomly distributed. This knowledge may inform tailoring of online self-help interventions to prevent dropout in identified groups at risk.

  18. Gambling Disorder: Exploring Pre-treatment and In-treatment Dropout Predictors. A UK Study.

    Science.gov (United States)

    Ronzitti, Silvia; Soldini, Emiliano; Smith, Neil; Clerici, Massimo; Bowden-Jones, Henrietta

    2017-12-01

    The aim of this study was to identify predictors of treatment dropout in a sample of gamblers attending a specialist clinic for gambling disorder. We analysed data on 846 treatment-seeking pathological gamblers. Firstly, we investigated differences in socio-demographic and clinical variables between treatment completers and pre-treatment dropouts, as well as between treatment completers and during-treatment dropouts. Subsequently, variables were entered into a multinomial logistic regression model to identify significant predictors of pre-treatment and in-treatment dropout. Overall, 44.8% of clients did not complete the treatment: 27.4% dropped out before starting it, while 17.4% dropped out during the treatment. Younger age and use of drugs were associated with pre-treatment dropout, while family history of gambling disorder, a lower PGSI score, and being a smoker were related with in-treatment dropout. Our findings suggest that pre-treatment dropouts differ from in-treatment dropouts, and, thus, further research will benefit from considering these groups separately. In addition, this newly gained knowledge will also be helpful in increasing treatment retention in specific subgroups of problem gamblers.

  19. Individual, Social, and Family Factors Associated with High School Dropout among Low-SES Youth: Differential Effects as a Function of Immigrant Status

    Science.gov (United States)

    Archambault, Isabelle; Janosz, Michel; Dupéré, Véronique; Brault, Marie-Christine; Andrew, Marie Mc

    2017-01-01

    Background: In most Western countries, the individual, social, and family characteristics associated with students' dropout in the general population are well documented. Yet, there is a lack of large-scale studies to establish whether these characteristics have the same influence for students with an immigrant background. Aims: The first aim of…

  20. Impact of dropout of female volunteer community health workers: An exploration in Dhaka urban slums

    Directory of Open Access Journals (Sweden)

    Alam Khurshid

    2012-08-01

    Full Text Available Abstract Background The model of volunteer community health workers (CHWs is a common approach to serving the poor communities in developing countries. BRAC, a large NGO in Bangladesh, is a pioneer in this area, has been using female CHWs as core workers in its community-based health programs since 1977. After 25 years of implementing of the CHW model in rural areas, BRAC has begun using female CHWs in urban slums through a community-based maternal health intervention. However, BRAC experiences high dropout rates among CHWs suggesting a need to better understand the impact of their dropout which would help to reduce dropout and increase program sustainability. The main objective of the study was to estimate impact of dropout of volunteer CHWs from both BRAC and community perspectives. Also, we estimated cost of possible strategies to reduce dropout and compared whether these costs were more or less than the costs borne by BRAC and the community. Methods We used the ‘ingredient approach’ to estimate the cost of recruiting and training of CHWs and the so-called ‘friction cost approach’ to estimate the cost of replacement of CHWs after adapting. Finally, we estimated forgone services in the community due to CHW dropout applying the concept of the friction period. Results In 2009, average cost per regular CHW was US$ 59.28 which was US$ 60.04 for an ad-hoc CHW if a CHW participated a three-week basic training, a one-day refresher training, one incentive day and worked for a month in the community after recruitment. One month absence of a CHW with standard performance in the community meant substantial forgone health services like health education, antenatal visits, deliveries, referrals of complicated cases, and distribution of drugs and health commodities. However, with an additional investment of US$ 121 yearly per CHW BRAC could save another US$ 60 invested an ad-hoc CHW plus forgone services in the community. Conclusion Although CHWs

  1. A packet-based dual-rate PID control strategy for a slow-rate sensing Networked Control System.

    Science.gov (United States)

    Cuenca, A; Alcaina, J; Salt, J; Casanova, V; Pizá, R

    2018-05-01

    This paper introduces a packet-based dual-rate control strategy to face time-varying network-induced delays, packet dropouts and packet disorder in a Networked Control System. Slow-rate sensing enables to achieve energy saving and to avoid packet disorder. Fast-rate actuation makes reaching the desired control performance possible. The dual-rate PID controller is split into two parts: a slow-rate PI controller located at the remote side (with no permanent communication to the plant) and a fast-rate PD controller located at the local side. The remote side also includes a prediction stage in order to generate the packet of future, estimated slow-rate control actions. These actions are sent to the local side and converted to fast-rate ones to be used when a packet does not arrive at this side due to the network-induced delay or due to occurring dropouts. The proposed control solution is able to approximately reach the nominal (no-delay, no-dropout) performance despite the existence of time-varying delays and packet dropouts. Control system stability is ensured in terms of probabilistic Linear Matrix Inequalities (LMIs). Via real-time control for a Cartesian robot, results clearly reveal the superiority of the control solution compared to a previous proposal by authors. Copyright © 2018 ISA. Published by Elsevier Ltd. All rights reserved.

  2. Academic integration of university students as a determining factor of student dropout in the short term. An analysis of the distance education system in Ecuador

    Directory of Open Access Journals (Sweden)

    Luis Fabian Moncada Mora

    2014-06-01

    Full Text Available This study addresses the problem of the abandonment (dropout of university students from the point of view of their level of integration. This approach is used with the aim of locating the factor(s that provide(s the greatest amount of information regarding the decision to continue or to abandon one’s studies. The theoretical characterization of this phenomenon has become one of the underlying factors that are used to explain the theory behind students dropping out of their courses. Based on this theory, we can determine the incidence of student drop out, and determine the (high incidence, where immediate results serve as a means of measuring academic integration and the decision to continue or to quit one’s studies. Statistical information is grouped in such a way that it is possible to follow the guidelines and expectations outlined in the theory and also helps us to understand typical characteristics of this phenomenon. To generate empirical evidence, we worked with data from 6,715 students, who belonged to the April-August 2012 group at the Universidad Técnica Particular de Loja,  which represents 82% of the student population of Ecuador enrolled in the distance learning system. Evidence for this study was obtained from the following sources: first, there was a description of the data and an application of the characterization process. In this phase, it was determined that 40.6% of students dropped out for academic reasons; 8.9% dropped out for non-academic reasons; 32.6% stayed for academic reasons; and 17.5% remained for non-academic reasons. Second, we estimated probabilistic models that confirmed the negative relationship between the immediate results (calculated as an average of academic integration and factors concerning the decision to quit one’s studies.

  3. Work Experience in Relation to Study Pace and Thesis Grade: Investigating the Mediating Role of Student Learning

    Science.gov (United States)

    Tuononen, Tarja; Parpala, Anna; Mattsson, Markus; Lindblom-Ylänne, Sari

    2016-01-01

    University students often work during their studies, and working is considered to be one reason for high dropout rates or slow progress in studies. Moreover, the nature of students' work experience varies greatly. The study aimed to explore how working while studying is related to study success, and took approaches to learning and the nature of…

  4. Family Background and University Dropouts during the Crisis: The Case of Italy

    Science.gov (United States)

    Ghignoni, Emanuela

    2017-01-01

    The Italian university system has long been characterised by high non-completion rates, though aggregate data show a slight reduction of dropouts in recent years. The most straightforward theoretical explanation for this lies in the lowering opportunity cost of studying due to the financial and economic crisis. Nonetheless, this interpretation is…

  5. State-level high school completion rates: Concepts, measures, and trends.

    Directory of Open Access Journals (Sweden)

    John Robert Warren

    2005-12-01

    Full Text Available Since the mid 1970s the national rate at which incoming 9th graders have completed high school has fallen slowly but steadily; this is also true in 41 states. In 2002, about three in every four students who might have completed high school actually did so; in some states this figure is substantially lower. In this paper I review state-level measures of high school completion rates and describe and validate a new measure that reports these rates for 1975 through 2002. Existing measures based on the Current Population Survey are conceptually imperfect and statistically unreliable. Measures based on Common Core Data (CCD dropout information are unavailable for many states and have different conceptual weaknesses. Existing measures based on CCD enrollment and completion data are systematically biased by migration, changes in cohort size, and/or grade retention. The new CCD-based measure described here is considerably less biased, performs differently in empirical analyses, and gives a different picture of the dropout situation across states and over time.

  6. The role of nailfold capillary dropout on mortality in systemic sclerosis.

    Science.gov (United States)

    Tieu, Joanna; Hakendorf, Paul; Woodman, Richard J; Patterson, Karen; Walker, Jenny; Roberts-Thomson, Peter

    2018-05-01

    Semi-quantitative wide-field nailfold capillaroscopy (NFC) is a simple technique with proven utility in the early diagnosis of systemic sclerosis (SSc). Its role in prognosis, however, remains uncertain. To investigate the possible utility of NFC in predicting survival. Patients with SSc listed on the South Australian Scleroderma Register (SASR) with prior NFC performed at Flinders Medical Centre from 1991 to 2015 were included in this study. Baseline demographic data, diagnosis, scleroderma antibody status and mortality status were also collected for each patient. The cohort consisted of 99 patients with limited cutaneous SSc, 30 patients with diffuse cutaneous SSc and 23 with an overlap scleroderma syndrome. Fifty-six patients died during the period of study (censured end June 2015). Patients with diffuse scleroderma had significantly greater capillary dropout compared with limited and overlap scleroderma (P dropout scores (log-rank χ 2 = 8.75, P = 0.003) and antibody status (log-rank χ 2 = 13.94, P = 0.003) were associated with mortality. ANOVA showed a significant association between antibody status and capillary dropout (P dropout attenuated the impact of autoantibody group on survival. Nailfold capillary dropout was significantly associated with mortality and the severity of dropout attenuates survival dictated by antibody status. Together these observations support the hypothesis that capillary dropout is on the causal pathway between induction of scleroderma associated autoantibodies and mortality. © 2018 Royal Australasian College of Physicians.

  7. Factors associated with dropout among patients in opioid maintenance treatment (OMT) and predictors of re-entry. A national registry-based study.

    Science.gov (United States)

    Bukten, Anne; Skurtveit, Svetlana; Waal, Helge; Clausen, Thomas

    2014-10-01

    Retention in treatment is often highlighted as one of the key indicators of success in opioid maintenance treatment (OMT). To identify factors associated with long-term retention in opioid maintenance treatment and to analyse predictors of subsequent treatment episodes. Treatment retention and re-entry were examined for a national cohort of patients admitted to OMT in Norway in the period 1997-2003. Multivariate Cox regression models were used to investigate factors associated with treatment dropout 18months after treatment entry. The 18month retention rate among patients admitted to OMT in Norway (n=2431) was 65.8% (n=1599). Dropout from OMT within 18months was associated with younger age (HR 0.97 [0.96-0.98]), high levels of general pre-treatment criminal offences (HR 1.66 [1.32-2.09]) and having drug-related offences during the 30days prior to dropout (HR 1.80 [1.36-2.38]). Of the patients who dropped out (n=832), 42.7% (n=355) were re-engaged in subsequent treatment episodes. Pre-treatment criminal offences were associated with increased odds for treatment re-entry, whereas being younger and having drug-related offences during the first OMT episode were associated with lower odds for re-engagement in OMT. Gender was not associated with treatment dropout and re-entry. High levels of pre-treatment criminal offences and drug offences during the 30days prior to dropout were associated with treatment dropout. Efforts to increase support services to these patients may contribute to higher rates of retention in OMT. Copyright © 2014 Elsevier Ltd. All rights reserved.

  8. Illness perception of dropout patients followed up at bipolar outpatient clinic, Turkey.

    Science.gov (United States)

    Oflaz, Serap; Guveli, Hulya; Kalelioglu, Tevfik; Akyazı, Senem; Yıldızhan, Eren; Kılıc, Kasım Candas; Basyigit, Sehnaz; Ozdemiroglu, Filiz; Akyuz, Fatma; Gokce, Esra; Bag, Sevda; Kurt, Erhan; Oral, Esat Timucin

    2015-06-01

    Dropout is a common problem in the treatment of psychiatric illnesses including bipolar disorders (BD). The aim of the present study is to investigate illness perceptions of dropout patients with BD. A cross sectional study was done on the participants who attended the Mood Disorder Outpatient Clinic at least 3 times from January 2003 through June 2008, and then failed to attend clinic till to the last one year, 2009, determined as dropout. Thirty-nine dropout patients and 39 attendent patients with BD were recruited for this study. A sociodemographic form and brief illness perception questionnaire were used to capture data. The main reasons of patients with BD for dropout were difficulties of transport (31%), to visit another doctor (26%), giving up drugs (13%) and low education level (59%) is significant for dropout patients. The dropout patients reported that their illness did not critically influence their lives, their treatment had failed to control their illnesses, they had no symptoms, and that their illness did not emotionally affect them. In conclusion, the nonattendance of patients with serious mental illness can result in non-compliance of therapeutic drug regimens, and a recurrence of the appearance symptoms. The perception of illness in dropout patients with BD may be important for understanding and preventing nonattendance. Copyright © 2015 Elsevier B.V. All rights reserved.

  9. Correlates of school dropout and absenteeism among adolescent girls from marginalized community in north Karnataka, south India.

    Science.gov (United States)

    Prakash, Ravi; Beattie, Tara; Javalkar, Prakash; Bhattacharjee, Parinita; Ramanaik, Satyanarayana; Thalinja, Raghavendra; Murthy, Srikanta; Davey, Calum; Blanchard, James; Watts, Charlotte; Collumbien, Martine; Moses, Stephen; Heise, Lori; Isac, Shajy

    2017-12-01

    Secondary education among lower caste adolescent girls living in rural Karnataka, South India, is characterized by high rates of school drop-out and absenteeism. A cross-sectional baseline survey (N=2275) was conducted in 2014 as part of a cluster-randomized control trial among adolescent girls (13-14 year) and their families from marginalized communities in two districts of north Karnataka. Bivariate and multivariate logistic regression models were used. Overall, 8.7% girls reported secondary school dropout and 8.1% reported frequent absenteeism (past month). In adjusted analyses, economic factors (household poverty; girls' work-related migration), social norms and practices (child marriage; value of girls' education), and school-related factors (poor learning environment and bullying/harassment at school) were associated with an increased odds of school dropout and absenteeism. Interventions aiming to increase secondary school retention among marginalized girls may require a multi-level approach, with synergistic components that address social, structural and economic determinants of school absenteeism and dropout. Copyright © 2017 The Authors. Published by Elsevier Ltd.. All rights reserved.

  10. Problems With Using Patient Retention in the Evaluation of Mental Health Providers: Differences in Type of Dropout.

    Science.gov (United States)

    Brown, Halley J; Andreason, Hope; Melling, Amy K; Imel, Zac E; Simon, Gregory E

    2015-08-01

    Retention, or its opposite, dropout, is a common metric of psychotherapy quality, but using it to assess provider performance can be problematic. Differences among providers in numbers of general dropouts, "good" dropouts (patients report positive treatment experiences and outcome), and "bad" dropouts (patients report negative treatment experiences and outcome) were evaluated. Patient records were paired with satisfaction surveys (N=3,054). Binomial mixed-effects models were used to examine differences among providers by dropout type. Thirty-four percent of treatment episodes resulted in dropout. Of these, 14% were bad dropouts and 27% were good dropouts. Providers accounted for approximately 17% of the variance in general dropout and 10% of the variance in both bad dropout and good dropout. The ranking of providers fluctuated by type of dropout. Provider assessments based on patient retention should offer a way to isolate dropout type, given that nonspecific metrics may lead to biased estimates of performance.

  11. Reasons for dropout in swimmers, differences between gender and age and intentions to return to competition.

    Science.gov (United States)

    Monteiro, Diogo M; Marinho, Daniel A; Moutão, João M; Vitorino, Anabela P; Antunes, Raúl N; Cid, Luís

    2018-01-01

    This study's main purpose was to analyze reasons for dropout in competitive swimmers and differences between gender and age groups. The influence of dropout on swimmers intentions to return to competition, invariance across gender and validation of Questionnaire of Reasons for Attrition were also analyzed. Study 1 - 366 athletes participated (N.=366; mean age 15.96, SD 5.99) and the data gathered was used for the exploratory analysis, and data gathered on 1008 athletes were used for the confirmatory analysis and the structural equations (N.=1008; mean age 16.26, SD 6.12); Study 2: 1008 athletes participated (N.=1008; mean age 16.26, SD 6.12) on the descriptive and inferential analysis of the reasons behind the practice dropout. The Questionnaire of Reasons Attrition was used in both studies to assess the reasons associated with the practice dropout. In study 1, the results showed an acceptable fit of the measurement model and invariance across gender and also predictive validity regarding swimmers intentions to return to competition (e.g., "demands/pressure" negatively predict intentions). In study 2, the main results showed that the most significant reason for dropout in both genders and all age groups was "dissatisfaction/other priorities"; the study also showed there to be differences between gender and age groups (e.g., female and younger athletes valued "demands/ pressure "more). This study offers useful guidelines for the training process and to support decisions on sports politics to be implemented to overcome the dropout rate. However, it is important to broaden the evidence to other sports and implement programs on identified priority areas based on longitudinal perspectives.

  12. Modeling the Magnetopause Shadowing Loss during the October 2012 Dropout Event

    Science.gov (United States)

    Tu, Weichao; Cunningham, Gregory

    2017-04-01

    The relativistic electron flux in Earth's outer radiation belt are observed to drop by orders of magnitude on timescales of a few hours, which is called radiation belt dropouts. Where do the electrons go during the dropouts? This is one of the most important outstanding questions in radiation belt studies. Radiation belt electrons can be lost either by precipitation into the atmosphere or by transport across the magnetopause into interplanetary space. The latter mechanism is called magnetopause shadowing, usually combined with outward radial diffusion of electrons due to the sharp radial gradient it creates. In order to quantify the relative contribution of these two mechanisms to radiation belt dropout, we performed an event study on the October 2012 dropout event observed by Van Allen Probes. First, the precipitating MeV electrons observed by multiple NOAA POES satellites at low altitude did not show evidence of enhanced precipitation during the dropout, which suggested that precipitation was not the dominant loss mechanism for the event. Then, in order to simulate the magnetopause shadowing loss and outward radial diffusion during the dropout, we applied a radial diffusion model with electron lifetimes on the order of electron drift periods outside the last closed drift shell. In addition, realistic and event-specific inputs of radial diffusion coefficients (DLL) and last closed drift shell (LCDS) were implemented in the model. Specifically, we used the new DLL developed by Cunningham [JGR 2016] which were estimated in realistic TS04 [Tsyganenko and Sitnov, JGR 2005] storm time magnetic field model and included physical K (2nd adiabatic invariant) or pitch angle dependence. Event-specific LCDS traced in TS04 model with realistic K dependence was also implemented. Our simulation results showed that these event-specific inputs are critical to explain the electron dropout during the event. The new DLL greatly improved the model performance at low L* regions (L*dropout

  13. Effect of child marriage on girls' school dropout in Nepal: Analysis of data from the Multiple Indicator Cluster Survey 2014.

    Directory of Open Access Journals (Sweden)

    Kazutaka Sekine

    Full Text Available School dropout and child marriage are interrelated outcomes that have an enormous impact on adolescent girls. However, the literature reveals gaps in the empirical evidence on the link between child marriage and the dropout of girls from school. This study identifies the 'tipping point' school grades in Nepal when the risk of dropout due to marriage is highest, measures the effect of child marriage on girls' school dropout rates, and assesses associated risk factors. Weighted percentages were calculated to examine the grades at highest risk and the distribution of reasons for discontinuing school. Using the Nepal Multiple Indicator Cluster Survey (MICS 2014 data, we estimated the effect of marriage on school attendance and dropout among girls aged 15-17 by constructing logistic regression models. A multivariate logistic regression model was used to assess risk factors of school dropout due to child marriage. It was found that early marriage is the most common reason given for leaving school. Overall, the risk of school dropout due to marriage heightens after girls complete the fifth or sixth grade. The risk of girls' dropping out peaks in the seventh and eighth grades and remains noteworthy in the ninth and tenth grades. Married girls in Nepal are 10 times more likely to drop out than their unmarried peers. Little or no education of the household head, belonging to the Kirat religion, and membership of a traditionally disadvantaged social class each elevate the risk of school dropout due to early marriage. The findings underscore the need to delay girl's marriage so as to reduce girls' school dropout in Nepal. School-based programmes aimed at preventing child marriage should target girls from the fifth grade because they are at increased risk of dropping out, as well as prioritizing girls from disadvantaged groups.

  14. The therapeutic alliance and therapist adherence as predictors of dropout from cognitive therapy for depression when combined with antidepressant medication.

    Science.gov (United States)

    Cooper, Andrew A; Strunk, Daniel R; Ryan, Elizabeth T; DeRubeis, Robert J; Hollon, Steven D; Gallop, Robert

    2016-03-01

    Previous psychotherapy research has examined the therapeutic alliance and therapist adherence as correlates or predictors of symptom change. While some initial evidence suggests the alliance is associated with risk of dropout in cognitive behavioral treatment for depression, evidence of such relations has been limited to date. We examined the relation of these psychotherapy process variables and dropout in the context of cognitive therapy for depression when provided in combination with pharmacotherapy. Patients were randomized to the CT plus pharmacotherapy condition of a clinical trial for chronic or recurrent depression. Consistent with the spirit of personalized medicine, patients were treated until they met remission and recovery criteria (or reached the maximum allowable time in the study). In a sample of 176 patients, we examined observer-rated alliance and therapist adherence in the first three CT sessions as potential predictors of treatment dropout. The therapeutic alliance and one facet of therapist adherence (i.e., Behavioral Methods/Homework) predicted reduced odds of dropout. Therapist use of Negotiating/Structuring predicted greater likelihood of dropout, but only when other variables were included in the model. Process ratings were not available for concurrent pharmacotherapy sessions. A minority of patients did not have session recordings available. Results are consistent with the possibility that the therapeutic alliance and therapists' focus on homework and behavioral methods promote treatment retention in combined treatment for depression. Copyright © 2015 Elsevier Ltd. All rights reserved.

  15. Dropout of Children from schools in Nepal

    OpenAIRE

    Wagle, Dhirendra

    2012-01-01

    Nepal, a developing country of the south-asian region has bigger problem of children not completing the full cycle of basic education. In other words, large number of children dropout of schools, especially in the primary and secondary level of schooling. Especially, the situation is worse for those of the backward and socially disadvantaged populations and of the rural and the remote areas. Being in this frame, this study focused on the reasons of dropout of children from schools and the pos...

  16. Barriers for Nonparticipation and Dropout of Women in Cardiac Rehabilitation Programs: A Systematic Review.

    Science.gov (United States)

    Resurrección, Davinia M; Motrico, Emma; Rigabert, Alina; Rubio-Valera, Maria; Conejo-Cerón, Sonia; Pastor, Luis; Moreno-Peral, Patricia

    2017-08-01

    Cardiovascular disease (CVD) is a major health problem worldwide. Cardiac rehabilitation (CR) programs are effective in reducing mortality and improving the quality of life of patients with CVD. Women are under-represented in CR and have a higher dropout rate than men. We aimed to systematically review the literature on barriers perceived by women with CVD affecting their nonparticipation in and/or dropping out from CR programs. Systematic review was done using MEDLINE, Embase, Scopus, Open Grey, and Cochrane Database from inception to September 2016. Search terms included (1) heart disease and other cardiac conditions, (2) CR and secondary prevention, and (3) nonparticipation in and/or dropout. Databases were searched following the "participants, interventions, comparisons, outcomes, and study design" method. A total of 24 studies (17 descriptive, 6 qualitative, and 1 randomized controlled trial) reporting several barriers were grouped into five broad categories: intrapersonal barriers (self-reported health, health beliefs, lack of time, motivation, and religious reasons); interpersonal barriers (lack of family/social support and work conflicts); logistical barriers (transport, distance, and availability of personal/community resources); CR program barriers (services offered, group format, exercise component, and CR sessions); and health system barriers (lack of referral, cost, negative experiences with the health system, and language). We found differences between the barriers related to nonparticipation in and dropout from CR programs. Women reported multilevel barriers for nonparticipation in and dropout from CR programs. Future clinical guidelines should evaluate and eliminate these barriers to improve adherence to CR programs in women. In addition, understanding the barriers for nonparticipation and dropout may be beneficial for future intervention trials.

  17. A varying-coefficient method for analyzing longitudinal clinical trials data with nonignorable dropout

    Science.gov (United States)

    Forster, Jeri E.; MaWhinney, Samantha; Ball, Erika L.; Fairclough, Diane

    2011-01-01

    Dropout is common in longitudinal clinical trials and when the probability of dropout depends on unobserved outcomes even after conditioning on available data, it is considered missing not at random and therefore nonignorable. To address this problem, mixture models can be used to account for the relationship between a longitudinal outcome and dropout. We propose a Natural Spline Varying-coefficient mixture model (NSV), which is a straightforward extension of the parametric Conditional Linear Model (CLM). We assume that the outcome follows a varying-coefficient model conditional on a continuous dropout distribution. Natural cubic B-splines are used to allow the regression coefficients to semiparametrically depend on dropout and inference is therefore more robust. Additionally, this method is computationally stable and relatively simple to implement. We conduct simulation studies to evaluate performance and compare methodologies in settings where the longitudinal trajectories are linear and dropout time is observed for all individuals. Performance is assessed under conditions where model assumptions are both met and violated. In addition, we compare the NSV to the CLM and a standard random-effects model using an HIV/AIDS clinical trial with probable nonignorable dropout. The simulation studies suggest that the NSV is an improvement over the CLM when dropout has a nonlinear dependence on the outcome. PMID:22101223

  18. Migrant Hispanic Students Speak Up: Linguistic and Cultural Perspectives on Low Academic Attainment

    Science.gov (United States)

    Schwieter, John W.

    2011-01-01

    The Hispanic population and their high school dropout rates in the United States have greatly increased over the last several decades. This study investigates linguistic and cultural issues that may have an association with high school abandonment among migrant Hispanic students. Open-ended interview questions were posed to a bilingual education…

  19. Understanding Why Students Drop Out of High School, According to Their Own Reports

    Directory of Open Access Journals (Sweden)

    Jonathan Jacob Doll

    2013-10-01

    Full Text Available Research on school dropout extends from early 20th-century pioneers until now, marking trends of causes and prevention. However, specific dropout causes reported by students from several nationally representative studies have never been examined together, which, if done, could lead to a better understanding of the dropout problem. Push, pull, and falling out factors provide a framework for understanding dropouts. Push factors include school-consequence on attendance or discipline. Pull factors include out-of-school enticements like jobs and family. Finally, falling out factors refer to disengagement in students not caused by school or outside pulling factors. Since 1966, most nationally representative studies depicted pull factors as ranking the highest. Also, administrators in one study corroborated pull out factors for younger dropouts, not older ones, while most recent research cites push factors as highest overall. One rationale for this change is a response to rising standards from No Child Left Behind (NCLB, which can be ultimately tested only by future dropout research.

  20. Is obesity associated with school dropout? Key developmental and ethnic differences

    Science.gov (United States)

    Lanza, H. Isabella; Huang, David Y.C.

    2015-01-01

    Background We aimed to expand the literature on child obesity and school outcomes by examining associations between obesity and high school dropout, including the role of obesity onset and duration as well as ethnicity. Methods Data on 5066 children obtained between 1986 and 2010 from the child cohort of the 1979 National Longitudinal Study of Youth (NLSY79) were analyzed. Group-based trajectory analysis identified obesity trajectories from 6-18 years. School completion information from age 14 into young adulthood was used to calculate school dropout. Chi-square and pairwise comparison tests were used to identify significant associations between obesity trajectories and school dropout. Results Adolescents belonging to an increasing trajectory (adolescent-onset obesity) had a higher likelihood of dropping out of high school compared to those belonging to chronic, decreasing (childhood-only obesity), and non-obese trajectories. This association was particularly salient among white adolescents. Conclusions Obesity onset during early adolescence increased risk of high school dropout. White adolescents were particularly vulnerable. Given that early adolescence is marked by significant biological and social changes, future research should seek to identify the underlying processes linking adolescent-obesity and school dropout to decrease school dropout risk among this vulnerable population. PMID:26331748

  1. Medical school attrition-beyond the statistics a ten year retrospective study.

    Science.gov (United States)

    Maher, Bridget M; Hynes, Helen; Sweeney, Catherine; Khashan, Ali S; O'Rourke, Margaret; Doran, Kieran; Harris, Anne; Flynn, Siun O'

    2013-01-31

    Medical school attrition is important--securing a place in medical school is difficult and a high attrition rate can affect the academic reputation of a medical school and staff morale. More important, however, are the personal consequences of dropout for the student. The aims of our study were to examine factors associated with attrition over a ten-year period (2001-2011) and to study the personal effects of dropout on individual students. The study included quantitative analysis of completed cohorts and qualitative analysis of ten-year data. Data were collected from individual student files, examination and admission records, exit interviews and staff interviews. Statistical analysis was carried out on five successive completed cohorts. Qualitative data from student files was transcribed and independently analysed by three authors. Data was coded and categorized and key themes were identified. Overall attrition rate was 5.7% (45/779) in 6 completed cohorts when students who transferred to other medical courses were excluded. Students from Kuwait and United Arab Emirates had the highest dropout rate (RR = 5.70, 95% Confidence Intervals 2.65 to 12.27;p psychological morbidity in 40% (higher than other studies). Qualitative analysis revealed recurrent themes of isolation, failure, and despair. Student Welfare services were only accessed by one-third of dropout students. While dropout is often multifactorial, certain red flag signals may alert us to risk of dropout including non-EU origin, academic struggling, absenteeism, social isolation, depression and leave of absence. Psychological morbidity amongst dropout students is high and Student Welfare services should be actively promoted. Absenteeism should prompt early intervention. Behind every dropout statistic lies a personal story. All medical schools have a duty of care to support students who leave the medical programme.

  2. Dropout and completion in higher education in Europe: main report

    NARCIS (Netherlands)

    Vossensteyn, Johan J.; Kottmann, Andrea; Jongbloed, Benjamin W.A.; Kaiser, Franciscus; Cremonini, Leon; Stensaker, Bjorn; Hovdhaugen, Elisabeth; Wollscheid, Sabine

    2015-01-01

    Improving completion and reducing dropout in higher education are key concerns for higher education in Europe. This study on dropout and completion in higher education in Europe demonstrates that national governments and higher education institutions use three different study success objectives:

  3. The High Cost of Low Graduation Rates in North Carolina. School Choice Issues in the State

    Science.gov (United States)

    Gottlob, Brian J.

    2007-01-01

    North Carolina has a dropout crisis--only two thirds of North Carolina high school students graduate. One reason this crisis has not received the attention it deserves is because the state was reporting badly inflated graduation rates (supposedly as high as 97 percent) until it finally adopted a more realistic reporting method earlier this year.…

  4. High School Students With Reading Comprehension Difficulties: Results of a Randomized Control Trial of a Two-Year Reading Intervention.

    Science.gov (United States)

    Vaughn, Sharon; Roberts, Greg; Wexler, Jade; Vaughn, Michael G; Fall, Anna-Mária; Schnakenberg, Jennifer B

    2015-01-01

    A 2-year, randomized control trial with 9th to 10th grade students with significant reading problems was provided for 50 minutes a day in small groups. Comparison students were provided an elective class and treatment students the reading intervention. Students were identified as demonstrating reading difficulties through failure on their state accountability test and were randomly assigned to one of three treatment conditions and a business as usual (BAU) condition: reading without dropout prevention, reading with dropout prevention, dropout prevention without reading, or a BAU condition. Findings from the 2-year reading intervention (reading with and without dropout prevention combined and BAU) are reported in this article. Students in reading treatment compared to students in BAU demonstrated significant gains on reading comprehension (effect size = .43), and improved reading was associated with better grades in social studies. Findings from this study provide a rationale for further implementation and investigation of intensive intervention for high school students with reading difficulties. © Hammill Institute on Disabilities 2014.

  5. Electron–Ion Intensity Dropouts in Gradual Solar Energetic Particle Events during Solar Cycle 23

    International Nuclear Information System (INIS)

    Tan, Lun C.

    2017-01-01

    Since the field-line mixing model of Giacalone et al. suggests that ion dropouts cannot happen in the “gradual” solar energetic particle (SEP) event because of the large size of the particle source region in the event, the observational evidence of ion dropouts in the gradual SEP event should challenge the model. We have searched for the presence of ion dropouts in the gradual SEP event during solar cycle 23. From 10 SEP events the synchronized occurrence of ion and electron dropouts is identified in 12 periods. Our main observational facts, including the mean width of electron–ion dropout periods being consistent with the solar wind correlation scale, during the dropout period the dominance of the slab turbulence component and the enhanced turbulence power parallel to the mean magnetic field, and the ion gyroradius dependence of the edge steepness in dropout periods, are all in support of the solar wind turbulence origin of dropout events. Also, our observation indicates that a wide longitude distribution of SEP events could be due to the increase of slab turbulence fraction with the increased longitude distance from the flare-associated active region.

  6. Electron-Ion Intensity Dropouts in Gradual Solar Energetic Particle Events during Solar Cycle 23

    Science.gov (United States)

    Tan, Lun C.

    2017-09-01

    Since the field-line mixing model of Giacalone et al. suggests that ion dropouts cannot happen in the “gradual” solar energetic particle (SEP) event because of the large size of the particle source region in the event, the observational evidence of ion dropouts in the gradual SEP event should challenge the model. We have searched for the presence of ion dropouts in the gradual SEP event during solar cycle 23. From 10 SEP events the synchronized occurrence of ion and electron dropouts is identified in 12 periods. Our main observational facts, including the mean width of electron-ion dropout periods being consistent with the solar wind correlation scale, during the dropout period the dominance of the slab turbulence component and the enhanced turbulence power parallel to the mean magnetic field, and the ion gyroradius dependence of the edge steepness in dropout periods, are all in support of the solar wind turbulence origin of dropout events. Also, our observation indicates that a wide longitude distribution of SEP events could be due to the increase of slab turbulence fraction with the increased longitude distance from the flare-associated active region.

  7. Electron–Ion Intensity Dropouts in Gradual Solar Energetic Particle Events during Solar Cycle 23

    Energy Technology Data Exchange (ETDEWEB)

    Tan, Lun C., E-mail: ltan@umd.edu [Department of Astronomy, University of Maryland, College Park, MD 20742 (United States)

    2017-09-01

    Since the field-line mixing model of Giacalone et al. suggests that ion dropouts cannot happen in the “gradual” solar energetic particle (SEP) event because of the large size of the particle source region in the event, the observational evidence of ion dropouts in the gradual SEP event should challenge the model. We have searched for the presence of ion dropouts in the gradual SEP event during solar cycle 23. From 10 SEP events the synchronized occurrence of ion and electron dropouts is identified in 12 periods. Our main observational facts, including the mean width of electron–ion dropout periods being consistent with the solar wind correlation scale, during the dropout period the dominance of the slab turbulence component and the enhanced turbulence power parallel to the mean magnetic field, and the ion gyroradius dependence of the edge steepness in dropout periods, are all in support of the solar wind turbulence origin of dropout events. Also, our observation indicates that a wide longitude distribution of SEP events could be due to the increase of slab turbulence fraction with the increased longitude distance from the flare-associated active region.

  8. Treatment dropout and missed appointments among adults with attention-deficit/hyperactivity disorder: associations with patient- and disorder-related factors.

    Science.gov (United States)

    Soendergaard, Helle M; Thomsen, Per H; Pedersen, Pernille; Pedersen, Erik; Poulsen, Agnethe E; Nielsen, Jette M; Winther, Lars; Henriksen, Anne; Rungoe, Berit; Soegaard, Hans J

    2016-02-01

    Knowledge of factors associated with treatment dropout and missed appointments in adults with attention-deficit/hyperactivity disorder (ADHD) is very limited. On the basis of proposed hypotheses that past behavior patterns are more predictive of current behaviors of treatment dropout and missed appointments than are sociodemographic and clinical characteristics, we examined the associations of sociodemographic variables, clinical variables, risk-taking behavior, educational and occupational instability, and behaviors during mandatory schooling with the primary outcome measures of treatment dropout and missed appointments. In a naturalistic cohort study of 151 adult outpatients with ADHD initiating assessment in a Danish ADHD unit from September 1, 2010, to September 1, 2011, the Adult ADHD Self-Report Scale v1.1 symptom checklist (ASRS) and a thorough clinical interview were used to assess ADHD according to DSM-IV-TR criteria. Stepwise logistic regression analysis was used to estimate reported associations. A total of 27% of patients dropped out of treatment and a total of 42% had ≥ 3 missed appointments during treatment. Mood and anxiety disorders significantly lowered the odds of treatment dropout (odds ratio [OR] = 0.18; 95% confidence interval [CI], 0.05-0.65), whereas having started but not completed 2 or more educational programs apart from mandatory schooling significantly increased the odds of dropout (OR = 3.01; 95% CI, 1.32-6.89). Variables significantly associated with most missed appointments were low educational level (OR = 2.19; 95% CI, 1.12-4.31), 3 or more employments of less than 3 months' duration (OR = 2.86; 95% CI, 1.30-6.28), and having skipped class often/very often during mandatory schooling (OR = 2.65; 95% CI, 1.29-5.43). Additionally, the predominantly inattentive ADHD (ADHD-I) subtype lowered the odds of missed appointments (OR = 0.17; 95% CI, 0.05-0.62). Our results suggest that past behavior in terms of highest dropout rates in the

  9. Charting a Path to Graduation. The Effect of Project GRAD on Elementary School Student Outcomes in Four Urban School Districts

    Science.gov (United States)

    Snipes, Jason C.; Holton, Glee Ivory; Doolittle, Fred

    2006-01-01

    In the past decade, school districts around the country have sought to improve struggling urban high schools, where high dropout rates, poor student achievement, and low rates of graduation and college-going remain all too prevalent. In a field crowded with reform initiatives, Project Graduation Really Achieves Dreams (GRAD) stands out as…

  10. Dropouts and Compliance in Exercise Interventions Targeting Bone Mineral Density in Adults: A Meta-Analysis of Randomized Controlled Trials

    Directory of Open Access Journals (Sweden)

    George A. Kelley

    2013-01-01

    Full Text Available Background. Dropouts and compliance to exercise interventions targeting bone mineral density (BMD in adults are not well established. The purpose of this study was to address that gap. Methods. Meta-analysis of randomized controlled exercise intervention trials in adults ≥18 years of age. The primary outcomes were dropouts in the exercise and control groups as well as compliance to the exercise interventions. A random-effects model was used to pool results. Moderator analyses were conducted using mixed-effects ANOVA-like models and metaregression. Statistical significance was set at . Results. Thirty-six studies representing 3,297 participants (1,855 exercise, 1,442 control were included. Dropout rates in the exercise and control groups averaged 20.9% (95% CI 16.7%–25.9% and 15.9% (11.8%–21.1% while compliance to exercise was 76.3% (71.7%–80.3%. For both exercise and control groups, greater dropout rates were associated with studies conducted in the USA versus other countries, females versus males, premenopausal versus postmenopausal women, younger versus older participants, longer studies (controls only, and high- versus moderate-intensity training (exercisers only. Greater compliance to exercise was associated with being female, home- or facility-based exercise versus both, and shorter studies. Conclusion. These findings provide important information for researchers and practitioners with respect to exercise programs targeting BMD in adults.

  11. Improving Completion Rates in Adult Education through Social Responsibility

    Science.gov (United States)

    Wahlgren, Bjarne; Mariager-Anderson, Kristina

    2017-01-01

    Dropout is a serious problem within education. This article reports on an intervention project, titled "New Roles for the Teacher--Increased Completion Rates Through Social Responsibility," which sought to reduce nonattendance and drop-out rates in the Danish adult educational system by improving teachers' competences. This goal was…

  12. Longitudinal Examination of Aggression and Study Skills from Middle to High School: Implications for Dropout Prevention

    Science.gov (United States)

    Orpinas, Pamela; Raczynski, Katherine; Hsieh, Hsien-Lin; Nahapetyan, Lusine; Horne, Arthur M.

    2018-01-01

    Background: High school completion provides health and economic benefits. The purpose of this study is to describe dropout rates based on longitudinal trajectories of aggression and study skills using teacher ratings. Methods: The sample consisted of 620 randomly selected sixth graders. Every year from Grade 6 to 12, a teacher completed a…

  13. Celebrating 25 Years. National Dropout Prevention Center/Network Newsletter. Volume 22, Number 3

    Science.gov (United States)

    Duckenfield, Marty, Ed.

    2011-01-01

    The "National Dropout Prevention Newsletter" is published quarterly by the National Dropout Prevention Center/Network. This issue contains the following articles: (1) Leading the Way in Dropout Prevention; (2) The 15 Effective Strategies in Action; (3) Technology Changes 1986-2011 (Marty Duckenfield); (4) 25 Years of Research and Support…

  14. The Population Impact of Childhood Health Conditions on Dropout from Upper-Secondary Education.

    Science.gov (United States)

    Mikkonen, Janne; Moustgaard, Heta; Remes, Hanna; Martikainen, Pekka

    2018-05-01

    To quantify how large a part of educational dropout is due to adverse childhood health conditions and to estimate the risk of dropout across various physical and mental health conditions. A registry-based cohort study was conducted on a 20% random sample of Finns born in 1988-1995 (n = 101 284) followed for school dropout at ages 17 and 21. Four broad groups of health conditions (any, somatic, mental, and injury) and 25 specific health conditions were assessed from inpatient and outpatient care records at ages 10-16 years. We estimated the immediate and more persistent risks of dropout due to health conditions and calculated population-attributable fractions to quantify the population impact of childhood health on educational dropout, while accounting for a wide array of sociodemographic confounders and comorbidity. Children with any health condition requiring inpatient or outpatient care at ages 10-16 years were more likely to be dropouts at ages 17 years (risk ratio 1.71, 95% CI 1.61-1.81) and 21 years (1.46, 1.37-1.54) following adjustment for individual and family sociodemographic factors. A total of 30% of school dropout was attributable to health conditions at age 17 years and 21% at age 21 years. Mental disorders alone had an attributable fraction of 11% at age 21 years, compared with 5% for both somatic conditions and injuries. Adjusting for the presence of mental disorders reduced the effects of somatic conditions. More than one fifth of educational dropout is attributable to childhood health conditions. Early-onset mental disorders emerge as key targets in reducing dropout. Copyright © 2018 The Authors. Published by Elsevier Inc. All rights reserved.

  15. How Many Central City High Schools Have A Severe Dropout Problem, Where Are They Located, and Who Attends Them? Initial Estimates Using the Common Core of Data

    OpenAIRE

    Balfanz, Robert; Legters, Nettie

    2001-01-01

    The analysis presented in this paper strongly suggests that about half of the high schools in the nation’s 35 largest cities have severe dropout rates. It further shows that high schools with weak promoting power and by implication high dropout rates are found in almost all of the largest cities but they are particularly concentrated in Midwestern and Northern industrial cities and Texas.

  16. Are Dropout and Degree Completion in Doctoral Study Significantly Dependent on Type of Financial Support and Field of Research?

    Science.gov (United States)

    van der Haert, Margaux; Arias Ortiz, Elena; Emplit, Philippe; Halloin, Véronique; Dehon, Catherine

    2014-01-01

    In this article, the determinants of "time to dropout" from doctoral studies and "time to PhD completion" are studied using a discrete-time competing risks survival analysis for a sample of 3092 doctoral candidates from the Université libre de Bruxelles. Not surprisingly, results show that students supported with research…

  17. Dropout from exercise programs for seniors: A prospective cohort study

    NARCIS (Netherlands)

    Stiggelbout, M.; Hopman-Rock, M.; Tak, E.; Lechner, L.; Mechelen, W. van

    2005-01-01

    This study examines dropout incidence, moment of dropout, and switching behavior in organized exercise programs for seniors in the Netherlands, as determined in a prospective cohort study (with baseline measurements at the start of the exercise program and follow-up after 6 months; N = 1,725,

  18. Work environment and school dropout

    DEFF Research Database (Denmark)

    Hansen, Claus D.; Andersen, Johan Hviid; Lund, Thomas

    Aim The aim of this presentation is to examine the possible impact of work environment (and especially psychosocial work environment) on school dropout. The questions raised are: to what extent do psychosocial work environment and especially the social relations between young apprentices...... and their colleagues and managers play a role in dropping out of upper secondary education? Methods A cohort of 3058 adolescents born in 1989 and a cohort of approximately 2000 young adults born in 1983 are used to examine the associations between work environment and subsequent dropout in upper secondary educational...... indicated that ‘being treated badly by superior’ was part of the reason for doing so. Further analyses show that reporting repetitive and monotonous work tasks increases the risk of dropping out (OR: 1.74) and that reporting bad working climate at ones work place increases the risk of considering...

  19. Predictors of Dropout From Inpatient Substance Use Treatment: A Prospective Cohort Study.

    Science.gov (United States)

    Andersson, Helle Wessel; Steinsbekk, Aslak; Walderhaug, Espen; Otterholt, Eli; Nordfjærn, Trond

    2018-01-01

    Dropout from inpatient treatment for substance use disorder (SUD) is an ongoing challenge. The aim of this study was to identify demographic, substance use, and psychological factors that predict dropout from postdetoxification inpatient SUD treatment. A total of 454 patients from 5 inpatient SUD centers in Central Norway were consecutively included in this naturalistic, prospective cohort study. A total of 132 patients (28%) did not complete the planned treatment stay (dropped out). Cox regression analysis showed that higher levels of intrinsic motivation for changing personal substance use reduced the dropout risk (adjusted hazard ratio [adjHR]: 0.62, 95% confidence interval [CI]: 0.48-0.79). Higher levels of mental distress were associated with an increased risk for dropout (adjHR: 1.48, 95% CI: 1.11-1.97). The role of mental health and motivation in reducing dropout risk from inpatient SUD treatment should be targeted in future prospective intervention studies.

  20. Switching Schools: Reconsidering the Relationship Between School Mobility and High School Dropout

    Science.gov (United States)

    Gasper, Joseph; DeLuca, Stefanie; Estacion, Angela

    2014-01-01

    Youth who switch schools are more likely to demonstrate a wide array of negative behavioral and educational outcomes, including dropping out of high school. However, whether switching schools actually puts youth at risk for dropout is uncertain, since youth who switch schools are similar to dropouts in their levels of prior school achievement and engagement, which suggests that switching schools may be part of the same long-term developmental process of disengagement that leads to dropping out. Using data from the National Longitudinal Survey of Youth 1997, this study uses propensity score matching to pair youth who switched high schools with similar youth who stayed in the same school. We find that while over half the association between switching schools and dropout is explained by observed characteristics prior to 9th grade, switching schools is still associated with dropout. Moreover, the relationship between switching schools and dropout varies depending on a youth's propensity for switching schools. PMID:25554706

  1. Predictors of Dropout From Inpatient Substance Use Treatment: A Prospective Cohort Study

    Science.gov (United States)

    Andersson, Helle Wessel; Steinsbekk, Aslak; Walderhaug, Espen; Otterholt, Eli; Nordfjærn, Trond

    2018-01-01

    Introduction: Dropout from inpatient treatment for substance use disorder (SUD) is an ongoing challenge. The aim of this study was to identify demographic, substance use, and psychological factors that predict dropout from postdetoxification inpatient SUD treatment. Materials and methods: A total of 454 patients from 5 inpatient SUD centers in Central Norway were consecutively included in this naturalistic, prospective cohort study. Results: A total of 132 patients (28%) did not complete the planned treatment stay (dropped out). Cox regression analysis showed that higher levels of intrinsic motivation for changing personal substance use reduced the dropout risk (adjusted hazard ratio [adjHR]: 0.62, 95% confidence interval [CI]: 0.48-0.79). Higher levels of mental distress were associated with an increased risk for dropout (adjHR: 1.48, 95% CI: 1.11-1.97). Conclusions: The role of mental health and motivation in reducing dropout risk from inpatient SUD treatment should be targeted in future prospective intervention studies. PMID:29531472

  2. Predictors of Dropout From Inpatient Substance Use Treatment: A Prospective Cohort Study

    Directory of Open Access Journals (Sweden)

    Helle Wessel Andersson

    2018-02-01

    Full Text Available Introduction: Dropout from inpatient treatment for substance use disorder (SUD is an ongoing challenge. The aim of this study was to identify demographic, substance use, and psychological factors that predict dropout from postdetoxification inpatient SUD treatment. Materials and methods: A total of 454 patients from 5 inpatient SUD centers in Central Norway were consecutively included in this naturalistic, prospective cohort study. Results: A total of 132 patients (28% did not complete the planned treatment stay (dropped out. Cox regression analysis showed that higher levels of intrinsic motivation for changing personal substance use reduced the dropout risk (adjusted hazard ratio [adjHR]: 0.62, 95% confidence interval [CI]: 0.48-0.79. Higher levels of mental distress were associated with an increased risk for dropout (adjHR: 1.48, 95% CI: 1.11-1.97. Conclusions: The role of mental health and motivation in reducing dropout risk from inpatient SUD treatment should be targeted in future prospective intervention studies.

  3. Young adults' reasons for dropout from residential substance use disorder treatment.

    Science.gov (United States)

    Nordheim, Kristoffer; Walderhaug, Espen; Alstadius, Ståle; Kern-Godal, Ann; Arnevik, Espen; Duckert, Fanny

    2018-01-01

    Dropout from substance use disorder treatment is usually investigated and understood from a perspective of quantitative patient-related factors. Patients' own perspectives (user perspective) are rarely reported. This study, therefore, aimed to explore patients' own understanding of their dropout from residential substance use disorder treatment. The participants were 15 males and females, aged 19-29 years, who had dropped out of residential substance use disorder treatment at the Department of Addiction Treatment, Oslo University Hospital, Norway. Qualitative methodology with semistructured interviews was used to explore how the participants described their dropout and their reasons for doing so. Thematic analysis was used as the framework for analyzing the data derived from the interviews. Dropout had different meanings for different participants. It was understood as a break from treatment, as an end to treatment, or as a means of reduced treatment intensity . Against that background, four main themes for dropout were found: drug craving , negative emotions , personal contact, and activity . Patient and treatment factors seem to interact when participants explore reasons for their dropout. A complex pattern of variables is involved. As remedies, participants suggested that substance use disorder treatment should provide more focus on drug craving and training to understand and tolerate emotional discomfort. They also wanted closer contact with the staff during treatment, more activities, and rigorous posttreatment follow-up. These findings from the user perspective have important implications for substance use disorder treatment, clinical and social work practice, management, and research.

  4. The Impact of Graduate First Project on Students with Disabilities: Perceptions of Key Personnel

    Science.gov (United States)

    Foley, Tamera Garrett

    2012-01-01

    The Graduate First initiative was implemented to address the dropout crisis among students with disabilities in the state of Georgia, who continue to demonstrate a rate of attrition twice that of their non-disabled peers (Georgia Department of Education [GA DOE], 2010). This mixed method case study explored the perceptions and experiences of a…

  5. Allelic drop-out probabilities estimated by logistic regression--Further considerations and practical implementation

    DEFF Research Database (Denmark)

    Tvedebrink, Torben; Eriksen, Poul Svante; Asplund, Maria

    2012-01-01

    We discuss the model for estimating drop-out probabilities presented by Tvedebrink et al. [7] and the concerns, that have been raised. The criticism of the model has demonstrated that the model is not perfect. However, the model is very useful for advanced forensic genetic work, where allelic drop-out...... is occurring. With this discussion, we hope to improve the drop-out model, so that it can be used for practical forensic genetics and stimulate further discussions. We discuss how to estimate drop-out probabilities when using a varying number of PCR cycles and other experimental conditions....

  6. Mexican Origin Students in the Borderlands: The Construction of Social Identity in the School Context

    Science.gov (United States)

    Villarreal Sosa, Leticia

    2011-01-01

    There has been continued concern over the continued high dropout rate among Mexican origin youth. The purpose of this study is to understand how everyday experiences in school shape the content and meaning of Mexican origin students' social identities and how those social identities influence their academic trajectories over the transition to…

  7. Comorbidities and Psychosocial Characteristics as Determinants of Dropout in Outpatient Cardiac Rehabilitation.

    Science.gov (United States)

    Pardaens, Sofie; De Smedt, Delphine; De Bacquer, Dirk; Willems, Anne-Marie; Verstreken, Sofie; De Sutter, Johan

    Despite the clear benefits of cardiac rehabilitation (CR), a considerable number of patients drop out early. Therefore, we wanted to evaluate dropout in CR with a special focus on comorbidities and psychosocial background. Patients who attended CR after acute coronary syndrome, cardiac surgery, or heart failure (N = 489) were prospectively included. Dropout was defined as attending 50% of the training sessions or less (n = 96 [20%]). Demographic and clinical characteristics, exercise parameters, and psychosocial factors were analyzed according to dropout, and those with a trend toward a significant difference (P dropout, and a comparable trend was seen for the presence of chronic obstructive pulmonary disease (2.55 [0.99-6.54]). Attending the training program only twice per week also implicated a higher risk of an early withdrawal (3.76 [2.23-6.35]). In contrast, patients on β-blockers were less likely to withdraw prematurely (0.47 [0.22-0.98]). Singles were more likely to drop out (2.89 [1.56-5.35]), as well as those patients who were dependent on others to get to CR (2.01 [1.16-3.47]). Finally, the reporting of severe problems on the anxiety/depression subscale of the EuroQOL-5D questionnaire involved a higher odds for dropout (7.17 [1.46-35.29]). Neither demographic characteristics nor clinical status or exercise capacity could independently identify patients who were at risk of dropout. The presence of comorbidities and a vulnerable psychosocial background rather seem to play a key role in dropout.

  8. Taking the Easy Way Out: How the GED Testing Program Induces Students to Drop Out. NBER Working Paper No. 14044

    Science.gov (United States)

    Heckman, James J.; LaFontaine, Paul A.; Rodriguez, Pedro L.

    2008-01-01

    We exploit an exogenous increase in General Educational Development (GED) testing requirements to determine whether raising the difficulty of the test causes students to finish high school rather than drop out and GED certify. We find that a six point decrease in GED pass rates induces a 1.3 point decline in overall dropout rates. The effect size…

  9. Medical School Attrition-Beyond the Statistics A Ten Year Retrospective Study

    Directory of Open Access Journals (Sweden)

    Maher Bridget M

    2013-01-01

    Full Text Available Abstract Background Medical school attrition is important - securing a place in medical school is difficult and a high attrition rate can affect the academic reputation of a medical school and staff morale. More important, however, are the personal consequences of dropout for the student. The aims of our study were to examine factors associated with attrition over a ten-year period (2001–2011 and to study the personal effects of dropout on individual students. Methods The study included quantitative analysis of completed cohorts and qualitative analysis of ten-year data. Data were collected from individual student files, examination and admission records, exit interviews and staff interviews. Statistical analysis was carried out on five successive completed cohorts. Qualitative data from student files was transcribed and independently analysed by three authors. Data was coded and categorized and key themes were identified. Results Overall attrition rate was 5.7% (45/779 in 6 completed cohorts when students who transferred to other medical courses were excluded. Students from Kuwait and United Arab Emirates had the highest dropout rate (RR = 5.70, 95% Confidence Intervals 2.65 to 12.27;p  Absenteeism was documented in 30% of students, academic difficulty in 55.7%, social isolation in 20%, and psychological morbidity in 40% (higher than other studies. Qualitative analysis revealed recurrent themes of isolation, failure, and despair. Student Welfare services were only accessed by one-third of dropout students. Conclusions While dropout is often multifactorial, certain red flag signals may alert us to risk of dropout including non-EU origin, academic struggling, absenteeism, social isolation, depression and leave of absence. Psychological morbidity amongst dropout students is high and Student Welfare services should be actively promoted. Absenteeism should prompt early intervention. Behind every dropout statistic lies a personal story. All

  10. An Imputation Model for Dropouts in Unemployment Data

    Directory of Open Access Journals (Sweden)

    Nilsson Petra

    2016-09-01

    Full Text Available Incomplete unemployment data is a fundamental problem when evaluating labour market policies in several countries. Many unemployment spells end for unknown reasons; in the Swedish Public Employment Service’s register as many as 20 percent. This leads to an ambiguity regarding destination states (employment, unemployment, retired, etc.. According to complete combined administrative data, the employment rate among dropouts was close to 50 for the years 1992 to 2006, but from 2007 the employment rate has dropped to 40 or less. This article explores an imputation approach. We investigate imputation models estimated both on survey data from 2005/2006 and on complete combined administrative data from 2005/2006 and 2011/2012. The models are evaluated in terms of their ability to make correct predictions. The models have relatively high predictive power.

  11. Deep-Layer Microvasculature Dropout by Optical Coherence Tomography Angiography and Microstructure of Parapapillary Atrophy.

    Science.gov (United States)

    Suh, Min Hee; Zangwill, Linda M; Manalastas, Patricia Isabel C; Belghith, Akram; Yarmohammadi, Adeleh; Akagi, Tadamichi; Diniz-Filho, Alberto; Saunders, Luke; Weinreb, Robert N

    2018-04-01

    To investigate the association between the microstructure of β-zone parapapillary atrophy (βPPA) and parapapillary deep-layer microvasculature dropout assessed by optical coherence tomography angiography (OCT-A). Thirty-seven eyes with βPPA devoid of the Bruch's membrane (BM) (γPPA) ranging between completely absent and discontinuous BM were matched by severity of the visual field (VF) damage with 37 eyes with fully intact BM (βPPA+BM) based on the spectral-domain (SD) OCT imaging. Parapapillary deep-layer microvasculature dropout was defined as a dropout of the microvasculature within choroid or scleral flange in the βPPA on the OCT-A. The widths of βPPA, γPPA, and βPPA+BM were measured on six radial SD-OCT images. Prevalence of the dropout was compared between eyes with and without γPPA. Logistic regression was performed for evaluating association of the dropout with the width of βPPA, γPPA, and βPPA+BM, and the γPPA presence. Eyes with γPPA had significantly higher prevalence of the dropout than did those without γPPA (75.7% versus 40.8%; P = 0.004). In logistic regression, presence and longer width of the γPPA, worse VF mean deviation, and presence of focal lamina cribrosa defects were significantly associated with the dropout (P 0.10). Parapapillary deep-layer microvasculature dropout was associated with the presence and larger width of γPPA, but not with the βPPA+BM width. Presence and width of the exposed scleral flange, rather than the retinal pigmented epithelium atrophy, may be associated with deep-layer microvasculature dropout.

  12. PROXIMAL AND DISTAL FACTORS ASSOCIATED WITH DROPOUT VERSUS MAINTAINED PARTICIPATION IN ORGANIZED SPORT

    Directory of Open Access Journals (Sweden)

    Julie C.S. Boiché

    2009-03-01

    Full Text Available The purpose of this study was to investigate a large number of determinants of sport dropout among French adolescents, in order to reveal proximal and distal factors of dropout. 261 current and 106 dropout athletes (M = 14.6 participated to the study. The data were collected by a questionnaire assessing demographic information, athletes' perceptions on their experience, their parents, teammates and coach. t-tests revealed that current and former athletes were distinct on numerous variables. A discriminant function analysis showed three proximal predictors of sport dropout (perceived value of the activity, satisfaction, parents' investment. Subsequent regression analyses showed that perceived value was positively predicted by perceived competence, the value of the activity for teammates, coach's investment, and negatively by conflicts of interest and goal conflict with teammates; satisfaction was positively predicted by the coach's mastery climate, but negatively predicted by conflicts of interest and goal conflict with teammates and with the coach; parents investment was negatively predicted by the goal conflicts with them. This study permitted to discriminate between proximal and more distal psychological antecedents of the dropout behaviour. It brings information relative to the possible targets of interventions aiming at preventing dropout from organized sport

  13. DROPOUT OF DIRECTIONAL ELECTRON INTENSITIES IN LARGE SOLAR ENERGETIC PARTICLE EVENTS

    Energy Technology Data Exchange (ETDEWEB)

    Tan, Lun C. [Department of Astronomy, University of Maryland, College Park, MD 20742 (United States); Reames, Donald V., E-mail: ltan@umd.edu [Institute for Physical Science and Technology, University of Maryland, College Park, MD 20742 (United States)

    2016-01-10

    In the “gradual” solar energetic particle (SEP) event during solar cycle 23 we have observed the dispersionless modulation (“dropout”) in directional intensities of nonrelativistic electrons. The average duration of dropout periods is ∼0.8 hr, which is consistent with the correlation scale of solar wind turbulence. During the dropout period electrons could display scatter-free transport in an intermittent way. Also, we have observed a decrease in the anisotropic index of incident electrons with increasing electron energy (E{sub e}), while the index of scattered/reflected electrons is nearly independent of E{sub e}. We hence perform an observational examination of the correlation between the anisotropic index of low-energy scattered/reflected electrons and the signature of the locally measured solar wind turbulence in the dissipation range, which is responsible for resonant scattering of nonrelativistic electrons. Since during the dropout period the slab turbulence fraction is dominant (0.8 ± 0.1), we pay close attention to the effect of slab fraction on the correlation examined. Our observation is consistent with the simulation result that in the dominance of the slab turbulence component there should exist a dispatched structure of magnetic flux tubes, along which electrons could be transported in a scatter-free manner. Since a similar phenomenon is exhibited in the “impulsive” SEP event, electron dropout should be a transport effect. Therefore, being different from most ion dropout events, which are due to a compact flare source, the dropout of directional electron intensities should be caused by the change of turbulence status in the solar wind.

  14. DROPOUT OF DIRECTIONAL ELECTRON INTENSITIES IN LARGE SOLAR ENERGETIC PARTICLE EVENTS

    International Nuclear Information System (INIS)

    Tan, Lun C.; Reames, Donald V.

    2016-01-01

    In the “gradual” solar energetic particle (SEP) event during solar cycle 23 we have observed the dispersionless modulation (“dropout”) in directional intensities of nonrelativistic electrons. The average duration of dropout periods is ∼0.8 hr, which is consistent with the correlation scale of solar wind turbulence. During the dropout period electrons could display scatter-free transport in an intermittent way. Also, we have observed a decrease in the anisotropic index of incident electrons with increasing electron energy (E e ), while the index of scattered/reflected electrons is nearly independent of E e . We hence perform an observational examination of the correlation between the anisotropic index of low-energy scattered/reflected electrons and the signature of the locally measured solar wind turbulence in the dissipation range, which is responsible for resonant scattering of nonrelativistic electrons. Since during the dropout period the slab turbulence fraction is dominant (0.8 ± 0.1), we pay close attention to the effect of slab fraction on the correlation examined. Our observation is consistent with the simulation result that in the dominance of the slab turbulence component there should exist a dispatched structure of magnetic flux tubes, along which electrons could be transported in a scatter-free manner. Since a similar phenomenon is exhibited in the “impulsive” SEP event, electron dropout should be a transport effect. Therefore, being different from most ion dropout events, which are due to a compact flare source, the dropout of directional electron intensities should be caused by the change of turbulence status in the solar wind

  15. A Systematic Review of Consent Procedures, Participation Rates, and Main Findings of Health-Related Research in Alternative High Schools from 2010 to 2015

    Science.gov (United States)

    Johnson, Karen E.; Morris, Marian; Rew, Lynn; Simonton, Amanda J.

    2016-01-01

    There is a well-established link between educational attainment and health. Alternative high schools (AHSs) serve students who are at risk for school dropout. Health-related research conducted in AHSs has been sparse. Achieving high participation rates is critical to producing generalizable results and can be challenging in research with…

  16. Why Wait? Early Determinants of School Dropout in Preventive Pediatric Primary Care.

    Science.gov (United States)

    Theunissen, Marie-José; Bosma, Hans; Verdonk, Petra; Feron, Frans

    2015-01-01

    To answer the question of what bio-psychosocial determinants in infancy, early and middle childhood, and adolescence predict school drop-out in young adulthood, we approached the complex process towards school dropout as a multidimensional, life-course phenomenon. The aim is to find signs of heightened risks of school dropout as early as possible which will eventually help public health workers in reducing these risks. In a case-control design, we used data from both the Preventive Pediatric Primary Care (PPPC) files (that contain information from birth onwards) and additional questionnaires filled out by 529 youngsters, aged 18-23 years, and living in the South-east of the Netherlands. We first conducted univariate logistic regression analyses with school-dropout as the dependent variable. Backward and forward stepwise analyses with the significant variables were done with variables pertaining to the 0 to 4 year period. Remaining significant variables were forced into the next model and subsequently variables pertaining to respectively the 4 to 8, 8 to 12 and 12 to 16 year period were introduced in a stepwise analysis. All analyses were cross-validated in an exploratory and confirmatory random half of the sample. One parent families and families with a non-Western background less often attended the health examinations of the PPPC and such less attendance was related to school dropout. The birth of a sibling (OR 0.63, 95% CI 0.43-0.93) in infancy and self-efficacy (OR 0.53, 95% CI 0.38-0.74) in adolescence decreased the odds of school dropout; externalizing behavior (OR 2.81, 95% CI 1.53-5.14) in middle childhood and (sickness) absence (OR 5.62, 95% CI 2.18-14.52) in adolescence increased the risks. To prevent school dropout, PPPC professionals should not wait until imminent dropout, but should identify and tackle risk factors as early as possible and actively approach youngsters who withdraw from public health care.

  17. Why Wait? Early Determinants of School Dropout in Preventive Pediatric Primary Care.

    Directory of Open Access Journals (Sweden)

    Marie-José Theunissen

    Full Text Available To answer the question of what bio-psychosocial determinants in infancy, early and middle childhood, and adolescence predict school drop-out in young adulthood, we approached the complex process towards school dropout as a multidimensional, life-course phenomenon. The aim is to find signs of heightened risks of school dropout as early as possible which will eventually help public health workers in reducing these risks.In a case-control design, we used data from both the Preventive Pediatric Primary Care (PPPC files (that contain information from birth onwards and additional questionnaires filled out by 529 youngsters, aged 18-23 years, and living in the South-east of the Netherlands. We first conducted univariate logistic regression analyses with school-dropout as the dependent variable. Backward and forward stepwise analyses with the significant variables were done with variables pertaining to the 0 to 4 year period. Remaining significant variables were forced into the next model and subsequently variables pertaining to respectively the 4 to 8, 8 to 12 and 12 to 16 year period were introduced in a stepwise analysis. All analyses were cross-validated in an exploratory and confirmatory random half of the sample.One parent families and families with a non-Western background less often attended the health examinations of the PPPC and such less attendance was related to school dropout. The birth of a sibling (OR 0.63, 95% CI 0.43-0.93 in infancy and self-efficacy (OR 0.53, 95% CI 0.38-0.74 in adolescence decreased the odds of school dropout; externalizing behavior (OR 2.81, 95% CI 1.53-5.14 in middle childhood and (sickness absence (OR 5.62, 95% CI 2.18-14.52 in adolescence increased the risks.To prevent school dropout, PPPC professionals should not wait until imminent dropout, but should identify and tackle risk factors as early as possible and actively approach youngsters who withdraw from public health care.

  18. Why Wait? Early Determinants of School Dropout in Preventive Pediatric Primary Care

    Science.gov (United States)

    Theunissen, Marie-José; Bosma, Hans; Verdonk, Petra; Feron, Frans

    2015-01-01

    Background To answer the question of what bio-psychosocial determinants in infancy, early and middle childhood, and adolescence predict school drop-out in young adulthood, we approached the complex process towards school dropout as a multidimensional, life-course phenomenon. The aim is to find signs of heightened risks of school dropout as early as possible which will eventually help public health workers in reducing these risks. Methods In a case-control design, we used data from both the Preventive Pediatric Primary Care (PPPC) files (that contain information from birth onwards) and additional questionnaires filled out by 529 youngsters, aged 18–23 years, and living in the South-east of the Netherlands. We first conducted univariate logistic regression analyses with school-dropout as the dependent variable. Backward and forward stepwise analyses with the significant variables were done with variables pertaining to the 0 to 4 year period. Remaining significant variables were forced into the next model and subsequently variables pertaining to respectively the 4 to 8, 8 to 12 and 12 to 16 year period were introduced in a stepwise analysis. All analyses were cross-validated in an exploratory and confirmatory random half of the sample. Results One parent families and families with a non-Western background less often attended the health examinations of the PPPC and such less attendance was related to school dropout. The birth of a sibling (OR 0.63, 95% CI 0.43–0.93) in infancy and self-efficacy (OR 0.53, 95% CI 0.38–0.74) in adolescence decreased the odds of school dropout; externalizing behavior (OR 2.81, 95% CI 1.53–5.14) in middle childhood and (sickness) absence (OR 5.62, 95% CI 2.18–14.52) in adolescence increased the risks. Conclusion To prevent school dropout, PPPC professionals should not wait until imminent dropout, but should identify and tackle risk factors as early as possible and actively approach youngsters who withdraw from public health care

  19. Frafald fra erhvervsuddannelserne:

    DEFF Research Database (Denmark)

    Jørgensen, Christian Helms; Nielsen, Klaus

    2013-01-01

    The high dropout rate of students in vocational education and training (VET) has been considered a serious problem in policy of education in the last decade in Denmark as well as in the other Nordic countries. In the Danish VET system only half of the students, who take up a vocational pro...... of dropout and argue that the concept covers a range of different strategies among students in vocational education. Empirically the article is based on a large interview study among vocational students in Denmark. In addition the article is based on international research that uses a process-related concept......-gramme, complete the programme. The dropout rate has stayed on a high level despite a large num-ber of initiatives to increase retention. This article argues, that the problem lies not only with the measures to reduce dropout, but also in the conceptualisation of the dropout phenomenon. We ex-amine the concept...

  20. Building a Grad Nation: Progress and Challenge in Ending the High School Dropout Epidemic

    Science.gov (United States)

    Balfanz, Robert; Bridgeland, John M.; Moore, Laura A.; Fox, Joanna Hornig

    2010-01-01

    The central message of this report is that some states and school districts are raising their high school graduation rates with scalable solutions in the public schools, showing the nation they can end the high school dropout crisis. America made progress not only in suburbs and towns, but also in urban districts and in states across the South.…

  1. Enhanced low-template DNA analysis conditions and investigation of allele dropout patterns.

    Science.gov (United States)

    Hedell, Ronny; Dufva, Charlotte; Ansell, Ricky; Mostad, Petter; Hedman, Johannes

    2015-01-01

    Forensic DNA analysis applying PCR enables profiling of minute biological samples. Enhanced analysis conditions can be applied to further push the limit of detection, coming with the risk of visualising artefacts and allele imbalances. We have evaluated the consecutive increase of PCR cycles from 30 to 35 to investigate the limitations of low-template (LT) DNA analysis, applying the short tandem repeat (STR) analysis kit PowerPlex ESX 16. Mock crime scene DNA extracts of four different quantities (from around 8-84 pg) were tested. All PCR products were analysed using 5, 10 and 20 capillary electrophoresis (CE) injection seconds. Bayesian models describing allele dropout patterns, allele peak heights and heterozygote balance were developed to assess the overall improvements in EPG quality with altered PCR/CE settings. The models were also used to evaluate the impact of amplicon length, STR marker and fluorescent label on the risk for allele dropout. The allele dropout probability decreased for each PCR cycle increment from 30 to 33 PCR cycles. Irrespective of DNA amount, the dropout probability was not affected by further increasing the number of PCR cycles. For the 42 and 84 pg samples, mainly complete DNA profiles were generated applying 32 PCR cycles. For the 8 and 17 pg samples, the allele dropouts decreased from 100% using 30 cycles to about 75% and 20%, respectively. The results for 33, 34 and 35 PCR cycles indicated that heterozygote balance and stutter ratio were mainly affected by DNA amount, and not directly by PCR cycle number and CE injection settings. We found 32 and 33 PCR cycles with 10 CE injection seconds to be optimal, as 34 and 35 PCR cycles did not improve allele detection and also included CE saturation problems. We find allele dropout probability differences between several STR markers. Markers labelled with the fluorescent dyes CXR-ET (red in electropherogram) and TMR-ET (shown as black) generally have higher dropout risks compared with those

  2. "… It's Like the Immigrants Stick Together, the Stupid Ones, and the Ones Who Want to Learn Something": Dynamics of Peer Relations, Social Categories, and Dropout in Vocational Educational Training

    Science.gov (United States)

    Grønborg, Lisbeth

    2015-01-01

    This paper discusses how student identities are constituted through social categories and how this affects students' educational trajectories. Dropout is often described as a sudden event but this paper demonstrates how dropping out is a long-term process involving social interactions between the students. It is based on a field study in which the…

  3. Bayesian informative dropout model for longitudinal binary data with random effects using conditional and joint modeling approaches.

    Science.gov (United States)

    Chan, Jennifer S K

    2016-05-01

    Dropouts are common in longitudinal study. If the dropout probability depends on the missing observations at or after dropout, this type of dropout is called informative (or nonignorable) dropout (ID). Failure to accommodate such dropout mechanism into the model will bias the parameter estimates. We propose a conditional autoregressive model for longitudinal binary data with an ID model such that the probabilities of positive outcomes as well as the drop-out indicator in each occasion are logit linear in some covariates and outcomes. This model adopting a marginal model for outcomes and a conditional model for dropouts is called a selection model. To allow for the heterogeneity and clustering effects, the outcome model is extended to incorporate mixture and random effects. Lastly, the model is further extended to a novel model that models the outcome and dropout jointly such that their dependency is formulated through an odds ratio function. Parameters are estimated by a Bayesian approach implemented using the user-friendly Bayesian software WinBUGS. A methadone clinic dataset is analyzed to illustrate the proposed models. Result shows that the treatment time effect is still significant but weaker after allowing for an ID process in the data. Finally the effect of drop-out on parameter estimates is evaluated through simulation studies. © 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

  4. Staying on Track for High School Graduation: Promoting Student Engagement

    Science.gov (United States)

    Stout, Karen E.; Christenson, Sandra L.

    2009-01-01

    Students' engagement at school has emerged as a critical factor across hundreds of dropout prevention and recovery programs in the United States. By supporting and improving academic, behavioral, cognitive, and emotional engagement, we can mitigate the risk of dropping out. This article describes the history of school dropout, predictors of…

  5. Dimensions Of Basic School Dropouts In Rural Ghana: The Case Of ...

    African Journals Online (AJOL)

    The objective of this paper was to investigate the various dimensions of basic school dropouts in rural Ghana using the Asutifi district as a case study. The analysis of data (both quantitative and qualitative) gathered from several stakeholders of basic education in the district, revealed that the causes of school dropout were ...

  6. STATISTIC MODEL OF DYNAMIC DELAY AND DROPOUT ON CELLULAR DATA NETWORKED CONTROL SYSTEM

    Directory of Open Access Journals (Sweden)

    MUHAMMAD A. MURTI

    2017-07-01

    Full Text Available Delay and dropout are important parameters influence overall control performance in Networked Control System (NCS. The goal of this research is to find a model of delay and dropout of data communication link in the NCS. Experiments have been done in this research to a water level control of boiler tank as part of the NCS based on internet communication network using High Speed Packet Access (HSPA cellular technology. By this experiments have been obtained closed-loop system response as well as data delay and dropout of data packets. This research contributes on modeling of the NCS which is combination of controlled plant and data communication link. Another contribution is statistical model of delay and dropout on the NCS.

  7. Socioeconomic differences in school dropout among young adults: the role of social relations.

    Science.gov (United States)

    Winding, Trine Nøhr; Andersen, Johan Hviid

    2015-10-15

    School dropout in adolescence is an important social determinant of health inequality in a lifetime perspective. It is commonly accepted that parental background factors are associated with later dropout, but to what extent social relations mediate this association is not yet fully understood. To investigate the effect of social relations on the association between parental socioeconomic position and school dropout in the Danish youth cohort Vestliv. This prospective study used data from questionnaires in 2004 and 2007 and register data in 2004 and 2010. The study population consisted of 3,054 persons born in 1989. Information on dropout was dichotomised into those who had completed a secondary education/were still attending one and those who had dropped out/had never attended a secondary education. Logistic regression analyses were used to investigate associations between parental socioeconomic position and dropout at age 21, taking into account effects of social relations at age 15 and 18. A large proportion of young people were having problems with social relations at age 15 and 18. In general, social relations were strongly related to not completing a secondary education, especially among girls. For instance, 18-year-old girls finding family conflicts difficult to handle had a 2.6-fold increased risk of not completing a secondary education. Young people from low socioeconomic position families had approximately a 3-fold higher risk of not completing a secondary education compared to young people from high position families, and the estimates did not change greatly after adjustment for social relations with family or friends. Poor relations with teachers and classmates at age 18 explained a substantial part of the association between income and dropout among both girls and boys. The study confirmed a social gradient in completion of secondary education. Despite the fact that poor social relations at age 15 and 18 were related to dropout at age 21, social

  8. Early Onset of Distress Disorders and High-School Dropout: Prospective Evidence From a National Cohort of Australian Adolescents.

    Science.gov (United States)

    Butterworth, Peter; Leach, Liana S

    2018-06-01

    Prior research examining whether depression and anxiety lead to high-school dropout has been limited by a reliance on retrospective reports, the assessment of mental health at a single point in time (often remote from the time of high-school exit), and the omission of important measures of the social and familial environment. The present study addressed these limitations by analyzing 8 waves of longitudinal data from a cohort of Australian adolescents (n = 1,057) in the Household, Income and Labor Dynamics in Australia (HILDA) Survey (2001-2008). Respondents were followed from the age of 15 years through completion of or exit from high school. Discrete-time survival analysis was used to assess whether the early experience of a distress disorder (indicated by scores dropout, after controlling for household and parental socioeconomic characteristics and for tobacco smoking and alcohol consumption. Adolescents with a prior distress disorder had twice the odds of high-school dropout compared with those without (odds ratio = 1.99, 95% confidence interval: 1.24, 3.17). This association was somewhat attenuated but remained significant in models including tobacco and alcohol consumption (odds ratio = 1.74, 95% confidence interval: 1.74; 1.09, 2.78). These results suggest that improving the mental health of high-school students may promote better educational outcomes.

  9. Electron heat flux dropouts in the solar wind: Evidence for interplanetary magnetic field reconnection?

    International Nuclear Information System (INIS)

    McComas, D.J.; Gosling, J.T.; Phillips, J.L.; Bame, S.J.; Luhmann, J.G.; Smith, E.J.

    1989-01-01

    Electron heat flux dropout events have been observed in the solar wind using the ISEE 3 plasma electron data set. These events manifest themselves as dropouts of the solar wind halo electrons which are normally found streaming outward along the local magnetic field. These dropouts leave nearly isotropic distributions of solar wind halo electrons, and consequently, the heat flux in these events is reduced to near the observational noise level. We have examined ISEE 3 data from shortly after launch (August 16, 1978) through the end of 1978 and identified 25 such events ranging in duration from 20 min to over 11 hours. Comparison with the ISEE 3 magnetometer data indicates that these intervals nearly always occur in conjunction with large rotations of the interplanetary magnetic field. Statistical analyses of the plasma and magnetic field data for the 25 dropout intervals indicate that heat flux dropouts generally occur in association with high plasma densities low plasma velocities, low ion and electron temperatures, and low magnetic field magnitudes. A second set of 25 intervals chosen specifically to lie at large field rotations, but at times at which not heat flux dropouts were observed, do not show these characteristic plalsma variations. This suggests that the dropout intervals comprise a unique set of events. Since the hot halo electrons normally found streaming outward from the Sun along the interplanetary magnetic field (the solar wind electron heat flux) are a result of direct magnetic connection to the hot solar corona, heat flux dropout intervals may indicate that the spacecraft is sampling plasma regimes which are magnetically disconnected from the Sun and instead are connected to the outer heliosphere at both ends

  10. Building a Grad Nation: Progress and Challenge in Ending the High School Dropout Epidemic. Annual Update 2015

    Science.gov (United States)

    DePaoli, Jennifer L.; Fox, Joanna Hornig; Ingram, Erin S.; Maushard, Mary; Bridgeland, John M.; Balfanz, Robert

    2015-01-01

    In 2013, the national high school graduation rate hit a record high of 81.4 percent, and for the third year in a row, the nation remained on pace to meet the 90 percent goal by the Class of 2020. This sixth annual update on America's high school dropout challenge shows that these gains have been made possible by raising graduation rates for…

  11. Building a Grad Nation: Progress and Challenge in Ending the High School Dropout Epidemic. Annual Update 2014

    Science.gov (United States)

    Balfanz, Robert; Bridgeland, John M.; Fox, Joanna Hornig; DePaoli, Jennifer L.; Ingram, Erin S.; Maushard, Mary

    2014-01-01

    This fifth annual update on America's high school dropout crisis shows that, for the first time in history, the nation has crossed the 80 percent high school graduation rate threshold and remains on pace, for the second year in a row, to meet the goal of a 90 percent high school graduation rate by the Class of 2020. This report highlights key…

  12. Modified Convolutional Neural Network Based on Dropout and the Stochastic Gradient Descent Optimizer

    Directory of Open Access Journals (Sweden)

    Jing Yang

    2018-03-01

    Full Text Available This study proposes a modified convolutional neural network (CNN algorithm that is based on dropout and the stochastic gradient descent (SGD optimizer (MCNN-DS, after analyzing the problems of CNNs in extracting the convolution features, to improve the feature recognition rate and reduce the time-cost of CNNs. The MCNN-DS has a quadratic CNN structure and adopts the rectified linear unit as the activation function to avoid the gradient problem and accelerate convergence. To address the overfitting problem, the algorithm uses an SGD optimizer, which is implemented by inserting a dropout layer into the all-connected and output layers, to minimize cross entropy. This study used the datasets MNIST, HCL2000, and EnglishHand as the benchmark data, analyzed the performance of the SGD optimizer under different learning parameters, and found that the proposed algorithm exhibited good recognition performance when the learning rate was set to [0.05, 0.07]. The performances of WCNN, MLP-CNN, SVM-ELM, and MCNN-DS were compared. Statistical results showed the following: (1 For the benchmark MNIST, the MCNN-DS exhibited a high recognition rate of 99.97%, and the time-cost of the proposed algorithm was merely 21.95% of MLP-CNN, and 10.02% of SVM-ELM; (2 Compared with SVM-ELM, the average improvement in the recognition rate of MCNN-DS was 2.35% for the benchmark HCL2000, and the time-cost of MCNN-DS was only 15.41%; (3 For the EnglishHand test set, the lowest recognition rate of the algorithm was 84.93%, the highest recognition rate was 95.29%, and the average recognition rate was 89.77%.

  13. 20 CFR 664.310 - When is dropout status determined, particularly for youth attending alternative schools?

    Science.gov (United States)

    2010-04-01

    ... 20 Employees' Benefits 3 2010-04-01 2010-04-01 false When is dropout status determined... INVESTMENT ACT Out-of-School Youth § 664.310 When is dropout status determined, particularly for youth attending alternative schools? A school dropout is defined as an individual who is no longer attending any...

  14. ACE/SWICS OBSERVATIONS OF HEAVY ION DROPOUTS WITHIN THE SOLAR WIND

    Energy Technology Data Exchange (ETDEWEB)

    Weberg, Micah J. [PhD Candidate in Space and Planetary Physics, 2435 Space Research Building, 2455 Hayward Street, Ann Arbor, MI 48109-2143, USA. (United States); Zurbuchen, Thomas H. [Professor, Space Science and Aerospace Engineering, Associate Dean for Entrepreneurship, 2429 Space Research Building, 2455 Hayward Street, Ann Arbor, MI 48109-2143, USA. (United States); Lepri, Susan T., E-mail: mjweberg@umich.edu, E-mail: thomasz@umich.edu, E-mail: slepri@umich.edu [Associate Research Scientist, 2417 Space Research Building, 2455 Hayward Street, Ann Arbor, MI 48109-2143, USA. (United States)

    2012-11-20

    We present the first in situ observations of heavy ion dropouts within the slow solar wind, observed for select elements ranging from helium to iron. For iron, these dropouts manifest themselves as depletions of the Fe/H ratio by factors up to {approx}25. The events often exhibit mass-dependent fractionation and are contained in slow, unsteady wind found within a few days from known stream interfaces. We propose that such dropouts are evidence of gravitational settling within large coronal loops, which later undergo interchange reconnection and become source regions of slow, unsteady wind. Previously, spectroscopic studies by Raymond et al. in 1997 (and later Feldman et al. in 1999) have yielded strong evidence for gravitational settling within these loops. However, their expected in situ signature plasma with heavy elements fractionated by mass was not observed prior to this study. Using data from the SWICS instrument on board the Advanced Composition Explorer (ACE), we investigate the composition of the solar wind within these dropouts and explore long term trends over most of a solar cycle.

  15. ACE/SWICS OBSERVATIONS OF HEAVY ION DROPOUTS WITHIN THE SOLAR WIND

    International Nuclear Information System (INIS)

    Weberg, Micah J.; Zurbuchen, Thomas H.; Lepri, Susan T.

    2012-01-01

    We present the first in situ observations of heavy ion dropouts within the slow solar wind, observed for select elements ranging from helium to iron. For iron, these dropouts manifest themselves as depletions of the Fe/H ratio by factors up to ∼25. The events often exhibit mass-dependent fractionation and are contained in slow, unsteady wind found within a few days from known stream interfaces. We propose that such dropouts are evidence of gravitational settling within large coronal loops, which later undergo interchange reconnection and become source regions of slow, unsteady wind. Previously, spectroscopic studies by Raymond et al. in 1997 (and later Feldman et al. in 1999) have yielded strong evidence for gravitational settling within these loops. However, their expected in situ signature plasma with heavy elements fractionated by mass was not observed prior to this study. Using data from the SWICS instrument on board the Advanced Composition Explorer (ACE), we investigate the composition of the solar wind within these dropouts and explore long term trends over most of a solar cycle.

  16. Predictors of dropout from internet-based self-help cognitive behavioral therapy for insomnia.

    Science.gov (United States)

    Yeung, Wing-Fai; Chung, Ka-Fai; Ho, Fiona Yan-Yee; Ho, Lai-Ming

    2015-10-01

    Dropout from self-help cognitive-behavioral therapy for insomnia (CBT-I) potentially diminishes therapeutic effect and poses clinical concern. We analyzed the characteristics of subjects who did not complete a 6-week internet-based CBT-I program. Receiver operator characteristics (ROC) analysis was used to identify potential variables and cutoff for predicting dropout among 207 participants with self-report insomnia 3 or more nights per week for at least 3 months randomly assigned to self-help CBT-I with telephone support (n = 103) and self-help CBT-I (n = 104). Seventy-two participants (34.4%) did not complete all 6 sessions, while 42 of the 72 (56.9%) dropped out prior to the fourth session. Significant predictors of non-completion are total sleep time (TST) ≥ 6.82 h, Hospital Anxiety and Depression Scale depression score ≥ 9 and Insomnia Severity Index score dropout. Longer TST and less severe insomnia predict dropout in this study of self-help CBT-I, in contrast to shorter TST as a predictor in 2 studies of face-to-face CBT-I, while greater severity of depression predicts dropout in both this study and a study of face-to-face CBT-I. Strategies for minimizing dropout from internet-based CBT-I are discussed. Copyright © 2015 Elsevier Ltd. All rights reserved.

  17. Is Drop-Out from University Dependent on National Culture and Policy? The Case of Denmark

    Science.gov (United States)

    Troelsen, Rie; Laursen, Per F.

    2014-01-01

    National cultures are known to influence educational institutions and practices in many ways. It therefore seems reasonable to assume that drop-out from university is also influenced by differences in national cultures. In this article, we compare drop-out from Danish universities with drop-out from European universities. Based on Danish national…

  18. Patient Profile of Drop-Outs From a Pulmonary Rehabilitation Program.

    Science.gov (United States)

    Almadana Pacheco, Virginia; Pavón Masa, María; Gómez-Bastero Fernández, Ana Paulina; Muñiz Rodríguez, Ana Mirian; Tallón Moreno, Rodrigo; Montemayor Rubio, Teodoro

    2017-05-01

    While the benefits of pulmonary rehabilitation programs (PR) in COPD have been demonstrated, poor adherence, related with worse clinical outcomes, is common. The purpose of this study was to examine causes for drop-out during a 12-week multidisciplinary pulmonary rehabilitation program and to investigate the characteristics of patients with poor adherence, with special emphasis on functional and clinical characteristics. A prospective study was performed between February and November 2015in 83 COPD patients enrolled in an outpatient program of 36 strength +resistance training sessions. Ambulances were provided to facilitate access to the clinic. Patients were divided into: adherent (A) (attended at least 70% of the program) or non-adherent (NA) (at least one session). A total of 83 patients were evaluated and 26 excluded; 15.7% refused to participate. The drop-out rate was 38.5%. The main causes were low motivation and transport problems. Lower forced vital capacity (NA, 58.9% vs A, 67.8%; P=.03), worse results on submaximal exercise test (NA, 6.2minutes vs A, 9.2minutes; P=.02), in total distance walked (NA, 42.6 vs A, 56.5; P=.03) and VO 2 in ml/min/kg (NA, 11.4 vs A, 13.6; P=.03) and in ml/min (NA, 839 vs A, 1020; P=.04) were found in the non-adherent group. This group also showed higher use of oral steroids (NA, 23.8% vs A, 2.9%; P=.01). More than 1/3 of patients leave programs. The main causes are related to motivation and transport. The patients who dropout are those with worse functional tests, more exacerbations, steroids and smoking habit. Copyright © 2016 SEPAR. Publicado por Elsevier España, S.L.U. All rights reserved.

  19. [Eating Disorder Treatment in Iceland - Treatment adherence, psychiatric co-morbidities and factors influencing drop-out].

    Science.gov (United States)

    Gunnarsdottir, Gudrun Mist; Palsson, Sigurdur Pall; Thorsteinsdottir, Gudlaug

    2015-05-01

    Treatment adherence in patients with eating disorders (ED) in Iceland is unknown. The aim of the study was to investigate treatment drop-out and explore factors that influence premature termination of treatment in a specialized ED treatment unit, at the University Hospital of Iceland, during the period of September 1, 2008 - May 1, 2012. The study is retrospective and naturalistic. Hospital records of referred patients were examined. Those meeting the ICD 10 criteria of anorexia nervosa (AN) (F50.0, F50.1), bulimia nervosa (BN) (F50.2, F50.3) and eating disorder not otherwise specified (EDNOS) (F50.9) were included. The total sample was 260 and 182 patients met inclusion criteria. No-shows were 7%. Drop-out was defined as premature termination of treatment without formal discharge. The sample consisted of 176 women and 6 men, mean age 26.3 years. BN was diagnosed in 52.7% of patients, EDNOS in 36.8% AN in 10.4%. 74.7% had one or more co-morbid psychiatric diagnosis. Anxiety- and/or depression were diagnosed in 72.5%, Attention hyperactivity deficiency disorder in 15.4% and personality disorders in 8.2%. Lifetime prevalence of substance use disorders (SUDs) was 30.8%. Drop-out from treatment occurred in 54.4% of cases (with approximately 1/3 returning to treatment), 27.5% finished treatment and 18.1% were still in treatment at the end of the follow up period. Treatment adherence was significantly higher in patients who had a university degree, in those who had themselves taken the initiative to seek ED treatment and in those with higher anxiety scores at assessment. AN patients did better than other ED patients while patients with SUDs showed a tendency for higher drop-out (p=0.079). The drop-out rates were similar to what has been reported from other western countries. Follow-up time was longer and AN patient did better than expected. Higher education, initiative in seeking treatment and higher anxiety scores on questionnaires were protective.

  20. STUDENTS WITH VISUAL IMPAIRMENTS: BRAILLE READING RATE

    Directory of Open Access Journals (Sweden)

    Daniela Blagoj Dimitrova-Radojichikj

    2015-06-01

    Full Text Available A comparison reading performance was done between 8 students who are using Braille and 14 students who are using enlarged print to read. Reading performance was determined using reading rate (words per minute, wpm. Reading rate results showed no significant difference (p>0.05 between those using the Braille (16.62±11.61 wpm and those using the enlarged print (27.21±24.89 wpm. This study has shown that Braille reader students read at lower reading rate compared to print reader students with visual impairment.