Crawford, John R.; Garthwaite, Paul H.; Denham, Annie K.; Chelune, Gordon J.
2012-01-01
Regression equations have many useful roles in psychological assessment. Moreover, there is a large reservoir of published data that could be used to build regression equations; these equations could then be employed to test a wide variety of hypotheses concerning the functioning of individual cases. This resource is currently underused because…
A Latent Class Regression Analysis of Men's Conformity to Masculine Norms and Psychological Distress
Wong, Y. Joel; Owen, Jesse; Shea, Munyi
2012-01-01
How are specific dimensions of masculinity related to psychological distress in specific groups of men? To address this question, the authors used latent class regression to assess the optimal number of latent classes that explained differential relationships between conformity to masculine norms and psychological distress in a racially diverse…
Ernst, Anja F; Albers, Casper J
2017-01-01
Misconceptions about the assumptions behind the standard linear regression model are widespread and dangerous. These lead to using linear regression when inappropriate, and to employing alternative procedures with less statistical power when unnecessary. Our systematic literature review investigated employment and reporting of assumption checks in twelve clinical psychology journals. Findings indicate that normality of the variables themselves, rather than of the errors, was wrongfully held for a necessary assumption in 4% of papers that use regression. Furthermore, 92% of all papers using linear regression were unclear about their assumption checks, violating APA-recommendations. This paper appeals for a heightened awareness for and increased transparency in the reporting of statistical assumption checking.
Ernst, Anja F.
2017-01-01
Misconceptions about the assumptions behind the standard linear regression model are widespread and dangerous. These lead to using linear regression when inappropriate, and to employing alternative procedures with less statistical power when unnecessary. Our systematic literature review investigated employment and reporting of assumption checks in twelve clinical psychology journals. Findings indicate that normality of the variables themselves, rather than of the errors, was wrongfully held for a necessary assumption in 4% of papers that use regression. Furthermore, 92% of all papers using linear regression were unclear about their assumption checks, violating APA-recommendations. This paper appeals for a heightened awareness for and increased transparency in the reporting of statistical assumption checking. PMID:28533971
Directory of Open Access Journals (Sweden)
Anja F. Ernst
2017-05-01
Full Text Available Misconceptions about the assumptions behind the standard linear regression model are widespread and dangerous. These lead to using linear regression when inappropriate, and to employing alternative procedures with less statistical power when unnecessary. Our systematic literature review investigated employment and reporting of assumption checks in twelve clinical psychology journals. Findings indicate that normality of the variables themselves, rather than of the errors, was wrongfully held for a necessary assumption in 4% of papers that use regression. Furthermore, 92% of all papers using linear regression were unclear about their assumption checks, violating APA-recommendations. This paper appeals for a heightened awareness for and increased transparency in the reporting of statistical assumption checking.
The need to control for regression to the mean in social psychology studies
Directory of Open Access Journals (Sweden)
Rongjun eYu
2015-01-01
Full Text Available It is common in repeated measurements for extreme values at the first measurement to approach the mean at the subsequent measurement, a phenomenon called regression to the mean (RTM. If RTM is not fully controlled, it will lead to erroneous conclusions. The wide use of repeated measurements in social psychology creates a risk that an RTM effect will influence results. However, insufficient attention is paid to RTM in most social psychological research. Notable cases include studies on the phenomena of social conformity and unrealistic optimism. In Study 1, 13 university students rated and re-rated the facial attractiveness of a series of female faces as a test of the social conformity effect. In Study 2, 15 university students estimated and re-estimated their risk of experiencing a series of adverse life events as a test of the unrealistic optimism effect. Although these studies used methodologies similar to those used in earlier research, the social conformity and unrealistic optimism effects were no longer evident after controlling for RTM. Based on these findings we suggest several ways to control for the RTM effect in social psychology studies.
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Lei Zhou
2017-02-01
Full Text Available Although our society is in rapid development, the psychological problems among in-school university students are increasingly obvious. According to this problem, this thesis applied the Psychological Gap Scale made by Caixia Ma with EPQ and AMS, and made random questionnaire survey among 400 students in a comprehensive university. The survey found out that the average scores of all psychological gap dimensions exceeded the critical value 3, showing most students in that university have psychological gap. Their personality stability, introversion and extroversion are all above the national norm level while their stubbornness is lower than it. Besides, the students’ motivation in pursuing success is stronger than their motivation in avoiding failure. In the last part, this thesis reached the conclusion that personality leaves a great impact in the students’ psychology through regression analysis model and study of the quantitative relations among personality, achievement and psychological gap.
Ernst, Anja F.; Albers, Casper J.
2017-01-01
Misconceptions about the assumptions behind the standard linear regression model are widespread and dangerous. These lead to using linear regression when inappropriate, and to employing alternative procedures with less statistical power when unnecessary. Our systematic literature review investigated
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Cape John
2010-06-01
Full Text Available Abstract Background Psychological therapies provided in primary care are usually briefer than in secondary care. There has been no recent comprehensive review comparing their effectiveness for common mental health problems. We aimed to compare the effectiveness of different types of brief psychological therapy administered within primary care across and between anxiety, depressive and mixed disorders. Methods Meta-analysis and meta-regression of randomized controlled trials of brief psychological therapies of adult patients with anxiety, depression or mixed common mental health problems treated in primary care compared to primary care treatment as usual. Results Thirty-four studies, involving 3962 patients, were included. Most were of brief cognitive behaviour therapy (CBT; n = 13, counselling (n = 8 or problem solving therapy (PST; n = 12. There was differential effectiveness between studies of CBT, with studies of CBT for anxiety disorders having a pooled effect size [d -1.06, 95% confidence interval (CI -1.31 to -0.80] greater than that of studies of CBT for depression (d -0.33, 95% CI -0.60 to -0.06 or studies of CBT for mixed anxiety and depression (d -0.26, 95% CI -0.44 to -0.08. Counselling for depression and mixed anxiety and depression (d -0.32, 95% CI -0.52 to -0.11 and problem solving therapy (PST for depression and mixed anxiety and depression (d -0.21, 95% CI -0.37 to -0.05 were also effective. Controlling for diagnosis, meta-regression found no difference between CBT, counselling and PST. Conclusions Brief CBT, counselling and PST are all effective treatments in primary care, but effect sizes are low compared to longer length treatments. The exception is brief CBT for anxiety, which has comparable effect sizes.
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Orsolya Selymes, PhD Candidate
2011-06-01
Full Text Available The Theory of Social Control (TSC is grounded in satisfaction and happiness research. The study investigated the reasons behind relatively low levels of civil and personal satisfaction, subjective social well-being and experienced happiness in the post-communist Hungarian social context. The basic social process uncovered in the research is self-situating, which involves a continuous assessment of social control, which occurs on three psychological dimensions: activity, fairness and connectedness, operated via social flow. The culturally salient outcome of self-situating in Hungary is self-victimizing, meaning a subjective loss of control on all three dimensions. Some of the most important emotional-motivational consequences of self-victimizing are inhibition, regression and isolation, which contribute to various socio-cultural phenomenon such as distrust, bystander strategies, pessimism or anomie across a number of social situations. Based on the emerging theory, the concept of subjective social control is introduced and an expanded three-dimensional model of civil satisfaction, comfort and contribution, along with psychological and cultural implications, are discussed.Key words: social control, self-situating, self-victimizing, activity, fairness, connectedness, inhibition, fury, isolation
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Akbar Hassanzadeh
2017-01-01
Full Text Available Objective. The current study is aimed at investigating the association between stressful life events and psychological problems in a large sample of Iranian adults. Method. In a cross-sectional large-scale community-based study, 4763 Iranian adults, living in Isfahan, Iran, were investigated. Grouped outcomes latent factor regression on latent predictors was used for modeling the association of psychological problems (depression, anxiety, and psychological distress, measured by Hospital Anxiety and Depression Scale (HADS and General Health Questionnaire (GHQ-12, as the grouped outcomes, and stressful life events, measured by a self-administered stressful life events (SLEs questionnaire, as the latent predictors. Results. The results showed that the personal stressors domain has significant positive association with psychological distress (β=0.19, anxiety (β=0.25, depression (β=0.15, and their collective profile score (β=0.20, with greater associations in females (β=0.28 than in males (β=0.13 (all P<0.001. In addition, in the adjusted models, the regression coefficients for the association of social stressors domain and psychological problems profile score were 0.37, 0.35, and 0.46 in total sample, males, and females, respectively (P<0.001. Conclusion. Results of our study indicated that different stressors, particularly those socioeconomic related, have an effective impact on psychological problems. It is important to consider the social and cultural background of a population for managing the stressors as an effective approach for preventing and reducing the destructive burden of psychological problems.
Hassanzadeh, Akbar; Heidari, Zahra; Hassanzadeh Keshteli, Ammar; Afshar, Hamid
2017-01-01
Objective The current study is aimed at investigating the association between stressful life events and psychological problems in a large sample of Iranian adults. Method In a cross-sectional large-scale community-based study, 4763 Iranian adults, living in Isfahan, Iran, were investigated. Grouped outcomes latent factor regression on latent predictors was used for modeling the association of psychological problems (depression, anxiety, and psychological distress), measured by Hospital Anxiety and Depression Scale (HADS) and General Health Questionnaire (GHQ-12), as the grouped outcomes, and stressful life events, measured by a self-administered stressful life events (SLEs) questionnaire, as the latent predictors. Results The results showed that the personal stressors domain has significant positive association with psychological distress (β = 0.19), anxiety (β = 0.25), depression (β = 0.15), and their collective profile score (β = 0.20), with greater associations in females (β = 0.28) than in males (β = 0.13) (all P < 0.001). In addition, in the adjusted models, the regression coefficients for the association of social stressors domain and psychological problems profile score were 0.37, 0.35, and 0.46 in total sample, males, and females, respectively (P < 0.001). Conclusion Results of our study indicated that different stressors, particularly those socioeconomic related, have an effective impact on psychological problems. It is important to consider the social and cultural background of a population for managing the stressors as an effective approach for preventing and reducing the destructive burden of psychological problems. PMID:29312459
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Gardênia Abbad
2002-01-01
Full Text Available Este artigo discute algumas aplicações das técnicas de análise de regressão múltipla stepwise e hierárquica, as quais são muito utilizadas em pesquisas da área de Psicologia Organizacional. São discutidas algumas estratégias de identificação e de solução de problemas relativos à ocorrência de erros do Tipo I e II e aos fenômenos de supressão, complementaridade e redundância nas equações de regressão múltipla. São apresentados alguns exemplos de pesquisas nas quais esses padrões de associação entre variáveis estiveram presentes e descritas as estratégias utilizadas pelos pesquisadores para interpretá-los. São discutidas as aplicações dessas análises no estudo de interação entre variáveis e na realização de testes para avaliação da linearidade do relacionamento entre variáveis. Finalmente, são apresentadas sugestões para lidar com as limitações das análises de regressão múltipla (stepwise e hierárquica.This article discusses applications of stepwise and hierarchical multiple regression analyses to research in organizational psychology. Strategies for identifying type I and II errors, and solutions to potential problems that may arise from such errors are proposed. In addition, phenomena such as suppression, complementarity, and redundancy are reviewed. The article presents examples of research where these phenomena occurred, and the manner in which they were explained by researchers. Some applications of multiple regression analyses to studies involving between-variable interactions are presented, along with tests used to analyze the presence of linearity among variables. Finally, some suggestions are provided for dealing with limitations implicit in multiple regression analyses (stepwise and hierarchical.
Spady, Richard; Stouli, Sami
2012-01-01
We propose dual regression as an alternative to the quantile regression process for the global estimation of conditional distribution functions under minimal assumptions. Dual regression provides all the interpretational power of the quantile regression process while avoiding the need for repairing the intersecting conditional quantile surfaces that quantile regression often produces in practice. Our approach introduces a mathematical programming characterization of conditional distribution f...
Zhang, Hongyang; Welch, William J.; Zamar, Ruben H.
2017-01-01
Tomal et al. (2015) introduced the notion of "phalanxes" in the context of rare-class detection in two-class classification problems. A phalanx is a subset of features that work well for classification tasks. In this paper, we propose a different class of phalanxes for application in regression settings. We define a "Regression Phalanx" - a subset of features that work well together for prediction. We propose a novel algorithm which automatically chooses Regression Phalanxes from high-dimensi...
Frangos, Christos C; Frangos, Constantinos C; Sotiropoulos, Ioannis
2011-01-01
The aim of this paper is to investigate the relationships between Problematic Internet Use (PIU) among university students in Greece and factors such as gender, age, family condition, academic performance in the last semester of their studies, enrollment in unemployment programs, amount of Internet use per week (in general and per application), additional personal habits or dependencies (number of coffees, alcoholic drinks drunk per day, taking substances, cigarettes smoked per day), and negative psychological beliefs. Data were gathered from 2,358 university students from across Greece. The prevalence of PIU was 34.7% in our sample, and PIU was significantly associated with gender, parental family status, grade of studies during the previous semester, staying or not with parents, enrollment of the student in an unemployment program, and whether the student paid a subscription to the Internet (p pornographic sites, chat rooms, advertisement sites, Google, Yahoo!, their e-mail, ftp, games, and blogs more than non-problematic Internet users. PIU was also associated with other potential addictive personal habits of smoking, drinking alcohol or coffee, and taking drugs. Significant risk factors for PIU were being male, enrolment in unemployment programs, presence of negative beliefs, visiting pornographic sites, and playing online games. Thus PIU is prevalent among Greek university students and attention should be given to it by health officials.
Matson, Johnny L.; Kozlowski, Alison M.
2010-01-01
Autistic regression is one of the many mysteries in the developmental course of autism and pervasive developmental disorders not otherwise specified (PDD-NOS). Various definitions of this phenomenon have been used, further clouding the study of the topic. Despite this problem, some efforts at establishing prevalence have been made. The purpose of…
Olive, David J
2017-01-01
This text covers both multiple linear regression and some experimental design models. The text uses the response plot to visualize the model and to detect outliers, does not assume that the error distribution has a known parametric distribution, develops prediction intervals that work when the error distribution is unknown, suggests bootstrap hypothesis tests that may be useful for inference after variable selection, and develops prediction regions and large sample theory for the multivariate linear regression model that has m response variables. A relationship between multivariate prediction regions and confidence regions provides a simple way to bootstrap confidence regions. These confidence regions often provide a practical method for testing hypotheses. There is also a chapter on generalized linear models and generalized additive models. There are many R functions to produce response and residual plots, to simulate prediction intervals and hypothesis tests, to detect outliers, and to choose response trans...
Molder, te H.F.M.
2016-01-01
Discursive psychology examines how psychological issues are made relevant and put to use in everyday talk. Unlike traditional psychological perspectives, discursive psychology does not approach the question of what psychology comprises and explains from an analyst's perspective. Instead, the focus
Differentiating regressed melanoma from regressed lichenoid keratosis.
Chan, Aegean H; Shulman, Kenneth J; Lee, Bonnie A
2017-04-01
Distinguishing regressed lichen planus-like keratosis (LPLK) from regressed melanoma can be difficult on histopathologic examination, potentially resulting in mismanagement of patients. We aimed to identify histopathologic features by which regressed melanoma can be differentiated from regressed LPLK. Twenty actively inflamed LPLK, 12 LPLK with regression and 15 melanomas with regression were compared and evaluated by hematoxylin and eosin staining as well as Melan-A, microphthalmia transcription factor (MiTF) and cytokeratin (AE1/AE3) immunostaining. (1) A total of 40% of regressed melanomas showed complete or near complete loss of melanocytes within the epidermis with Melan-A and MiTF immunostaining, while 8% of regressed LPLK exhibited this finding. (2) Necrotic keratinocytes were seen in the epidermis in 33% regressed melanomas as opposed to all of the regressed LPLK. (3) A dense infiltrate of melanophages in the papillary dermis was seen in 40% of regressed melanomas, a feature not seen in regressed LPLK. In summary, our findings suggest that a complete or near complete loss of melanocytes within the epidermis strongly favors a regressed melanoma over a regressed LPLK. In addition, necrotic epidermal keratinocytes and the presence of a dense band-like distribution of dermal melanophages can be helpful in differentiating these lesions. © 2016 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.
Pedrini, D. T.; Pedrini, Bonnie C.
Regression, another mechanism studied by Sigmund Freud, has had much research, e.g., hypnotic regression, frustration regression, schizophrenic regression, and infra-human-animal regression (often directly related to fixation). Many investigators worked with hypnotic age regression, which has a long history, going back to Russian reflexologists.…
DEFF Research Database (Denmark)
Johansen, Søren
2008-01-01
The reduced rank regression model is a multivariate regression model with a coefficient matrix with reduced rank. The reduced rank regression algorithm is an estimation procedure, which estimates the reduced rank regression model. It is related to canonical correlations and involves calculating...
Regression analysis by example
Chatterjee, Samprit
2012-01-01
Praise for the Fourth Edition: ""This book is . . . an excellent source of examples for regression analysis. It has been and still is readily readable and understandable."" -Journal of the American Statistical Association Regression analysis is a conceptually simple method for investigating relationships among variables. Carrying out a successful application of regression analysis, however, requires a balance of theoretical results, empirical rules, and subjective judgment. Regression Analysis by Example, Fifth Edition has been expanded
DEFF Research Database (Denmark)
Fitzenberger, Bernd; Wilke, Ralf Andreas
2015-01-01
if the mean regression model does not. We provide a short informal introduction into the principle of quantile regression which includes an illustrative application from empirical labor market research. This is followed by briefly sketching the underlying statistical model for linear quantile regression based......Quantile regression is emerging as a popular statistical approach, which complements the estimation of conditional mean models. While the latter only focuses on one aspect of the conditional distribution of the dependent variable, the mean, quantile regression provides more detailed insights...... by modeling conditional quantiles. Quantile regression can therefore detect whether the partial effect of a regressor on the conditional quantiles is the same for all quantiles or differs across quantiles. Quantile regression can provide evidence for a statistical relationship between two variables even...
Understanding logistic regression analysis
Sperandei, Sandro
2014-01-01
Logistic regression is used to obtain odds ratio in the presence of more than one explanatory variable. The procedure is quite similar to multiple linear regression, with the exception that the response variable is binomial. The result is the impact of each variable on the odds ratio of the observed event of interest. The main advantage is to avoid confounding effects by analyzing the association of all variables together. In this article, we explain the logistic regression procedure using ex...
Introduction to regression graphics
Cook, R Dennis
2009-01-01
Covers the use of dynamic and interactive computer graphics in linear regression analysis, focusing on analytical graphics. Features new techniques like plot rotation. The authors have composed their own regression code, using Xlisp-Stat language called R-code, which is a nearly complete system for linear regression analysis and can be utilized as the main computer program in a linear regression course. The accompanying disks, for both Macintosh and Windows computers, contain the R-code and Xlisp-Stat. An Instructor's Manual presenting detailed solutions to all the problems in the book is ava
Alternative Methods of Regression
Birkes, David
2011-01-01
Of related interest. Nonlinear Regression Analysis and its Applications Douglas M. Bates and Donald G. Watts ".an extraordinary presentation of concepts and methods concerning the use and analysis of nonlinear regression models.highly recommend[ed].for anyone needing to use and/or understand issues concerning the analysis of nonlinear regression models." --Technometrics This book provides a balance between theory and practice supported by extensive displays of instructive geometrical constructs. Numerous in-depth case studies illustrate the use of nonlinear regression analysis--with all data s
Canter, David V.
2010-01-01
The domain of Investigative Psychology covers all aspects of psychology that are relevant to the conduct of criminal or civil investigations. Its focus is on the ways in which criminal activities may be examined and understood in order for the detection of crime to be effective and legal proceedings to be appropriate. As such Investigative Psychology is concerned with psychological input to the full range of issues that relate to the management, investigation and prosecution of crime
Peterson, Christopher
2009-01-01
Positive psychology is a deliberate correction to the focus of psychology on problems. Positive psychology does not deny the difficulties that people may experience but does suggest that sole attention to disorder leads to an incomplete view of the human condition. Positive psychologists concern themselves with four major topics: (1) positive…
Sperber, P.|info:eu-repo/dai/nl/377312894
2017-01-01
For more than a hundred years now, the dominant view amongst scholars has been that Kant's philosophy has nothing to do with psychology, or, at the very least, that psychology is inessential to Kant's philosophical project. In the early reception of Kant's work, however, psychology played a central
Batchelder, William H
2010-09-01
Mathematical psychology is a sub-field of psychology that started in the 1950s and has continued to grow as an important contributor to formal psychological theory, especially in the cognitive areas of psychology such as learning, memory, classification, choice response time, decision making, attention, and problem solving. In addition, there are several scientific sub-areas that were originated by mathematical psychologists such as the foundations of measurement, stochastic memory models, and psychologically motivated reformulations of expected utility theory. Mathematical psychology does not include all uses of mathematics and statistics in psychology, and indeed there is a long history of such uses especially in the areas of perception and psychometrics. What is most unique about mathematical psychology is its approach to theory construction. While accepting the behaviorist dictum that the data in psychology must be observable and replicable, mathematical models are specified in terms of unobservable formal constructs that can predict detailed aspects of data across multiple experimental and natural settings. By now almost all the substantive areas of cognitive and experimental psychology have formal mathematical models and theories, and many of these are due to researchers that identify with mathematical psychology. Copyright © 2010 John Wiley & Sons, Ltd. For further resources related to this article, please visit the WIREs website. Copyright © 2010 John Wiley & Sons, Ltd.
Oishi, Shigehiro
2014-01-01
Socioecological psychology investigates humans' cognitive, emotional, and behavioral adaption to physical, interpersonal, economic, and political environments. This article summarizes three types of socioecological psychology research: (a) association studies that link an aspect of social ecology (e.g., population density) with psychology (e.g., prosocial behavior), (b) process studies that clarify why there is an association between social ecology and psychology (e.g., residential mobility → anxiety → familiarity seeking), and (c) niche construction studies that illuminate how psychological states give rise to the creation and maintenance of a social ecology (e.g., familiarity seeking → dominance of national chain stores). Socioecological psychology attempts to bring the objectivist perspective to psychological science, investigating how objective social and physical environments, not just perception and construal of the environments, affect one's thinking, feeling, and behaviors, as well as how people's thinking, feeling, and behaviors give rise to social and built environments.
Directory of Open Access Journals (Sweden)
Matthias Schmid
Full Text Available Regression analysis with a bounded outcome is a common problem in applied statistics. Typical examples include regression models for percentage outcomes and the analysis of ratings that are measured on a bounded scale. In this paper, we consider beta regression, which is a generalization of logit models to situations where the response is continuous on the interval (0,1. Consequently, beta regression is a convenient tool for analyzing percentage responses. The classical approach to fit a beta regression model is to use maximum likelihood estimation with subsequent AIC-based variable selection. As an alternative to this established - yet unstable - approach, we propose a new estimation technique called boosted beta regression. With boosted beta regression estimation and variable selection can be carried out simultaneously in a highly efficient way. Additionally, both the mean and the variance of a percentage response can be modeled using flexible nonlinear covariate effects. As a consequence, the new method accounts for common problems such as overdispersion and non-binomial variance structures.
Understanding logistic regression analysis.
Sperandei, Sandro
2014-01-01
Logistic regression is used to obtain odds ratio in the presence of more than one explanatory variable. The procedure is quite similar to multiple linear regression, with the exception that the response variable is binomial. The result is the impact of each variable on the odds ratio of the observed event of interest. The main advantage is to avoid confounding effects by analyzing the association of all variables together. In this article, we explain the logistic regression procedure using examples to make it as simple as possible. After definition of the technique, the basic interpretation of the results is highlighted and then some special issues are discussed.
Weisberg, Sanford
2013-01-01
Praise for the Third Edition ""...this is an excellent book which could easily be used as a course text...""-International Statistical Institute The Fourth Edition of Applied Linear Regression provides a thorough update of the basic theory and methodology of linear regression modeling. Demonstrating the practical applications of linear regression analysis techniques, the Fourth Edition uses interesting, real-world exercises and examples. Stressing central concepts such as model building, understanding parameters, assessing fit and reliability, and drawing conclusions, the new edition illus
Hosmer, David W; Sturdivant, Rodney X
2013-01-01
A new edition of the definitive guide to logistic regression modeling for health science and other applications This thoroughly expanded Third Edition provides an easily accessible introduction to the logistic regression (LR) model and highlights the power of this model by examining the relationship between a dichotomous outcome and a set of covariables. Applied Logistic Regression, Third Edition emphasizes applications in the health sciences and handpicks topics that best suit the use of modern statistical software. The book provides readers with state-of-
Understanding poisson regression.
Hayat, Matthew J; Higgins, Melinda
2014-04-01
Nurse investigators often collect study data in the form of counts. Traditional methods of data analysis have historically approached analysis of count data either as if the count data were continuous and normally distributed or with dichotomization of the counts into the categories of occurred or did not occur. These outdated methods for analyzing count data have been replaced with more appropriate statistical methods that make use of the Poisson probability distribution, which is useful for analyzing count data. The purpose of this article is to provide an overview of the Poisson distribution and its use in Poisson regression. Assumption violations for the standard Poisson regression model are addressed with alternative approaches, including addition of an overdispersion parameter or negative binomial regression. An illustrative example is presented with an application from the ENSPIRE study, and regression modeling of comorbidity data is included for illustrative purposes. Copyright 2014, SLACK Incorporated.
Resch, Mária; Bella, Tamás
2013-04-21
In Hungary one can mostly find references to the psychological processes of politics in the writings of publicists, public opinion pollsters, philosophers, social psychologists, and political analysts. It would be still important if not only legal scientists focusing on political institutions or sociologist-politologists concentrating on social structures could analyse the psychological aspects of political processes; but one could also do so through the application of the methods of political psychology. The authors review the history of political psychology, its position vis-à-vis other fields of science and the essential interfaces through which this field of science, which is still to be discovered in Hungary, connects to other social sciences. As far as its methodology comprising psycho-biographical analyses, questionnaire-based queries, cognitive mapping of interviews and statements are concerned, it is identical with the psychiatric tools of medical sciences. In the next part of this paper, the focus is shifted to the essence and contents of political psychology. Group dynamics properties, voters' attitudes, leaders' personalities and the behavioural patterns demonstrated by them in different political situations, authoritativeness, games, and charisma are all essential components of political psychology, which mostly analyses psychological-psychiatric processes and also involves medical sciences by relying on cognitive and behavioural sciences. This paper describes political psychology, which is basically part of social sciences, still, being an interdisciplinary science, has several ties to medical sciences through psychological and psychiatric aspects.
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Mok Tik
2014-06-01
Full Text Available This study formulates regression of vector data that will enable statistical analysis of various geodetic phenomena such as, polar motion, ocean currents, typhoon/hurricane tracking, crustal deformations, and precursory earthquake signals. The observed vector variable of an event (dependent vector variable is expressed as a function of a number of hypothesized phenomena realized also as vector variables (independent vector variables and/or scalar variables that are likely to impact the dependent vector variable. The proposed representation has the unique property of solving the coefficients of independent vector variables (explanatory variables also as vectors, hence it supersedes multivariate multiple regression models, in which the unknown coefficients are scalar quantities. For the solution, complex numbers are used to rep- resent vector information, and the method of least squares is deployed to estimate the vector model parameters after transforming the complex vector regression model into a real vector regression model through isomorphism. Various operational statistics for testing the predictive significance of the estimated vector parameter coefficients are also derived. A simple numerical example demonstrates the use of the proposed vector regression analysis in modeling typhoon paths.
Multicollinearity and Regression Analysis
Daoud, Jamal I.
2017-12-01
In regression analysis it is obvious to have a correlation between the response and predictor(s), but having correlation among predictors is something undesired. The number of predictors included in the regression model depends on many factors among which, historical data, experience, etc. At the end selection of most important predictors is something objective due to the researcher. Multicollinearity is a phenomena when two or more predictors are correlated, if this happens, the standard error of the coefficients will increase [8]. Increased standard errors means that the coefficients for some or all independent variables may be found to be significantly different from In other words, by overinflating the standard errors, multicollinearity makes some variables statistically insignificant when they should be significant. In this paper we focus on the multicollinearity, reasons and consequences on the reliability of the regression model.
DEFF Research Database (Denmark)
Bache, Stefan Holst
A new and alternative quantile regression estimator is developed and it is shown that the estimator is root n-consistent and asymptotically normal. The estimator is based on a minimax ‘deviance function’ and has asymptotically equivalent properties to the usual quantile regression estimator. It is......, however, a different and therefore new estimator. It allows for both linear- and nonlinear model specifications. A simple algorithm for computing the estimates is proposed. It seems to work quite well in practice but whether it has theoretical justification is still an open question....
DEFF Research Database (Denmark)
Ozenne, Brice; Sørensen, Anne Lyngholm; Scheike, Thomas
2017-01-01
In the presence of competing risks a prediction of the time-dynamic absolute risk of an event can be based on cause-specific Cox regression models for the event and the competing risks (Benichou and Gail, 1990). We present computationally fast and memory optimized C++ functions with an R interface...... for predicting the covariate specific absolute risks, their confidence intervals, and their confidence bands based on right censored time to event data. We provide explicit formulas for our implementation of the estimator of the (stratified) baseline hazard function in the presence of tied event times. As a by...... functionals. The software presented here is implemented in the riskRegression package....
Psychological behaviorism and behaviorizing psychology
Staats, Arthur W.
1994-01-01
Paradigmatic or psychological behaviorism (PB), in a four-decade history of development, has been shaped by its goal, the establishment of a behaviorism that can also serve as the approach in psychology (Watson's original goal). In the process, PB has become a new generation of behaviorism with abundant heuristic avenues for development in theory, philosophy, methodology, and research. Psychology has resources, purview and problem areas, and nascent developments of many kinds, gathered in chaotic diversity, needing unification (and other things) that cognitivism cannot provide. Behaviorism can, within PB's multilevel framework for connecting and advancing both psychology and behaviorism. PMID:22478175
Molder, te H.
2015-01-01
Discursive psychology was established in the United Kingdom by the end of the 1980s, mainly in response to the dominant cognitivist approach in social psychology. While it borrowed notions from poststructuralism and sociology of science, it is most akin to conversation analysis. Discursive
Boven, Martijn; Emmanuel, Steven M.; McDonald, William; Stewart, Jon
2015-01-01
For Kierkegaard the ‘psychological experiment’ is a literary strategy. It enables him to dramatize an existential conflict in an experimental mode. Kierkegaard’s aim is to study the source of movement that animates the existing individual (this is the psychological part). However, he is not
Multiple linear regression analysis
Edwards, T. R.
1980-01-01
Program rapidly selects best-suited set of coefficients. User supplies only vectors of independent and dependent data and specifies confidence level required. Program uses stepwise statistical procedure for relating minimal set of variables to set of observations; final regression contains only most statistically significant coefficients. Program is written in FORTRAN IV for batch execution and has been implemented on NOVA 1200.
Bayesian logistic regression analysis
Van Erp, H.R.N.; Van Gelder, P.H.A.J.M.
2012-01-01
In this paper we present a Bayesian logistic regression analysis. It is found that if one wishes to derive the posterior distribution of the probability of some event, then, together with the traditional Bayes Theorem and the integrating out of nuissance parameters, the Jacobian transformation is an
Seber, George A F
2012-01-01
Concise, mathematically clear, and comprehensive treatment of the subject.* Expanded coverage of diagnostics and methods of model fitting.* Requires no specialized knowledge beyond a good grasp of matrix algebra and some acquaintance with straight-line regression and simple analysis of variance models.* More than 200 problems throughout the book plus outline solutions for the exercises.* This revision has been extensively class-tested.
Ritz, Christian; Parmigiani, Giovanni
2009-01-01
R is a rapidly evolving lingua franca of graphical display and statistical analysis of experiments from the applied sciences. This book provides a coherent treatment of nonlinear regression with R by means of examples from a diversity of applied sciences such as biology, chemistry, engineering, medicine and toxicology.
Bayesian ARTMAP for regression.
Sasu, L M; Andonie, R
2013-10-01
Bayesian ARTMAP (BA) is a recently introduced neural architecture which uses a combination of Fuzzy ARTMAP competitive learning and Bayesian learning. Training is generally performed online, in a single-epoch. During training, BA creates input data clusters as Gaussian categories, and also infers the conditional probabilities between input patterns and categories, and between categories and classes. During prediction, BA uses Bayesian posterior probability estimation. So far, BA was used only for classification. The goal of this paper is to analyze the efficiency of BA for regression problems. Our contributions are: (i) we generalize the BA algorithm using the clustering functionality of both ART modules, and name it BA for Regression (BAR); (ii) we prove that BAR is a universal approximator with the best approximation property. In other words, BAR approximates arbitrarily well any continuous function (universal approximation) and, for every given continuous function, there is one in the set of BAR approximators situated at minimum distance (best approximation); (iii) we experimentally compare the online trained BAR with several neural models, on the following standard regression benchmarks: CPU Computer Hardware, Boston Housing, Wisconsin Breast Cancer, and Communities and Crime. Our results show that BAR is an appropriate tool for regression tasks, both for theoretical and practical reasons. Copyright © 2013 Elsevier Ltd. All rights reserved.
Bounded Gaussian process regression
DEFF Research Database (Denmark)
Jensen, Bjørn Sand; Nielsen, Jens Brehm; Larsen, Jan
2013-01-01
We extend the Gaussian process (GP) framework for bounded regression by introducing two bounded likelihood functions that model the noise on the dependent variable explicitly. This is fundamentally different from the implicit noise assumption in the previously suggested warped GP framework. We...... with the proposed explicit noise-model extension....
and Multinomial Logistic Regression
African Journals Online (AJOL)
This work presented the results of an experimental comparison of two models: Multinomial Logistic Regression (MLR) and Artificial Neural Network (ANN) for classifying students based on their academic performance. The predictive accuracy for each model was measured by their average Classification Correct Rate (CCR).
Mechanisms of neuroblastoma regression
Brodeur, Garrett M.; Bagatell, Rochelle
2014-01-01
Recent genomic and biological studies of neuroblastoma have shed light on the dramatic heterogeneity in the clinical behaviour of this disease, which spans from spontaneous regression or differentiation in some patients, to relentless disease progression in others, despite intensive multimodality therapy. This evidence also suggests several possible mechanisms to explain the phenomena of spontaneous regression in neuroblastomas, including neurotrophin deprivation, humoral or cellular immunity, loss of telomerase activity and alterations in epigenetic regulation. A better understanding of the mechanisms of spontaneous regression might help to identify optimal therapeutic approaches for patients with these tumours. Currently, the most druggable mechanism is the delayed activation of developmentally programmed cell death regulated by the tropomyosin receptor kinase A pathway. Indeed, targeted therapy aimed at inhibiting neurotrophin receptors might be used in lieu of conventional chemotherapy or radiation in infants with biologically favourable tumours that require treatment. Alternative approaches consist of breaking immune tolerance to tumour antigens or activating neurotrophin receptor pathways to induce neuronal differentiation. These approaches are likely to be most effective against biologically favourable tumours, but they might also provide insights into treatment of biologically unfavourable tumours. We describe the different mechanisms of spontaneous neuroblastoma regression and the consequent therapeutic approaches. PMID:25331179
Ridge Regression Signal Processing
Kuhl, Mark R.
1990-01-01
The introduction of the Global Positioning System (GPS) into the National Airspace System (NAS) necessitates the development of Receiver Autonomous Integrity Monitoring (RAIM) techniques. In order to guarantee a certain level of integrity, a thorough understanding of modern estimation techniques applied to navigational problems is required. The extended Kalman filter (EKF) is derived and analyzed under poor geometry conditions. It was found that the performance of the EKF is difficult to predict, since the EKF is designed for a Gaussian environment. A novel approach is implemented which incorporates ridge regression to explain the behavior of an EKF in the presence of dynamics under poor geometry conditions. The basic principles of ridge regression theory are presented, followed by the derivation of a linearized recursive ridge estimator. Computer simulations are performed to confirm the underlying theory and to provide a comparative analysis of the EKF and the recursive ridge estimator.
Subset selection in regression
Miller, Alan
2002-01-01
Originally published in 1990, the first edition of Subset Selection in Regression filled a significant gap in the literature, and its critical and popular success has continued for more than a decade. Thoroughly revised to reflect progress in theory, methods, and computing power, the second edition promises to continue that tradition. The author has thoroughly updated each chapter, incorporated new material on recent developments, and included more examples and references. New in the Second Edition:A separate chapter on Bayesian methodsComplete revision of the chapter on estimationA major example from the field of near infrared spectroscopyMore emphasis on cross-validationGreater focus on bootstrappingStochastic algorithms for finding good subsets from large numbers of predictors when an exhaustive search is not feasible Software available on the Internet for implementing many of the algorithms presentedMore examplesSubset Selection in Regression, Second Edition remains dedicated to the techniques for fitting...
Better Autologistic Regression
Directory of Open Access Journals (Sweden)
Mark A. Wolters
2017-11-01
Full Text Available Autologistic regression is an important probability model for dichotomous random variables observed along with covariate information. It has been used in various fields for analyzing binary data possessing spatial or network structure. The model can be viewed as an extension of the autologistic model (also known as the Ising model, quadratic exponential binary distribution, or Boltzmann machine to include covariates. It can also be viewed as an extension of logistic regression to handle responses that are not independent. Not all authors use exactly the same form of the autologistic regression model. Variations of the model differ in two respects. First, the variable coding—the two numbers used to represent the two possible states of the variables—might differ. Common coding choices are (zero, one and (minus one, plus one. Second, the model might appear in either of two algebraic forms: a standard form, or a recently proposed centered form. Little attention has been paid to the effect of these differences, and the literature shows ambiguity about their importance. It is shown here that changes to either coding or centering in fact produce distinct, non-nested probability models. Theoretical results, numerical studies, and analysis of an ecological data set all show that the differences among the models can be large and practically significant. Understanding the nature of the differences and making appropriate modeling choices can lead to significantly improved autologistic regression analyses. The results strongly suggest that the standard model with plus/minus coding, which we call the symmetric autologistic model, is the most natural choice among the autologistic variants.
Regression in organizational leadership.
Kernberg, O F
1979-02-01
The choice of good leaders is a major task for all organizations. Inforamtion regarding the prospective administrator's personality should complement questions regarding his previous experience, his general conceptual skills, his technical knowledge, and the specific skills in the area for which he is being selected. The growing psychoanalytic knowledge about the crucial importance of internal, in contrast to external, object relations, and about the mutual relationships of regression in individuals and in groups, constitutes an important practical tool for the selection of leaders.
Classification and regression trees
Breiman, Leo; Olshen, Richard A; Stone, Charles J
1984-01-01
The methodology used to construct tree structured rules is the focus of this monograph. Unlike many other statistical procedures, which moved from pencil and paper to calculators, this text's use of trees was unthinkable before computers. Both the practical and theoretical sides have been developed in the authors' study of tree methods. Classification and Regression Trees reflects these two sides, covering the use of trees as a data analysis method, and in a more mathematical framework, proving some of their fundamental properties.
Hilbe, Joseph M
2009-01-01
This book really does cover everything you ever wanted to know about logistic regression … with updates available on the author's website. Hilbe, a former national athletics champion, philosopher, and expert in astronomy, is a master at explaining statistical concepts and methods. Readers familiar with his other expository work will know what to expect-great clarity.The book provides considerable detail about all facets of logistic regression. No step of an argument is omitted so that the book will meet the needs of the reader who likes to see everything spelt out, while a person familiar with some of the topics has the option to skip "obvious" sections. The material has been thoroughly road-tested through classroom and web-based teaching. … The focus is on helping the reader to learn and understand logistic regression. The audience is not just students meeting the topic for the first time, but also experienced users. I believe the book really does meet the author's goal … .-Annette J. Dobson, Biometric...
... cognitive-behavioral therapy ), relaxation therapy , hypnotherapy , and biofeedback therapy . Psychological treatments can also be combined. Review of well- ... Antidepressant Medications Newer IBS Medications Probiotics and Antibiotics ... Cognitive Behavioral Therapy Relaxation Techniques for IBS Take Part in Online ...
Puech, Paloma; Pitcho, Benjamin
2013-04-01
Two types of harassment are distinguished: sexual and psychological. In the private sector, according to French labour laws and the penal code, psychological harassment is actionable. It is up to the employer to prove the absence of harassment. The sanctions incurred can be up to 5 years imprisonment and a 150,000 euro fine and various measures of compensation for damages can be envisaged.
Halpern, Diane F
2017-07-01
Contemporary psychology is experiencing tremendous growth in neuroscience, and there is every indication that it will continue to gain in popularity notwithstanding the scarcity of academic positions for newly minted Ph.Ds. Despite the general perception that brain correlates "explain" or "cause" the mind and behavior, these correlates have not yet proven useful in understanding psychological processes, although they offer the possibility of early identification of some disorders. Other recent developments in psychology include increased emphasis on applications and more global representation among researchers and participants. In thinking about the way we want psychology to evolve, psychologists need to pay more than lip service to the idea that complex questions in psychology require multiple levels of analysis with contributions from biological (brain, hormones, and genetics), individual differences and social and cultural perspectives. Early career psychologists who can attain a breadth of knowledge will be well-positioned for a team approach to psychological inquiry. Finally, I offer the belief that an emphasis on enhancing critical thinking skills at all levels of education offers the best hope for the future.
Steganalysis using logistic regression
Lubenko, Ivans; Ker, Andrew D.
2011-02-01
We advocate Logistic Regression (LR) as an alternative to the Support Vector Machine (SVM) classifiers commonly used in steganalysis. LR offers more information than traditional SVM methods - it estimates class probabilities as well as providing a simple classification - and can be adapted more easily and efficiently for multiclass problems. Like SVM, LR can be kernelised for nonlinear classification, and it shows comparable classification accuracy to SVM methods. This work is a case study, comparing accuracy and speed of SVM and LR classifiers in detection of LSB Matching and other related spatial-domain image steganography, through the state-of-art 686-dimensional SPAM feature set, in three image sets.
SEPARATION PHENOMENA LOGISTIC REGRESSION
Directory of Open Access Journals (Sweden)
Ikaro Daniel de Carvalho Barreto
2014-03-01
Full Text Available This paper proposes an application of concepts about the maximum likelihood estimation of the binomial logistic regression model to the separation phenomena. It generates bias in the estimation and provides different interpretations of the estimates on the different statistical tests (Wald, Likelihood Ratio and Score and provides different estimates on the different iterative methods (Newton-Raphson and Fisher Score. It also presents an example that demonstrates the direct implications for the validation of the model and validation of variables, the implications for estimates of odds ratios and confidence intervals, generated from the Wald statistics. Furthermore, we present, briefly, the Firth correction to circumvent the phenomena of separation.
DEFF Research Database (Denmark)
Ozenne, Brice; Sørensen, Anne Lyngholm; Scheike, Thomas
2017-01-01
In the presence of competing risks a prediction of the time-dynamic absolute risk of an event can be based on cause-specific Cox regression models for the event and the competing risks (Benichou and Gail, 1990). We present computationally fast and memory optimized C++ functions with an R interface......-product we obtain fast access to the baseline hazards (compared to survival::basehaz()) and predictions of survival probabilities, their confidence intervals and confidence bands. Confidence intervals and confidence bands are based on point-wise asymptotic expansions of the corresponding statistical...
Adaptive metric kernel regression
DEFF Research Database (Denmark)
Goutte, Cyril; Larsen, Jan
2000-01-01
Kernel smoothing is a widely used non-parametric pattern recognition technique. By nature, it suffers from the curse of dimensionality and is usually difficult to apply to high input dimensions. In this contribution, we propose an algorithm that adapts the input metric used in multivariate...... regression by minimising a cross-validation estimate of the generalisation error. This allows to automatically adjust the importance of different dimensions. The improvement in terms of modelling performance is illustrated on a variable selection task where the adaptive metric kernel clearly outperforms...
Adaptive Metric Kernel Regression
DEFF Research Database (Denmark)
Goutte, Cyril; Larsen, Jan
1998-01-01
Kernel smoothing is a widely used nonparametric pattern recognition technique. By nature, it suffers from the curse of dimensionality and is usually difficult to apply to high input dimensions. In this paper, we propose an algorithm that adapts the input metric used in multivariate regression...... by minimising a cross-validation estimate of the generalisation error. This allows one to automatically adjust the importance of different dimensions. The improvement in terms of modelling performance is illustrated on a variable selection task where the adaptive metric kernel clearly outperforms the standard...
Stone, Susanna; Johnson, Kate M; Beall, Erica; Meindl, Peter; Smith, Benjamin; Graham, Jesse
2014-07-01
Political psychology is a dynamic field of research that offers a unique blend of approaches and methods in the social and cognitive sciences. Political psychologists explore the interactions between macrolevel political structures and microlevel factors such as decision-making processes, motivations, and perceptions. In this article, we provide a broad overview of the field, beginning with a brief history of political psychology research and a summary of the primary methodological approaches in the field. We then give a more detailed account of research on ideology and social justice, two topics experiencing a resurgence of interest in current political psychology. Finally, we cover research on political persuasion and voting behavior. By summarizing these major areas of political psychology research, we hope to highlight the wide variety of theoretical and methodological approaches of cognitive scientists working at the intersection of psychology and political science. WIREs Cogn Sci 2014, 5:373-385. doi: 10.1002/wcs.1293 For further resources related to this article, please visit the WIREs website. The authors have declared no conflicts of interest for this article. © 2014 John Wiley & Sons, Ltd.
DEFF Research Database (Denmark)
Hansen, Henrik; Tarp, Finn
2001-01-01
This paper examines the relationship between foreign aid and growth in real GDP per capita as it emerges from simple augmentations of popular cross country growth specifications. It is shown that aid in all likelihood increases the growth rate, and this result is not conditional on ‘good’ policy....... investment. We conclude by stressing the need for more theoretical work before this kind of cross-country regressions are used for policy purposes.......This paper examines the relationship between foreign aid and growth in real GDP per capita as it emerges from simple augmentations of popular cross country growth specifications. It is shown that aid in all likelihood increases the growth rate, and this result is not conditional on ‘good’ policy...
Modified Regression Correlation Coefficient for Poisson Regression Model
Kaengthong, Nattacha; Domthong, Uthumporn
2017-09-01
This study gives attention to indicators in predictive power of the Generalized Linear Model (GLM) which are widely used; however, often having some restrictions. We are interested in regression correlation coefficient for a Poisson regression model. This is a measure of predictive power, and defined by the relationship between the dependent variable (Y) and the expected value of the dependent variable given the independent variables [E(Y|X)] for the Poisson regression model. The dependent variable is distributed as Poisson. The purpose of this research was modifying regression correlation coefficient for Poisson regression model. We also compare the proposed modified regression correlation coefficient with the traditional regression correlation coefficient in the case of two or more independent variables, and having multicollinearity in independent variables. The result shows that the proposed regression correlation coefficient is better than the traditional regression correlation coefficient based on Bias and the Root Mean Square Error (RMSE).
Luo, Chongliang; Liu, Jin; Dey, Dipak K; Chen, Kun
2016-07-01
In many fields, multi-view datasets, measuring multiple distinct but interrelated sets of characteristics on the same set of subjects, together with data on certain outcomes or phenotypes, are routinely collected. The objective in such a problem is often two-fold: both to explore the association structures of multiple sets of measurements and to develop a parsimonious model for predicting the future outcomes. We study a unified canonical variate regression framework to tackle the two problems simultaneously. The proposed criterion integrates multiple canonical correlation analysis with predictive modeling, balancing between the association strength of the canonical variates and their joint predictive power on the outcomes. Moreover, the proposed criterion seeks multiple sets of canonical variates simultaneously to enable the examination of their joint effects on the outcomes, and is able to handle multivariate and non-Gaussian outcomes. An efficient algorithm based on variable splitting and Lagrangian multipliers is proposed. Simulation studies show the superior performance of the proposed approach. We demonstrate the effectiveness of the proposed approach in an [Formula: see text] intercross mice study and an alcohol dependence study. © The Author 2016. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.
DEFF Research Database (Denmark)
Adrian, Stine Willum
2015-01-01
’. This theoretical work has three aims. First, it seeks to illustrate how the story of psychological IVF offers a rich range of materializations of emotions. Secondly, this work proposes a feminist materialist conceptualization of emotions that is both non-representational and posthuman. This conceptualization draws...
Parin, V. V.; Gorbov, F. D.; Kosmolinskiy, F. P.
1974-01-01
Psychological selection of astronauts considers mental responses and adaptation to the following space flight stress factors: (1) confinement in a small space; (2) changes in three dimensional orientation; (3) effects of altered gravity and weightlessness; (4) decrease in afferent nerve pulses; (5) a sensation of novelty and danger; and (6) a sense of separation from earth.
Household composition and psychological health
DEFF Research Database (Denmark)
Joensen, Lene Eide; Willaing, Ingrid; Holt, Richard I G
2017-01-01
AIMS: 1) To explore the effect of household composition on the psychological health of adults with diabetes by comparing those living with other adult(s) including a partner with those living with neither partner nor other adult(s); 2) to examine potential mediation of social support...... in the association between household composition and psychological health. METHODS: The study is part of the DAWN2 study conducted in 17 countries. The population comprised 8596 people with diabetes (PWD). Multiple regression models (linear and binary) were applied. RESULTS: People living with 'other adult...... to the other household composition groups. The association between household composition and psychological health was not mediated by diabetes-specific social support. CONCLUSIONS: The study indicates the psychological vulnerability of respondents living without a partner but with other adult(s). Appropriate...
Acculturation, personality, and psychological adjustment.
Ahadi, Stephan A; Puente-Díaz, Rogelio
2011-12-01
Two studies investigated relationships between traditional indicators of acculturation, cultural distance, acculturation strategies, and basic dimensions of personality as they pertain to psychological adjustment among Hispanic students. Although personality characteristics have been shown to be important determinants of psychological well-being, acculturation research has put less emphasis on the role of personality in the well-being of immigrants. Hierarchical regression analysis showed that basic dimensions of personality such as extraversion and neuroticism were strongly related to psychological adjustment. Acculturation strategies did not mediate the effect of personality variables, but cultural resistance made a small, independent contribution to the explanation of some aspects of negative psychological adjustment. The implications of the results were discussed.
Polynomial regression analysis and significance test of the regression function
International Nuclear Information System (INIS)
Gao Zhengming; Zhao Juan; He Shengping
2012-01-01
In order to analyze the decay heating power of a certain radioactive isotope per kilogram with polynomial regression method, the paper firstly demonstrated the broad usage of polynomial function and deduced its parameters with ordinary least squares estimate. Then significance test method of polynomial regression function is derived considering the similarity between the polynomial regression model and the multivariable linear regression model. Finally, polynomial regression analysis and significance test of the polynomial function are done to the decay heating power of the iso tope per kilogram in accord with the authors' real work. (authors)
Experience with psychological consequences of the Chernobyl nuclear plant accident
International Nuclear Information System (INIS)
Buzunov, V.A.; Druzhinin, A.M.; Druzhinina, E.S.
1993-01-01
The paper describes the image of radiation menance. Basic differences in image parameters are revealed for some population groups. The psychological levels of the image are regarded as psychological phenomena. Some specific psychological consequences of mental regression are outlined in the paper
Recursive Algorithm For Linear Regression
Varanasi, S. V.
1988-01-01
Order of model determined easily. Linear-regression algorithhm includes recursive equations for coefficients of model of increased order. Algorithm eliminates duplicative calculations, facilitates search for minimum order of linear-regression model fitting set of data satisfactory.
Combining Alphas via Bounded Regression
Directory of Open Access Journals (Sweden)
Zura Kakushadze
2015-11-01
Full Text Available We give an explicit algorithm and source code for combining alpha streams via bounded regression. In practical applications, typically, there is insufficient history to compute a sample covariance matrix (SCM for a large number of alphas. To compute alpha allocation weights, one then resorts to (weighted regression over SCM principal components. Regression often produces alpha weights with insufficient diversification and/or skewed distribution against, e.g., turnover. This can be rectified by imposing bounds on alpha weights within the regression procedure. Bounded regression can also be applied to stock and other asset portfolio construction. We discuss illustrative examples.
Regression in autistic spectrum disorders.
Stefanatos, Gerry A
2008-12-01
A significant proportion of children diagnosed with Autistic Spectrum Disorder experience a developmental regression characterized by a loss of previously-acquired skills. This may involve a loss of speech or social responsitivity, but often entails both. This paper critically reviews the phenomena of regression in autistic spectrum disorders, highlighting the characteristics of regression, age of onset, temporal course, and long-term outcome. Important considerations for diagnosis are discussed and multiple etiological factors currently hypothesized to underlie the phenomenon are reviewed. It is argued that regressive autistic spectrum disorders can be conceptualized on a spectrum with other regressive disorders that may share common pathophysiological features. The implications of this viewpoint are discussed.
Linear regression in astronomy. I
Isobe, Takashi; Feigelson, Eric D.; Akritas, Michael G.; Babu, Gutti Jogesh
1990-01-01
Five methods for obtaining linear regression fits to bivariate data with unknown or insignificant measurement errors are discussed: ordinary least-squares (OLS) regression of Y on X, OLS regression of X on Y, the bisector of the two OLS lines, orthogonal regression, and 'reduced major-axis' regression. These methods have been used by various researchers in observational astronomy, most importantly in cosmic distance scale applications. Formulas for calculating the slope and intercept coefficients and their uncertainties are given for all the methods, including a new general form of the OLS variance estimates. The accuracy of the formulas was confirmed using numerical simulations. The applicability of the procedures is discussed with respect to their mathematical properties, the nature of the astronomical data under consideration, and the scientific purpose of the regression. It is found that, for problems needing symmetrical treatment of the variables, the OLS bisector performs significantly better than orthogonal or reduced major-axis regression.
Advanced statistics: linear regression, part I: simple linear regression.
Marill, Keith A
2004-01-01
Simple linear regression is a mathematical technique used to model the relationship between a single independent predictor variable and a single dependent outcome variable. In this, the first of a two-part series exploring concepts in linear regression analysis, the four fundamental assumptions and the mechanics of simple linear regression are reviewed. The most common technique used to derive the regression line, the method of least squares, is described. The reader will be acquainted with other important concepts in simple linear regression, including: variable transformations, dummy variables, relationship to inference testing, and leverage. Simplified clinical examples with small datasets and graphic models are used to illustrate the points. This will provide a foundation for the second article in this series: a discussion of multiple linear regression, in which there are multiple predictor variables.
Psychology Faculty Perceptions of Abnormal Psychology Textbooks
Rapport, Zachary
2011-01-01
The problem. The purpose of the current study was to investigate the perceptions and opinions of psychology professors regarding the accuracy and inclusiveness of abnormal psychology textbooks. It sought answers from psychology professors to the following questions: (1) What are the expectations of the psychology faculty at a private university of…
Psychology of religion: perspectives from cultural psychology
Belzen, J.A.
2010-01-01
After a brief introduction, this paper tries to establish what type of psychology the psychology of religion is. Having introduced cultural psychology in general, some theories applicable in research on religion are presented, and some examples of cultural psychological research of religious
Regression away from the mean: Theory and examples.
Schwarz, Wolf; Reike, Dennis
2018-02-01
Using a standard repeated measures model with arbitrary true score distribution and normal error variables, we present some fundamental closed-form results which explicitly indicate the conditions under which regression effects towards (RTM) and away from the mean are expected. Specifically, we show that for skewed and bimodal distributions many or even most cases will show a regression effect that is in expectation away from the mean, or that is not just towards but actually beyond the mean. We illustrate our results in quantitative detail with typical examples from experimental and biometric applications, which exhibit a clear regression away from the mean ('egression from the mean') signature. We aim not to repeal cautionary advice against potential RTM effects, but to present a balanced view of regression effects, based on a clear identification of the conditions governing the form that regression effects take in repeated measures designs. © 2017 The British Psychological Society.
Linear regression in astronomy. II
Feigelson, Eric D.; Babu, Gutti J.
1992-01-01
A wide variety of least-squares linear regression procedures used in observational astronomy, particularly investigations of the cosmic distance scale, are presented and discussed. The classes of linear models considered are (1) unweighted regression lines, with bootstrap and jackknife resampling; (2) regression solutions when measurement error, in one or both variables, dominates the scatter; (3) methods to apply a calibration line to new data; (4) truncated regression models, which apply to flux-limited data sets; and (5) censored regression models, which apply when nondetections are present. For the calibration problem we develop two new procedures: a formula for the intercept offset between two parallel data sets, which propagates slope errors from one regression to the other; and a generalization of the Working-Hotelling confidence bands to nonstandard least-squares lines. They can provide improved error analysis for Faber-Jackson, Tully-Fisher, and similar cosmic distance scale relations.
Time-adaptive quantile regression
DEFF Research Database (Denmark)
Møller, Jan Kloppenborg; Nielsen, Henrik Aalborg; Madsen, Henrik
2008-01-01
and an updating procedure are combined into a new algorithm for time-adaptive quantile regression, which generates new solutions on the basis of the old solution, leading to savings in computation time. The suggested algorithm is tested against a static quantile regression model on a data set with wind power......An algorithm for time-adaptive quantile regression is presented. The algorithm is based on the simplex algorithm, and the linear optimization formulation of the quantile regression problem is given. The observations have been split to allow a direct use of the simplex algorithm. The simplex method...... production, where the models combine splines and quantile regression. The comparison indicates superior performance for the time-adaptive quantile regression in all the performance parameters considered....
Retro-regression--another important multivariate regression improvement.
Randić, M
2001-01-01
We review the serious problem associated with instabilities of the coefficients of regression equations, referred to as the MRA (multivariate regression analysis) "nightmare of the first kind". This is manifested when in a stepwise regression a descriptor is included or excluded from a regression. The consequence is an unpredictable change of the coefficients of the descriptors that remain in the regression equation. We follow with consideration of an even more serious problem, referred to as the MRA "nightmare of the second kind", arising when optimal descriptors are selected from a large pool of descriptors. This process typically causes at different steps of the stepwise regression a replacement of several previously used descriptors by new ones. We describe a procedure that resolves these difficulties. The approach is illustrated on boiling points of nonanes which are considered (1) by using an ordered connectivity basis; (2) by using an ordering resulting from application of greedy algorithm; and (3) by using an ordering derived from an exhaustive search for optimal descriptors. A novel variant of multiple regression analysis, called retro-regression (RR), is outlined showing how it resolves the ambiguities associated with both "nightmares" of the first and the second kind of MRA.
Quantile regression theory and applications
Davino, Cristina; Vistocco, Domenico
2013-01-01
A guide to the implementation and interpretation of Quantile Regression models This book explores the theory and numerous applications of quantile regression, offering empirical data analysis as well as the software tools to implement the methods. The main focus of this book is to provide the reader with a comprehensivedescription of the main issues concerning quantile regression; these include basic modeling, geometrical interpretation, estimation and inference for quantile regression, as well as issues on validity of the model, diagnostic tools. Each methodological aspect is explored and
Robust Mediation Analysis Based on Median Regression
Yuan, Ying; MacKinnon, David P.
2014-01-01
Mediation analysis has many applications in psychology and the social sciences. The most prevalent methods typically assume that the error distribution is normal and homoscedastic. However, this assumption may rarely be met in practice, which can affect the validity of the mediation analysis. To address this problem, we propose robust mediation analysis based on median regression. Our approach is robust to various departures from the assumption of homoscedasticity and normality, including heavy-tailed, skewed, contaminated, and heteroscedastic distributions. Simulation studies show that under these circumstances, the proposed method is more efficient and powerful than standard mediation analysis. We further extend the proposed robust method to multilevel mediation analysis, and demonstrate through simulation studies that the new approach outperforms the standard multilevel mediation analysis. We illustrate the proposed method using data from a program designed to increase reemployment and enhance mental health of job seekers. PMID:24079925
DEFF Research Database (Denmark)
Skinner, T. C.
2004-01-01
Type 2 diabetes treatment outcomes ultimately depend on patients and their ability to make long-term behavioural changes that support good self-care and metabolic control. Patients' perceptions about diabetes and diabetes-related complications can have a strong influence on their emotional well...... of lifestyle changes and pharmacological therapy in preventing future complications. Negative emotions and preconceptions about treatment can also discourage adherence to treatment plans. 'Psychological Insulin resistance' caused by fear and concerns about insulin and daily insulin injections can discourage...... many patients from starting insulin therapy, even if oral agents have failed. Depression, stress and anxiety represent further obstacles to optimum self-care and the attainment of glucose goals. Healthcare professionals should endeavour to understand and accommodate these issues when setting personal...
Panel Smooth Transition Regression Models
DEFF Research Database (Denmark)
González, Andrés; Terasvirta, Timo; Dijk, Dick van
We introduce the panel smooth transition regression model. This new model is intended for characterizing heterogeneous panels, allowing the regression coefficients to vary both across individuals and over time. Specifically, heterogeneity is allowed for by assuming that these coefficients are bou...
Testing discontinuities in nonparametric regression
Dai, Wenlin
2017-01-19
In nonparametric regression, it is often needed to detect whether there are jump discontinuities in the mean function. In this paper, we revisit the difference-based method in [13 H.-G. Müller and U. Stadtmüller, Discontinuous versus smooth regression, Ann. Stat. 27 (1999), pp. 299–337. doi: 10.1214/aos/1018031100
Testing discontinuities in nonparametric regression
Dai, Wenlin; Zhou, Yuejin; Tong, Tiejun
2017-01-01
In nonparametric regression, it is often needed to detect whether there are jump discontinuities in the mean function. In this paper, we revisit the difference-based method in [13 H.-G. Müller and U. Stadtmüller, Discontinuous versus smooth regression, Ann. Stat. 27 (1999), pp. 299–337. doi: 10.1214/aos/1018031100
Logistic Regression: Concept and Application
Cokluk, Omay
2010-01-01
The main focus of logistic regression analysis is classification of individuals in different groups. The aim of the present study is to explain basic concepts and processes of binary logistic regression analysis intended to determine the combination of independent variables which best explain the membership in certain groups called dichotomous…
Fungible weights in logistic regression.
Jones, Jeff A; Waller, Niels G
2016-06-01
In this article we develop methods for assessing parameter sensitivity in logistic regression models. To set the stage for this work, we first review Waller's (2008) equations for computing fungible weights in linear regression. Next, we describe 2 methods for computing fungible weights in logistic regression. To demonstrate the utility of these methods, we compute fungible logistic regression weights using data from the Centers for Disease Control and Prevention's (2010) Youth Risk Behavior Surveillance Survey, and we illustrate how these alternate weights can be used to evaluate parameter sensitivity. To make our work accessible to the research community, we provide R code (R Core Team, 2015) that will generate both kinds of fungible logistic regression weights. (PsycINFO Database Record (c) 2016 APA, all rights reserved).
International Nuclear Information System (INIS)
Leng Ling; Zhang Tianyi; Kleinman, Lawrence; Zhu Wei
2007-01-01
Regression analysis, especially the ordinary least squares method which assumes that errors are confined to the dependent variable, has seen a fair share of its applications in aerosol science. The ordinary least squares approach, however, could be problematic due to the fact that atmospheric data often does not lend itself to calling one variable independent and the other dependent. Errors often exist for both measurements. In this work, we examine two regression approaches available to accommodate this situation. They are orthogonal regression and geometric mean regression. Comparisons are made theoretically as well as numerically through an aerosol study examining whether the ratio of organic aerosol to CO would change with age
Tumor regression patterns in retinoblastoma
International Nuclear Information System (INIS)
Zafar, S.N.; Siddique, S.N.; Zaheer, N.
2016-01-01
To observe the types of tumor regression after treatment, and identify the common pattern of regression in our patients. Study Design: Descriptive study. Place and Duration of Study: Department of Pediatric Ophthalmology and Strabismus, Al-Shifa Trust Eye Hospital, Rawalpindi, Pakistan, from October 2011 to October 2014. Methodology: Children with unilateral and bilateral retinoblastoma were included in the study. Patients were referred to Pakistan Institute of Medical Sciences, Islamabad, for chemotherapy. After every cycle of chemotherapy, dilated funds examination under anesthesia was performed to record response of the treatment. Regression patterns were recorded on RetCam II. Results: Seventy-four tumors were included in the study. Out of 74 tumors, 3 were ICRB group A tumors, 43 were ICRB group B tumors, 14 tumors belonged to ICRB group C, and remaining 14 were ICRB group D tumors. Type IV regression was seen in 39.1% (n=29) tumors, type II in 29.7% (n=22), type III in 25.6% (n=19), and type I in 5.4% (n=4). All group A tumors (100%) showed type IV regression. Seventeen (39.5%) group B tumors showed type IV regression. In group C, 5 tumors (35.7%) showed type II regression and 5 tumors (35.7%) showed type IV regression. In group D, 6 tumors (42.9%) regressed to type II non-calcified remnants. Conclusion: The response and success of the focal and systemic treatment, as judged by the appearance of different patterns of tumor regression, varies with the ICRB grouping of the tumor. (author)
Regression to Causality : Regression-style presentation influences causal attribution
DEFF Research Database (Denmark)
Bordacconi, Mats Joe; Larsen, Martin Vinæs
2014-01-01
of equivalent results presented as either regression models or as a test of two sample means. Our experiment shows that the subjects who were presented with results as estimates from a regression model were more inclined to interpret these results causally. Our experiment implies that scholars using regression...... models – one of the primary vehicles for analyzing statistical results in political science – encourage causal interpretation. Specifically, we demonstrate that presenting observational results in a regression model, rather than as a simple comparison of means, makes causal interpretation of the results...... more likely. Our experiment drew on a sample of 235 university students from three different social science degree programs (political science, sociology and economics), all of whom had received substantial training in statistics. The subjects were asked to compare and evaluate the validity...
Regression analysis with categorized regression calibrated exposure: some interesting findings
Directory of Open Access Journals (Sweden)
Hjartåker Anette
2006-07-01
Full Text Available Abstract Background Regression calibration as a method for handling measurement error is becoming increasingly well-known and used in epidemiologic research. However, the standard version of the method is not appropriate for exposure analyzed on a categorical (e.g. quintile scale, an approach commonly used in epidemiologic studies. A tempting solution could then be to use the predicted continuous exposure obtained through the regression calibration method and treat it as an approximation to the true exposure, that is, include the categorized calibrated exposure in the main regression analysis. Methods We use semi-analytical calculations and simulations to evaluate the performance of the proposed approach compared to the naive approach of not correcting for measurement error, in situations where analyses are performed on quintile scale and when incorporating the original scale into the categorical variables, respectively. We also present analyses of real data, containing measures of folate intake and depression, from the Norwegian Women and Cancer study (NOWAC. Results In cases where extra information is available through replicated measurements and not validation data, regression calibration does not maintain important qualities of the true exposure distribution, thus estimates of variance and percentiles can be severely biased. We show that the outlined approach maintains much, in some cases all, of the misclassification found in the observed exposure. For that reason, regression analysis with the corrected variable included on a categorical scale is still biased. In some cases the corrected estimates are analytically equal to those obtained by the naive approach. Regression calibration is however vastly superior to the naive method when applying the medians of each category in the analysis. Conclusion Regression calibration in its most well-known form is not appropriate for measurement error correction when the exposure is analyzed on a
Advanced statistics: linear regression, part II: multiple linear regression.
Marill, Keith A
2004-01-01
The applications of simple linear regression in medical research are limited, because in most situations, there are multiple relevant predictor variables. Univariate statistical techniques such as simple linear regression use a single predictor variable, and they often may be mathematically correct but clinically misleading. Multiple linear regression is a mathematical technique used to model the relationship between multiple independent predictor variables and a single dependent outcome variable. It is used in medical research to model observational data, as well as in diagnostic and therapeutic studies in which the outcome is dependent on more than one factor. Although the technique generally is limited to data that can be expressed with a linear function, it benefits from a well-developed mathematical framework that yields unique solutions and exact confidence intervals for regression coefficients. Building on Part I of this series, this article acquaints the reader with some of the important concepts in multiple regression analysis. These include multicollinearity, interaction effects, and an expansion of the discussion of inference testing, leverage, and variable transformations to multivariate models. Examples from the first article in this series are expanded on using a primarily graphic, rather than mathematical, approach. The importance of the relationships among the predictor variables and the dependence of the multivariate model coefficients on the choice of these variables are stressed. Finally, concepts in regression model building are discussed.
Logic regression and its extensions.
Schwender, Holger; Ruczinski, Ingo
2010-01-01
Logic regression is an adaptive classification and regression procedure, initially developed to reveal interacting single nucleotide polymorphisms (SNPs) in genetic association studies. In general, this approach can be used in any setting with binary predictors, when the interaction of these covariates is of primary interest. Logic regression searches for Boolean (logic) combinations of binary variables that best explain the variability in the outcome variable, and thus, reveals variables and interactions that are associated with the response and/or have predictive capabilities. The logic expressions are embedded in a generalized linear regression framework, and thus, logic regression can handle a variety of outcome types, such as binary responses in case-control studies, numeric responses, and time-to-event data. In this chapter, we provide an introduction to the logic regression methodology, list some applications in public health and medicine, and summarize some of the direct extensions and modifications of logic regression that have been proposed in the literature. Copyright © 2010 Elsevier Inc. All rights reserved.
Directory of Open Access Journals (Sweden)
Narciso Benbenaste
2014-12-01
Full Text Available Anomie is a phenomenon which not only affects daily life but also the quality of institutions and therefore, as studied by economic neo-institutionalism, the possibilities of economic development. So far the treatment of this phenomenon comes predominantly from the sociological theory. In the fi rst part of this paper we recognize some of Emile Durkheim´s contributions, adding Nino´s perspicacious comments as regards “anomia boba” (“dull anomie”.Then we describe, what makes the main purpose of this article, what we believe to be the basic psychological confi guration of a population in which anomie is not perceived as a negative value. That basic confi guration, which takes as a reference observations and data from our own research, consists of the following four characteristics-defi ned psychologically as regressive features: a The individual development represented as opposite to social interest; b tendency to represent the hierarchy as authoritarianism, where there is no difference between authority and authoritarianism; c the primarization of secondary links; d male chauvinism.
Henley, Nancy M.
1985-01-01
Considers recent efforts within the field of psychology to understand issues involving gender. Demonstrates patterns of development within feminist psychology and its relation to mainstream psychology. Examines status of the field, two case studies, and new research. (Author/SA)
Psychology Ethics in Introductory Psychology Textbooks
Zucchero, Renee' A.
2011-01-01
Previous research revealed that introductory psychology textbooks included limited information about psychology ethics. This study reviewed 48 current introductory psychology textbooks for research and other APA ethics content. These textbooks included slightly more total ethics content and were more thorough in their review of research ethics…
Abstract Expression Grammar Symbolic Regression
Korns, Michael F.
This chapter examines the use of Abstract Expression Grammars to perform the entire Symbolic Regression process without the use of Genetic Programming per se. The techniques explored produce a symbolic regression engine which has absolutely no bloat, which allows total user control of the search space and output formulas, which is faster, and more accurate than the engines produced in our previous papers using Genetic Programming. The genome is an all vector structure with four chromosomes plus additional epigenetic and constraint vectors, allowing total user control of the search space and the final output formulas. A combination of specialized compiler techniques, genetic algorithms, particle swarm, aged layered populations, plus discrete and continuous differential evolution are used to produce an improved symbolic regression sytem. Nine base test cases, from the literature, are used to test the improvement in speed and accuracy. The improved results indicate that these techniques move us a big step closer toward future industrial strength symbolic regression systems.
Quantile Regression With Measurement Error
Wei, Ying; Carroll, Raymond J.
2009-01-01
. The finite sample performance of the proposed method is investigated in a simulation study, and compared to the standard regression calibration approach. Finally, we apply our methodology to part of the National Collaborative Perinatal Project growth data, a
From Rasch scores to regression
DEFF Research Database (Denmark)
Christensen, Karl Bang
2006-01-01
Rasch models provide a framework for measurement and modelling latent variables. Having measured a latent variable in a population a comparison of groups will often be of interest. For this purpose the use of observed raw scores will often be inadequate because these lack interval scale propertie....... This paper compares two approaches to group comparison: linear regression models using estimated person locations as outcome variables and latent regression models based on the distribution of the score....
Testing Heteroscedasticity in Robust Regression
Czech Academy of Sciences Publication Activity Database
Kalina, Jan
2011-01-01
Roč. 1, č. 4 (2011), s. 25-28 ISSN 2045-3345 Grant - others:GA ČR(CZ) GA402/09/0557 Institutional research plan: CEZ:AV0Z10300504 Keywords : robust regression * heteroscedasticity * regression quantiles * diagnostics Subject RIV: BB - Applied Statistics , Operational Research http://www.researchjournals.co.uk/documents/Vol4/06%20Kalina.pdf
Regression methods for medical research
Tai, Bee Choo
2013-01-01
Regression Methods for Medical Research provides medical researchers with the skills they need to critically read and interpret research using more advanced statistical methods. The statistical requirements of interpreting and publishing in medical journals, together with rapid changes in science and technology, increasingly demands an understanding of more complex and sophisticated analytic procedures.The text explains the application of statistical models to a wide variety of practical medical investigative studies and clinical trials. Regression methods are used to appropriately answer the
Forecasting with Dynamic Regression Models
Pankratz, Alan
2012-01-01
One of the most widely used tools in statistical forecasting, single equation regression models is examined here. A companion to the author's earlier work, Forecasting with Univariate Box-Jenkins Models: Concepts and Cases, the present text pulls together recent time series ideas and gives special attention to possible intertemporal patterns, distributed lag responses of output to input series and the auto correlation patterns of regression disturbance. It also includes six case studies.
Testing the psychological barrier in borsa Istanbul
Çinko, Murat
2014-01-01
The aim of the study is to find out the existence of “psychological barriers” in Borsa Istanbul. The importance of this study is that Psychological Barrier has never been tested in Borsa Istanbul. The data set consists of 2523 daily closing index values between 03 April 2003 to 12 April 2013. The reason of choosing these dates is that all index values have five digits. Chi - Square goodness of fit test and regression analysis indicate that there exists a psychological barrier at thousands lev...
Logistic regression for dichotomized counts.
Preisser, John S; Das, Kalyan; Benecha, Habtamu; Stamm, John W
2016-12-01
Sometimes there is interest in a dichotomized outcome indicating whether a count variable is positive or zero. Under this scenario, the application of ordinary logistic regression may result in efficiency loss, which is quantifiable under an assumed model for the counts. In such situations, a shared-parameter hurdle model is investigated for more efficient estimation of regression parameters relating to overall effects of covariates on the dichotomous outcome, while handling count data with many zeroes. One model part provides a logistic regression containing marginal log odds ratio effects of primary interest, while an ancillary model part describes the mean count of a Poisson or negative binomial process in terms of nuisance regression parameters. Asymptotic efficiency of the logistic model parameter estimators of the two-part models is evaluated with respect to ordinary logistic regression. Simulations are used to assess the properties of the models with respect to power and Type I error, the latter investigated under both misspecified and correctly specified models. The methods are applied to data from a randomized clinical trial of three toothpaste formulations to prevent incident dental caries in a large population of Scottish schoolchildren. © The Author(s) 2014.
Producing The New Regressive Left
DEFF Research Database (Denmark)
Crone, Christine
members, this thesis investigates a growing political trend and ideological discourse in the Arab world that I have called The New Regressive Left. On the premise that a media outlet can function as a forum for ideology production, the thesis argues that an analysis of this material can help to trace...... the contexture of The New Regressive Left. If the first part of the thesis lays out the theoretical approach and draws the contextual framework, through an exploration of the surrounding Arab media-and ideoscapes, the second part is an analytical investigation of the discourse that permeates the programmes aired...... becomes clear from the analytical chapters is the emergence of the new cross-ideological alliance of The New Regressive Left. This emerging coalition between Shia Muslims, religious minorities, parts of the Arab Left, secular cultural producers, and the remnants of the political,strategic resistance...
Mainstreaming Culture in Psychology
Cheung, Fanny M.
2012-01-01
Despite the "awakening" to the importance of culture in psychology in America, international psychology has remained on the sidelines of psychological science. The author recounts her personal and professional experience in tandem with the stages of development in international/cross-cultural psychology. Based on her research in cross-cultural…
A Matlab program for stepwise regression
Directory of Open Access Journals (Sweden)
Yanhong Qi
2016-03-01
Full Text Available The stepwise linear regression is a multi-variable regression for identifying statistically significant variables in the linear regression equation. In present study, we presented the Matlab program of stepwise regression.
Correlation and simple linear regression.
Zou, Kelly H; Tuncali, Kemal; Silverman, Stuart G
2003-06-01
In this tutorial article, the concepts of correlation and regression are reviewed and demonstrated. The authors review and compare two correlation coefficients, the Pearson correlation coefficient and the Spearman rho, for measuring linear and nonlinear relationships between two continuous variables. In the case of measuring the linear relationship between a predictor and an outcome variable, simple linear regression analysis is conducted. These statistical concepts are illustrated by using a data set from published literature to assess a computed tomography-guided interventional technique. These statistical methods are important for exploring the relationships between variables and can be applied to many radiologic studies.
Regression filter for signal resolution
International Nuclear Information System (INIS)
Matthes, W.
1975-01-01
The problem considered is that of resolving a measured pulse height spectrum of a material mixture, e.g. gamma ray spectrum, Raman spectrum, into a weighed sum of the spectra of the individual constituents. The model on which the analytical formulation is based is described. The problem reduces to that of a multiple linear regression. A stepwise linear regression procedure was constructed. The efficiency of this method was then tested by transforming the procedure in a computer programme which was used to unfold test spectra obtained by mixing some spectra, from a library of arbitrary chosen spectra, and adding a noise component. (U.K.)
Nonparametric Mixture of Regression Models.
Huang, Mian; Li, Runze; Wang, Shaoli
2013-07-01
Motivated by an analysis of US house price index data, we propose nonparametric finite mixture of regression models. We study the identifiability issue of the proposed models, and develop an estimation procedure by employing kernel regression. We further systematically study the sampling properties of the proposed estimators, and establish their asymptotic normality. A modified EM algorithm is proposed to carry out the estimation procedure. We show that our algorithm preserves the ascent property of the EM algorithm in an asymptotic sense. Monte Carlo simulations are conducted to examine the finite sample performance of the proposed estimation procedure. An empirical analysis of the US house price index data is illustrated for the proposed methodology.
Cactus: An Introduction to Regression
Hyde, Hartley
2008-01-01
When the author first used "VisiCalc," the author thought it a very useful tool when he had the formulas. But how could he design a spreadsheet if there was no known formula for the quantities he was trying to predict? A few months later, the author relates he learned to use multiple linear regression software and suddenly it all clicked into…
Regression Models for Repairable Systems
Czech Academy of Sciences Publication Activity Database
Novák, Petr
2015-01-01
Roč. 17, č. 4 (2015), s. 963-972 ISSN 1387-5841 Institutional support: RVO:67985556 Keywords : Reliability analysis * Repair models * Regression Subject RIV: BB - Applied Statistics, Operational Research Impact factor: 0.782, year: 2015 http://library.utia.cas.cz/separaty/2015/SI/novak-0450902.pdf
Survival analysis II: Cox regression
Stel, Vianda S.; Dekker, Friedo W.; Tripepi, Giovanni; Zoccali, Carmine; Jager, Kitty J.
2011-01-01
In contrast to the Kaplan-Meier method, Cox proportional hazards regression can provide an effect estimate by quantifying the difference in survival between patient groups and can adjust for confounding effects of other variables. The purpose of this article is to explain the basic concepts of the
Kernel regression with functional response
Ferraty, Frédéric; Laksaci, Ali; Tadj, Amel; Vieu, Philippe
2011-01-01
We consider kernel regression estimate when both the response variable and the explanatory one are functional. The rates of uniform almost complete convergence are stated as function of the small ball probability of the predictor and as function of the entropy of the set on which uniformity is obtained.
Cognitive psychology and depth psychology backgrounds
International Nuclear Information System (INIS)
Fritzsche, A.F.
1986-01-01
The sixth chapter gives an insight into the risk perception process which is highly determined by emotions, and, thus, deals with the psychological backgrounds of both the conscious cognitive and the subconscious intuitive realms of the human psyche. The chapter deals with the formation of opinion and the origination of an attitude towards an issue; cognitive-psychological patterns of thinking from the field of risk perception; the question of man's rationality; pertinent aspects of group behaviour; depth psychological backgrounds of the fear of technology; the collective subconscious; nuclear energy as a preferred object of projection for various psychological problems of modern man. (HSCH) [de
Career Management and the Changing Psychological Contract.
Atkinson, Carol
2002-01-01
A 1993 survey in a British bank revealed a lack of strategic approaches to career management and a negative psychological contract. A 2000 follow-up showed that employees viewed the new contract as a regression from a relational to a transactional approach. They had increased responsibility for career development, but management failed to provide…
Historizing epistemology in psychology.
Jovanović, Gordana
2010-12-01
The conflict between the psychometric methodological framework and the particularities of human experiences reported in psychotherapeutic context led Michael Schwarz to raise the question whether psychology is based on a methodological error. I take this conflict as a heuristic tool for the reconstruction of the early history of psychology, which bears witness to similar epistemological conflicts, though the dominant historiography of psychology has largely forgotten alternative conceptions and their valuable insights into complexities of psychic phenomena. In order to work against the historical amnesia in psychology I suggest to look at cultural-historical contexts which decisively shaped epistemological choices in psychology. Instead of keeping epistemology and history of psychology separate, which nurtures individualism and naturalism in psychology, I argue for historizing epistemology and for historical psychology. From such a historically reflected perspective psychology in contemporary world can be approached more critically.
Psychological Theories of Acculturation
DEFF Research Database (Denmark)
Ozer, Simon
2017-01-01
advancements, together with greater mobility. Acculturation psychology aims to comprehend the dynamic psychological processes and outcomes emanating from intercultural contact. Acculturation psychology has been a growing field of research within cross-cultural psychology. Today, psychological theories......The proliferation of cultural transition and intercultural contact has highlighted the importance of psychological theories of acculturation. Acculturation, understood as contact between diverse cultural streams, has become prevalent worldwide due to technological, economical, and educational...... of acculturation also include cognate disciplines such as cultural psychology, social psychology, sociology, and anthropology.The expansion of psychological theories of acculturation has led to advancements in the field of research as well as the bifurcation of epistemological and methodological approaches...
Regression of oral lichenoid lesions after replacement of dental restorations.
Mårell, L; Tillberg, A; Widman, L; Bergdahl, J; Berglund, A
2014-05-01
The aim of the study was to determine the prognosis and to evaluate the regression of lichenoid contact reactions (LCR) and oral lichen planus (OLP) after replacement of dental restorative materials suspected as causing the lesions. Forty-four referred patients with oral lesions participated in a follow-up study that was initiated an average of 6 years after the first examination at the Department of Odontology, i.e. the baseline examination. The patients underwent odontological clinical examination and answered a questionnaire with questions regarding dental health, medical and psychological health, and treatments undertaken from baseline to follow-up. After exchange of dental materials, regression of oral lesions was significantly higher among patients with LCR than with OLP. As no cases with OLP regressed after an exchange of materials, a proper diagnosis has to be made to avoid unnecessary exchanges of intact restorations on patients with OLP.
Shek, Daniel T L
2007-01-01
On two occasions separated by one year, Chinese adolescents (N = 2,758) responded to instruments measuring their perceived parental psychological control and psychological well-being, including hopelessness, mastery, life satisfaction, and self-esteem. Pearson correlation analyses revealed that perceived parental psychological control was concurrently related to adolescent psychological well-being at Time 1 and Time 2. Multiple regression analyses demonstrated that the relationships between perceived parental psychological control and adolescent psychological well-being over time were bidirectional in nature. Regarding the differential contribution of paternal and maternal psychological control to adolescent psychological well-being over time, paternal psychological control at Time 1 predicted changes in adolescent life satisfaction at Time 2, particularly for adolescent girls. On the other hand, maternal psychological control at Time 1 predicted changes in adolescent self-esteem at Time 2. Relative to those conditions in which one or none of the adolescents' parents was perceived to display high psychological control at Time 1, the psychological well-being of adolescents at Time 2 was poorer under the condition in which both parents were perceived to display high levels of psychological control at Time 1. The clinical implications of these findings and directions for future research are discussed. (c) 2006 Wiley Periodicals, Inc.
[Aspect of the prisoner's psychological universe].
Laxenaire, M; Steinbach, G
1978-03-01
This paper deals with an aspect of inmate's psychology. One of us is consultant psychiatrist in a jail. According to his experience, the behaviour of the prisoners appears to be very regressive. Inmates chiefly complain of digestive pains. They put a great emphasis on food, nourishment and drinking. That regression to the oral phase explains an unconscious will of staying in jail: It is rather frequent, for example, to see prisoners, who are about to recover their freedom, attempting a ridiculous and futile escape, with, as only result, one more year in jail. Obviously they want, through this absurd acting out, to keep living their childish and regressive way of life.
Quantile Regression With Measurement Error
Wei, Ying
2009-08-27
Regression quantiles can be substantially biased when the covariates are measured with error. In this paper we propose a new method that produces consistent linear quantile estimation in the presence of covariate measurement error. The method corrects the measurement error induced bias by constructing joint estimating equations that simultaneously hold for all the quantile levels. An iterative EM-type estimation algorithm to obtain the solutions to such joint estimation equations is provided. The finite sample performance of the proposed method is investigated in a simulation study, and compared to the standard regression calibration approach. Finally, we apply our methodology to part of the National Collaborative Perinatal Project growth data, a longitudinal study with an unusual measurement error structure. © 2009 American Statistical Association.
Multivariate and semiparametric kernel regression
Härdle, Wolfgang; Müller, Marlene
1997-01-01
The paper gives an introduction to theory and application of multivariate and semiparametric kernel smoothing. Multivariate nonparametric density estimation is an often used pilot tool for examining the structure of data. Regression smoothing helps in investigating the association between covariates and responses. We concentrate on kernel smoothing using local polynomial fitting which includes the Nadaraya-Watson estimator. Some theory on the asymptotic behavior and bandwidth selection is pro...
Regression algorithm for emotion detection
Berthelon , Franck; Sander , Peter
2013-01-01
International audience; We present here two components of a computational system for emotion detection. PEMs (Personalized Emotion Maps) store links between bodily expressions and emotion values, and are individually calibrated to capture each person's emotion profile. They are an implementation based on aspects of Scherer's theoretical complex system model of emotion~\\cite{scherer00, scherer09}. We also present a regression algorithm that determines a person's emotional feeling from sensor m...
Directional quantile regression in R
Czech Academy of Sciences Publication Activity Database
Boček, Pavel; Šiman, Miroslav
2017-01-01
Roč. 53, č. 3 (2017), s. 480-492 ISSN 0023-5954 R&D Projects: GA ČR GA14-07234S Institutional support: RVO:67985556 Keywords : multivariate quantile * regression quantile * halfspace depth * depth contour Subject RIV: BD - Theory of Information OBOR OECD: Applied mathematics Impact factor: 0.379, year: 2016 http://library.utia.cas.cz/separaty/2017/SI/bocek-0476587.pdf
Direction of Effects in Multiple Linear Regression Models.
Wiedermann, Wolfgang; von Eye, Alexander
2015-01-01
Previous studies analyzed asymmetric properties of the Pearson correlation coefficient using higher than second order moments. These asymmetric properties can be used to determine the direction of dependence in a linear regression setting (i.e., establish which of two variables is more likely to be on the outcome side) within the framework of cross-sectional observational data. Extant approaches are restricted to the bivariate regression case. The present contribution extends the direction of dependence methodology to a multiple linear regression setting by analyzing distributional properties of residuals of competing multiple regression models. It is shown that, under certain conditions, the third central moments of estimated regression residuals can be used to decide upon direction of effects. In addition, three different approaches for statistical inference are discussed: a combined D'Agostino normality test, a skewness difference test, and a bootstrap difference test. Type I error and power of the procedures are assessed using Monte Carlo simulations, and an empirical example is provided for illustrative purposes. In the discussion, issues concerning the quality of psychological data, possible extensions of the proposed methods to the fourth central moment of regression residuals, and potential applications are addressed.
Polylinear regression analysis in radiochemistry
International Nuclear Information System (INIS)
Kopyrin, A.A.; Terent'eva, T.N.; Khramov, N.N.
1995-01-01
A number of radiochemical problems have been formulated in the framework of polylinear regression analysis, which permits the use of conventional mathematical methods for their solution. The authors have considered features of the use of polylinear regression analysis for estimating the contributions of various sources to the atmospheric pollution, for studying irradiated nuclear fuel, for estimating concentrations from spectral data, for measuring neutron fields of a nuclear reactor, for estimating crystal lattice parameters from X-ray diffraction patterns, for interpreting data of X-ray fluorescence analysis, for estimating complex formation constants, and for analyzing results of radiometric measurements. The problem of estimating the target parameters can be incorrect at certain properties of the system under study. The authors showed the possibility of regularization by adding a fictitious set of data open-quotes obtainedclose quotes from the orthogonal design. To estimate only a part of the parameters under consideration, the authors used incomplete rank models. In this case, it is necessary to take into account the possibility of confounding estimates. An algorithm for evaluating the degree of confounding is presented which is realized using standard software or regression analysis
Gaussian Process Regression Model in Spatial Logistic Regression
Sofro, A.; Oktaviarina, A.
2018-01-01
Spatial analysis has developed very quickly in the last decade. One of the favorite approaches is based on the neighbourhood of the region. Unfortunately, there are some limitations such as difficulty in prediction. Therefore, we offer Gaussian process regression (GPR) to accommodate the issue. In this paper, we will focus on spatial modeling with GPR for binomial data with logit link function. The performance of the model will be investigated. We will discuss the inference of how to estimate the parameters and hyper-parameters and to predict as well. Furthermore, simulation studies will be explained in the last section.
ABOUT PSYCHOLOGICAL VARIABLES IN APPLICATION SCORING MODELS
Directory of Open Access Journals (Sweden)
Pablo Rogers
2015-01-01
Full Text Available The purpose of this study is to investigate the contribution of psychological variables and scales suggested by Economic Psychology in predicting individuals’ default. Therefore, a sample of 555 individuals completed a self-completion questionnaire, which was composed of psychological variables and scales. By adopting the methodology of the logistic regression, the following psychological and behavioral characteristics were found associated with the group of individuals in default: a negative dimensions related to money (suffering, inequality and conflict; b high scores on the self-efficacy scale, probably indicating a greater degree of optimism and over-confidence; c buyers classified as compulsive; d individuals who consider it necessary to give gifts to children and friends on special dates, even though many people consider this a luxury; e problems of self-control identified by individuals who drink an average of more than four glasses of alcoholic beverage a day.
THE REGRESSION MODEL OF IRAN LIBRARIES ORGANIZATIONAL CLIMATE.
Jahani, Mohammad Ali; Yaminfirooz, Mousa; Siamian, Hasan
2015-10-01
The purpose of this study was to drawing a regression model of organizational climate of central libraries of Iran's universities. This study is an applied research. The statistical population of this study consisted of 96 employees of the central libraries of Iran's public universities selected among the 117 universities affiliated to the Ministry of Health by Stratified Sampling method (510 people). Climate Qual localized questionnaire was used as research tools. For predicting the organizational climate pattern of the libraries is used from the multivariate linear regression and track diagram. of the 9 variables affecting organizational climate, 5 variables of innovation, teamwork, customer service, psychological safety and deep diversity play a major role in prediction of the organizational climate of Iran's libraries. The results also indicate that each of these variables with different coefficient have the power to predict organizational climate but the climate score of psychological safety (0.94) plays a very crucial role in predicting the organizational climate. Track diagram showed that five variables of teamwork, customer service, psychological safety, deep diversity and innovation directly effects on the organizational climate variable that contribution of the team work from this influence is more than any other variables. Of the indicator of the organizational climate of climateQual, the contribution of the team work from this influence is more than any other variables that reinforcement of teamwork in academic libraries can be more effective in improving the organizational climate of this type libraries.
Historiography of Czech psychology
Czech Academy of Sciences Publication Activity Database
Hoskovcová, S.; Hoskovec, J.; Plháková, A.; Šebek, M.; Švancara, J.; Vobořil, Dalibor
2010-01-01
Roč. 13, č. 3 (2010), s. 309-334 ISSN 1093-4510 Institutional research plan: CEZ:AV0Z70250504 Keywords : Czech psychologists * Czechoslovak psychology * ideologic influences on psychology Subject RIV: AN - Psychology Impact factor: 0.500, year: 2010
Teachers and Psychological Reports.
Rogers, George W., Jr.
The importance of the written psychological report is explored, and, in particular, its relationship to teachers' needs and requirements is discussed. Additionally, the characteristics of a "good" psychological report are listed, and teachers are advised to use these criteria in evaluating the psychological reports they are receiving. (Author)
Ruiz, Eleonora Rubio
2011-01-01
The first formal psychology course taught in Mexico was in 1896 at Mexico's National University; today, National Autonomous University of Mexico (UNAM in Spanish). The modern psychology from Europe and the US in the late 19th century were the primary influences of Mexican psychology, as well as psychoanalysis and both clinical and experimental…
Deutsch, Morton
1983-01-01
Political psychology is the study of the bidirectional interaction of political and psychological processes. This academic discipline was founded after the First World War by Harold D. Lasswell. The content of political psychology is discussed and illustrative studies of the field are briefly summarized. (CS)
Sushma, B.; Padmaja, G.
2011-01-01
Psychology forms the basis of every human activity. The scope of psychology is increasingly widening in various economic, political, social, cultural and technological aspects. Though the application of psychology is extending to various aspects of life, it needs to be indigenised to address the dynamic needs in the various socio-economic contexts…
Spontaneous regression of pulmonary bullae
International Nuclear Information System (INIS)
Satoh, H.; Ishikawa, H.; Ohtsuka, M.; Sekizawa, K.
2002-01-01
The natural history of pulmonary bullae is often characterized by gradual, progressive enlargement. Spontaneous regression of bullae is, however, very rare. We report a case in which complete resolution of pulmonary bullae in the left upper lung occurred spontaneously. The management of pulmonary bullae is occasionally made difficult because of gradual progressive enlargement associated with abnormal pulmonary function. Some patients have multiple bulla in both lungs and/or have a history of pulmonary emphysema. Others have a giant bulla without emphysematous change in the lungs. Our present case had treated lung cancer with no evidence of local recurrence. He had no emphysematous change in lung function test and had no complaints, although the high resolution CT scan shows evidence of underlying minimal changes of emphysema. Ortin and Gurney presented three cases of spontaneous reduction in size of bulla. Interestingly, one of them had a marked decrease in the size of a bulla in association with thickening of the wall of the bulla, which was observed in our patient. This case we describe is of interest, not only because of the rarity with which regression of pulmonary bulla has been reported in the literature, but also because of the spontaneous improvements in the radiological picture in the absence of overt infection or tumor. Copyright (2002) Blackwell Science Pty Ltd
Quantum algorithm for linear regression
Wang, Guoming
2017-07-01
We present a quantum algorithm for fitting a linear regression model to a given data set using the least-squares approach. Differently from previous algorithms which yield a quantum state encoding the optimal parameters, our algorithm outputs these numbers in the classical form. So by running it once, one completely determines the fitted model and then can use it to make predictions on new data at little cost. Moreover, our algorithm works in the standard oracle model, and can handle data sets with nonsparse design matrices. It runs in time poly( log2(N ) ,d ,κ ,1 /ɛ ) , where N is the size of the data set, d is the number of adjustable parameters, κ is the condition number of the design matrix, and ɛ is the desired precision in the output. We also show that the polynomial dependence on d and κ is necessary. Thus, our algorithm cannot be significantly improved. Furthermore, we also give a quantum algorithm that estimates the quality of the least-squares fit (without computing its parameters explicitly). This algorithm runs faster than the one for finding this fit, and can be used to check whether the given data set qualifies for linear regression in the first place.
Interpretation of commonly used statistical regression models.
Kasza, Jessica; Wolfe, Rory
2014-01-01
A review of some regression models commonly used in respiratory health applications is provided in this article. Simple linear regression, multiple linear regression, logistic regression and ordinal logistic regression are considered. The focus of this article is on the interpretation of the regression coefficients of each model, which are illustrated through the application of these models to a respiratory health research study. © 2013 The Authors. Respirology © 2013 Asian Pacific Society of Respirology.
Prediction, Regression and Critical Realism
DEFF Research Database (Denmark)
Næss, Petter
2004-01-01
This paper considers the possibility of prediction in land use planning, and the use of statistical research methods in analyses of relationships between urban form and travel behaviour. Influential writers within the tradition of critical realism reject the possibility of predicting social...... phenomena. This position is fundamentally problematic to public planning. Without at least some ability to predict the likely consequences of different proposals, the justification for public sector intervention into market mechanisms will be frail. Statistical methods like regression analyses are commonly...... seen as necessary in order to identify aggregate level effects of policy measures, but are questioned by many advocates of critical realist ontology. Using research into the relationship between urban structure and travel as an example, the paper discusses relevant research methods and the kinds...
On Weighted Support Vector Regression
DEFF Research Database (Denmark)
Han, Xixuan; Clemmensen, Line Katrine Harder
2014-01-01
We propose a new type of weighted support vector regression (SVR), motivated by modeling local dependencies in time and space in prediction of house prices. The classic weights of the weighted SVR are added to the slack variables in the objective function (OF‐weights). This procedure directly...... shrinks the coefficient of each observation in the estimated functions; thus, it is widely used for minimizing influence of outliers. We propose to additionally add weights to the slack variables in the constraints (CF‐weights) and call the combination of weights the doubly weighted SVR. We illustrate...... the differences and similarities of the two types of weights by demonstrating the connection between the Least Absolute Shrinkage and Selection Operator (LASSO) and the SVR. We show that an SVR problem can be transformed to a LASSO problem plus a linear constraint and a box constraint. We demonstrate...
Assessment of psychological pain in suicidal veterans.
Reist, Christopher; Mee, Steven; Fujimoto, Ken; Rajani, Vivek; Bunney, William E; Bunney, Blynn G
2017-01-01
Psychological pain is a relatively understudied and potentially important construct in the evaluation of suicidal risk. Psychological pain also referred to as 'mental pain' or 'psychache' can be defined as an adverse emotional reaction to a severe trauma (e.g., the loss of a child) or may be associated with an illness such as depression. When psychological pain levels reach intolerable levels, some individuals may view suicide as the only and final means of escape. To better understand psychological pain, we previously developed and validated a brief self-rating 10-item scale, Mee-Bunney Psychological Pain Assessment Scale [MBP] in depressed patients and non-psychiatric controls. Our results showed a significant increase in psychological pain in the depressed patients compared to controls. We also observed a significant linear correlation between psychological pain and suicidality in the depressed patient cohort. The current investigation extends our study of psychological pain to a diagnostically heterogeneous population of 57 US Veterans enrolled in a suicide prevention program. In addition to the MBP, we administered the Columbia Suicide Severity Rating Scale (C-SSRS), Beck Depression Inventory (BDI-II), Beck Hopelessness Scale (BHS), and the Barratt Impulsiveness Scale (BIS-11). Suicidal patients scoring above a predetermined threshold for high psychological pain also had significantly elevated scores on all the other assessments. Among all of the evaluations, psychological pain accounted for the most shared variance for suicidality (C-SSRS). Stepwise regression analyses showed that impulsiveness (BIS) and psychological pain (MBP) contributed more to suicidality than any of the other combined assessments. We followed patients for 15 months and identified a subgroup (24/57) with serious suicide events. Within this subgroup, 29% (7/24) had a serious suicidal event (determined by the lethality subscale of the C-SSRS), including one completed suicide. Our results
Barriers to health-care and psychological distress among mothers living with HIV in Quebec (Canada).
Blais, Martin; Fernet, Mylène; Proulx-Boucher, Karène; Lebouché, Bertrand; Rodrigue, Carl; Lapointe, Normand; Otis, Joanne; Samson, Johanne
2015-01-01
Health-care providers play a major role in providing good quality care and in preventing psychological distress among mothers living with HIV (MLHIV). The objectives of this study are to explore the impact of health-care services and satisfaction with care providers on psychological distress in MLHIV. One hundred MLHIV were recruited from community and clinical settings in the province of Quebec (Canada). Prevalence estimation of clinical psychological distress and univariate and multivariable logistic regression models were performed to predict clinical psychological distress. Forty-five percent of the participants reported clinical psychological distress. In the multivariable regression, the following variables were significantly associated with psychological distress while controlling for sociodemographic variables: resilience, quality of communication with the care providers, resources, and HIV disclosure concerns. The multivariate results support the key role of personal, structural, and medical resources in understanding psychological distress among MLHIV. Interventions that can support the psychological health of MLHIV are discussed.
Psychological distress and in vitro fertilization outcome.
Pasch, Lauri A; Gregorich, Steven E; Katz, Patricia K; Millstein, Susan G; Nachtigall, Robert D; Bleil, Maria E; Adler, Nancy E
2012-08-01
To examine whether psychological distress predicts IVF treatment outcome as well as whether IVF treatment outcome predicts subsequent psychological distress. Prospective cohort study over an 18-month period. Five community and academic fertility practices. Two hundred two women who initiated their first IVF cycle. Women completed interviews and questionnaires at baseline and at 4, 10, and 18 months' follow-up. IVF cycle outcome and psychological distress. In a binary logistic model including covariates (woman's age, ethnicity, income, education, parity, duration of infertility, and time interval), pretreatment depression and anxiety were not significant predictors of the outcome of the first IVF cycle. In linear regression models including covariates (woman's age, income, education, parity, duration of infertility, assessment point, time since last treatment cycle, and pre-IVF depression or anxiety), experiencing failed IVF was associated with higher post-IVF depression and anxiety. IVF failure predicts subsequent psychological distress, but pre-IVF psychological distress does not predict IVF failure. Instead of focusing efforts on psychological interventions specifically aimed at improving the chance of pregnancy, these findings suggest that attention be paid to helping patients prepare for and cope with treatment and treatment failure. Copyright © 2012 American Society for Reproductive Medicine. Published by Elsevier Inc. All rights reserved.
Credit Scoring Problem Based on Regression Analysis
Khassawneh, Bashar Suhil Jad Allah
2014-01-01
ABSTRACT: This thesis provides an explanatory introduction to the regression models of data mining and contains basic definitions of key terms in the linear, multiple and logistic regression models. Meanwhile, the aim of this study is to illustrate fitting models for the credit scoring problem using simple linear, multiple linear and logistic regression models and also to analyze the found model functions by statistical tools. Keywords: Data mining, linear regression, logistic regression....
An introduction to using Bayesian linear regression with clinical data.
Baldwin, Scott A; Larson, Michael J
2017-11-01
Statistical training psychology focuses on frequentist methods. Bayesian methods are an alternative to standard frequentist methods. This article provides researchers with an introduction to fundamental ideas in Bayesian modeling. We use data from an electroencephalogram (EEG) and anxiety study to illustrate Bayesian models. Specifically, the models examine the relationship between error-related negativity (ERN), a particular event-related potential, and trait anxiety. Methodological topics covered include: how to set up a regression model in a Bayesian framework, specifying priors, examining convergence of the model, visualizing and interpreting posterior distributions, interval estimates, expected and predicted values, and model comparison tools. We also discuss situations where Bayesian methods can outperform frequentist methods as well has how to specify more complicated regression models. Finally, we conclude with recommendations about reporting guidelines for those using Bayesian methods in their own research. We provide data and R code for replicating our analyses. Copyright © 2017 Elsevier Ltd. All rights reserved.
Buyukyilmaz, Ozan; Cakmak, Ahmet F.
2013-01-01
This study aims to investigate the assumed direct and indirect relationships between psychological contract breach and turnover intention through psychological contract violation and perceived organizational support. Data for the sample was collected from 570 academicians from a variety of universities in Turkey. Hierarchical regression analyses were conducted to test the hypotheses. The results show that psychological contract breach was positively related to turnover intention and psycholog...
Regularized Label Relaxation Linear Regression.
Fang, Xiaozhao; Xu, Yong; Li, Xuelong; Lai, Zhihui; Wong, Wai Keung; Fang, Bingwu
2018-04-01
Linear regression (LR) and some of its variants have been widely used for classification problems. Most of these methods assume that during the learning phase, the training samples can be exactly transformed into a strict binary label matrix, which has too little freedom to fit the labels adequately. To address this problem, in this paper, we propose a novel regularized label relaxation LR method, which has the following notable characteristics. First, the proposed method relaxes the strict binary label matrix into a slack variable matrix by introducing a nonnegative label relaxation matrix into LR, which provides more freedom to fit the labels and simultaneously enlarges the margins between different classes as much as possible. Second, the proposed method constructs the class compactness graph based on manifold learning and uses it as the regularization item to avoid the problem of overfitting. The class compactness graph is used to ensure that the samples sharing the same labels can be kept close after they are transformed. Two different algorithms, which are, respectively, based on -norm and -norm loss functions are devised. These two algorithms have compact closed-form solutions in each iteration so that they are easily implemented. Extensive experiments show that these two algorithms outperform the state-of-the-art algorithms in terms of the classification accuracy and running time.
Ethnographic Fieldwork in psychology
DEFF Research Database (Denmark)
Tanggaard, Lene
2014-01-01
It is argued in the present article that ethnographic fieldwork can serve useful methodological ends within psychology and open the discipline to the cultural landscape of psychological phenomena in everyday life in social practices. Furthermore, a positive case is made for the soundness...... of ethnographic fieldwork. That is, rather than disputing the claim that qualitative methods can serve scientific ends, it is argued that ethnographic fieldwork is suitable for studying the constitution of psychological phenomena in social practices across time....
Psychology and criminal justice
Adler, Joanna R.
2013-01-01
This chapter is designed to give the reader a flavour of a few areas in which psychology has been applied to criminal justice. It begins by providing some historical context and showing the development of some applications of psychology to criminal justice. The chapter is broadly split into 3 sections: Pre Trial; Trial; and Post Trial. In most of this chapter, the areas considered assess how psychology has had an influence on the law and how psychologists work within criminal justice settings...
Strategic Psychological Operations management
Sokoloski, Joseph A.
2005-01-01
United States Military Psychological Operations are engaged in a type of mass marketing of ideas. To accomplish this The United States Army Civil Affairs and Psychological Operations Command (USACAPOC) employs active and reserve PSYOP units to conduct PSYOP campaigns. However the methodology used to manage these campaigns often hinders the effective employment of timely and effective Psychological Operations. PSYOP has a difficult job to accomplish but PSYOP does not have the proper managemen...
Center for Deployment Psychology
Federal Laboratory Consortium — The Center for Deployment Psychology was developed to promote the education of psychologists and other behavioral health specialists about issues pertaining to the...
Imada, Hiroshi; Tanaka-Matsumi, Junko
2016-06-01
The purpose of this article is to provide information about Japan and its psychology in advance of the 31st International Congress of Psychology (ICP), to be held in Yokohama, Japan, in 2016. The article begins with the introduction of the Japanese Psychological Association (JPA), the hosting organization of the ICP 2016, and the Japanese Union of Psychological Associations consisting of 51 associations/societies, of which the JPA is a member. This is followed by a brief description of a history of psychology of Japan, with emphasis on the variation in our approach to psychology in three different periods, that is, the pre- and post-Pacific War periods, and the post-1960 period. Next, the international contributions of Japanese psychology/psychologists are discussed from the point of view of their visibility. Education and training in psychology in Japanese universities is discussed with a final positive remark about the long-awaited enactment of the Accredited Psychologist Law in September, 2015. © 2016 International Union of Psychological Science.
Nonlinear dynamics in psychology
Directory of Open Access Journals (Sweden)
Stephen J. Guastello
2001-01-01
Full Text Available This article provides a survey of the applications of nonlinear dynamical systems theory to substantive problems encountered in the full scope of psychological science. Applications are organized into three topical areas – cognitive science, social and organizational psychology, and personality and clinical psychology. Both theoretical and empirical studies are considered with an emphasis on works that capture the broadest scope of issues that are of substantive interest to psychological theory. A budding literature on the implications of NDS principles in professional practice is reported also.
Principal component regression analysis with SPSS.
Liu, R X; Kuang, J; Gong, Q; Hou, X L
2003-06-01
The paper introduces all indices of multicollinearity diagnoses, the basic principle of principal component regression and determination of 'best' equation method. The paper uses an example to describe how to do principal component regression analysis with SPSS 10.0: including all calculating processes of the principal component regression and all operations of linear regression, factor analysis, descriptives, compute variable and bivariate correlations procedures in SPSS 10.0. The principal component regression analysis can be used to overcome disturbance of the multicollinearity. The simplified, speeded up and accurate statistical effect is reached through the principal component regression analysis with SPSS.
Fukui, Sakiko; Ozawa, Harumi
2003-07-01
The objectives of this study were to examine the degree of psychological distress during the first 6 months after diagnosis of gastric cancer and investigate the relation to psychological support from public health nurses and family members. One hundred and five patients with stomach, colorectal, or esophagus cancer were mailed a questionnaire. They were asked questions concerning the level of shock on the day of diagnosis, at 1-week after the diagnosis, and at 6 months post diagnosis. In addition, their physical and psychological status was assessed at the 6-month time point. They were also asked about perceived psychological support from public health nurses and family members. The relation between psychological distress and such psychological support was then assessed using multiple regression analyses. The levels of shock on the day of diagnosis and after 1-week were both significantly related to the psychological support from public health nurses. Physical and psychological status at 6 months post diagnosis was significantly related to the level of psychological support from the patient's family members. The study revealed that psychological support from public health nurses improves the level of patient psychological distress during the first 1 week after the cancer diagnosis. Psychological support from family members facilitates the physical and psychological adjustment at 6 months post diagnosis. The results indicate that psychological support is important just after cancer diagnosis and for longer term adjustment, pointing to a major role of health care professionals alleviating problems associated with cancer diagnosis.
Alchemical crossings in Psychology
Directory of Open Access Journals (Sweden)
Helton Marculino de Souza
2014-12-01
Full Text Available The objective of this article is to discuss the contributions of Alchemy to the field of Psychology, especially for Analytical Psychology as a proposal of an Alchemical Psychology, whose representatives highlighted here are Carl Gustav Jung and James Hillman. It is understood that the knowledge of Alchemy have been applied in various areas such as metallurgy, chemistry, philosophy, and it has a possible application in the field of Psychology. In this sense, it is observed that if to Jung the concepts of Alchemy interlace connections with the knowledge proposed by Analytical Psychology, on the other hand Hillman adopts this knowledge to develop a strategy for use in the field of psychotherapy, proposing to think alchemically. Thus, for this second author in the exercise of Psychology, the meetings with the patient go beyond the application of theories, constituting as a “do-soul” in the office. This is, more than translating symbols, it is proposed to “stay with the image”, with an attention from both the patient and the psychologist for that the words expressed in this dialogue does not become “wordthings” or be reduced to a unique meaning that tends to discard the image. It is hoped, through this work, to promote knowledge of the professionals about the Analytical Psychology and Alchemy Psychology in their connections with Alchemy and its reverberations in the field of psychotherapy in these approaches.
Transpersonal Psychology in Education.
Roberts, Thomas Bradford; Clark, Frances Vaughan
The introduction to this booklet states that transpersonal psychology focuses attention on the human capacity for self-transcendence as well as self-realization, and is concerned with the optimum development of consciousness. This booklet attempts to illustrate the value of this psychology in education, not as a complete substitute for traditional…
DEFF Research Database (Denmark)
Dieckmann, Peter; Krage, Ralf
2013-01-01
Psychology is relevant for improving the use of simulation in anesthesiology, as it allows us to describe, explain and optimize the interactions of learners and instructors as well as the design of simulation scenarios and debriefings. Much psychological expertise is not used for simulation...
Editorial overview: Evolutionary psychology
Gangestad, S.W.; Tybur, J.M.
2016-01-01
Functional approaches in psychology - which ask what behavior is good for - are almost as old as scientific psychology itself. Yet sophisticated, generative functional theories were not possible until developments in evolutionary biology in the mid-20th century. Arising in the last three decades,
Foreman, Nigel
2009-01-01
The benefits of using virtual environments (VEs) in psychology arise from the fact that movements in virtual space, and accompanying perceptual changes, are treated by the brain in much the same way as those in equivalent real space. The research benefits of using VEs, in areas of psychology such as spatial learning and cognition, include…
Environmental Psychology: An Introduction
Steg, L.; Berg, van den A.E.; Groot, de J.I.M.
2012-01-01
Environmental Psychology: An Introduction offers a research-based introduction to the psychological relationship between humans and their built and natural environments and discusses how sustainable environments can be created to the benefit of both people and nature •Explores the environment's
Psychological effects of nuclear warfare
International Nuclear Information System (INIS)
Mickley, G.A.
1987-01-01
This report is divided into five parts. (1) Discussion of the psychological milieu before a nuclear confrontation. (2) Acute psychological reactions to nuclear warfare (some of which may reflect, in part, direct radiogenic alteration of nervous system functions). (3) Chronic psychological effects of a nuclear confrontation. (4) Issues concerning treatment of these psychological changes. (5) Prevention of adverse psychological reactions to nuclear warfare
Unbalanced Regressions and the Predictive Equation
DEFF Research Database (Denmark)
Osterrieder, Daniela; Ventosa-Santaulària, Daniel; Vera-Valdés, J. Eduardo
Predictive return regressions with persistent regressors are typically plagued by (asymptotically) biased/inconsistent estimates of the slope, non-standard or potentially even spurious statistical inference, and regression unbalancedness. We alleviate the problem of unbalancedness in the theoreti......Predictive return regressions with persistent regressors are typically plagued by (asymptotically) biased/inconsistent estimates of the slope, non-standard or potentially even spurious statistical inference, and regression unbalancedness. We alleviate the problem of unbalancedness...
Semiparametric regression during 2003–2007
Ruppert, David; Wand, M.P.; Carroll, Raymond J.
2009-01-01
Semiparametric regression is a fusion between parametric regression and nonparametric regression that integrates low-rank penalized splines, mixed model and hierarchical Bayesian methodology – thus allowing more streamlined handling of longitudinal and spatial correlation. We review progress in the field over the five-year period between 2003 and 2007. We find semiparametric regression to be a vibrant field with substantial involvement and activity, continual enhancement and widespread application.
Gaussian process regression analysis for functional data
Shi, Jian Qing
2011-01-01
Gaussian Process Regression Analysis for Functional Data presents nonparametric statistical methods for functional regression analysis, specifically the methods based on a Gaussian process prior in a functional space. The authors focus on problems involving functional response variables and mixed covariates of functional and scalar variables.Covering the basics of Gaussian process regression, the first several chapters discuss functional data analysis, theoretical aspects based on the asymptotic properties of Gaussian process regression models, and new methodological developments for high dime
Theorising context in psychology
DEFF Research Database (Denmark)
Glaveanu, Vlad Petre
2014-01-01
This article aims to address the issue of what context is and how it can be incorporated in psychological theory by using the case study of creativity research. It starts from a basic definition of context as the spatiotemporal continuum that, together with psychological phenomena, constitutes...... a totality and should be considered a single, integrated whole. As such, contexts are neither subjective, existing only in perception, nor are they a set of variables external to the person, but participate directly in the processes under study in psychology. We can therefore distinguish between “flat......” theorising, one-dimensional and overconcerned with intra-psychological factors, and “3-D” models trying to articulate the psychological, the spatial (sociomaterial), and the temporal. These categories are illustrated by different theoretical approaches to creativity. It is argued here that a cultural...
Regression Analysis by Example. 5th Edition
Chatterjee, Samprit; Hadi, Ali S.
2012-01-01
Regression analysis is a conceptually simple method for investigating relationships among variables. Carrying out a successful application of regression analysis, however, requires a balance of theoretical results, empirical rules, and subjective judgment. "Regression Analysis by Example, Fifth Edition" has been expanded and thoroughly…
Standards for Standardized Logistic Regression Coefficients
Menard, Scott
2011-01-01
Standardized coefficients in logistic regression analysis have the same utility as standardized coefficients in linear regression analysis. Although there has been no consensus on the best way to construct standardized logistic regression coefficients, there is now sufficient evidence to suggest a single best approach to the construction of a…
A Seemingly Unrelated Poisson Regression Model
King, Gary
1989-01-01
This article introduces a new estimator for the analysis of two contemporaneously correlated endogenous event count variables. This seemingly unrelated Poisson regression model (SUPREME) estimator combines the efficiencies created by single equation Poisson regression model estimators and insights from "seemingly unrelated" linear regression models.
Impact of job characteristics on psychological health of Chinese single working women.
Yeung, D Y; Tang, C S
2001-01-01
This study aims at investigating the impact of individual and contextual job characteristics of control, psychological and physical demand, and security on psychological distress of 193 Chinese single working women in Hong Kong. The mediating role of job satisfaction in the job characteristics-distress relation is also assessed. Multiple regression analysis results show that job satisfaction mediates the effects of job control and security in predicting psychological distress; whereas psychological job demand has an independent effect on mental distress after considering the effect of job satisfaction. This main effect model indicates that psychological distress is best predicted by small company size, high psychological job demand, and low job satisfaction. Results from a separate regression analysis fails to support the overall combined effect of job demand-control on psychological distress. However, a significant physical job demand-control interaction effect on mental distress is noted, which reduces slightly after controlling the effect of job satisfaction.
Role of alexithymia in predicting psychological symptoms in patients with breast and prostate cancer
Directory of Open Access Journals (Sweden)
M. Mowlaie
2015-12-01
Full Text Available Background: Identifying the psychological factors involved in psychological problems of patients with cancer is very important. Objective: The aim of this study was to determine the role of alexithymia in predicting psychological symptoms in patients with cancer. Methods: This cross sectional study was conducted in 102 patients with cancer selected by convenience sampling method in Ardabil during 2014. The measurement tools were the Persian version of Toronto Alexithymia Scale (TAS-20 and the Hopkins Symptom Checklist-25 (SCL-25. Data were analyzed using Pearson's correlation coefficient and regression analysis. Findings: There was significantly positive correlation between alexithymia and all psychological symptoms. In regression analysis, alexithymia was predictor of all psychological symptoms. Conclusion: With regards to the results, it seems that alexithymia is able to predict psychological symptoms. Therefore, paying more attention to psychological determinants in patients with cancer and providing appropriate treatment strategies can be effective to alleviate the mental suffering.
Collisson, Brian; Rusbasan, David
2018-01-01
The question of renaming graduate psychology programs to psychological science is a timely and contentious issue. To better understand why some programs, but not others, are changing names, we surveyed chairpersons (Study 1) and faculty (Study 2) within graduate psychology and psychological science programs. Within psychology programs, a name…
Regression with Sparse Approximations of Data
DEFF Research Database (Denmark)
Noorzad, Pardis; Sturm, Bob L.
2012-01-01
We propose sparse approximation weighted regression (SPARROW), a method for local estimation of the regression function that uses sparse approximation with a dictionary of measurements. SPARROW estimates the regression function at a point with a linear combination of a few regressands selected...... by a sparse approximation of the point in terms of the regressors. We show SPARROW can be considered a variant of \\(k\\)-nearest neighbors regression (\\(k\\)-NNR), and more generally, local polynomial kernel regression. Unlike \\(k\\)-NNR, however, SPARROW can adapt the number of regressors to use based...
Spontaneous regression of a congenital melanocytic nevus
Directory of Open Access Journals (Sweden)
Amiya Kumar Nath
2011-01-01
Full Text Available Congenital melanocytic nevus (CMN may rarely regress which may also be associated with a halo or vitiligo. We describe a 10-year-old girl who presented with CMN on the left leg since birth, which recently started to regress spontaneously with associated depigmentation in the lesion and at a distant site. Dermoscopy performed at different sites of the regressing lesion demonstrated loss of epidermal pigments first followed by loss of dermal pigments. Histopathology and Masson-Fontana stain demonstrated lymphocytic infiltration and loss of pigment production in the regressing area. Immunohistochemistry staining (S100 and HMB-45, however, showed that nevus cells were present in the regressing areas.
Political Psychology of European Integration
Manners, Ian James
2014-01-01
The chapter engages in a survey of what political psychology and European integration have to say to each other in the understanding of the European Union. The chapter draws on five strands of political psychology as part of this engagement – conventional psychology, social psychology, social construction, psychoanalysis, and critical political psychology. Within each strand a number of examples of scholarship at the interface of political psychology and European integration are examined. The...
ÁNGELA MARÍA ROBLEDO-GÓMEZ
2008-01-01
The inauguration text of the V Congress of Psychology at the Javeriana University, “Thinking the Present: Psychology, Criticism, and Globalization Times”, is presented. This event took place in April, 2008, in Bogotá, Colombia. These thoughts invite to see Psychology in the present, and to ask oneself about the forms of life that we are built of and that go through subjectivities in today’s World, within the framework of the Economical, Cultural, Social and Political conditions of our countri...
Psychological response of accident
International Nuclear Information System (INIS)
Novikov, V.S.; Nikiforov, A.M.; Cheprasov, V.Yu.
1996-01-01
The psychological status of rescuers of consequences of Chernobyl[s accidents, having planned stationary examination and treatment of common somatic diseases, has been examined. THe age of men represented the study group was 35-54 years old. The results of medical-psychological examination showed the development in rescuers of common dysadaptation and stress state, characterized by depressive-hypochondriac state with high anxiety. The course of psychotherapeutic activities made possible to improve essentionally the psychological status of the patients. 12 refs., 3 figs., 1 tab
Directory of Open Access Journals (Sweden)
Andy Lane
2008-09-01
Full Text Available DESCRIPTION The book introduces the undergraduate psychology student to both academic and professional aspects of Sport and Exercise Psychology. It uses up to date research evidence, established theory and a variety of activities that help the student consider and understand academic and professional aspects of this particular academic discipline. PURPOSE The book aims to provide the undergraduate psychology student with a structured introduction to the subject area and an insight into the theoretical evidence and practical suggestions that underpin what a Sport and Exercise psychologist does. The book also aims to support one term or one semester courses in Sport and Exercise Psychology. It is also appropriate for Masters level courses. FEATURES The book begins with a chapter on applied sports psychology to give the reader an insight into the domain of sport psychology, providing an overview of the techniques that could be used. The next three chapters focus on mood, anxiety and self confidence, which influence performance. This leads on to four chapters that focus on managing psychological states. There is also a chapter on leadership which interestingly includes leadership development in coaches and in athletes. Two chapters focus on the effects of exercise on psychological states, providing a balance between the benefits and potential drawbacks. The final chapter examines the issue of placebo effects. Throughout each chapter there are useful activities than can help the reader's understanding of practical and theoretical issues. These also have practical implications for the work of a Sport and Exercise Psychologist. Key ethical issues are raised on a regular basis throughout the text. The book offers an excellent blend of theory and practical suggestions which are critically discussed thus giving valuable insights regarding the research process and applied practice which is often lacking in the more well known standard textbooks for Sport
Unconsciously against it. Psychological aspects of the nuclear controversy
International Nuclear Information System (INIS)
Wuenschmann, A.
1980-06-01
The book deals with the psychological aspects of the nuclear controversy. An attempt is made to describe, in psychological terms, arrange, explain and, in this sense, 'comprehend' the phenomenon of the nuclear controversy in the light of the following facts: - individual and archetypal spectra of associations arising in the minds of many people in combination with the term 'nuclear power plant', the existence of different psychological types; the suggestion and psychological regression in the group. Especially the nuclear opponents, more or less successfully, have used the individual and archetypal association spectrum as an instrument to further their own ends and have thus contributed to the erection of psychological barriers against nuclear power in the minds of many people. (orig./RW) [de
Goals and Psychological Accounting
DEFF Research Database (Denmark)
Koch, Alexander Karl; Nafziger, Julia
We model how people formulate and evaluate goals to overcome self-control problems. People often attempt to regulate their behavior by evaluating goal-related outcomes separately (in narrow psychological accounts) rather than jointly (in a broad account). To explain this evidence, our theory...... of endogenous narrow or broad psychological accounts combines insights from the literatures on goals and mental accounting with models of expectations-based reference-dependent preferences. By formulating goals the individual creates expectations that induce reference points for task outcomes. These goal......-induced reference points make substandard performance psychologically painful and motivate the individual to stick to his goals. How strong the commitment to goals is depends on the type of psychological account. We provide conditions when it is optimal to evaluate goals in narrow accounts. The key intuition...
Discursive psychology and feminism.
Weatherall, Ann
2012-09-01
This appraisal highlights the productive engagement between feminism and discursive psychology (DP). It discusses some of the confluence and tensions between DP and feminism. The two share critical perspectives on science and psychology, a concern with prejudice, and have ideas in common about the constructed nature of social categories, such as gender. One difficulty arises from the relativism associated with the post-structural theoretical underpinnings of DP, which can be understood as politically paralyzing. Another problem comes from an endorsement of a conversation analytic mentality, where identity categories such as gender can only be legitimately used in an analysis when participants' orient to their relevance. The high-profile debates and literature in DP shows it has made a notable contribution to social psychology and its influence can also be found in other areas. A particular influence of DP highlighted in the present appraisal is on gender and language research. ©2011 The British Psychological Society.
Poluektova, Olga V.; Efremova, Maria V.; Breugelmans, S.M.
2015-01-01
This paper presents a study on the association between dimensions of poverty (income, subjective socioeconomic status, deprivation, and socioeconomic status in childhood) and individual psychological characteristics. In this study, our goal was to determine: 1) the differences in individual
Globalization, culture and psychology.
Melluish, Steve
2014-10-01
This article outlines the cultural and psychological effects of globalization. It looks at the impact of globalization on identity; ideas of privacy and intimacy; the way we understand and perceive psychological distress; and the development of the profession of psychology around the world. The article takes a critical perspective on globalization, seeing it as aligned with the spread of neoliberal capitalism, a tendency towards cultural homogenization, the imposition of dominant 'global north' ideas and the resultant growing inequalities in health and well-being. However, it also argues that the increased interconnectedness created by globalization allows for greater acknowledgement of our common humanity and for collective efforts to be developed to tackle what are increasingly global problems. This requires the development of more nuanced understandings of cultural differences and of indigenous psychologies.
Directory of Open Access Journals (Sweden)
Blanca Giorgiana GRAMA
2015-04-01
Full Text Available The psychological contract became known as a research paradigm within corporate research, providing a broad framework which explains the employee-company relations. Despite all this, there are still many debates on the concept and a series of criticism were expressed that led to the necessity of some more rigorous theoretical and empirical analysis. The psychological contract refers to the unwritten, implicit expectations that employees have from the company and vice versa; it is that which defines the things the employee expects from the employer. Consequently, each of the parties involved in the contract may have different perceptions on these commitments and obligations. Thus the psychological contract may be regarded as an exchange relation between the employer and the employee. Breaking the psychological contract affects the performance, the morale, and the motivation of the staff in a negative manner. The information presented in this paper is intended to contribute to the theoretical and methodological development of the concept.
"Jeopardy" in Abnormal Psychology.
Keutzer, Carolin S.
1993-01-01
Describes the use of the board game, Jeopardy, in a college level abnormal psychology course. Finds increased student interaction and improved application of information. Reports generally favorable student evaluation of the technique. (CFR)
Internet research in psychology.
Gosling, Samuel D; Mason, Winter
2015-01-03
Today the Internet plays a role in the lives of nearly 40% of the world's population, and it is becoming increasingly entwined in daily life. This growing presence is transforming psychological science in terms of the topics studied and the methods used. We provide an overview of the literature, considering three broad domains of research: translational (implementing traditional methods online; e.g., surveys), phenomenological (topics spawned or mediated by the Internet; e.g., cyberbullying), and novel (new ways to study existing topics; e.g., rumors). We discuss issues (e.g., sampling, ethics) that arise when doing research online and point to emerging opportunities (e.g., smartphone sensing). Psychological research on the Internet comes with new challenges, but the opportunities far outweigh the costs. By integrating the Internet, psychological research has the ability to reach large, diverse samples and collect data on actual behaviors, which will ultimately increase the impact of psychological research on society.
Diet and psychological health.
Miller, M
1996-09-01
This article reviews research that suggests a relationship between diet and psychological symptoms. Mind-body dualism (as it relates to clinical practice) and the limited role of nutrition in mainstream biomedical training and treatment are discussed as background issues. Two areas of inquiry that have generated relevant research findings in this area are reviewed: (1) orthomolecular theory and vitamin deficiencies, and (2) clinical ecology/environmental medicine theory and the impact of "food allergies." Although clinical case reports and promising research findings have been reported, the impact of diet on psychological health is neither widely accepted nor integrated into mental health treatment methods. Ongoing research findings in brain biochemistry and psychoneuroimmunology point to communication pathways that can provide a clearer understanding of the links between nutritional intake, central nervous system and immune function, and psychological health status. These findings may lead to greater acceptance of dietary treatment approaches among health practitioners addressing psychological disorders.
Democracy and Cultural Psychology
DEFF Research Database (Denmark)
Jensen, Steffen Moltrup Ernø
2016-01-01
This paper discusses a theme touched upon in Robert Innis’s article on cultural psych- ology and philosophy, namely how we, within cultural psychology, seem to be undecided about how best to provide value on a societal level. It is discussed how psychology has provided us with several valuable...... tools for examining and understanding our own exist- ence, despite the fact that it is also a field that has seemed to be in one crisis after another since its inception. It is argued that cultural psychology is an intellectual tech- nology that allows us to peek under the hood of society, which...... is of utmost importance in today’s society, where democratic ideals are under severe pressure. Corporations, industries, and privileged individuals exercise increased control over political processes, having created obscure systems by which they operate. It is concluded that cultural psychology needs to find...
Operational Psychology Perspective
Holland, Al
2009-01-01
This slide presentation reviews the history of long duration spaceflight, and the changes in the International Space Station crew and the effect that this has had on the psychology of astronaut selection and training.
Psychological constraints on egalitarianism
DEFF Research Database (Denmark)
Kasperbauer, Tyler Joshua
2015-01-01
processes motivating people to resist various aspects of egalitarianism. I argue for two theses, one normative and one descriptive. The normative thesis holds that egalitarians must take psychological constraints into account when constructing egalitarian ideals. I draw from non-ideal theories in political...... philosophy, which aim to construct moral goals with current social and political constraints in mind, to argue that human psychology must be part of a non-ideal theory of egalitarianism. The descriptive thesis holds that the most fundamental psychological challenge to egalitarian ideals comes from what......Debates over egalitarianism for the most part are not concerned with constraints on achieving an egalitarian society, beyond discussions of the deficiencies of egalitarian theory itself. This paper looks beyond objections to egalitarianism as such and investigates the relevant psychological...
Applied regression analysis a research tool
Pantula, Sastry; Dickey, David
1998-01-01
Least squares estimation, when used appropriately, is a powerful research tool. A deeper understanding of the regression concepts is essential for achieving optimal benefits from a least squares analysis. This book builds on the fundamentals of statistical methods and provides appropriate concepts that will allow a scientist to use least squares as an effective research tool. Applied Regression Analysis is aimed at the scientist who wishes to gain a working knowledge of regression analysis. The basic purpose of this book is to develop an understanding of least squares and related statistical methods without becoming excessively mathematical. It is the outgrowth of more than 30 years of consulting experience with scientists and many years of teaching an applied regression course to graduate students. Applied Regression Analysis serves as an excellent text for a service course on regression for non-statisticians and as a reference for researchers. It also provides a bridge between a two-semester introduction to...
Andreou, Chrisoula
2010-07-01
This article examines a selection of currently lively debates in the quickly evolving, interdisciplinary field of moral psychology. Topics discussed include the possibility of amoralism, the nature of rationality, the (ir)rationality of emotions and intuitions, the psychology of cooperation and of (rational) commitment, weakness of will, free will, and the assignment of moral responsibility. Copyright © 2010 John Wiley & Sons, Ltd. For further resources related to this article, please visit the WIREs website. Copyright © 2010 John Wiley & Sons, Ltd.
Socioaffective Neuroscience & Psychology (SNP)
Mouras , Harold
2011-01-01
It is an exciting challenge for us to launch a new interdisciplinary journal, Socioaffective Neuroscience & Psychology. We believe the journal will appeal to a wide audience across several scientific specialties. In recent decades, considerable technical and theoretical advances have shed new light on psychological and neural processes. For example, in the area of neuroimaging techniques, it is now possible to explore the role of the brain in a wide variety of behaviours and paradigms (mo...
Psychological therapies for thalassaemia.
Anie, Kofi A; Massaglia, Pia
2014-03-06
Thalassaemia is a group of genetic blood disorders characterised by the absence or reduction in the production of haemoglobin. Severity is variable from less severe anaemia, through thalassaemia intermedia, to profound severe anaemia (thalassaemia major). In thalassaemia major other complications include growth retardation, bone deformation, and enlarged spleen. Blood transfusion is required to treat severe forms of thalassaemia, but this results in excessive accumulation of iron in the body (iron overload), removed mostly by a drug called desferrioxamine through 'chelation therapy'. Non-routine treatments are bone marrow transplantation (which is age restricted), and possibly hydroxyurea, designed to raise foetal haemoglobin level, thus reducing anaemia. In addition, psychological therapies seem appropriate to improving outcome and adherence to medical treatment. To examine the evidence that in people with thalassaemia, psychological treatments improve the ability to cope with the condition, and improve both medical and psychosocial outcomes. We searched the Cochrane Cystic Fibrosis and Genetic Disorders Group Haemoglobinopathies Trials Register which comprises of references identified from comprehensive electronic database searches and handsearches of relevant journals and abstract books of conference proceedings. Searches on the Internet were also performed.Date of the most recent search of the Group's Haemoglobinopathies Trials Register: 11 November 2013. All randomised or quasi-randomised controlled trials comparing the use of psychological intervention to no (psychological) intervention in people with thalassaemia. No trials of psychological therapies have been found in the literature for inclusion in this review. There are currently no results to be reported. As a chronic disease with a considerable role for self-management, psychological support seems appropriate for managing thalassaemia. However, from the information currently available, no conclusions
International School Psychology: Psychology's Worldwide Portal to Children and Youth
Oakland, Thomas D.
2003-01-01
International school psychology is discussed in reference to scholarly and professional development within psychology, the emergence of an international association of school psychology, its efforts to promote school psychology, prevailing characteristics of school psychologists, and additional efforts needed to further enhance its development.…
Regression models of reactor diagnostic signals
International Nuclear Information System (INIS)
Vavrin, J.
1989-01-01
The application is described of an autoregression model as the simplest regression model of diagnostic signals in experimental analysis of diagnostic systems, in in-service monitoring of normal and anomalous conditions and their diagnostics. The method of diagnostics is described using a regression type diagnostic data base and regression spectral diagnostics. The diagnostics is described of neutron noise signals from anomalous modes in the experimental fuel assembly of a reactor. (author)
Bulcock, J. W.
The problem of model estimation when the data are collinear was examined. Though the ridge regression (RR) outperforms ordinary least squares (OLS) regression in the presence of acute multicollinearity, it is not a problem free technique for reducing the variance of the estimates. It is a stochastic procedure when it should be nonstochastic and it…
Multivariate Regression Analysis and Slaughter Livestock,
AGRICULTURE, *ECONOMICS), (*MEAT, PRODUCTION), MULTIVARIATE ANALYSIS, REGRESSION ANALYSIS , ANIMALS, WEIGHT, COSTS, PREDICTIONS, STABILITY, MATHEMATICAL MODELS, STORAGE, BEEF, PORK, FOOD, STATISTICAL DATA, ACCURACY
[From clinical judgment to linear regression model.
Palacios-Cruz, Lino; Pérez, Marcela; Rivas-Ruiz, Rodolfo; Talavera, Juan O
2013-01-01
When we think about mathematical models, such as linear regression model, we think that these terms are only used by those engaged in research, a notion that is far from the truth. Legendre described the first mathematical model in 1805, and Galton introduced the formal term in 1886. Linear regression is one of the most commonly used regression models in clinical practice. It is useful to predict or show the relationship between two or more variables as long as the dependent variable is quantitative and has normal distribution. Stated in another way, the regression is used to predict a measure based on the knowledge of at least one other variable. Linear regression has as it's first objective to determine the slope or inclination of the regression line: Y = a + bx, where "a" is the intercept or regression constant and it is equivalent to "Y" value when "X" equals 0 and "b" (also called slope) indicates the increase or decrease that occurs when the variable "x" increases or decreases in one unit. In the regression line, "b" is called regression coefficient. The coefficient of determination (R 2 ) indicates the importance of independent variables in the outcome.
Correlates of psychological distress, burnout, and resilience among Chinese female nurses
ZOU, Guiyuan; SHEN, Xiuying; TIAN, Xiaohong; LIU, Chunqin; LI, Guopeng; KONG, Linghua; LI, Ping
2016-01-01
The present survey investigated the association between resilience, burnout and psychological distress among Chinese female nurses. A total of 366 female nurses were enrolled in our study. A series of self-reported questionnaires that dispose of the following constructs: psychological distress, burnout, and resilience were estimated. The hierarchical linear regression models were used to evaluate the mediating effect of resilience on the relationship between burnout and psychological distress. Results of the survey showed 85.5% nurses experienced psychological distress. Resilience was negatively related to psychological distress and burnout whereas burnout was positively associated with psychological distress. Mediation analysis revealed that resilience could partially mediate the relationship between the dimensions of emotional exhaustion, depersonalization, and psychological distress. This study highlights the mediator of resilience between burnout and psychological distress of female nurses. As such, interventions that attend to resilience training may be the focus for future clinical and research endeavors. PMID:27021058
LGBT psychology and feminist psychology: bridging the divide
Clarke, V.; Peel, E.
2005-01-01
In this paper, we outline some of the similarities and differences between lesbian and gay psychology (more recently known as LGBT psychology) and feminist psychology. Both fields developed in response to the oppressive practices of psychology; however, lesbian and gay psychologists have been far more willing to using the theoretical and methodological tools of mainstream psychology than have feminist psychologists. Feminist psychologists have enthusiastically embraced qualitative and critica...
Integrative psychology: the return to the subject of psychology
Kozlov, Vladimir
2009-01-01
The article analyzes the basic paradigms of psychology and put forward the thesis of the expansion of the subject area of psychology in the course of historical development, and describes the main features of integrative psychology. Highlighted in the article the new paradigm of psychology (transpersonal, communicative, integrative), make it possible to trace a vector of development of modern psychology as a multidimensional communicative environment that has intention to make a perusal of ps...
Regression modeling methods, theory, and computation with SAS
Panik, Michael
2009-01-01
Regression Modeling: Methods, Theory, and Computation with SAS provides an introduction to a diverse assortment of regression techniques using SAS to solve a wide variety of regression problems. The author fully documents the SAS programs and thoroughly explains the output produced by the programs.The text presents the popular ordinary least squares (OLS) approach before introducing many alternative regression methods. It covers nonparametric regression, logistic regression (including Poisson regression), Bayesian regression, robust regression, fuzzy regression, random coefficients regression,
Introduction to Psychology. Fourth Edition.
Kalat, James W.
Chapters in this textbook for college students in introductory psychology courses are: (1) What is Psychology?; (2) Scientific Methods in Psychology; (3) Biological Psychology; (4) Sensation and Perception; (5) Altered States; (6) Learning; (7) Memory; (8) Cognition and Language; (9) Intelligence and Its Measurement; (10) Development; (11)…
Introducing Positive Psychology to SLA
MacIntyre, Peter D.; Mercer, Sarah
2014-01-01
Positive psychology is a rapidly expanding subfield in psychology that has important implications for the field of second language acquisition (SLA). This paper introduces positive psychology to the study of language by describing its key tenets. The potential contributions of positive psychology are contextualized with reference to prior work,…
Cultural Psychology and Its Future
DEFF Research Database (Denmark)
Cultural Psychology is a radical new look in psychology that studies how persons and social-cultural worlds mutually constitute one another. With the increase of globalization and multicultural exchanges, cultural psychology becomes the psychological science for the 21st century. Encounters......’s revolutionary principle of ‘complementarity’ can contribute to the development of a cultural psychology that takes time, semiotics, and human feeling seriously. Commentators further discuss how complementarity can act as an epistemology for psychology; a number of new methodological strategies for incorporating...... culture and time into investigations; and what cultural psychology can contribute to our understanding of imagination, art, language and self-other relations....
RAWS II: A MULTIPLE REGRESSION ANALYSIS PROGRAM,
This memorandum gives instructions for the use and operation of a revised version of RAWS, a multiple regression analysis program. The program...of preprocessed data, the directed retention of variable, listing of the matrix of the normal equations and its inverse, and the bypassing of the regression analysis to provide the input variable statistics only. (Author)
A Simulation Investigation of Principal Component Regression.
Allen, David E.
Regression analysis is one of the more common analytic tools used by researchers. However, multicollinearity between the predictor variables can cause problems in using the results of regression analyses. Problems associated with multicollinearity include entanglement of relative influences of variables due to reduced precision of estimation,…
Hierarchical regression analysis in structural Equation Modeling
de Jong, P.F.
1999-01-01
In a hierarchical or fixed-order regression analysis, the independent variables are entered into the regression equation in a prespecified order. Such an analysis is often performed when the extra amount of variance accounted for in a dependent variable by a specific independent variable is the main
Categorical regression dose-response modeling
The goal of this training is to provide participants with training on the use of the U.S. EPA’s Categorical Regression soft¬ware (CatReg) and its application to risk assessment. Categorical regression fits mathematical models to toxicity data that have been assigned ord...
Variable importance in latent variable regression models
Kvalheim, O.M.; Arneberg, R.; Bleie, O.; Rajalahti, T.; Smilde, A.K.; Westerhuis, J.A.
2014-01-01
The quality and practical usefulness of a regression model are a function of both interpretability and prediction performance. This work presents some new graphical tools for improved interpretation of latent variable regression models that can also assist in improved algorithms for variable
Stepwise versus Hierarchical Regression: Pros and Cons
Lewis, Mitzi
2007-01-01
Multiple regression is commonly used in social and behavioral data analysis. In multiple regression contexts, researchers are very often interested in determining the "best" predictors in the analysis. This focus may stem from a need to identify those predictors that are supportive of theory. Alternatively, the researcher may simply be interested…
Suppression Situations in Multiple Linear Regression
Shieh, Gwowen
2006-01-01
This article proposes alternative expressions for the two most prevailing definitions of suppression without resorting to the standardized regression modeling. The formulation provides a simple basis for the examination of their relationship. For the two-predictor regression, the author demonstrates that the previous results in the literature are…
Gibrat’s law and quantile regressions
DEFF Research Database (Denmark)
Distante, Roberta; Petrella, Ivan; Santoro, Emiliano
2017-01-01
The nexus between firm growth, size and age in U.S. manufacturing is examined through the lens of quantile regression models. This methodology allows us to overcome serious shortcomings entailed by linear regression models employed by much of the existing literature, unveiling a number of important...
Regression Analysis and the Sociological Imagination
De Maio, Fernando
2014-01-01
Regression analysis is an important aspect of most introductory statistics courses in sociology but is often presented in contexts divorced from the central concerns that bring students into the discipline. Consequently, we present five lesson ideas that emerge from a regression analysis of income inequality and mortality in the USA and Canada.
Repeated Results Analysis for Middleware Regression Benchmarking
Czech Academy of Sciences Publication Activity Database
Bulej, Lubomír; Kalibera, T.; Tůma, P.
2005-01-01
Roč. 60, - (2005), s. 345-358 ISSN 0166-5316 R&D Projects: GA ČR GA102/03/0672 Institutional research plan: CEZ:AV0Z10300504 Keywords : middleware benchmarking * regression benchmarking * regression testing Subject RIV: JD - Computer Applications, Robotics Impact factor: 0.756, year: 2005
Principles of Quantile Regression and an Application
Chen, Fang; Chalhoub-Deville, Micheline
2014-01-01
Newer statistical procedures are typically introduced to help address the limitations of those already in practice or to deal with emerging research needs. Quantile regression (QR) is introduced in this paper as a relatively new methodology, which is intended to overcome some of the limitations of least squares mean regression (LMR). QR is more…
ON REGRESSION REPRESENTATIONS OF STOCHASTIC-PROCESSES
RUSCHENDORF, L; DEVALK, [No Value
We construct a.s. nonlinear regression representations of general stochastic processes (X(n))n is-an-element-of N. As a consequence we obtain in particular special regression representations of Markov chains and of certain m-dependent sequences. For m-dependent sequences we obtain a constructive
Regression of environmental noise in LIGO data
International Nuclear Information System (INIS)
Tiwari, V; Klimenko, S; Mitselmakher, G; Necula, V; Drago, M; Prodi, G; Frolov, V; Yakushin, I; Re, V; Salemi, F; Vedovato, G
2015-01-01
We address the problem of noise regression in the output of gravitational-wave (GW) interferometers, using data from the physical environmental monitors (PEM). The objective of the regression analysis is to predict environmental noise in the GW channel from the PEM measurements. One of the most promising regression methods is based on the construction of Wiener–Kolmogorov (WK) filters. Using this method, the seismic noise cancellation from the LIGO GW channel has already been performed. In the presented approach the WK method has been extended, incorporating banks of Wiener filters in the time–frequency domain, multi-channel analysis and regulation schemes, which greatly enhance the versatility of the regression analysis. Also we present the first results on regression of the bi-coherent noise in the LIGO data. (paper)
Pathological assessment of liver fibrosis regression
Directory of Open Access Journals (Sweden)
WANG Bingqiong
2017-03-01
Full Text Available Hepatic fibrosis is the common pathological outcome of chronic hepatic diseases. An accurate assessment of fibrosis degree provides an important reference for a definite diagnosis of diseases, treatment decision-making, treatment outcome monitoring, and prognostic evaluation. At present, many clinical studies have proven that regression of hepatic fibrosis and early-stage liver cirrhosis can be achieved by effective treatment, and a correct evaluation of fibrosis regression has become a hot topic in clinical research. Liver biopsy has long been regarded as the gold standard for the assessment of hepatic fibrosis, and thus it plays an important role in the evaluation of fibrosis regression. This article reviews the clinical application of current pathological staging systems in the evaluation of fibrosis regression from the perspectives of semi-quantitative scoring system, quantitative approach, and qualitative approach, in order to propose a better pathological evaluation system for the assessment of fibrosis regression.
Should metacognition be measured by logistic regression?
Rausch, Manuel; Zehetleitner, Michael
2017-03-01
Are logistic regression slopes suitable to quantify metacognitive sensitivity, i.e. the efficiency with which subjective reports differentiate between correct and incorrect task responses? We analytically show that logistic regression slopes are independent from rating criteria in one specific model of metacognition, which assumes (i) that rating decisions are based on sensory evidence generated independently of the sensory evidence used for primary task responses and (ii) that the distributions of evidence are logistic. Given a hierarchical model of metacognition, logistic regression slopes depend on rating criteria. According to all considered models, regression slopes depend on the primary task criterion. A reanalysis of previous data revealed that massive numbers of trials are required to distinguish between hierarchical and independent models with tolerable accuracy. It is argued that researchers who wish to use logistic regression as measure of metacognitive sensitivity need to control the primary task criterion and rating criteria. Copyright © 2017 Elsevier Inc. All rights reserved.
Predicting Intentions to Seek Psychological Help Among Botswana University Students
Directory of Open Access Journals (Sweden)
Mpho M. Pheko
2013-07-01
Full Text Available The current study had two main objectives. The first was to investigate Botswana’s university students’ intentions to seek psychological help. The second was to investigate whether (a Attitude Toward Seeking Professional Psychological Help (ATSPPH, (b Self-Stigma of Seeking Help (SSOSH, and (c Social Stigma of Receiving Psychological Help (SSRPH predicted the students’ intentions to seek psychological help. A total of N = 519 (283 females and 236 males students from the University of Botswana completed the survey. Results indicated that generally, the students had moderate intentions of seeking psychological help. Multiple regression analysis revealed that of the three predictors, only ATSPPH and SSRPH significantly predicted intentions to seek psychological help. The current study is important because while it has been established that university students are a high-risk population for mental health problems, there is close to nothing documented on university students in Botswana. Findings of the current study will undoubtedly increase knowledge relating to psychological help-seeking and its predictors in Botswana and may inform interventions that aim to encourage young people to seek psychological or counseling help.
Diabetic patients: Psychological aspects.
Adili, Fatemeh; Larijani, Bagher; Haghighatpanah, Mohammadreza
2006-11-01
This study was undertaken to consider the psychological aspect of diabetes with regard to improving clinical outcomes. The review was limited to literature reports on the causes, solutions, and treatments of some common psychological problems known to complicate diabetes management. A literature search was undertaken using Pub-Med, CINAHL, Proquest, Elsevier, Blackwell Synergy, Ovid, Ebsco, Rose net, and Google websites, including studies published in English journals between 1995 and 2006. Therefore about 88 articles were selected based on the inclusion criteria. In earlier studies, relatively little empirical research was found to substantiate the effect of psychological counseling in complicated diabetes. The greatest deficits were seen in areas of mental health, self-esteem parent impact, and family cohesion. There were some different factors, which influence the psychological aspect of diabetic patients, such as age, gender, place of living, familial and social support, motivation, energy, life satisfaction, and lifestyle. There are various types of solutions for coping with the psychological problems in diabetic clients. The most essential solution lies in educating the patients and healthcare providers on the subject. Before initiating each educational intervention, a thorough assessment would be crucial. Treatment plans may benefit from cognitive behavior therapy (CBT), behavior family therapy, improving family communication, problem-solving skills, and providing motivation for diabetic patients. Moreover, it seems that the close collaboration between diabetologists and psychologists would be fruitful.
Resilience and Psychological Distress in Psychology and Medical Students.
Bacchi, Stephen; Licinio, Julio
2017-04-01
The authors investigated levels of resilience and psychological distress in medical and psychology students, factors that may affect these levels, the relationship between resilience and psychological distress, and student opinion on causes of stress and possible interventions. A voluntary anonymous online survey was distributed to University of Adelaide medical and psychology students. Medical and psychology students (n = 560; response rate = 24.7%) had similar mean resilience and psychological distress scores, and 47.9% of medical students and 55.1% of psychology students were psychologically distressed. Higher levels of resilience were associated with lower levels of distress (p Students supported resilience-based interventions, greater financial support, clearer learning objectives and more continuous assessment as potential means to reduce the effects of stress. Higher levels of resilience were associated with lower levels of psychological distress. Further studies are required to determine the efficacy of resilience-based interventions in these groups.
Narrating psychological distress
DEFF Research Database (Denmark)
Zinken, Jörg; Blakemore, Caroline; Zinken, Katarzyna
2011-01-01
Psychological research has emphasized the importance of narrative for a person's sense of self. Building a coherent narrative of past events is one objective of psychotherapy. However, in guided self-help therapy the patient has to develop this narrative autonomously. Identifying patients......' narrative skills in relation to psychological distress could provide useful information about their suitability for self-help. The aim of this study was to explore whether the syntactic integration of clauses into narrative in texts written by prospective psychotherapy patients was related to mild...... to moderate psychological distress. Cross-clausal syntax of texts by 97 people who had contacted a primary care mental health service was analyzed. Severity of symptoms associated with mental health difficulties was assessed by a standardized scale (Clinical Outcomes in Routine Evaluation outcome measure...
Qualitative experiments in psychology
DEFF Research Database (Denmark)
Wagoner, Brady
2015-01-01
In this article, I explore the meaning of experiments in early twentieth century psychology, focusing on the qualitative experimental methodology of psychologist Frederic BARTLETT. I begin by contextualizing BARTLETT's experiments within the continental research tradition of his time, which...... was in a state of transition from a focus on elements (the concern of psychophysics) to a focus on wholes (the concern of Gestalt psychology). The defining feature of BARTLETT's early experiments is his holistic treatment of human responses, in which the basic unit of analysis is the active person relating...... to some material within the constraints of a social and material context. This manifests itself in a number of methodological principles that contrast with contemporary understandings of experimentation in psychology. The contrast is further explored by reviewing the history of "replications...
Embodiment in social psychology.
Meier, Brian P; Schnall, Simone; Schwarz, Norbert; Bargh, John A
2012-10-01
Psychologists are increasingly interested in embodiment based on the assumption that thoughts, feelings, and behaviors are grounded in bodily interaction with the environment. We examine how embodiment is used in social psychology, and we explore the ways in which embodied approaches enrich traditional theories. Although research in this area is burgeoning, much of it has been more descriptive than explanatory. We provide a critical discussion of the trajectory of embodiment research in social psychology. We contend that future researchers should engage in a phenomenon-based approach, highlight the theoretical boundary conditions and mediators involved, explore novel action-relevant outcome measures, and address the role of individual differences broadly defined. Such research will likely provide a more explanatory account of the role of embodiment in general terms as well as how it expands the knowledge base in social psychology. Copyright © 2012 Cognitive Science Society, Inc.
[Psychological theories of motivation].
Quoniam, Nolwenn; Bungener, Catherine
2004-03-01
The comprehension of the principles guiding the human actions has always been an important aspect of philosophy. The development of experimental psychology first completely rejected all mental explanations such as will, intentions or motives. Behavior should then only be understood as determined by conditioning and learning. However, different theories denied that human behavior could be considered as purely reactive to the environment and stressed the active role of the organism on the environment. Theories from the humanist psychology and the social psychology described two kinds of motivation. The extrinsic motivation results from external stimuli and the intrinsic motivation from the organism himself. Our behavior is therefore determined by an interaction between our beliefs, expectations, needs and the environment. Actually, the concept of motivation is not well specified. It refers either to a global dynamic structure responsible for action either to a specific tendency toward some specific actions. Anyway, motivation is a concept infered from behavior. Therefore, its evaluation could only be secondary.
Fiese, Barbara H
2016-02-01
To realize the broad and complex nature of the field of family psychology, I have slightly revised the mission statement of the Journal of Family Psychology (JFP) to capture contemporary scholarship in family psychology and to advance systems perspectives in this top-tier scientific journal. Over the next 6 years, I hope that authors will consider JFP as an outlet for their best work in the following areas: (1) JFP addresses societal challenges faced by families today; (2) JFP publishes important studies on what makes couple and family relationships work; (3) JFP is a leader in publishing reports that use cutting-edge sophisticated approaches to research design and data analysis; and (4) JFP imparts knowledge about effective therapy and prevention programs relevant to couples and families. The journal is also expanding its publication rate to eight issues per year. (c) 2016 APA, all rights reserved).
Sociogenomic Personality Psychology
Roberts, Brent W.; Jackson, Joshua J.
2009-01-01
In this article, we address a number of issues surrounding biological models of personality traits. Most traditional and many contemporary biological models of personality traits assume that biological systems underlying personality traits are causal and immutable. In contrast, sociogenomic biology, which we introduce to readers in this article, directly contradicts the widely held assumption that something that is biological, heritable, or temperamental, is unchangeable. We provide examples of how seemingly unchanging biological systems, such as DNA, are both dependent on environments for elicitation and can be modified by environmental changes. Finally, we synthesize sociogenomic biology with personality psychology in a model of personality traits that integrates this more modern perspective on biology, physiology, and environment that we term sociogenomic personality psychology. We end the article with a discussion of the future directions of sociogenomic personality psychology. PMID:19012657
Regression modeling of ground-water flow
Cooley, R.L.; Naff, R.L.
1985-01-01
Nonlinear multiple regression methods are developed to model and analyze groundwater flow systems. Complete descriptions of regression methodology as applied to groundwater flow models allow scientists and engineers engaged in flow modeling to apply the methods to a wide range of problems. Organization of the text proceeds from an introduction that discusses the general topic of groundwater flow modeling, to a review of basic statistics necessary to properly apply regression techniques, and then to the main topic: exposition and use of linear and nonlinear regression to model groundwater flow. Statistical procedures are given to analyze and use the regression models. A number of exercises and answers are included to exercise the student on nearly all the methods that are presented for modeling and statistical analysis. Three computer programs implement the more complex methods. These three are a general two-dimensional, steady-state regression model for flow in an anisotropic, heterogeneous porous medium, a program to calculate a measure of model nonlinearity with respect to the regression parameters, and a program to analyze model errors in computed dependent variables such as hydraulic head. (USGS)
Psychological Adaptation, Marital Satisfaction, and Academic Self-Efficacy of International Students
Bulgan, Gökçe; Çiftçi, Ayse
2017-01-01
The authors investigated marital satisfaction and academic self-efficacy in relation to psychological adaptation (i.e., psychological well-being, life satisfaction) in a sample of 198 married international students. Results of multiple regression analyses indicated that marital satisfaction and academic self-efficacy accounted for 45.9% of…
International psychology and scientific psychology: at the crossroads for the future of psychology
Robert, J.
2014-01-01
The discipline of psychology as a science and the newly emerging field of international psychology are at a crossroads in terms of a conflict that has developed in their views. By means of comparative analysis, this article examines how the proponents of international psychology describe their area, how that description conflicts with the concept of psychology as a science, and what that conflict means for the development of psychology as an overall discipline. The analysis reveals weaknesses...
Lest we forget that industrial and organisational psychology is psychology
Directory of Open Access Journals (Sweden)
DJW Strümpfer
2007-10-01
Full Text Available The tie between industrial/organisational psychology (IOP and general psychology should be taken seriously. The origin of the split into separate academic departments is discussed. Four IOP topics are presented which are rooted in psychology or where the psychological quality is strong, making the tie-in clear: motivation, leadership, assessment, and appreciative inquiry; by way of illustration, proponents are referred to. Specialisation and professionalisation often bring undue emphasis on technology. IOP cannot be human resource management. Suggestions are made about bringing IOP and psychology closer within teaching programmes and internships. Appreciative images of what IOP, hand-in-hand with psychology, could be like, are put forward.
DEFF Research Database (Denmark)
Glaveanu, Vlad Petre
2014-01-01
The psychology of creativity is nowadays a thriving field of investigation, but also a discipline in crisis. This is the premise for the critical reading of past and present work within this area proposed here. The presentation follows the typical headings of a research article, beginning...... in order to help us develop a stronger psychology of creativity in the decades to come. In the end, six main points are placed on a hypothetical agenda for future (creative) creativity re-search. In this sense, a critical reading is actually the first step in the process of being constructive and calling...
Neuroeconomics and business psychology
DEFF Research Database (Denmark)
Larsen, Torben
2010-01-01
To determine parameters of the frontal power of executive integration for application in business, this paper reviewed neuroeconomic neuroimaging research and discussion in relation to business psychology. The results are that limbic system (L) is a centre of primary consciousness based on a meso......To determine parameters of the frontal power of executive integration for application in business, this paper reviewed neuroeconomic neuroimaging research and discussion in relation to business psychology. The results are that limbic system (L) is a centre of primary consciousness based...
Hoc, J-M
1991-01-01
Psychology provides a backdrop for most of the study of human*b1computer interaction. In this volume the psychological issues that pertain to programming, rather than systems design, are examined in four sections: Theoretical and Methodological Issues; Language Design and Skill Acquisition; Expert Programming; and the Future.****The book was inspired by working groups in France and the United Kingdom but also includes work by major North American figures (such as Curtis and Soloway). It is the first comprehensive work on this topic since the early 1980s.
Psychological lessons of Chernobyl
International Nuclear Information System (INIS)
Abramova, V.N.
1989-01-01
Up to the time of the disaster, the Chernobyl Nuclear Power Plant was regarded as one of the best in the USSR, and the city of Pripyat, housing the plant's staff, was rightly called one of the most comfortable. Also, the psychological climate of the plant provided no causes for worry. This was a worked-in team, composed of seasoned and knowledgeable experts. How can one then explain the events that happened in such an unlikely place. Isn't there a danger that the situation will repeat itself? The author considers the question and other psychological aspects of the Chernobyl incident
Psychological models of suicide.
Barzilay, Shira; Apter, Alan
2014-01-01
Suicidal behavior is highly complex and multifaceted. Consequent to the pioneering work of Durkheim and Freud, theoreticians have attempted to explain the biological, social, and psychological nature of suicide. The present work presents an overview and critical discussion of the most influential theoretical models of the psychological mechanisms underlying the development of suicidal behavior. All have been tested to varying degrees and have important implications for the development of therapeutic and preventive interventions. Broader and more in-depth approaches are still needed to further our understanding of suicidal phenomena.
On applying cognitive psychology.
Baddeley, Alan
2013-11-01
Recent attempts to assess the practical impact of scientific research prompted my own reflections on over 40 years worth of combining basic and applied cognitive psychology. Examples are drawn principally from the study of memory disorders, but also include applications to the assessment of attention, reading, and intelligence. The most striking conclusion concerns the many years it typically takes to go from an initial study, to the final practical outcome. Although the complexity and sheer timescale involved make external evaluation problematic, the combination of practical satisfaction and theoretical stimulation make the attempt to combine basic and applied research very rewarding. © 2013 The British Psychological Society.
Variable and subset selection in PLS regression
DEFF Research Database (Denmark)
Høskuldsson, Agnar
2001-01-01
The purpose of this paper is to present some useful methods for introductory analysis of variables and subsets in relation to PLS regression. We present here methods that are efficient in finding the appropriate variables or subset to use in the PLS regression. The general conclusion...... is that variable selection is important for successful analysis of chemometric data. An important aspect of the results presented is that lack of variable selection can spoil the PLS regression, and that cross-validation measures using a test set can show larger variation, when we use different subsets of X, than...
Applied Regression Modeling A Business Approach
Pardoe, Iain
2012-01-01
An applied and concise treatment of statistical regression techniques for business students and professionals who have little or no background in calculusRegression analysis is an invaluable statistical methodology in business settings and is vital to model the relationship between a response variable and one or more predictor variables, as well as the prediction of a response value given values of the predictors. In view of the inherent uncertainty of business processes, such as the volatility of consumer spending and the presence of market uncertainty, business professionals use regression a
PSYCHOLOGY. Estimating the reproducibility of psychological science.
2015-08-28
Reproducibility is a defining feature of science, but the extent to which it characterizes current research is unknown. We conducted replications of 100 experimental and correlational studies published in three psychology journals using high-powered designs and original materials when available. Replication effects were half the magnitude of original effects, representing a substantial decline. Ninety-seven percent of original studies had statistically significant results. Thirty-six percent of replications had statistically significant results; 47% of original effect sizes were in the 95% confidence interval of the replication effect size; 39% of effects were subjectively rated to have replicated the original result; and if no bias in original results is assumed, combining original and replication results left 68% with statistically significant effects. Correlational tests suggest that replication success was better predicted by the strength of original evidence than by characteristics of the original and replication teams. Copyright © 2015, American Association for the Advancement of Science.
Vectors, a tool in statistical regression theory
Corsten, L.C.A.
1958-01-01
Using linear algebra this thesis developed linear regression analysis including analysis of variance, covariance analysis, special experimental designs, linear and fertility adjustments, analysis of experiments at different places and times. The determination of the orthogonal projection, yielding
Genetics Home Reference: caudal regression syndrome
... umbilical artery: Further support for a caudal regression-sirenomelia spectrum. Am J Med Genet A. 2007 Dec ... AK, Dickinson JE, Bower C. Caudal dysgenesis and sirenomelia-single centre experience suggests common pathogenic basis. Am ...
Dynamic travel time estimation using regression trees.
2008-10-01
This report presents a methodology for travel time estimation by using regression trees. The dissemination of travel time information has become crucial for effective traffic management, especially under congested road conditions. In the absence of c...
Two Paradoxes in Linear Regression Analysis
FENG, Ge; PENG, Jing; TU, Dongke; ZHENG, Julia Z.; FENG, Changyong
2016-01-01
Summary Regression is one of the favorite tools in applied statistics. However, misuse and misinterpretation of results from regression analysis are common in biomedical research. In this paper we use statistical theory and simulation studies to clarify some paradoxes around this popular statistical method. In particular, we show that a widely used model selection procedure employed in many publications in top medical journals is wrong. Formal procedures based on solid statistical theory should be used in model selection. PMID:28638214
Discriminative Elastic-Net Regularized Linear Regression.
Zhang, Zheng; Lai, Zhihui; Xu, Yong; Shao, Ling; Wu, Jian; Xie, Guo-Sen
2017-03-01
In this paper, we aim at learning compact and discriminative linear regression models. Linear regression has been widely used in different problems. However, most of the existing linear regression methods exploit the conventional zero-one matrix as the regression targets, which greatly narrows the flexibility of the regression model. Another major limitation of these methods is that the learned projection matrix fails to precisely project the image features to the target space due to their weak discriminative capability. To this end, we present an elastic-net regularized linear regression (ENLR) framework, and develop two robust linear regression models which possess the following special characteristics. First, our methods exploit two particular strategies to enlarge the margins of different classes by relaxing the strict binary targets into a more feasible variable matrix. Second, a robust elastic-net regularization of singular values is introduced to enhance the compactness and effectiveness of the learned projection matrix. Third, the resulting optimization problem of ENLR has a closed-form solution in each iteration, which can be solved efficiently. Finally, rather than directly exploiting the projection matrix for recognition, our methods employ the transformed features as the new discriminate representations to make final image classification. Compared with the traditional linear regression model and some of its variants, our method is much more accurate in image classification. Extensive experiments conducted on publicly available data sets well demonstrate that the proposed framework can outperform the state-of-the-art methods. The MATLAB codes of our methods can be available at http://www.yongxu.org/lunwen.html.
Fuzzy multiple linear regression: A computational approach
Juang, C. H.; Huang, X. H.; Fleming, J. W.
1992-01-01
This paper presents a new computational approach for performing fuzzy regression. In contrast to Bardossy's approach, the new approach, while dealing with fuzzy variables, closely follows the conventional regression technique. In this approach, treatment of fuzzy input is more 'computational' than 'symbolic.' The following sections first outline the formulation of the new approach, then deal with the implementation and computational scheme, and this is followed by examples to illustrate the new procedure.
Computing multiple-output regression quantile regions
Czech Academy of Sciences Publication Activity Database
Paindaveine, D.; Šiman, Miroslav
2012-01-01
Roč. 56, č. 4 (2012), s. 840-853 ISSN 0167-9473 R&D Projects: GA MŠk(CZ) 1M06047 Institutional research plan: CEZ:AV0Z10750506 Keywords : halfspace depth * multiple-output regression * parametric linear programming * quantile regression Subject RIV: BA - General Mathematics Impact factor: 1.304, year: 2012 http://library.utia.cas.cz/separaty/2012/SI/siman-0376413.pdf
There is No Quantum Regression Theorem
International Nuclear Information System (INIS)
Ford, G.W.; OConnell, R.F.
1996-01-01
The Onsager regression hypothesis states that the regression of fluctuations is governed by macroscopic equations describing the approach to equilibrium. It is here asserted that this hypothesis fails in the quantum case. This is shown first by explicit calculation for the example of quantum Brownian motion of an oscillator and then in general from the fluctuation-dissipation theorem. It is asserted that the correct generalization of the Onsager hypothesis is the fluctuation-dissipation theorem. copyright 1996 The American Physical Society
Caudal regression syndrome : a case report
International Nuclear Information System (INIS)
Lee, Eun Joo; Kim, Hi Hye; Kim, Hyung Sik; Park, So Young; Han, Hye Young; Lee, Kwang Hun
1998-01-01
Caudal regression syndrome is a rare congenital anomaly, which results from a developmental failure of the caudal mesoderm during the fetal period. We present a case of caudal regression syndrome composed of a spectrum of anomalies including sirenomelia, dysplasia of the lower lumbar vertebrae, sacrum, coccyx and pelvic bones,genitourinary and anorectal anomalies, and dysplasia of the lung, as seen during infantography and MR imaging
Caudal regression syndrome : a case report
Energy Technology Data Exchange (ETDEWEB)
Lee, Eun Joo; Kim, Hi Hye; Kim, Hyung Sik; Park, So Young; Han, Hye Young; Lee, Kwang Hun [Chungang Gil Hospital, Incheon (Korea, Republic of)
1998-07-01
Caudal regression syndrome is a rare congenital anomaly, which results from a developmental failure of the caudal mesoderm during the fetal period. We present a case of caudal regression syndrome composed of a spectrum of anomalies including sirenomelia, dysplasia of the lower lumbar vertebrae, sacrum, coccyx and pelvic bones,genitourinary and anorectal anomalies, and dysplasia of the lung, as seen during infantography and MR imaging.
Spontaneous regression of metastatic Merkel cell carcinoma.
LENUS (Irish Health Repository)
Hassan, S J
2010-01-01
Merkel cell carcinoma is a rare aggressive neuroendocrine carcinoma of the skin predominantly affecting elderly Caucasians. It has a high rate of local recurrence and regional lymph node metastases. It is associated with a poor prognosis. Complete spontaneous regression of Merkel cell carcinoma has been reported but is a poorly understood phenomenon. Here we present a case of complete spontaneous regression of metastatic Merkel cell carcinoma demonstrating a markedly different pattern of events from those previously published.
Forecasting exchange rates: a robust regression approach
Preminger, Arie; Franck, Raphael
2005-01-01
The least squares estimation method as well as other ordinary estimation method for regression models can be severely affected by a small number of outliers, thus providing poor out-of-sample forecasts. This paper suggests a robust regression approach, based on the S-estimation method, to construct forecasting models that are less sensitive to data contamination by outliers. A robust linear autoregressive (RAR) and a robust neural network (RNN) models are estimated to study the predictabil...
Marginal longitudinal semiparametric regression via penalized splines
Al Kadiri, M.
2010-08-01
We study the marginal longitudinal nonparametric regression problem and some of its semiparametric extensions. We point out that, while several elaborate proposals for efficient estimation have been proposed, a relative simple and straightforward one, based on penalized splines, has not. After describing our approach, we then explain how Gibbs sampling and the BUGS software can be used to achieve quick and effective implementation. Illustrations are provided for nonparametric regression and additive models.
Marginal longitudinal semiparametric regression via penalized splines
Al Kadiri, M.; Carroll, R.J.; Wand, M.P.
2010-01-01
We study the marginal longitudinal nonparametric regression problem and some of its semiparametric extensions. We point out that, while several elaborate proposals for efficient estimation have been proposed, a relative simple and straightforward one, based on penalized splines, has not. After describing our approach, we then explain how Gibbs sampling and the BUGS software can be used to achieve quick and effective implementation. Illustrations are provided for nonparametric regression and additive models.
Post-processing through linear regression
van Schaeybroeck, B.; Vannitsem, S.
2011-03-01
Various post-processing techniques are compared for both deterministic and ensemble forecasts, all based on linear regression between forecast data and observations. In order to evaluate the quality of the regression methods, three criteria are proposed, related to the effective correction of forecast error, the optimal variability of the corrected forecast and multicollinearity. The regression schemes under consideration include the ordinary least-square (OLS) method, a new time-dependent Tikhonov regularization (TDTR) method, the total least-square method, a new geometric-mean regression (GM), a recently introduced error-in-variables (EVMOS) method and, finally, a "best member" OLS method. The advantages and drawbacks of each method are clarified. These techniques are applied in the context of the 63 Lorenz system, whose model version is affected by both initial condition and model errors. For short forecast lead times, the number and choice of predictors plays an important role. Contrarily to the other techniques, GM degrades when the number of predictors increases. At intermediate lead times, linear regression is unable to provide corrections to the forecast and can sometimes degrade the performance (GM and the best member OLS with noise). At long lead times the regression schemes (EVMOS, TDTR) which yield the correct variability and the largest correlation between ensemble error and spread, should be preferred.
Post-processing through linear regression
Directory of Open Access Journals (Sweden)
B. Van Schaeybroeck
2011-03-01
Full Text Available Various post-processing techniques are compared for both deterministic and ensemble forecasts, all based on linear regression between forecast data and observations. In order to evaluate the quality of the regression methods, three criteria are proposed, related to the effective correction of forecast error, the optimal variability of the corrected forecast and multicollinearity. The regression schemes under consideration include the ordinary least-square (OLS method, a new time-dependent Tikhonov regularization (TDTR method, the total least-square method, a new geometric-mean regression (GM, a recently introduced error-in-variables (EVMOS method and, finally, a "best member" OLS method. The advantages and drawbacks of each method are clarified.
These techniques are applied in the context of the 63 Lorenz system, whose model version is affected by both initial condition and model errors. For short forecast lead times, the number and choice of predictors plays an important role. Contrarily to the other techniques, GM degrades when the number of predictors increases. At intermediate lead times, linear regression is unable to provide corrections to the forecast and can sometimes degrade the performance (GM and the best member OLS with noise. At long lead times the regression schemes (EVMOS, TDTR which yield the correct variability and the largest correlation between ensemble error and spread, should be preferred.
Unbalanced Regressions and the Predictive Equation
DEFF Research Database (Denmark)
Osterrieder, Daniela; Ventosa-Santaulària, Daniel; Vera-Valdés, J. Eduardo
Predictive return regressions with persistent regressors are typically plagued by (asymptotically) biased/inconsistent estimates of the slope, non-standard or potentially even spurious statistical inference, and regression unbalancedness. We alleviate the problem of unbalancedness in the theoreti......Predictive return regressions with persistent regressors are typically plagued by (asymptotically) biased/inconsistent estimates of the slope, non-standard or potentially even spurious statistical inference, and regression unbalancedness. We alleviate the problem of unbalancedness...... in the theoretical predictive equation by suggesting a data generating process, where returns are generated as linear functions of a lagged latent I(0) risk process. The observed predictor is a function of this latent I(0) process, but it is corrupted by a fractionally integrated noise. Such a process may arise due...... to aggregation or unexpected level shifts. In this setup, the practitioner estimates a misspecified, unbalanced, and endogenous predictive regression. We show that the OLS estimate of this regression is inconsistent, but standard inference is possible. To obtain a consistent slope estimate, we then suggest...
Psychology: Teacher Supplement.
Stark, Rebecca
This supplement provides teachers with tests, quizzes, answers to questions in the text, and general teaching information for using the student text, "Psychology," by Rebecca Stark. Quizzes included are on the topics of human development; the nervous system; the brain; cognitive development; sensation and perception; conditioning; learning;…
African Journals Online (AJOL)
Journal Homepage Image. The journal has a multidisciplinary focus. It is not intended ... Influence of Parenting Styles on Psychological Well-Being and School Adjustment of Secondary School Adolescents in Bayelsa State, Nigeria · EMAIL FULL TEXT EMAIL FULL TEXT · DOWNLOAD FULL TEXT DOWNLOAD FULL TEXT.
Psychological Stress and Cancer
... on or fail to adhere to potentially helpful therapy, engage in risky behaviors such as drug use, or do not maintain a healthy lifestyle, resulting in premature death. How can people who have cancer learn to cope with psychological stress? Emotional and social support can help patients ...
Logotherapy and positive psychology
Directory of Open Access Journals (Sweden)
Oscar R. Oro
2015-09-01
Full Text Available Psychology omitted to approach, during almost a century, the positive aspects from persons, like creativity, humor, optimism, hope, forgiveness, life meaning, and happiness. These themes are approached by Positive Psychology, with Seligman like the principal exponent. Psychology was dedicated to explore the negative aspects from human beings improving human health. Nevertheless, this pathogenic model could not prevent mental disease. Concepts of Positive Psychology have a solid antecedent in Víktor Frankl ́s studies, which is the Logotherapy founder. This allows incorporating another perspective to approach positive aspects, from a philosophical and anthropological focus. Although the ways adopted by Frank and Seligman are different, both considered main aspects of human existence. Nevertheless, they investigated in different countries (from Europe and EE.UU.; in different circumstances (concentration camps, deaths, tortures; vs. academic context; in different historical periods and different social contexts (a country that lost the war and other that gave freedom to Europeans. In this work is used the concept life sense as the focus in professional formation and psychotherapy approach.
Rediscovering Differential Psychology?
Takooshian, Harold
2010-01-01
Comments on the original article, "Many forms of culture," by A. B. Cohen. Cohen offered an eye-opening review of how culture means much more than ethnicity within a nation or differences between nations. After developing a much-expanded definition of culture, he concluded, "I have lamented the fact that psychology has focused on some important…
Jennings, Gretchen; Craig, Michelle L.
1997-01-01
Describes an exhibition-based activity set that teaches important psychological processes such as attention (Interference), communication (Pattern Talk), and cooperation versus competition (Do Nice Guys Finish Last?). Activities follow the scientific method, and teachers can observe varying levels of skill and cognitive development in students of…
Space Psychology and Psychiatry
Kanas, N.; Manzey, D.
2003-09-01
This book deals with psychological, psychiatric, and psychosocial issues that affect people who live and work in space. Unlike other books that focus on anecdotal reports and ground-based simulation studies, this book emphasizes the findings from psychological research conducted during actual space missions. Both authors have been active in such research. What is presented in this readable text has previously been found only in scientific journal articles. Topics that are discussed include: behavioral adaptation to space; human performance and cognitive effects; crewmember interactions; psychiatric responses; psychological counter-measures related to habitability factors, work-design, selection, training, and in-flight monitoring and support; and the impact of expeditionary missions to Mars and beyond. People finding this book of interest will include: psychology and social science students and professors in universities; medical students and residents in psychiatry and aerospace medicine; human factors workers in space and aviation professions; individuals involved with isolated environments on Earth (e.g., the Antarctic, submarines); aerospace workers in businesses and space agencies such as NASA and ESA; and anyone who is interested in learning the facts about the human side of long-duration space missions. Link: http://www.wkap.nl/prod/b/1-4020-1341-8
Pedrini, D. T.; Pedrini, B. C.
William James, the turn of the century psychologist, philospher, and educator, was avidly interested in the relationship between psychology and teaching. This paper considers operant conditioning, timing of reinforcers, and programmed instruction--touchstones of B.F. Skinner in the teaching/learning milieu. Of course, materials not just methods…
FORENSIC CRIMINOLOGY - FUGITIVE PSYCHOLOGY
Nyagudi, Nyagudi Musandu
2014-01-01
Forensic Criminology – Fugitive Psychology, 2010 Security Summit (Regional Security Exhibition & Conference ) a forum hosted by Kenya Security Industry Association, Securi Fast Trainers & Consultants, Fidelity Security Limited at Desmond Tutu Conference Centre, Nairobi Kenya from 4th-5th March, 2010
Levant, Ronald F., ed.
1983-01-01
Describes programs for family counseling which use psychological-educational and skills training methods to remediate individual and family problems or enhance family life. The six articles discuss client-centered skills training, behavioral approaches, cognitive behavioral marital therapy, Adlerian parent education, and couple communication. (JAC)
Triandis, Harry C.; Brislin, Richard W.
Cross-Cultural psychology refers to the collective efforts of researchers who work among people who live in different societies, with different languages and different forms of government. There are a number of benefits to the study of human behavior which can be accrued by carrying out research in various cultures, largely concerned with better…
Instructional Psychology 1976 - 1981,
1982-06-01
business it is to carry out applied work in the design of instructional content and delivery. These organizations include specialized divisions of...34learning disabilities" label: An experimental analysis. Comtemporary Educational Psychology, 1977, 2, 292-297. Allington, R. L. Sensitivity to
Indian Academy of Sciences (India)
Home; Journals; Resonance – Journal of Science Education; Volume 2; Issue 11. Is Psychology a Science ? Kamala V Mukunda. General Article Volume 2 Issue 11 November 1997 pp 59-66. Fulltext. Click here to view fulltext PDF. Permanent link: https://www.ias.ac.in/article/fulltext/reso/002/11/0059-0066 ...
Psychological distress among women with newly diagnosed breast cancer
DEFF Research Database (Denmark)
Mertz, Birgitte; Bistrup, Pernille Envold; Johansen, Christoffer
2012-01-01
PURPOSE: Psychological distress is common in the cancer continuum. Our objectives were to determine the prevalence of distress and to investigate the related problems and the characteristics of women with breast cancer who experienced psychological distress at the time of diagnosis. METHODS: We...... thermometer' to measure psychological distress and the accompanying 'problem list' to identify related problems. Logistic regression models with 95% confidence intervals were used to estimate the associations between psychological distress, age, social support and domains on the problem list. RESULTS......: With a cut-off of 3 on the distress thermometer, 77% of women with breast cancer reported distress, whereas when the cut-off was 7, 43% were distressed. The mean distress score was 5.4 (SD, 3.1). The most frequently reported problems were worry (77%) and nervousness (71%). Distress was significantly...
Cultural Consonance, Religion and Psychological Distress in an Urban Community
Directory of Open Access Journals (Sweden)
William W. Dressler
2013-08-01
Full Text Available Cultural consonance is the degree to which individuals approximate prototypes encoded in cultural models. Low cultural consonance is associated with higher psychological distress. Religion may moderate the association between cultural consonance and psychological distress. Brazil, with substantial variation in religion, is an important society for the examination of this hypothesis. Research was conducted in Ribeirão Preto, Brazil, using a mixed-methods design. Measures of cultural consonance were derived using ethnographic methods and then applied in a survey of 271 individuals drawn from four distinct social strata. Low cultural consonance was associated with higher psychological distress in multiple regression analysis ( B = -.430, p < .001. Members of Pentecostal Protestant churches reported lower psychological distress independently of the effect of cultural consonance ( B = -.409, p < .05. There was no buffering effect of religion. Implications of these results for the study of religion and health are discussed.
Positive Psychology and old age Psychology. Theoretical Intersections
Enrique Lombardo
2015-01-01
This article is a theoretical review of developments and research of the posi- tive psychology and of the psychology of aging. Some concepts that are in that intersection are: psychic capital, strengths, psychological wellbeing and emo- tional regulation. In all the cases they are positive psychic factors associated to the successful aging. Since the end of the 20th century, within the psychology of aging has been developing and achieved fundamental transformations in term of theoretical base...
Core References in Introductory Social Psychology and Developmental Psychology Textbooks
Whitehead, George I., III; Smith, Stephanie H.; Losonczy-Marshall, Marta
2017-01-01
The purpose of the present study was to identify the core references in introductory textbooks in two sub-disciplines of psychology: social psychology and developmental psychology. One research question was the extent to which the common references in these textbooks present the trends in contemporary research in each sub-discipline. An analysis…
Broadening the Boundaries of Psychology through Community Psychology
Kagan, Carolyn
2008-01-01
This paper argues for community psychology to be included within the discipline boundaries of psychology. In doing this, it will enable psychology to begin to address some of the large scale social issues affecting people's well-being. It will be necessary, however, to incorporate aspects of other disciplines, make explicit the political…
Ethnic Minority Psychological Associations: Connections to Counseling Psychology
Delgado-Romero, Edward A.; Forrest, Linda; Lau, Michael Y.
2012-01-01
This article provides the introduction, background and rationale for the Major Contribution focused on five national ethnic minority psychological associations: the Asian American Psychological Association, The Association of Black Psychologists, the National Latina/o Psychological Association, the Society of Indian Psychologists, and the Society…
Mediating and/or moderating roles of psychological empowerment.
Meng, Lina; Jin, Yi; Guo, Jiajia
2016-05-01
The purpose of this study was to explore the mediating and/or moderating effects of psychological empowerment in the relationship between structural empowerment and burnout among nurses in China. Burnout is prevalent among nurses. Previous studies have found that empowering organizational structures contribute to reduce nurses' burnout. However, little is known about the mediating or moderating role of psychological empowerment in the relationship between structural empowerment and burnout among nurses in China. A cross-sectional design was conducted. A total of 244 nurses participated in this study. The data were collected in March 2013. Multiple regressions were used to test the hypothesized models. Psychological empowerment was found to be a significant mediator of the relationship between structural empowerment and burnout (standardized β=-0.553, Sobel test: z=7.79, pmoderating effect of psychological empowerment in that relationship was not verified. Both structural and psychological empowerment negatively correlated with burnout. The psychological empowerment had a mediating effect on burnout. It is important for nurse managers to develop strategies to ensure that empowering structures are in place and to facilitate nurses' perception of psychological empowerment. Copyright © 2015 Elsevier Inc. All rights reserved.
Sociodemographic predictors of elderly's psychological well-being in Malaysia.
Momtaz, Yadollah A; Ibrahim, Rahimah; Hamid, Tengku A; Yahaya, Nurizan
2011-05-01
Psychological well-being as one of the most important indicators of successful aging has received substantial attention in the gerontological literature. Prior studies show that sociodemographic factors influencing elderly's psychological well-being are multiple and differ across cultures. The aim of this study was to identify significant sociodemographic predictors of psychological well-being among Malay elders. The study included 1415 older Malays (60-100 years, 722 women), randomly selected through a multistage stratified random method from Peninsular Malaysia. WHO-Five well-being index was used to measure psychological well-being. Data analysis was conducted using the Statistical Package for Social Sciences (SPSS) version 13.0. Using multiple regression analysis a significant model emerged (F(7, 1407) = 20.14, p ≤ 0.001), where age, sex, marital status, and household income were significant predictor variables of psychological well-being among Malay elders. However, level of education, employment status, and place of residence failed to predict psychological well-being. This study showed that the oldest old, elderly women, unmarried, and the poor elderly people are at risk for experiencing low psychological well-being. Therefore, they need special attention from family, policy makers, and those who work with elderly people.
Political Psychology of European Integration
DEFF Research Database (Denmark)
Manners, Ian James
2014-01-01
The chapter engages in a survey of what political psychology and European integration have to say to each other in the understanding of the European Union. The chapter draws on five strands of political psychology as part of this engagement – conventional psychology, social psychology, social...... construction, psychoanalysis, and critical political psychology. Within each strand a number of examples of scholarship at the interface of political psychology and European integration are examined. The chapter argues that the study of the EU has much to benefit from political psychology in terms of theories...... and methods of European identity and integration, but it also argues that political psychology can benefit from the insights of European integration by rethinking the processes that drive the marking of inside and outside, interior and exterior, belonging and otherness....
African Journals Online: Psychology & Psychiatry
African Journals Online (AJOL)
Items 1 - 16 of 16 ... African Journal for the Psychological Study of Social Issues ... case studies that are community-based and inter/intra-cultural on human behaviour, ... education, health, religion, business, tourism, counselling and psychology.
American Psychological Association annual report.
2010-01-01
Presents the 2009 American Psychological Association annual report. It highlights a very important year for APA and psychology by summarizing activities within each directorate. It describes strides made toward the goal of infusing psychology into the health care marketplace and of bringing psychology-and the unique skills of psychologists-to the attention of the public. This report aims to give insight into the contributions psychologists make to our communities and our country. 2010 APA, all rights reserved.
Regression analysis using dependent Polya trees.
Schörgendorfer, Angela; Branscum, Adam J
2013-11-30
Many commonly used models for linear regression analysis force overly simplistic shape and scale constraints on the residual structure of data. We propose a semiparametric Bayesian model for regression analysis that produces data-driven inference by using a new type of dependent Polya tree prior to model arbitrary residual distributions that are allowed to evolve across increasing levels of an ordinal covariate (e.g., time, in repeated measurement studies). By modeling residual distributions at consecutive covariate levels or time points using separate, but dependent Polya tree priors, distributional information is pooled while allowing for broad pliability to accommodate many types of changing residual distributions. We can use the proposed dependent residual structure in a wide range of regression settings, including fixed-effects and mixed-effects linear and nonlinear models for cross-sectional, prospective, and repeated measurement data. A simulation study illustrates the flexibility of our novel semiparametric regression model to accurately capture evolving residual distributions. In an application to immune development data on immunoglobulin G antibodies in children, our new model outperforms several contemporary semiparametric regression models based on a predictive model selection criterion. Copyright © 2013 John Wiley & Sons, Ltd.
Is past life regression therapy ethical?
Andrade, Gabriel
2017-01-01
Past life regression therapy is used by some physicians in cases with some mental diseases. Anxiety disorders, mood disorders, and gender dysphoria have all been treated using life regression therapy by some doctors on the assumption that they reflect problems in past lives. Although it is not supported by psychiatric associations, few medical associations have actually condemned it as unethical. In this article, I argue that past life regression therapy is unethical for two basic reasons. First, it is not evidence-based. Past life regression is based on the reincarnation hypothesis, but this hypothesis is not supported by evidence, and in fact, it faces some insurmountable conceptual problems. If patients are not fully informed about these problems, they cannot provide an informed consent, and hence, the principle of autonomy is violated. Second, past life regression therapy has the great risk of implanting false memories in patients, and thus, causing significant harm. This is a violation of the principle of non-malfeasance, which is surely the most important principle in medical ethics.
POSITIVE PSYCHOLOGY: THE SCIENCE AND PRACTICE OF PSYCHOLOGY?
Directory of Open Access Journals (Sweden)
Julio Alfonso Piña López
2014-05-01
Full Text Available Positive psychology is not a science of psychology, because it lacks a specific subject matter as well as conceptual categories that theoretically represent it. Even more, it is not built on the foundations of a theory that would make it possible to translate scientific knowledge into technological knowledge, applicable to social problems in which the psychological dimension is relevant. We conclude that positive psychology is more than just a “good fashion” or “sympathetic magic”; it is, in essence, an unwarranted and fruitless attempt to give life to a new and very different psychology. In short, it is a conspicuous example of the illogic of logic.
Manitoba's School Psychology, Circa 2016
Mallin, Barry; Bednarczyk, George; Hanson, Dawn
2016-01-01
While the geographic landscape of Manitoba has changed very little since the last review of school psychology in Manitoba was published 15 years ago, the school psychology landscape here has changed considerably, and we continue to be alive, well, and flourishing. Two previous articles in the "Canadian Journal of School Psychology"…
Positive Psychology and Career Development
Robertson, Peter J.
2018-01-01
Positive psychology has been an influential movement within psychology in the early years of the twenty-first century. It is now timely to assess the value of its contribution to career education and guidance. This paper provides a critique of this perspective. Positive psychology can enrich approaches to career development. It can provide a…
Evolutionary Psychology and Intelligence Research
Kanazawa, Satoshi
2010-01-01
This article seeks to unify two subfields of psychology that have hitherto stood separately: evolutionary psychology and intelligence research/differential psychology. I suggest that general intelligence may simultaneously be an evolved adaptation and an individual-difference variable. Tooby and Cosmides's (1990a) notion of random quantitative…
Oedipal Issues in Counseling Psychology.
Thomas, Kenneth R.
1991-01-01
Analyzes current status of counseling psychology from perspective of Freudian, drive-structure theory. Argues that counseling psychology has committed classical response to oedipal conflict in its treatment of counselor education by identifying with aggressor (psychiatry and clinical psychology). Recommends more unified relationship between…
Realism, Relativism, and Evolutionary Psychology
Derksen, M.
Against recent attempts to forge a reconciliation between constructionism and realism, I contend that, in psychology at least, stirring up conflict is a more fruitful strategy. To illustrate this thesis, I confront a school of psychology with strong realist leanings, evolutionary psychology, with
Indigenisation of Psychology in India
Dalal, Ajit K.
2011-01-01
Academic psychology which made a new beginning in India in the early part of 20th century was modelled on the Western scientific tradition. The teaching of psychology was very much on the British pattern since the colonial rule, whereas the research was mostly an extension of the Western work in India. Psychology went through massive expansion…
Signature Strengths in Positive Psychology
Molony, Terry; Henwood, Maureen
2010-01-01
Positive psychology can be thought of as the scientific study of what is "right about people" as opposed to the traditional focus on the healing of psychological pain or trauma. The philosophical roots of positive psychology can be traced back to Confucianism, Taoism, Buddhism, Hinduism, Judaism, Christianity, as well as Islamic and Athenian…
Artificial Psychology: The Psychology of AI
Directory of Open Access Journals (Sweden)
James A. Crowder
2013-12-01
Full Text Available Having artificially intelligent machines that think, learn, reason, experience, and can function autonomously, without supervision, is one of the most intriguing goals in all of Computer Science. As the types of problems we would like machines to solve get more complex, it is becoming a necessary goal as well. One of the many problems associated with this goal is that what learning and reasoning are have so many possible meanings that the solution can easily get lost in the sea of opinions and options. The goal of this paper is to establish some foundational principles, theory, and concepts that we feel are the backbone of real, autonomous Artificial Intelligence. With this fully autonomous, learning, reasoning, artificially intelligent system (an artificial brain, comes the need to possess constructs in its hardware and software that mimic processes and subsystems that exist within the human brain, including intuitive and emotional memory concepts. Presented here is a discussion of the psychological constructs of artificial intelligence and how they might play out in an artificial mind.
Psychological well-being and psychological distress for professors in Brazil and Canada.
Directory of Open Access Journals (Sweden)
Ana Alice Vilas Boas
2014-12-01
Full Text Available Mental health, an important object of research in psychology as well as social psychology, can be determined by the relationship between psychological well-being and psychological distress. In this context, we search to understand: “How do compare mental health of professors working in public universities in an emerging country like Brazil with the one of professors working in a developed country like Canada?” and “What are the main differences in the indicators of mental health in work domain?”. This paper assesses psychological well-being and psychological distress for professors working in these two countries and test for their differences. The sample consists of 354 Brazilian professors and 317 Canadian professors. Data were collected through an on-line questionnaire assessing the following mental health indicators: anxiety, depression, loss of control, general positive affect and emotional ties. We compared the components of psychological distress and psychological well-being to analyse their relations. Additionally, we compared these components with work-life balance indicator. Reliability analyses demonstrated that all tested components are consistent to evaluate mental health. There are small mean differences between Brazilian and Canadian professors in all five components of mental health, but these differences are not statistically significant. Mean differences for work-life balance, gender, age, and bias of conformity are statistically different, although the size effects are small. Linear regression analysis, step by step, controlled for life events, showed that general positive affect, anxiety and emotional ties predict 31.5% of the scores of work-life balance. Additionally, we observed that Brazilian professors find more balance between professional and private life than do their Canadian colleagues. Promoting mental health is a challenge for public management sector, thus, public managers and governmental organizations can
On Solving Lq-Penalized Regressions
Directory of Open Access Journals (Sweden)
Tracy Zhou Wu
2007-01-01
Full Text Available Lq-penalized regression arises in multidimensional statistical modelling where all or part of the regression coefficients are penalized to achieve both accuracy and parsimony of statistical models. There is often substantial computational difficulty except for the quadratic penalty case. The difficulty is partly due to the nonsmoothness of the objective function inherited from the use of the absolute value. We propose a new solution method for the general Lq-penalized regression problem based on space transformation and thus efficient optimization algorithms. The new method has immediate applications in statistics, notably in penalized spline smoothing problems. In particular, the LASSO problem is shown to be polynomial time solvable. Numerical studies show promise of our approach.
Refractive regression after laser in situ keratomileusis.
Yan, Mabel K; Chang, John Sm; Chan, Tommy Cy
2018-04-26
Uncorrected refractive errors are a leading cause of visual impairment across the world. In today's society, laser in situ keratomileusis (LASIK) has become the most commonly performed surgical procedure to correct refractive errors. However, regression of the initially achieved refractive correction has been a widely observed phenomenon following LASIK since its inception more than two decades ago. Despite technological advances in laser refractive surgery and various proposed management strategies, post-LASIK regression is still frequently observed and has significant implications for the long-term visual performance and quality of life of patients. This review explores the mechanism of refractive regression after both myopic and hyperopic LASIK, predisposing risk factors and its clinical course. In addition, current preventative strategies and therapies are also reviewed. © 2018 Royal Australian and New Zealand College of Ophthalmologists.
Influence diagnostics in meta-regression model.
Shi, Lei; Zuo, ShanShan; Yu, Dalei; Zhou, Xiaohua
2017-09-01
This paper studies the influence diagnostics in meta-regression model including case deletion diagnostic and local influence analysis. We derive the subset deletion formulae for the estimation of regression coefficient and heterogeneity variance and obtain the corresponding influence measures. The DerSimonian and Laird estimation and maximum likelihood estimation methods in meta-regression are considered, respectively, to derive the results. Internal and external residual and leverage measure are defined. The local influence analysis based on case-weights perturbation scheme, responses perturbation scheme, covariate perturbation scheme, and within-variance perturbation scheme are explored. We introduce a method by simultaneous perturbing responses, covariate, and within-variance to obtain the local influence measure, which has an advantage of capable to compare the influence magnitude of influential studies from different perturbations. An example is used to illustrate the proposed methodology. Copyright © 2017 John Wiley & Sons, Ltd.
Principal component regression for crop yield estimation
Suryanarayana, T M V
2016-01-01
This book highlights the estimation of crop yield in Central Gujarat, especially with regard to the development of Multiple Regression Models and Principal Component Regression (PCR) models using climatological parameters as independent variables and crop yield as a dependent variable. It subsequently compares the multiple linear regression (MLR) and PCR results, and discusses the significance of PCR for crop yield estimation. In this context, the book also covers Principal Component Analysis (PCA), a statistical procedure used to reduce a number of correlated variables into a smaller number of uncorrelated variables called principal components (PC). This book will be helpful to the students and researchers, starting their works on climate and agriculture, mainly focussing on estimation models. The flow of chapters takes the readers in a smooth path, in understanding climate and weather and impact of climate change, and gradually proceeds towards downscaling techniques and then finally towards development of ...
Regression Models for Market-Shares
DEFF Research Database (Denmark)
Birch, Kristina; Olsen, Jørgen Kai; Tjur, Tue
2005-01-01
On the background of a data set of weekly sales and prices for three brands of coffee, this paper discusses various regression models and their relation to the multiplicative competitive-interaction model (the MCI model, see Cooper 1988, 1993) for market-shares. Emphasis is put on the interpretat......On the background of a data set of weekly sales and prices for three brands of coffee, this paper discusses various regression models and their relation to the multiplicative competitive-interaction model (the MCI model, see Cooper 1988, 1993) for market-shares. Emphasis is put...... on the interpretation of the parameters in relation to models for the total sales based on discrete choice models.Key words and phrases. MCI model, discrete choice model, market-shares, price elasitcity, regression model....
Normality in Analytical Psychology
Myers, Steve
2013-01-01
Although C.G. Jung’s interest in normality wavered throughout his career, it was one of the areas he identified in later life as worthy of further research. He began his career using a definition of normality which would have been the target of Foucault’s criticism, had Foucault chosen to review Jung’s work. However, Jung then evolved his thinking to a standpoint that was more aligned to Foucault’s own. Thereafter, the post Jungian concept of normality has remained relatively undeveloped by comparison with psychoanalysis and mainstream psychology. Jung’s disjecta membra on the subject suggest that, in contemporary analytical psychology, too much focus is placed on the process of individuation to the neglect of applications that consider collective processes. Also, there is potential for useful research and development into the nature of conflict between individuals and societies, and how normal people typically develop in relation to the spectrum between individuation and collectivity. PMID:25379262
2016-05-01
In May 2016, right around the time that this issue of the Hastings Center Report should be published, The Hastings Center is holding a conference in New York City titled "Bioethics Meets Moral Psychology." The goal of the conference is to consider the lessons that bioethicists should learn from the raft of literature now accumulating on how the mental processes of perception, emotion, and thinking affect things that bioethicists care about, from the education of health care professionals to the conflicts that arise in clinical care, the "culture wars" over bioethical policy issues, the status of different cultures' value systems, and the very understanding of the values that are foundational in moral thinking. The articles in this issue simply provide more evidence that bioethics is meeting moral psychology. © 2016 The Hastings Center.
The psychology of globalization.
Arnett, Jeffrey Jensen
2002-10-01
The influence of globalization on psychological functioning is examined. First, descriptions of how globalization is occurring in various world regions are presented. Then the psychological consequences of globalization are described, with a focus on identity issues. Specifically, it is argued that most people worldwide now develop a bicultural identity that combines their local identity with an identity linked to the global culture; that identity confusion may be increasing among young people in non-Western cultures as a result of globalization; that some people join self-selected cultures to maintain an identity that is separate from the global culture; and that a period of emerging adulthood increasingly extends identity explorations beyond adolescence, through the mid- to late twenties.
Traversing psychological distance.
Liberman, Nira; Trope, Yaacov
2014-07-01
Traversing psychological distance involves going beyond direct experience, and includes planning, perspective taking, and contemplating counterfactuals. Consistent with this view, temporal, spatial, and social distances as well as hypotheticality are associated, affect each other, and are inferred from one another. Moreover, traversing all distances involves the use of abstraction, which we define as forming a belief about the substitutability for a specific purpose of subjectively distinct objects. Indeed, across many instances of both abstraction and psychological distancing, more abstract constructs are used for more distal objects. Here, we describe the implications of this relation for prediction, choice, communication, negotiation, and self-control. We ask whether traversing distance is a general mental ability and whether distance should replace expectancy in expected-utility theories. Copyright © 2014 Elsevier Ltd. All rights reserved.
Environmental psychology matters.
Gifford, Robert
2014-01-01
Environmental psychology examines transactions between individuals and their built and natural environments. This includes investigating behaviors that inhibit or foster sustainable, climate-healthy, and nature-enhancing choices, the antecedents and correlates of those behaviors, and interventions to increase proenvironmental behavior. It also includes transactions in which nature provides restoration or inflicts stress, and transactions that are more mutual, such as the development of place attachment and identity and the impacts on and from important physical settings such as home, workplaces, schools, and public spaces. As people spend more time in virtual environments, online transactions are coming under increasing research attention. Every aspect of human existence occurs in one environment or another, and the transactions with and within them have important consequences both for people and their natural and built worlds. Environmental psychology matters.
On directional multiple-output quantile regression
Czech Academy of Sciences Publication Activity Database
Paindaveine, D.; Šiman, Miroslav
2011-01-01
Roč. 102, č. 2 (2011), s. 193-212 ISSN 0047-259X R&D Projects: GA MŠk(CZ) 1M06047 Grant - others:Commision EC(BE) Fonds National de la Recherche Scientifique Institutional research plan: CEZ:AV0Z10750506 Keywords : multivariate quantile * quantile regression * multiple-output regression * halfspace depth * portfolio optimization * value-at risk Subject RIV: BA - General Mathematics Impact factor: 0.879, year: 2011 http://library.utia.cas.cz/separaty/2011/SI/siman-0364128.pdf
Removing Malmquist bias from linear regressions
Verter, Frances
1993-01-01
Malmquist bias is present in all astronomical surveys where sources are observed above an apparent brightness threshold. Those sources which can be detected at progressively larger distances are progressively more limited to the intrinsically luminous portion of the true distribution. This bias does not distort any of the measurements, but distorts the sample composition. We have developed the first treatment to correct for Malmquist bias in linear regressions of astronomical data. A demonstration of the corrected linear regression that is computed in four steps is presented.
Robust median estimator in logisitc regression
Czech Academy of Sciences Publication Activity Database
Hobza, T.; Pardo, L.; Vajda, Igor
2008-01-01
Roč. 138, č. 12 (2008), s. 3822-3840 ISSN 0378-3758 R&D Projects: GA MŠk 1M0572 Grant - others:Instituto Nacional de Estadistica (ES) MPO FI - IM3/136; GA MŠk(CZ) MTM 2006-06872 Institutional research plan: CEZ:AV0Z10750506 Keywords : Logistic regression * Median * Robustness * Consistency and asymptotic normality * Morgenthaler * Bianco and Yohai * Croux and Hasellbroeck Subject RIV: BB - Applied Statistics, Operational Research Impact factor: 0.679, year: 2008 http://library.utia.cas.cz/separaty/2008/SI/vajda-robust%20median%20estimator%20in%20logistic%20regression.pdf
Criminal Psychological Profiling
1993-10-18
went through on their way to establishing mental health . These stages are the oral, the anal, and the phallic. In each stage, the developing human will... health professionals. These professionals then provided psychological insights, based on the clinical or the academic point of view. The FBI was now...then ordered her to lie face down on the bed. He then pulled down her lower garments and then fondled and masturbated on her bare buttocks. The
A Social Psychological Perspective:
DEFF Research Database (Denmark)
Singla, Rashmi; Westerling, Allan
2008-01-01
and a longitudinal approach, differences and similarities in practices of care are identified. The care patterns are studied with a focus on young adults age 30-35. Quantitative as well as qualitative methods are employed. By utilising in-depth qualitative interview data the paper explores the interplay between...... of agency with the changing societal structures and the diaspora context is confirmed. Key words: intergenerational care, individualisation, social network analysis, socio-cultural psychology, modernisation...
2007-12-14
and logistic support. 160. Kfir, N. (2002). Understanding suicidal terror through humanistic and existential psychology. C. E. Stout (Ed), The...anomie or for an existential vacuum, which may drive other individuals to drifting or to entering the drug culture. - To understand the differences...any group of prisoners is by definition ‘survivalist’, yet that of the Red Brigades has evolved through three phases ‘social’, ‘ existential ’ and
Demonstration of a Fiber Optic Regression Probe
Korman, Valentin; Polzin, Kurt A.
2010-01-01
The capability to provide localized, real-time monitoring of material regression rates in various applications has the potential to provide a new stream of data for development testing of various components and systems, as well as serving as a monitoring tool in flight applications. These applications include, but are not limited to, the regression of a combusting solid fuel surface, the ablation of the throat in a chemical rocket or the heat shield of an aeroshell, and the monitoring of erosion in long-life plasma thrusters. The rate of regression in the first application is very fast, while the second and third are increasingly slower. A recent fundamental sensor development effort has led to a novel regression, erosion, and ablation sensor technology (REAST). The REAST sensor allows for measurement of real-time surface erosion rates at a discrete surface location. The sensor is optical, using two different, co-located fiber-optics to perform the regression measurement. The disparate optical transmission properties of the two fiber-optics makes it possible to measure the regression rate by monitoring the relative light attenuation through the fibers. As the fibers regress along with the parent material in which they are embedded, the relative light intensities through the two fibers changes, providing a measure of the regression rate. The optical nature of the system makes it relatively easy to use in a variety of harsh, high temperature environments, and it is also unaffected by the presence of electric and magnetic fields. In addition, the sensor could be used to perform optical spectroscopy on the light emitted by a process and collected by fibers, giving localized measurements of various properties. The capability to perform an in-situ measurement of material regression rates is useful in addressing a variety of physical issues in various applications. An in-situ measurement allows for real-time data regarding the erosion rates, providing a quick method for
Biomechanical, anthropometric, and psychological determinants of barbell back squat strength.
Vigotsky, Andrew D; Bryanton, Megan A; Nuckols, Greg; Beardsley, Chris; Contreras, Bret; Evans, Jessica; Schoenfeld, Brad J
2018-02-27
Previous investigations of strength have only focused on biomechanical or psychological determinants, while ignoring the potential interplay and relative contributions of these variables. The purpose of this study was to investigate the relative contributions of biomechanical, anthropometric, and psychological variables to the prediction of maximum parallel barbell back squat strength. Twenty-one college-aged participants (male = 14; female = 7; age = 23 ± 3 years) reported to the laboratory for two visits. The first visit consisted of anthropometric, psychometric, and parallel barbell back squat one-repetition maximum (1RM) testing. On the second visit, participants performed isometric dynamometry testing for the knee, hip, and spinal extensors in a sticking point position-specific manner. Multiple linear regression and correlations were used to investigate the combined and individual relationships between biomechanical, anthropometric, and psychological variables and squat 1RM. Multiple regression revealed only one statistically predictive determinant: fat free mass normalized to height (standardized estimate ± SE = 0.6 ± 0.3; t(16) = 2.28; p = 0.037). Correlation coefficients for individual variables and squat 1RM ranged from r = -0.79-0.83, with biomechanical, anthropometric, experiential, and sex predictors showing the strongest relationships, and psychological variables displaying the weakest relationships. These data suggest that back squat strength in a heterogeneous population is multifactorial and more related to physical rather than psychological variables.
Innovative Behavior and Psychological Capital: Does Positivity Make any Difference
Directory of Open Access Journals (Sweden)
Yomna M. Sameer
2018-05-01
Full Text Available Aim/purpose - Despite increasing importance of fostering innovation among employees, and the growing interest in Positive Organizational Behaviour (POB constructs, little empirical research has been conducted on the topic of innovation with POB. Moreover, though research proved significant relationship between positive psychological capital (PsyCap and creative performance, no studies examined PsyCap with innovative behavior. Thus, the purpose of this paper is to examine the link between positive psychological capital and innovative behavior as well as the link between innovative behavior and job satisfaction as well as engagement. Design/methodology/approach - Using regression analyses, data were obtained from Egyptian professionals (N = 250. The survey included measures of psychological capital and innovative behavior as well as job satisfaction and engagement. Findings - Regression analyses reveal that PsyCap, with its four components of hope, optimism, resilience and efficacy, predict innovative behavior, which in turn affects satisfaction and engagement. Research implications/limitations - Limitations, contributions and recommendations for future research are noted. Results contribute to a better understanding of how psychological capital enhances Innovative behavior in the workplace, which in turns, enhances job satisfaction and engagement. Originality/value/contribution - The study is the first to examine the relationship between psychological capital and innovative behavior.(original abstract
Psychological impact of sports activity in spinal cord injury patients.
Gioia, M C; Cerasa, A; Di Lucente, L; Brunelli, S; Castellano, V; Traballesi, M
2006-12-01
To investigate whether sports activity is associated with better psychological profiles in patients with spinal cord injury (SCI) and to evaluate the effect of demographic factors on psychological benefits. The State-Trait Anxiety Inventory, Form X2 (STAI-X2), the Eysenck Personality Questionnaire for extraversion (EPQ-R (E)) and the questionnaire for depression (QD) were administered in a cross-sectional study of 137 males with spinal cord injury including 52 tetraplegics and 85 paraplegics. The subjects were divided into two groups according to sports activity participation (high frequency vs no sports participation). Moreover, multiple regression analysis was adopted to investigate the influence of demographic variables, such as age, educational level, occupational status and marital status, on psychological variables. Analysis of variance revealed significant differences among the groups for anxiety (STAI-X2), extraversion (EPQ-R (E)) and depression (QD). In particular, SCI patients who did not practice sports showed higher anxiety and depression scores and lower extraversion scores than sports participants. In addition, with respect to the paraplegics, the tetraplegic group showed the lowest depression scores. Following multiple regression analysis, only the sports activity factor remained as an independent factor of anxiety scores. These findings demonstrate that sports activity is associated with better psychological status in SCI patients, irrespective of tetraplegia and paraplegia, and that psychological benefits are not emphasized by demographic factors.
Zoer, Ilona; Sluiter, Judith K.; Frings-Dresen, Monique H. W.
2014-01-01
This study aimed to assess the psychological work characteristics and psychological workload of train drivers and to define the psychological and cognitive requirements of their work. A systematic literature search was performed, and expert interviews were conducted. The following work demands were
KELEŞ, Taliha; ALTUN, Murat
2016-01-01
Regression analysis is a statistical technique for investigating and modeling the relationship between variables. The purpose of this study was the trivial presentation of the equation for orthogonal regression (OR) and the comparison of classical linear regression (CLR) and OR techniques with respect to the sum of squared perpendicular distances. For that purpose, the analyses were shown by an example. It was found that the sum of squared perpendicular distances of OR is smaller. Thus, it wa...
Method for nonlinear exponential regression analysis
Junkin, B. G.
1972-01-01
Two computer programs developed according to two general types of exponential models for conducting nonlinear exponential regression analysis are described. Least squares procedure is used in which the nonlinear problem is linearized by expanding in a Taylor series. Program is written in FORTRAN 5 for the Univac 1108 computer.
Measurement Error in Education and Growth Regressions
Portela, Miguel; Alessie, Rob; Teulings, Coen
2010-01-01
The use of the perpetual inventory method for the construction of education data per country leads to systematic measurement error. This paper analyzes its effect on growth regressions. We suggest a methodology for correcting this error. The standard attenuation bias suggests that using these
The M Word: Multicollinearity in Multiple Regression.
Morrow-Howell, Nancy
1994-01-01
Notes that existence of substantial correlation between two or more independent variables creates problems of multicollinearity in multiple regression. Discusses multicollinearity problem in social work research in which independent variables are usually intercorrelated. Clarifies problems created by multicollinearity, explains detection of…
Regression Discontinuity Designs Based on Population Thresholds
DEFF Research Database (Denmark)
Eggers, Andrew C.; Freier, Ronny; Grembi, Veronica
In many countries, important features of municipal government (such as the electoral system, mayors' salaries, and the number of councillors) depend on whether the municipality is above or below arbitrary population thresholds. Several papers have used a regression discontinuity design (RDD...
Deriving the Regression Line with Algebra
Quintanilla, John A.
2017-01-01
Exploration with spreadsheets and reliance on previous skills can lead students to determine the line of best fit. To perform linear regression on a set of data, students in Algebra 2 (or, in principle, Algebra 1) do not have to settle for using the mysterious "black box" of their graphing calculators (or other classroom technologies).…
Piecewise linear regression splines with hyperbolic covariates
International Nuclear Information System (INIS)
Cologne, John B.; Sposto, Richard
1992-09-01
Consider the problem of fitting a curve to data that exhibit a multiphase linear response with smooth transitions between phases. We propose substituting hyperbolas as covariates in piecewise linear regression splines to obtain curves that are smoothly joined. The method provides an intuitive and easy way to extend the two-phase linear hyperbolic response model of Griffiths and Miller and Watts and Bacon to accommodate more than two linear segments. The resulting regression spline with hyperbolic covariates may be fit by nonlinear regression methods to estimate the degree of curvature between adjoining linear segments. The added complexity of fitting nonlinear, as opposed to linear, regression models is not great. The extra effort is particularly worthwhile when investigators are unwilling to assume that the slope of the response changes abruptly at the join points. We can also estimate the join points (the values of the abscissas where the linear segments would intersect if extrapolated) if their number and approximate locations may be presumed known. An example using data on changing age at menarche in a cohort of Japanese women illustrates the use of the method for exploratory data analysis. (author)
Targeting: Logistic Regression, Special Cases and Extensions
Directory of Open Access Journals (Sweden)
Helmut Schaeben
2014-12-01
Full Text Available Logistic regression is a classical linear model for logit-transformed conditional probabilities of a binary target variable. It recovers the true conditional probabilities if the joint distribution of predictors and the target is of log-linear form. Weights-of-evidence is an ordinary logistic regression with parameters equal to the differences of the weights of evidence if all predictor variables are discrete and conditionally independent given the target variable. The hypothesis of conditional independence can be tested in terms of log-linear models. If the assumption of conditional independence is violated, the application of weights-of-evidence does not only corrupt the predicted conditional probabilities, but also their rank transform. Logistic regression models, including the interaction terms, can account for the lack of conditional independence, appropriate interaction terms compensate exactly for violations of conditional independence. Multilayer artificial neural nets may be seen as nested regression-like models, with some sigmoidal activation function. Most often, the logistic function is used as the activation function. If the net topology, i.e., its control, is sufficiently versatile to mimic interaction terms, artificial neural nets are able to account for violations of conditional independence and yield very similar results. Weights-of-evidence cannot reasonably include interaction terms; subsequent modifications of the weights, as often suggested, cannot emulate the effect of interaction terms.
Functional data analysis of generalized regression quantiles
Guo, Mengmeng
2013-11-05
Generalized regression quantiles, including the conditional quantiles and expectiles as special cases, are useful alternatives to the conditional means for characterizing a conditional distribution, especially when the interest lies in the tails. We develop a functional data analysis approach to jointly estimate a family of generalized regression quantiles. Our approach assumes that the generalized regression quantiles share some common features that can be summarized by a small number of principal component functions. The principal component functions are modeled as splines and are estimated by minimizing a penalized asymmetric loss measure. An iterative least asymmetrically weighted squares algorithm is developed for computation. While separate estimation of individual generalized regression quantiles usually suffers from large variability due to lack of sufficient data, by borrowing strength across data sets, our joint estimation approach significantly improves the estimation efficiency, which is demonstrated in a simulation study. The proposed method is applied to data from 159 weather stations in China to obtain the generalized quantile curves of the volatility of the temperature at these stations. © 2013 Springer Science+Business Media New York.
Regression testing Ajax applications : Coping with dynamism
Roest, D.; Mesbah, A.; Van Deursen, A.
2009-01-01
Note: This paper is a pre-print of: Danny Roest, Ali Mesbah and Arie van Deursen. Regression Testing AJAX Applications: Coping with Dynamism. In Proceedings of the 3rd International Conference on Software Testing, Verification and Validation (ICST’10), Paris, France. IEEE Computer Society, 2010.
Group-wise partial least square regression
Camacho, José; Saccenti, Edoardo
2018-01-01
This paper introduces the group-wise partial least squares (GPLS) regression. GPLS is a new sparse PLS technique where the sparsity structure is defined in terms of groups of correlated variables, similarly to what is done in the related group-wise principal component analysis. These groups are
Functional data analysis of generalized regression quantiles
Guo, Mengmeng; Zhou, Lan; Huang, Jianhua Z.; Hä rdle, Wolfgang Karl
2013-01-01
Generalized regression quantiles, including the conditional quantiles and expectiles as special cases, are useful alternatives to the conditional means for characterizing a conditional distribution, especially when the interest lies in the tails. We develop a functional data analysis approach to jointly estimate a family of generalized regression quantiles. Our approach assumes that the generalized regression quantiles share some common features that can be summarized by a small number of principal component functions. The principal component functions are modeled as splines and are estimated by minimizing a penalized asymmetric loss measure. An iterative least asymmetrically weighted squares algorithm is developed for computation. While separate estimation of individual generalized regression quantiles usually suffers from large variability due to lack of sufficient data, by borrowing strength across data sets, our joint estimation approach significantly improves the estimation efficiency, which is demonstrated in a simulation study. The proposed method is applied to data from 159 weather stations in China to obtain the generalized quantile curves of the volatility of the temperature at these stations. © 2013 Springer Science+Business Media New York.
Finite Algorithms for Robust Linear Regression
DEFF Research Database (Denmark)
Madsen, Kaj; Nielsen, Hans Bruun
1990-01-01
The Huber M-estimator for robust linear regression is analyzed. Newton type methods for solution of the problem are defined and analyzed, and finite convergence is proved. Numerical experiments with a large number of test problems demonstrate efficiency and indicate that this kind of approach may...
Function approximation with polynomial regression slines
International Nuclear Information System (INIS)
Urbanski, P.
1996-01-01
Principles of the polynomial regression splines as well as algorithms and programs for their computation are presented. The programs prepared using software package MATLAB are generally intended for approximation of the X-ray spectra and can be applied in the multivariate calibration of radiometric gauges. (author)
Assessing risk factors for periodontitis using regression
Lobo Pereira, J. A.; Ferreira, Maria Cristina; Oliveira, Teresa
2013-10-01
Multivariate statistical analysis is indispensable to assess the associations and interactions between different factors and the risk of periodontitis. Among others, regression analysis is a statistical technique widely used in healthcare to investigate and model the relationship between variables. In our work we study the impact of socio-demographic, medical and behavioral factors on periodontal health. Using regression, linear and logistic models, we can assess the relevance, as risk factors for periodontitis disease, of the following independent variables (IVs): Age, Gender, Diabetic Status, Education, Smoking status and Plaque Index. The multiple linear regression analysis model was built to evaluate the influence of IVs on mean Attachment Loss (AL). Thus, the regression coefficients along with respective p-values will be obtained as well as the respective p-values from the significance tests. The classification of a case (individual) adopted in the logistic model was the extent of the destruction of periodontal tissues defined by an Attachment Loss greater than or equal to 4 mm in 25% (AL≥4mm/≥25%) of sites surveyed. The association measures include the Odds Ratios together with the correspondent 95% confidence intervals.
Predicting Social Trust with Binary Logistic Regression
Adwere-Boamah, Joseph; Hufstedler, Shirley
2015-01-01
This study used binary logistic regression to predict social trust with five demographic variables from a national sample of adult individuals who participated in The General Social Survey (GSS) in 2012. The five predictor variables were respondents' highest degree earned, race, sex, general happiness and the importance of personally assisting…
Yet another look at MIDAS regression
Ph.H.B.F. Franses (Philip Hans)
2016-01-01
textabstractA MIDAS regression involves a dependent variable observed at a low frequency and independent variables observed at a higher frequency. This paper relates a true high frequency data generating process, where also the dependent variable is observed (hypothetically) at the high frequency,
Revisiting Regression in Autism: Heller's "Dementia Infantilis"
Westphal, Alexander; Schelinski, Stefanie; Volkmar, Fred; Pelphrey, Kevin
2013-01-01
Theodor Heller first described a severe regression of adaptive function in normally developing children, something he termed dementia infantilis, over one 100 years ago. Dementia infantilis is most closely related to the modern diagnosis, childhood disintegrative disorder. We translate Heller's paper, Uber Dementia Infantilis, and discuss…
Fast multi-output relevance vector regression
Ha, Youngmin
2017-01-01
This paper aims to decrease the time complexity of multi-output relevance vector regression from O(VM^3) to O(V^3+M^3), where V is the number of output dimensions, M is the number of basis functions, and V
Regression Equations for Birth Weight Estimation using ...
African Journals Online (AJOL)
In this study, Birth Weight has been estimated from anthropometric measurements of hand and foot. Linear regression equations were formed from each of the measured variables. These simple equations can be used to estimate Birth Weight of new born babies, in order to identify those with low birth weight and referred to ...
Superquantile Regression: Theory, Algorithms, and Applications
2014-12-01
Highway, Suite 1204, Arlington, Va 22202-4302, and to the Office of Management and Budget, Paperwork Reduction Project (0704-0188) Washington DC 20503. 1...Navy submariners, reliability engineering, uncertainty quantification, and financial risk management . Superquantile, superquantile regression...Royset Carlos F. Borges Associate Professor of Operations Research Dissertation Supervisor Professor of Applied Mathematics Lyn R. Whitaker Javier
Measurement Error in Education and Growth Regressions
Portela, M.; Teulings, C.N.; Alessie, R.
The perpetual inventory method used for the construction of education data per country leads to systematic measurement error. This paper analyses the effect of this measurement error on GDP regressions. There is a systematic difference in the education level between census data and observations
Measurement error in education and growth regressions
Portela, Miguel; Teulings, Coen; Alessie, R.
2004-01-01
The perpetual inventory method used for the construction of education data per country leads to systematic measurement error. This paper analyses the effect of this measurement error on GDP regressions. There is a systematic difference in the education level between census data and observations
Panel data specifications in nonparametric kernel regression
DEFF Research Database (Denmark)
Czekaj, Tomasz Gerard; Henningsen, Arne
parametric panel data estimators to analyse the production technology of Polish crop farms. The results of our nonparametric kernel regressions generally differ from the estimates of the parametric models but they only slightly depend on the choice of the kernel functions. Based on economic reasoning, we...
transformation of independent variables in polynomial regression ...
African Journals Online (AJOL)
Ada
preferable when possible to work with a simple functional form in transformed variables rather than with a more complicated form in the original variables. In this paper, it is shown that linear transformations applied to independent variables in polynomial regression models affect the t ratio and hence the statistical ...
Multiple Linear Regression: A Realistic Reflector.
Nutt, A. T.; Batsell, R. R.
Examples of the use of Multiple Linear Regression (MLR) techniques are presented. This is done to show how MLR aids data processing and decision-making by providing the decision-maker with freedom in phrasing questions and by accurately reflecting the data on hand. A brief overview of the rationale underlying MLR is given, some basic definitions…
Exposure to firearm: impact on psychological health in central India
Directory of Open Access Journals (Sweden)
S Saxena
2013-12-01
Full Text Available Background: The issue of firearm exposure is one of the widespread prevailing problems in today’s world but at the same time it is least talked about. Its psychological effects vary from person to person and the degree of consequences has many variables to measure. The firearm exposure not only implies to an individual but also the whole gambit of social structures around him. Methods: A cross-section study on 505 subjects of the age group 20-45 years from central India was done, where routine social order depends upon massive armament of the citizen. We studied the relationship between socio-demographic variables and firearm exposure with variables of psychological domain of the WHOQOL-BREF. Multivariate logistic regression model was constructed to find the correlates among them. The objectives of the study were to study the attributes of socio demographic variables, which affects psychological health and exposure to firearms in the study population and to see the impact of exposure to firearms on psychological health. Results: Higher education is associated positively with psychological health. The desire to have a gun (OR=1.988, CI 1.306-3.024, p-value <.005 is showing a significant association with low psychological domain score of QOL. Being married (OR=.556, CI .344-.901, p-value <.005 and not Living in a joint family (OR=.581, CI .379-.891, p-value <.005 is associated with poor psychological health. Conclusions: Higher education is the best predictor for good psychological health. Semiskilled workers (farmers and laborers should be prioritized as high risk groups for adverse life situations. Firearm exposures have a significant impact on psychological health. So, policies directed at rural population should target at specific needs of community.
Exposure to firearm: impact on psychological health in central India
Directory of Open Access Journals (Sweden)
S Saxena
2013-12-01
Full Text Available Background: The issue of firearm exposure is one of the widespread prevailing problems in today’s world but at the same time it is least talked about. Its psychological effects vary from person to person and the degree of consequences has many variables to measure. The firearm exposure not only implies to an individual but also the whole gambit of social structures around him. Methods: A cross-section study on 505 subjects of the age group 20-45 years from central India was done, where routine social order depends upon massive armament of the citizen. We studied the relationship between socio-demographic variables and firearm exposure with variables of psychological domain of the WHOQOL-BREF. Multivariate logistic regression model was constructed to find the correlates among them. The objectives of the study were to study the attributes of socio demographic variables, which affects psychological health and exposure to firearms in the study population and to see the impact of exposure to firearms on psychological health. Results: Higher education is associated positively with psychological health. The desire to have a gun (OR=1.988, CI 1.306-3.024, p-value <.005 is showing a significant association with low psychological domain score of QOL. Being married (OR=.556, CI .344-.901, p-value <.005 and not Living in a joint family (OR=.581, CI .379-.891, p-value <.005 is associated with poor psychological health. Conclusions: Higher education is the best predictor for good psychological health. Semiskilled workers (farmers and laborers should be prioritized as high risk groups for adverse life situations. Firearm exposures have a significant impact on psychological health. So, policies directed at rural population should target at specific needs of community.
Psychological distress of female caregivers of significant others with cancer
Directory of Open Access Journals (Sweden)
Tony Cassidy
2015-12-01
Full Text Available This study explored the role of time since diagnosis and whether the care recipient was a child, a parent, or a spouse, on caregiver’s perceptions of the caring role, with a group of 269 female cancer caregivers. Questionnaire measures were used to explore psychological and social resources and psychological distress. Analysis of variance and hierarchical multiple regression were used and identified significant effects of time since diagnosis and care recipient. This study concludes that a more tailored approach to understanding the needs of caregivers is required particularly in terms of time since diagnosis and care recipient, in order to provide more effective support.
Lin, Yingzhi; Deng, Xiangzheng; Li, Xing; Ma, Enjun
2014-12-01
Spatially explicit simulation of land use change is the basis for estimating the effects of land use and cover change on energy fluxes, ecology and the environment. At the pixel level, logistic regression is one of the most common approaches used in spatially explicit land use allocation models to determine the relationship between land use and its causal factors in driving land use change, and thereby to evaluate land use suitability. However, these models have a drawback in that they do not determine/allocate land use based on the direct relationship between land use change and its driving factors. Consequently, a multinomial logistic regression method was introduced to address this flaw, and thereby, judge the suitability of a type of land use in any given pixel in a case study area of the Jiangxi Province, China. A comparison of the two regression methods indicated that the proportion of correctly allocated pixels using multinomial logistic regression was 92.98%, which was 8.47% higher than that obtained using logistic regression. Paired t-test results also showed that pixels were more clearly distinguished by multinomial logistic regression than by logistic regression. In conclusion, multinomial logistic regression is a more efficient and accurate method for the spatial allocation of land use changes. The application of this method in future land use change studies may improve the accuracy of predicting the effects of land use and cover change on energy fluxes, ecology, and environment.
Credentialing high school psychology teachers.
Weaver, Kenneth A
2014-09-01
The National Standards for High School Psychology Curricula (American Psychological Association, 2013b) require a teacher with considerable psychology content knowledge to teach high school psychology courses effectively. In this study, I examined the initial teaching credential requirements for high school psychology teachers in the 50 states plus the District of Columbia. Thirty-four states (the District of Columbia is included as a state) require the social studies credential to teach high school psychology. An analysis of the items on standardized tests used by states to validate the content knowledge required to teach social studies indicates little or no presence of psychology, a reflection of psychology's meager presence in the social studies teacher preparation curricula. Thus, new teachers with the social studies teaching credential are not prepared to teach high school psychology according to the National Standards. Approval of The College, Career, and Civic Life (C3) Framework for Social Studies State Standards: Guidance for Enhancing the Rigor of K-12 Civics, Economics, Geography, and History (National Council for the Social Studies, 2013) presents an opportunity to advocate for establishing a psychology credential in the 34 states. (c) 2014 APA, all rights reserved.
Weidman, Nadine
2016-02-01
The editor of History of Psychology discusses her plan to vary the journal's content and expand its scope in specific ways. The first is to introduce a "Spotlight" feature, a relatively brief, provocative thought piece that might take one of several forms. Along with this new feature, she hopes further to broaden the journal's coverage and its range of contributors. She encourages submissions on the history of the psy-sciences off the beaten path. Finally, she plans to continue the journal's tradition of special issues, special sections, and essay reviews of two or more important recently published books in the field. (PsycINFO Database Record (c) 2016 APA, all rights reserved).
Chiu, Chi-Yue; Kwan, Letty Yan-Yee
2016-04-01
In globalized societies, people often encounter symbols of diverse cultures in the same space at the same time. Simultaneous exposure to diverse cultures draws people's attention to cultural differences and promotes catergorical perceptions of culture. Local cultural identification and presence of cultural threat increase the likelihood of resisting inflow of foreign cultures (exclusionary reactions). When cultures are seen as intellectual resources, foreign cultural exposure affords intercultural learning and enhances individual creativity (integrative reactions). Psychological studies of globalization attest to the utility of treating cultures as evolving, interacting systems, rather than static, independent entities. Copyright © 2015 Elsevier Ltd. All rights reserved.
Qualitative Research in Psychology
Directory of Open Access Journals (Sweden)
Fattah Hanurawan
2013-02-01
Full Text Available Abstract:Qualitative research is a research method studying subjective meaning of participant’s world about an object researched. Steps of qualitative research in psychology are: researchers select research topic, researchers formulate research questions, researchers design the study, researchers collect data, researchers analyses data, researchers generate findings, researchers validate findings, and researchers write research report. Some of the qualitative research designs are grounded research, phenomenology research, case study research, and ethnography research. In some situations, researchers often meet questions that reach beyond the prescription of the APA ethical guidelines concerning human participants. Researchers of qualitative research in psychology can generalize their research findings to other people, times, or treatments to the degree to which they are similar to other people, times, or treatments in the original research (naturalistic generalization. There are some strategies for expanding qualitative research as a research approach so the methodology can be accepted as one significant method in understanding psychological phenomena. Keywords:qualitative research, psychology.
Will Happiness Improve the Psychological Integration of Migrant Workers?
Li, Tian-Cheng; Chu, Chien-Chi; Meng, Fan-Cun; Li, Qin; Mo, Di; Li, Bin; Tsai, Sang-Bing
2018-05-03
Happiness is a major factor that influences people’s perceptions and behavior. Two-stage least squares regression was applied to investigate the effect of happiness on the psychological integration of migrant workers in China. The data for a total of 1625 individuals were obtained from the 2014 China Labor-force Dynamics Survey (CLDS). This study describes happiness from three main aspects: happiness, life satisfaction, and economic satisfaction. The psychological integration includes two dimensions of settlement willingness, and trust level; these have gone through dimension-reduced processing by using the weighted average method. The empirical evidence shows, first, that happiness has a significantly positive effect on the psychological integration of migrant workers and second, that the sense of life satisfaction in particular plays a more significant role. The acceleration of the social and political integration in migrant workers will enhance their psychological integration. Additionally, social, cultural and economic integration is found to influence migrant workers’ psychological integration by promoting happiness. Happiness between different generations of migrant workers was found to have a noticeably positive impact on their psychological integration; however, the happiness of the younger migrant workers was more perceivable than that of the other generations. Preferential policies should therefore be provided to improve the happiness of migrant workers.
Will Happiness Improve the Psychological Integration of Migrant Workers?
Li, Qin; Mo, Di; Li, Bin
2018-01-01
Happiness is a major factor that influences people’s perceptions and behavior. Two-stage least squares regression was applied to investigate the effect of happiness on the psychological integration of migrant workers in China. The data for a total of 1625 individuals were obtained from the 2014 China Labor-force Dynamics Survey (CLDS). This study describes happiness from three main aspects: happiness, life satisfaction, and economic satisfaction. The psychological integration includes two dimensions of settlement willingness, and trust level; these have gone through dimension-reduced processing by using the weighted average method. The empirical evidence shows, first, that happiness has a significantly positive effect on the psychological integration of migrant workers and second, that the sense of life satisfaction in particular plays a more significant role. The acceleration of the social and political integration in migrant workers will enhance their psychological integration. Additionally, social, cultural and economic integration is found to influence migrant workers’ psychological integration by promoting happiness. Happiness between different generations of migrant workers was found to have a noticeably positive impact on their psychological integration; however, the happiness of the younger migrant workers was more perceivable than that of the other generations. Preferential policies should therefore be provided to improve the happiness of migrant workers. PMID:29751489
Illness beliefs and psychological outcome in people with Parkinson's disease.
Simpson, Jane; Lekwuwa, Godwin; Crawford, Trevor
2013-06-01
Illness beliefs are important predictors of psychological outcome in people with chronic illness and evidence suggests these could also be significant in furthering our understanding of psychological functioning in people with Parkinson's disease. Illness beliefs are specific, dynamic representations of an illness and cover dimensions such as cause, identity, consequences and controllability. Eighty-one people with Parkinson's disease completed a series of questionnaires to provide demographic, clinical and psychosocial data, which were then used to assess the relative impact of illness beliefs on their psychological functioning. Psychological functioning was assessed by measuring levels of depression, anxiety, stress, positive affect and emotional well-being. Hierarchical block regression indicated that illness beliefs were important independent predictors across some but not all outcomes and the results emphasised the importance of testing new predictors against more established predictors of outcome such as physical functioning and self-esteem. The illness beliefs most important in psychological outcome in people with PD were causal beliefs (particularly in psychosocial causes) and illness coherence (the level of understanding of the illness). The therapeutic potential of psychosocial variables was discussed given that these can be modified during therapy and this change can positively influence psychological outcome.
Enhancing Road Safety Behaviour Using a Psychological and Spiritual Approaches
Directory of Open Access Journals (Sweden)
Ghous Mohd Tarmizi
2017-01-01
Full Text Available Main causes of accident is due to driver itself that is influenced by their bad attitude while driving. Human attitude is closely related to the human psychology. Apart from that, spiritual aspect also influence human attitude. Hence, this study carried out to improve driver safety using a new approach through psychology and spiritual factors. Objectives of this study are to identify then analyze factors of psychological and spiritual that contribute towards safety driving. A self-administered questionnaire were distributed among 256 respondents from various type of background. An analysis descriptive statistics show demographic and experience of respondents. Chi-square analysis showed only education level and traffic summon are significant to safety driving. Furthermore, correlation analysis shows psychological factors has strong linear relationship on attitude of drivers towards safety driving while spiritual factor, the perception of the spiritual and practices, both have a strong relationship to safety driving. Regression analysis demonstrates boths psychological and spiritual factors have strong evidence and significant relationship with safety driving. Thus, it can be identified that spiritual psychological factors encourage drivers to drive more safely and reduce road accidents. Therefore, this study propose useful guidelines to related agencies in order to enhance safety among drivers to be able drive safely on the road.
Vaeth, Michael; Skovlund, Eva
2004-06-15
For a given regression problem it is possible to identify a suitably defined equivalent two-sample problem such that the power or sample size obtained for the two-sample problem also applies to the regression problem. For a standard linear regression model the equivalent two-sample problem is easily identified, but for generalized linear models and for Cox regression models the situation is more complicated. An approximately equivalent two-sample problem may, however, also be identified here. In particular, we show that for logistic regression and Cox regression models the equivalent two-sample problem is obtained by selecting two equally sized samples for which the parameters differ by a value equal to the slope times twice the standard deviation of the independent variable and further requiring that the overall expected number of events is unchanged. In a simulation study we examine the validity of this approach to power calculations in logistic regression and Cox regression models. Several different covariate distributions are considered for selected values of the overall response probability and a range of alternatives. For the Cox regression model we consider both constant and non-constant hazard rates. The results show that in general the approach is remarkably accurate even in relatively small samples. Some discrepancies are, however, found in small samples with few events and a highly skewed covariate distribution. Comparison with results based on alternative methods for logistic regression models with a single continuous covariate indicates that the proposed method is at least as good as its competitors. The method is easy to implement and therefore provides a simple way to extend the range of problems that can be covered by the usual formulas for power and sample size determination. Copyright 2004 John Wiley & Sons, Ltd.
Controlling attribute effect in linear regression
Calders, Toon; Karim, Asim A.; Kamiran, Faisal; Ali, Wasif Mohammad; Zhang, Xiangliang
2013-01-01
In data mining we often have to learn from biased data, because, for instance, data comes from different batches or there was a gender or racial bias in the collection of social data. In some applications it may be necessary to explicitly control this bias in the models we learn from the data. This paper is the first to study learning linear regression models under constraints that control the biasing effect of a given attribute such as gender or batch number. We show how propensity modeling can be used for factoring out the part of the bias that can be justified by externally provided explanatory attributes. Then we analytically derive linear models that minimize squared error while controlling the bias by imposing constraints on the mean outcome or residuals of the models. Experiments with discrimination-aware crime prediction and batch effect normalization tasks show that the proposed techniques are successful in controlling attribute effects in linear regression models. © 2013 IEEE.
Stochastic development regression using method of moments
DEFF Research Database (Denmark)
Kühnel, Line; Sommer, Stefan Horst
2017-01-01
This paper considers the estimation problem arising when inferring parameters in the stochastic development regression model for manifold valued non-linear data. Stochastic development regression captures the relation between manifold-valued response and Euclidean covariate variables using...... the stochastic development construction. It is thereby able to incorporate several covariate variables and random effects. The model is intrinsically defined using the connection of the manifold, and the use of stochastic development avoids linearizing the geometry. We propose to infer parameters using...... the Method of Moments procedure that matches known constraints on moments of the observations conditional on the latent variables. The performance of the model is investigated in a simulation example using data on finite dimensional landmark manifolds....
Beta-binomial regression and bimodal utilization.
Liu, Chuan-Fen; Burgess, James F; Manning, Willard G; Maciejewski, Matthew L
2013-10-01
To illustrate how the analysis of bimodal U-shaped distributed utilization can be modeled with beta-binomial regression, which is rarely used in health services research. Veterans Affairs (VA) administrative data and Medicare claims in 2001-2004 for 11,123 Medicare-eligible VA primary care users in 2000. We compared means and distributions of VA reliance (the proportion of all VA/Medicare primary care visits occurring in VA) predicted from beta-binomial, binomial, and ordinary least-squares (OLS) models. Beta-binomial model fits the bimodal distribution of VA reliance better than binomial and OLS models due to the nondependence on normality and the greater flexibility in shape parameters. Increased awareness of beta-binomial regression may help analysts apply appropriate methods to outcomes with bimodal or U-shaped distributions. © Health Research and Educational Trust.
Testing homogeneity in Weibull-regression models.
Bolfarine, Heleno; Valença, Dione M
2005-10-01
In survival studies with families or geographical units it may be of interest testing whether such groups are homogeneous for given explanatory variables. In this paper we consider score type tests for group homogeneity based on a mixing model in which the group effect is modelled as a random variable. As opposed to hazard-based frailty models, this model presents survival times that conditioned on the random effect, has an accelerated failure time representation. The test statistics requires only estimation of the conventional regression model without the random effect and does not require specifying the distribution of the random effect. The tests are derived for a Weibull regression model and in the uncensored situation, a closed form is obtained for the test statistic. A simulation study is used for comparing the power of the tests. The proposed tests are applied to real data sets with censored data.
Are increases in cigarette taxation regressive?
Borren, P; Sutton, M
1992-12-01
Using the latest published data from Tobacco Advisory Council surveys, this paper re-evaluates the question of whether or not increases in cigarette taxation are regressive in the United Kingdom. The extended data set shows no evidence of increasing price-elasticity by social class as found in a major previous study. To the contrary, there appears to be no clear pattern in the price responsiveness of smoking behaviour across different social classes. Increases in cigarette taxation, while reducing smoking levels in all groups, fall most heavily on men and women in the lowest social class. Men and women in social class five can expect to pay eight and eleven times more of a tax increase respectively, than their social class one counterparts. Taken as a proportion of relative incomes, the regressive nature of increases in cigarette taxation is even more pronounced.
Controlling attribute effect in linear regression
Calders, Toon
2013-12-01
In data mining we often have to learn from biased data, because, for instance, data comes from different batches or there was a gender or racial bias in the collection of social data. In some applications it may be necessary to explicitly control this bias in the models we learn from the data. This paper is the first to study learning linear regression models under constraints that control the biasing effect of a given attribute such as gender or batch number. We show how propensity modeling can be used for factoring out the part of the bias that can be justified by externally provided explanatory attributes. Then we analytically derive linear models that minimize squared error while controlling the bias by imposing constraints on the mean outcome or residuals of the models. Experiments with discrimination-aware crime prediction and batch effect normalization tasks show that the proposed techniques are successful in controlling attribute effects in linear regression models. © 2013 IEEE.
Regression Models For Multivariate Count Data.
Zhang, Yiwen; Zhou, Hua; Zhou, Jin; Sun, Wei
2017-01-01
Data with multivariate count responses frequently occur in modern applications. The commonly used multinomial-logit model is limiting due to its restrictive mean-variance structure. For instance, analyzing count data from the recent RNA-seq technology by the multinomial-logit model leads to serious errors in hypothesis testing. The ubiquity of over-dispersion and complicated correlation structures among multivariate counts calls for more flexible regression models. In this article, we study some generalized linear models that incorporate various correlation structures among the counts. Current literature lacks a treatment of these models, partly due to the fact that they do not belong to the natural exponential family. We study the estimation, testing, and variable selection for these models in a unifying framework. The regression models are compared on both synthetic and real RNA-seq data.
Model selection in kernel ridge regression
DEFF Research Database (Denmark)
Exterkate, Peter
2013-01-01
Kernel ridge regression is a technique to perform ridge regression with a potentially infinite number of nonlinear transformations of the independent variables as regressors. This method is gaining popularity as a data-rich nonlinear forecasting tool, which is applicable in many different contexts....... The influence of the choice of kernel and the setting of tuning parameters on forecast accuracy is investigated. Several popular kernels are reviewed, including polynomial kernels, the Gaussian kernel, and the Sinc kernel. The latter two kernels are interpreted in terms of their smoothing properties......, and the tuning parameters associated to all these kernels are related to smoothness measures of the prediction function and to the signal-to-noise ratio. Based on these interpretations, guidelines are provided for selecting the tuning parameters from small grids using cross-validation. A Monte Carlo study...
Confidence bands for inverse regression models
International Nuclear Information System (INIS)
Birke, Melanie; Bissantz, Nicolai; Holzmann, Hajo
2010-01-01
We construct uniform confidence bands for the regression function in inverse, homoscedastic regression models with convolution-type operators. Here, the convolution is between two non-periodic functions on the whole real line rather than between two periodic functions on a compact interval, since the former situation arguably arises more often in applications. First, following Bickel and Rosenblatt (1973 Ann. Stat. 1 1071–95) we construct asymptotic confidence bands which are based on strong approximations and on a limit theorem for the supremum of a stationary Gaussian process. Further, we propose bootstrap confidence bands based on the residual bootstrap and prove consistency of the bootstrap procedure. A simulation study shows that the bootstrap confidence bands perform reasonably well for moderate sample sizes. Finally, we apply our method to data from a gel electrophoresis experiment with genetically engineered neuronal receptor subunits incubated with rat brain extract
The nature and psychological content of information psychological impact
Directory of Open Access Journals (Sweden)
Evgeny G. Baranov
2017-03-01
Full Text Available The paper presents the results of theoretical analysis of «information-psychological impact» category. The study aims to determine the role and place of impacts of such kind in the upbringing process, and in education in general. The paper contrasts comparative analysis of existing scientific approaches to understanding the nature and psychological content of the concept of “information” and psychological impact. Based on the data mentioned above, the conclusion is made that the psychological impact is the influence of surrounding elements of the physical and social environment on the people, which change the course of their mental processes, mental state, psychological structure of consciousness and behaviour. In addition, the purposeful psychological impact carried out either by an individual or a collective entity can be direct or indirect (e.g. information psychological. Based on the performed analysis the conclusion is made that depending on their purpose and nature of influence, information and psychological impact can be manipulative (subject-object or developmental (subject-subject. Manipulative impact creates temporary, unstable mental forms, while developing impact creates stable personality forms. Both kinds of information and psychological influences can be observes in the educational process. The teacher selects types of influence based on his/her own pedagogical qualifications and teaching objectives: to develop the personality of the student or to form behavioural stereotypes.
Regressing Atherosclerosis by Resolving Plaque Inflammation
2017-07-01
regression requires the alteration of macrophages in the plaques to a tissue repair “alternatively” activated state. This switch in activation state... tissue repair “alternatively” activated state. This switch in activation state requires the action of TH2 cytokines interleukin (IL)-4 or IL-13. To...regulation of tissue macrophage and dendritic cell population dynamics by CSF-1. J Exp Med. 2011;208(9):1901–1916. 35. Xu H, Exner BG, Chilton PM
Determination of regression laws: Linear and nonlinear
International Nuclear Information System (INIS)
Onishchenko, A.M.
1994-01-01
A detailed mathematical determination of regression laws is presented in the article. Particular emphasis is place on determining the laws of X j on X l to account for source nuclei decay and detector errors in nuclear physics instrumentation. Both linear and nonlinear relations are presented. Linearization of 19 functions is tabulated, including graph, relation, variable substitution, obtained linear function, and remarks. 6 refs., 1 tab
Directional quantile regression in Octave (and MATLAB)
Czech Academy of Sciences Publication Activity Database
Boček, Pavel; Šiman, Miroslav
2016-01-01
Roč. 52, č. 1 (2016), s. 28-51 ISSN 0023-5954 R&D Projects: GA ČR GA14-07234S Institutional support: RVO:67985556 Keywords : quantile regression * multivariate quantile * depth contour * Matlab Subject RIV: IN - Informatics, Computer Science Impact factor: 0.379, year: 2016 http://library.utia.cas.cz/separaty/2016/SI/bocek-0458380.pdf
Logistic regression a self-learning text
Kleinbaum, David G
1994-01-01
This textbook provides students and professionals in the health sciences with a presentation of the use of logistic regression in research. The text is self-contained, and designed to be used both in class or as a tool for self-study. It arises from the author's many years of experience teaching this material and the notes on which it is based have been extensively used throughout the world.
Multitask Quantile Regression under the Transnormal Model.
Fan, Jianqing; Xue, Lingzhou; Zou, Hui
2016-01-01
We consider estimating multi-task quantile regression under the transnormal model, with focus on high-dimensional setting. We derive a surprisingly simple closed-form solution through rank-based covariance regularization. In particular, we propose the rank-based ℓ 1 penalization with positive definite constraints for estimating sparse covariance matrices, and the rank-based banded Cholesky decomposition regularization for estimating banded precision matrices. By taking advantage of alternating direction method of multipliers, nearest correlation matrix projection is introduced that inherits sampling properties of the unprojected one. Our work combines strengths of quantile regression and rank-based covariance regularization to simultaneously deal with nonlinearity and nonnormality for high-dimensional regression. Furthermore, the proposed method strikes a good balance between robustness and efficiency, achieves the "oracle"-like convergence rate, and provides the provable prediction interval under the high-dimensional setting. The finite-sample performance of the proposed method is also examined. The performance of our proposed rank-based method is demonstrated in a real application to analyze the protein mass spectroscopy data.
Complex regression Doppler optical coherence tomography
Elahi, Sahar; Gu, Shi; Thrane, Lars; Rollins, Andrew M.; Jenkins, Michael W.
2018-04-01
We introduce a new method to measure Doppler shifts more accurately and extend the dynamic range of Doppler optical coherence tomography (OCT). The two-point estimate of the conventional Doppler method is replaced with a regression that is applied to high-density B-scans in polar coordinates. We built a high-speed OCT system using a 1.68-MHz Fourier domain mode locked laser to acquire high-density B-scans (16,000 A-lines) at high enough frame rates (˜100 fps) to accurately capture the dynamics of the beating embryonic heart. Flow phantom experiments confirm that the complex regression lowers the minimum detectable velocity from 12.25 mm / s to 374 μm / s, whereas the maximum velocity of 400 mm / s is measured without phase wrapping. Complex regression Doppler OCT also demonstrates higher accuracy and precision compared with the conventional method, particularly when signal-to-noise ratio is low. The extended dynamic range allows monitoring of blood flow over several stages of development in embryos without adjusting the imaging parameters. In addition, applying complex averaging recovers hidden features in structural images.
Linear regression and the normality assumption.
Schmidt, Amand F; Finan, Chris
2017-12-16
Researchers often perform arbitrary outcome transformations to fulfill the normality assumption of a linear regression model. This commentary explains and illustrates that in large data settings, such transformations are often unnecessary, and worse may bias model estimates. Linear regression assumptions are illustrated using simulated data and an empirical example on the relation between time since type 2 diabetes diagnosis and glycated hemoglobin levels. Simulation results were evaluated on coverage; i.e., the number of times the 95% confidence interval included the true slope coefficient. Although outcome transformations bias point estimates, violations of the normality assumption in linear regression analyses do not. The normality assumption is necessary to unbiasedly estimate standard errors, and hence confidence intervals and P-values. However, in large sample sizes (e.g., where the number of observations per variable is >10) violations of this normality assumption often do not noticeably impact results. Contrary to this, assumptions on, the parametric model, absence of extreme observations, homoscedasticity, and independency of the errors, remain influential even in large sample size settings. Given that modern healthcare research typically includes thousands of subjects focusing on the normality assumption is often unnecessary, does not guarantee valid results, and worse may bias estimates due to the practice of outcome transformations. Copyright © 2017 Elsevier Inc. All rights reserved.
Satellite rainfall retrieval by logistic regression
Chiu, Long S.
1986-01-01
The potential use of logistic regression in rainfall estimation from satellite measurements is investigated. Satellite measurements provide covariate information in terms of radiances from different remote sensors.The logistic regression technique can effectively accommodate many covariates and test their significance in the estimation. The outcome from the logistical model is the probability that the rainrate of a satellite pixel is above a certain threshold. By varying the thresholds, a rainrate histogram can be obtained, from which the mean and the variant can be estimated. A logistical model is developed and applied to rainfall data collected during GATE, using as covariates the fractional rain area and a radiance measurement which is deduced from a microwave temperature-rainrate relation. It is demonstrated that the fractional rain area is an important covariate in the model, consistent with the use of the so-called Area Time Integral in estimating total rain volume in other studies. To calibrate the logistical model, simulated rain fields generated by rainfield models with prescribed parameters are needed. A stringent test of the logistical model is its ability to recover the prescribed parameters of simulated rain fields. A rain field simulation model which preserves the fractional rain area and lognormality of rainrates as found in GATE is developed. A stochastic regression model of branching and immigration whose solutions are lognormally distributed in some asymptotic limits has also been developed.
Bayesian Inference of a Multivariate Regression Model
Directory of Open Access Journals (Sweden)
Marick S. Sinay
2014-01-01
Full Text Available We explore Bayesian inference of a multivariate linear regression model with use of a flexible prior for the covariance structure. The commonly adopted Bayesian setup involves the conjugate prior, multivariate normal distribution for the regression coefficients and inverse Wishart specification for the covariance matrix. Here we depart from this approach and propose a novel Bayesian estimator for the covariance. A multivariate normal prior for the unique elements of the matrix logarithm of the covariance matrix is considered. Such structure allows for a richer class of prior distributions for the covariance, with respect to strength of beliefs in prior location hyperparameters, as well as the added ability, to model potential correlation amongst the covariance structure. The posterior moments of all relevant parameters of interest are calculated based upon numerical results via a Markov chain Monte Carlo procedure. The Metropolis-Hastings-within-Gibbs algorithm is invoked to account for the construction of a proposal density that closely matches the shape of the target posterior distribution. As an application of the proposed technique, we investigate a multiple regression based upon the 1980 High School and Beyond Survey.
Modeling oil production based on symbolic regression
International Nuclear Information System (INIS)
Yang, Guangfei; Li, Xianneng; Wang, Jianliang; Lian, Lian; Ma, Tieju
2015-01-01
Numerous models have been proposed to forecast the future trends of oil production and almost all of them are based on some predefined assumptions with various uncertainties. In this study, we propose a novel data-driven approach that uses symbolic regression to model oil production. We validate our approach on both synthetic and real data, and the results prove that symbolic regression could effectively identify the true models beneath the oil production data and also make reliable predictions. Symbolic regression indicates that world oil production will peak in 2021, which broadly agrees with other techniques used by researchers. Our results also show that the rate of decline after the peak is almost half the rate of increase before the peak, and it takes nearly 12 years to drop 4% from the peak. These predictions are more optimistic than those in several other reports, and the smoother decline will provide the world, especially the developing countries, with more time to orchestrate mitigation plans. -- Highlights: •A data-driven approach has been shown to be effective at modeling the oil production. •The Hubbert model could be discovered automatically from data. •The peak of world oil production is predicted to appear in 2021. •The decline rate after peak is half of the increase rate before peak. •Oil production projected to decline 4% post-peak
Face Alignment via Regressing Local Binary Features.
Ren, Shaoqing; Cao, Xudong; Wei, Yichen; Sun, Jian
2016-03-01
This paper presents a highly efficient and accurate regression approach for face alignment. Our approach has two novel components: 1) a set of local binary features and 2) a locality principle for learning those features. The locality principle guides us to learn a set of highly discriminative local binary features for each facial landmark independently. The obtained local binary features are used to jointly learn a linear regression for the final output. This approach achieves the state-of-the-art results when tested on the most challenging benchmarks to date. Furthermore, because extracting and regressing local binary features are computationally very cheap, our system is much faster than previous methods. It achieves over 3000 frames per second (FPS) on a desktop or 300 FPS on a mobile phone for locating a few dozens of landmarks. We also study a key issue that is important but has received little attention in the previous research, which is the face detector used to initialize alignment. We investigate several face detectors and perform quantitative evaluation on how they affect alignment accuracy. We find that an alignment friendly detector can further greatly boost the accuracy of our alignment method, reducing the error up to 16% relatively. To facilitate practical usage of face detection/alignment methods, we also propose a convenient metric to measure how good a detector is for alignment initialization.
Geographically weighted regression model on poverty indicator
Slamet, I.; Nugroho, N. F. T. A.; Muslich
2017-12-01
In this research, we applied geographically weighted regression (GWR) for analyzing the poverty in Central Java. We consider Gaussian Kernel as weighted function. The GWR uses the diagonal matrix resulted from calculating kernel Gaussian function as a weighted function in the regression model. The kernel weights is used to handle spatial effects on the data so that a model can be obtained for each location. The purpose of this paper is to model of poverty percentage data in Central Java province using GWR with Gaussian kernel weighted function and to determine the influencing factors in each regency/city in Central Java province. Based on the research, we obtained geographically weighted regression model with Gaussian kernel weighted function on poverty percentage data in Central Java province. We found that percentage of population working as farmers, population growth rate, percentage of households with regular sanitation, and BPJS beneficiaries are the variables that affect the percentage of poverty in Central Java province. In this research, we found the determination coefficient R2 are 68.64%. There are two categories of district which are influenced by different of significance factors.
Mixed-effects regression models in linguistics
Heylen, Kris; Geeraerts, Dirk
2018-01-01
When data consist of grouped observations or clusters, and there is a risk that measurements within the same group are not independent, group-specific random effects can be added to a regression model in order to account for such within-group associations. Regression models that contain such group-specific random effects are called mixed-effects regression models, or simply mixed models. Mixed models are a versatile tool that can handle both balanced and unbalanced datasets and that can also be applied when several layers of grouping are present in the data; these layers can either be nested or crossed. In linguistics, as in many other fields, the use of mixed models has gained ground rapidly over the last decade. This methodological evolution enables us to build more sophisticated and arguably more realistic models, but, due to its technical complexity, also introduces new challenges. This volume brings together a number of promising new evolutions in the use of mixed models in linguistics, but also addres...
On logistic regression analysis of dichotomized responses.
Lu, Kaifeng
2017-01-01
We study the properties of treatment effect estimate in terms of odds ratio at the study end point from logistic regression model adjusting for the baseline value when the underlying continuous repeated measurements follow a multivariate normal distribution. Compared with the analysis that does not adjust for the baseline value, the adjusted analysis produces a larger treatment effect as well as a larger standard error. However, the increase in standard error is more than offset by the increase in treatment effect so that the adjusted analysis is more powerful than the unadjusted analysis for detecting the treatment effect. On the other hand, the true adjusted odds ratio implied by the normal distribution of the underlying continuous variable is a function of the baseline value and hence is unlikely to be able to be adequately represented by a single value of adjusted odds ratio from the logistic regression model. In contrast, the risk difference function derived from the logistic regression model provides a reasonable approximation to the true risk difference function implied by the normal distribution of the underlying continuous variable over the range of the baseline distribution. We show that different metrics of treatment effect have similar statistical power when evaluated at the baseline mean. Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.
General regression and representation model for classification.
Directory of Open Access Journals (Sweden)
Jianjun Qian
Full Text Available Recently, the regularized coding-based classification methods (e.g. SRC and CRC show a great potential for pattern classification. However, most existing coding methods assume that the representation residuals are uncorrelated. In real-world applications, this assumption does not hold. In this paper, we take account of the correlations of the representation residuals and develop a general regression and representation model (GRR for classification. GRR not only has advantages of CRC, but also takes full use of the prior information (e.g. the correlations between representation residuals and representation coefficients and the specific information (weight matrix of image pixels to enhance the classification performance. GRR uses the generalized Tikhonov regularization and K Nearest Neighbors to learn the prior information from the training data. Meanwhile, the specific information is obtained by using an iterative algorithm to update the feature (or image pixel weights of the test sample. With the proposed model as a platform, we design two classifiers: basic general regression and representation classifier (B-GRR and robust general regression and representation classifier (R-GRR. The experimental results demonstrate the performance advantages of proposed methods over state-of-the-art algorithms.
Image superresolution using support vector regression.
Ni, Karl S; Nguyen, Truong Q
2007-06-01
A thorough investigation of the application of support vector regression (SVR) to the superresolution problem is conducted through various frameworks. Prior to the study, the SVR problem is enhanced by finding the optimal kernel. This is done by formulating the kernel learning problem in SVR form as a convex optimization problem, specifically a semi-definite programming (SDP) problem. An additional constraint is added to reduce the SDP to a quadratically constrained quadratic programming (QCQP) problem. After this optimization, investigation of the relevancy of SVR to superresolution proceeds with the possibility of using a single and general support vector regression for all image content, and the results are impressive for small training sets. This idea is improved upon by observing structural properties in the discrete cosine transform (DCT) domain to aid in learning the regression. Further improvement involves a combination of classification and SVR-based techniques, extending works in resolution synthesis. This method, termed kernel resolution synthesis, uses specific regressors for isolated image content to describe the domain through a partitioned look of the vector space, thereby yielding good results.
DEFF Research Database (Denmark)
Brinkmann, Svend
What does morality have to do with psychology in a value-neutral, postmodern world? According to a provocative new book, everything. Taking exception with current ideas in the mainstream (including cultural, evolutionary, and neuropsychology) as straying from the discipline’s ethical foundations,...... as a Moral Science contains enough controversial ideas to spark great interest among researchers and scholars in psychology and the philosophy of science.......What does morality have to do with psychology in a value-neutral, postmodern world? According to a provocative new book, everything. Taking exception with current ideas in the mainstream (including cultural, evolutionary, and neuropsychology) as straying from the discipline’s ethical foundations......, Psychology as a Moral Science argues that psychological phenomena are inherently moral, and that psychology, as prescriptive and interventive practice, reflects specific moral principles. The book cites normative moral standards, as far back as Aristotle, that give human thoughts, feelings, and actions...
Introducing positive psychology to SLA
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Sarah Mercer
2014-01-01
Full Text Available Positive psychology is a rapidly expanding subfield in psychology that has important implications for the field of second language acquisition (SLA. This paper introduces positive psychology to the study of language by describing its key tenets. The potential contributions of positive psychology are contextualized with reference to prior work, including the humanistic movement in language teaching, models of motivation, the concept of an affective filter, studies of the good language learner, and the concepts related to the self. There are reasons for both encouragement and caution as studies inspired by positive psychology are undertaken. Papers in this special issue of SSLLT cover a range of quantitative and qualitative methods with implications for theory, research, and teaching practice. The special issue serves as a springboard for future research in SLA under the umbrella of positive psychology.
Psychological Perspectives on Interrogation.
Vrij, Aldert; Meissner, Christian A; Fisher, Ronald P; Kassin, Saul M; Morgan, Charles A; Kleinman, Steven M
2017-11-01
Proponents of "enhanced interrogation techniques" in the United States have claimed that such methods are necessary for obtaining information from uncooperative terrorism subjects. In the present article, we offer an informed, academic perspective on such claims. Psychological theory and research shows that harsh interrogation methods are ineffective. First, they are likely to increase resistance by the subject rather than facilitate cooperation. Second, the threatening and adversarial nature of harsh interrogation is often inimical to the goal of facilitating the retrieval of information from memory and therefore reduces the likelihood that a subject will provide reports that are extensive, detailed, and accurate. Third, harsh interrogation methods make lie detection difficult. Analyzing speech content and eliciting verifiable details are the most reliable cues to assessing credibility; however, to elicit such cues subjects must be encouraged to provide extensive narratives, something that does not occur in harsh interrogations. Evidence is accumulating for the effectiveness of rapport-based information-gathering approaches as an alternative to harsh interrogations. Such approaches promote cooperation, enhance recall of relevant and reliable information, and facilitate assessments of credibility. Given the available evidence that torture is ineffective, why might some laypersons, policymakers, and interrogation personnel support the use of torture? We conclude our review by offering a psychological perspective on this important question.
Normality in Analytical Psychology
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Steve Myers
2013-11-01
Full Text Available Although C.G. Jung’s interest in normality wavered throughout his career, it was one of the areas he identified in later life as worthy of further research. He began his career using a definition of normality which would have been the target of Foucault’s criticism, had Foucault chosen to review Jung’s work. However, Jung then evolved his thinking to a standpoint that was more aligned to Foucault’s own. Thereafter, the post Jungian concept of normality has remained relatively undeveloped by comparison with psychoanalysis and mainstream psychology. Jung’s disjecta membra on the subject suggest that, in contemporary analytical psychology, too much focus is placed on the process of individuation to the neglect of applications that consider collective processes. Also, there is potential for useful research and development into the nature of conflict between individuals and societies, and how normal people typically develop in relation to the spectrum between individuation and collectivity.
Neal, Tess M S
2018-02-12
This article delineates 2 separate but related subfields of psychological science and practice applicable across all major areas of the field (e.g., clinical, counseling, developmental, social, cognitive, community). Forensic and correctional psychology are related by their historical roots, involvement in the justice system, and the shared population of people they study and serve. The practical and ethical contexts of these subfields is distinct from other areas of psychology-and from one another-with important implications for ecologically valid research and ethically sound practice. Forensic psychology is a subfield of psychology in which basic and applied psychological science or scientifically oriented professional practice is applied to the law to help resolve legal, contractual, or administrative matters. Correctional psychology is a subfield of psychology in which basic and applied psychological science or scientifically oriented professional practice is applied to the justice system to inform the classification, treatment, and management of offenders to reduce risk and improve public safety. There has been and continues to be great interest in both subfields-especially the potential for forensic and correctional psychological science to help resolve practical issues and questions in legal and justice settings. This article traces the shared and separate developmental histories of these subfields, outlines their important distinctions and implications, and provides a common understanding and shared language for psychologists interested in applying their knowledge in forensic or correctional contexts. (PsycINFO Database Record (c) 2018 APA, all rights reserved).
International Nuclear Information System (INIS)
Jafri, Y.Z.; Kamal, L.
2007-01-01
Various statistical techniques was used on five-year data from 1998-2002 of average humidity, rainfall, maximum and minimum temperatures, respectively. The relationships to regression analysis time series (RATS) were developed for determining the overall trend of these climate parameters on the basis of which forecast models can be corrected and modified. We computed the coefficient of determination as a measure of goodness of fit, to our polynomial regression analysis time series (PRATS). The correlation to multiple linear regression (MLR) and multiple linear regression analysis time series (MLRATS) were also developed for deciphering the interdependence of weather parameters. Spearman's rand correlation and Goldfeld-Quandt test were used to check the uniformity or non-uniformity of variances in our fit to polynomial regression (PR). The Breusch-Pagan test was applied to MLR and MLRATS, respectively which yielded homoscedasticity. We also employed Bartlett's test for homogeneity of variances on a five-year data of rainfall and humidity, respectively which showed that the variances in rainfall data were not homogenous while in case of humidity, were homogenous. Our results on regression and regression analysis time series show the best fit to prediction modeling on climatic data of Quetta, Pakistan. (author)
Psychology of NPP operation safety
International Nuclear Information System (INIS)
Tret'yakov, V.P.
1993-01-01
The book is devoted to psychologic investigations into different aspects of NPP operative personnel activities. The whole set of conditions on which successful and accident-free personnel operation depends, is analysed. Based on original engineering and socio-psychologic investigations complex psychologic support for NPP personnel and a system of training and upkeep of operative personnel skills are developed. The methods proposed have undergone a practical examination and proved their efficiency. 154 refs., 12 figs., 9 tabs
Historical spaces of social psychology
Kalampalikis , Nikos; Delouvée , Sylvain; Pétard , Jean-Pierre
2006-01-01
International audience; An extensive analysis of all social psychology textbooks published, in french, between 1947 and 2001, including a history chapter, provides a rich corpus for the study of the history of social psychology. In this article we choose to study the historical spaces of social psychology, in order to show how the discipline was located in geographical, urban, institutional and collective spaces. We argue that, into this specific corpus, spaces are essentially related to some...
German cross-cultural psychology
Trommsdorff, Gisela
1986-01-01
The present study deals with German-language cross-cultural research in different fields of psychology which attempts to achieve one Or more goals of cross-cultural psychology. First, methodological problems are discussed, followed by a selective presentation of cross-cultural research in personality, clinical, ethological, developmental, and social psychology. The theoretical and methodological advancement of these studies is investigated with respect to four approaches - universals in cross...
Teaching psychology to computing students
Taylor, Jacqui
2008-01-01
The aim of this paper is twofold. The first aim is to discuss some observations gained from teaching Psychology to Computing students, highlighting both the wide range of areas where Psychology is relevant to Computing education and the topics that are relevant at different stages of students’ education. The second aim is to consider findings from research investigating the characteristics of Computing and Psychology students. It is proposed that this information could be considered in the de...
Peer pressure, psychological distress and the urge to smoke.
Tsai, Yi-Wen; Wen, Yu-Wen; Tsai, Chia-Rung; Tsai, Tzu-I
2009-06-01
Psychology and addiction research have found that cigarette smokers react with subjective and automatic responses to stimuli associated with smoking. This study examines the association between the number of cigarettes smokers consume per month and their response to cues derived from peer and psychological distress. We studied 1,220 adult past and current smokers drawn from a national face-to-face interview survey administered in 2004. We defined two types of cues possibly triggering a smoker to have a cigarette: peer cues and psychological cues. We used ordinary least square linear regressions to analyze smoking amount and response to peer and psychological distress cues. We found a positive association between amount smoked and cue response: peer cues (1.06, 95%CI: 0.74-1.38) and psychological cues (0.44, 95%CI = 0.17-0.70). Response to psychological cues was lower among male smokers (-1.62, 95%CI = -2.26-(-)0.98), but response to psychological cues were higher among those who had senior high school level education (0.96, 95%CI = 0.40-1.53) and who began smoking as a response to their moods (1.25, 95%CI = 0.68-1.82). These results suggest that both peer cues and psychological cues increase the possibility of contingent smoking, and should, therefore, be addressed by anti-smoking policies and anti-smoking programs. More specifically, special attention can be paid to help smokers avoid or counter social pressure to smoke and to help smokers resist the use of cigarettes to relieve distress.
History of Asian American psychology.
Leong, Frederick T L; Okazaki, Sumie
2009-10-01
An overview of the history of Asian American psychology is provided by reviewing the context for the development of the field as well as the early founding of the Asian American Psychological Association (AAPA). The presidents of AAPA as well as key events and conferences are noted. The involvement of AAPA leaders in national mental health policies and activities are reviewed. The substantive areas of Asian American psychology and the education and training of Asian American psychologists are also discussed. The article ends with some comments about the future of Asian American psychology. Copyright 2009 APA, all rights reserved.
Qualitative methodology in developmental psychology
DEFF Research Database (Denmark)
Demuth, Carolin; Mey, Günter
2015-01-01
Qualitative methodology presently is gaining increasing recognition in developmental psychology. Although the founders of developmental psychology to a large extent already used qualitative procedures, the field was long dominated by a (post) positivistic quantitative paradigm. The increasing rec...... in qualitative research offers a promising avenue to advance the field in this direction.......Qualitative methodology presently is gaining increasing recognition in developmental psychology. Although the founders of developmental psychology to a large extent already used qualitative procedures, the field was long dominated by a (post) positivistic quantitative paradigm. The increasing...
Fu, Ching-Sheue
2015-01-01
In this study, the participants comprised 385 preschool teachers. The relationship among their emotional labor, Job Involvement, and psychological capital were examined using hierarchical regression analysis. In addition, whether psychological capital exerted a mediating effect on Job Involvement was investigated. The results show that "deep…
Investigating the psychological impact of bank robbery: a cohort study.
Hansen, Maj; Armour, Cherie; Shevlin, Mark; Elklit, Ask
2014-06-01
Despite numerous annual bank robberies worldwide, research in the psychological sequelae of bank robberies is sparse and characterized by several limitations. To overcome these limitations we investigated the psychological impact of bank robbery in a cohort study by comparing general levels of traumatization and somatization in employees never exposed to robbery and employees exposed to robbery at different degrees and time-points, while controlling for selected risk factors of posttraumatic distress. Multivariate regression analyses showed that only the acute directly exposed robbery group which had a significantly higher score on general traumatization and somatization compared to the control group whilst controlling for other factors. In conclusion, bank robbery exposure appears to be especially associated with psychological distress in the acute phase and in victims present during the robbery. After the acute phase, other factors appear more important in predicting general traumatization and somatization in bank employees compared to exposure to robbery. Copyright © 2014 Elsevier Ltd. All rights reserved.
The relationship between psychological well-being and empathy quotient
Directory of Open Access Journals (Sweden)
Amirhesam Khajeh
2014-06-01
Full Text Available This paper investigates the relationship between psychological well-being and empathy quotient among 200 married students, 100 female and 100 make, in city of Najafabad, Iran. The study uses a questionnaire with 84 questions for measuring psychological well-being, which consists of six parts including Autonomy, Environmental mastery, Personal growth, Positive relation with others, Purpose in life and Self-acceptance, each with 14 questions. Cronbach alphas for these six items were calculated as 0.83, 0.86, 0.85, 0.88, 0.88 and 0.91, respectively. In order to measure empathy quotient (EQ, the study uses EQ-short form, which consists of 22 questions. Cronbach alpha has been calculated as 0.93, which is well above the minimum acceptable level of 0.70. Using stepwise regression technique, the study determines a positive and meaningful relationship between EQ and psychological well-being.
Influence of Personality on Perception of Psychological Contract Breach
Directory of Open Access Journals (Sweden)
Hassan Jafri
2014-10-01
Full Text Available The present research aimed to investigate the influence of personality (Five-Factor Model on Psychological Contract Breach. Using random sampling procedure, data were collected from 90 faculties of colleges of Royal University of Bhutan. Personality scales by John, Naumann, and Soto (2008 and Robinson and Morrison’s (2000 Psychological Contract Breach scale were used in this study. Correlation and regression analysis were carried out to analyze the obtained data. Results revealed that Extraversion and Neuroticism dimensions of the personality model have been found to be positively associated with the perception of breach. Employees who are by nature Agreeable and Conscientiousness are less likely to perceive breach in their psychological contract. Organization should look into the personality aspect while recruiting employees. If employees are hired with certain personality traits, they may focus on their performance and organizational growth.
Psychological Determinants of Academic Achievement in Accounting: Evidence from Brazil
Directory of Open Access Journals (Sweden)
Samuel de Paiva Naves Mamede
2015-01-01
Full Text Available The proposal of this research was to investigate the association between psychological variables and academic performance of 494 students of acco unting o f a Brazilian public U niversity. W e seek , therefore, to highlight some psychological variables to understand the behavior of students of accounting courses. The instrument used for data collection was a questionnaire based on five psychological constructs: self - efficacy, self - esteem, optimism, locus of control and self - control. Regression analyses were used to identify the influence of the explanatory variables on the academic performance coefficient, with the main results showing that: (i the variable smo king has a direct impact on the academic achievement of students; (ii the academic performance of women is higher than that of men; (i ii students within the age range of 20 to 40 years have significantly lower performance than students of other age range s, and ( i v the variable experience time in accounting is related with the students' performance.
Religious orientation and psychological well-being among Spanish undergraduates
Directory of Open Access Journals (Sweden)
Joaquín García-Alandete
2013-06-01
Full Text Available This paper analyzes the relationship between intrinsic/extrinsic/quest religious orientation and psychological well-being in a sample of 180 Spanish undergraduates, 138 women (76.7% and 42 men (23.3%, aged 18-55, M = 22.91, sD = 6.71. Spanish adaptations of the Batson and Ventis´ Religious Orientation Scaleand the Ryff´s psychological Well-Being Scales were used to this aim. The results of a multiple regression analysis showed (1 a positive relationship between the intrinsic orientation and the psychological well-being measures except for Autonomy, (2 a negative relationship between the extrinsic orientation and Autonomy, and (3 a negative relationship between the quest orientation, Self-acceptance and Purpose in life. The results are discussed in the light of previous researches.
Personal determinants of positive states and stress in psychology students
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G.S. Kozhukhar
2013-07-01
Full Text Available We report study results of personality characteristics as predictors of positive states (active, optimistic, emotional, subjective comfort and stress experience in adults with one higher education and ongoing training in Psychology. The respondents were 107 people aged 23 to 52 years. Diagnostic methods we used were: "SMIL" (L. Sobchik, Optimism and Activity Scale (adapted by E. Vodopyanova, C. Izard Differential Emotions Scale (adapted by A. Leonova, Subjective Comfort Scale (adapted by A. Leonova, PSM-25 Scale by Lemyr-Tessier-Fillion. The regression analysis revealed that in subjects ongoing training in Psychology, basic predictor of positive emotions and stress experience is anxiety. Cluster analysis revealed three types of subjects by their positive states experiences, which differ primarily by the level of baseline anxiety and related personality characteristics. The group of risk comprised Psychology students with a tendency to depression and negative emotions and specific personality profile.
Counseling Psychology Doctoral Students' Training Experiences in Primary Care Psychology
Cox, Jared
2011-01-01
This qualitative study focused on counseling psychology doctoral students' perspectives regarding their practicum training experience in primary care psychology. The four participants included three females and one male. Semi-structured individual and focus group interviews were used to explore participants' experiences. The participants described…
Military Psychology | Ijide | African Journal for the Psychological ...
African Journals Online (AJOL)
According to Jean Piaget (1970), psychology is applicable to all human activities and situations, education and psychotherapy, work and leisure in nearly all sectors of employment particularly in the military (emphasis mine). There are however some individuals who believe that psychology might only be applicable to the ...
Kempe, P T; van Oppen, P; de Haan, E; Twisk, J W R; Sluis, A; Smit, J H; van Dyck, R; van Balkom, A J L M
2007-09-01
Two methods for predicting remissions in obsessive-compulsive disorder (OCD) treatment are evaluated. Y-BOCS measurements of 88 patients with a primary OCD (DSM-III-R) diagnosis were performed over a 16-week treatment period, and during three follow-ups. Remission at any measurement was defined as a Y-BOCS score lower than thirteen combined with a reduction of seven points when compared with baseline. Logistic regression models were compared with a Cox regression for recurrent events model. Logistic regression yielded different models at different evaluation times. The recurrent events model remained stable when fewer measurements were used. Higher baseline levels of neuroticism and more severe OCD symptoms were associated with a lower chance of remission, early age of onset and more depressive symptoms with a higher chance. Choice of outcome time affects logistic regression prediction models. Recurrent events analysis uses all information on remissions and relapses. Short- and long-term predictors for OCD remission show overlap.
Stinnett, Terry A.; Solomon, Benjamin G.
2014-01-01
An initial point of contact for recruitment of qualified persons into school psychology is undergraduate psychology degree programs. Unfortunately, the discipline of school psychology appears to receive at best only cursory coverage in undergraduate psychology texts, curriculum, and discussion by psychology department faculty even though school…
A method for nonlinear exponential regression analysis
Junkin, B. G.
1971-01-01
A computer-oriented technique is presented for performing a nonlinear exponential regression analysis on decay-type experimental data. The technique involves the least squares procedure wherein the nonlinear problem is linearized by expansion in a Taylor series. A linear curve fitting procedure for determining the initial nominal estimates for the unknown exponential model parameters is included as an integral part of the technique. A correction matrix was derived and then applied to the nominal estimate to produce an improved set of model parameters. The solution cycle is repeated until some predetermined criterion is satisfied.
Multinomial logistic regression in workers' health
Grilo, Luís M.; Grilo, Helena L.; Gonçalves, Sónia P.; Junça, Ana
2017-11-01
In European countries, namely in Portugal, it is common to hear some people mentioning that they are exposed to excessive and continuous psychosocial stressors at work. This is increasing in diverse activity sectors, such as, the Services sector. A representative sample was collected from a Portuguese Services' organization, by applying a survey (internationally validated), which variables were measured in five ordered categories in Likert-type scale. A multinomial logistic regression model is used to estimate the probability of each category of the dependent variable general health perception where, among other independent variables, burnout appear as statistically significant.
Three Contributions to Robust Regression Diagnostics
Czech Academy of Sciences Publication Activity Database
Kalina, Jan
2015-01-01
Roč. 11, č. 2 (2015), s. 69-78 ISSN 1336-9180 Grant - others:GA ČR(CZ) GA13-01930S; Nadační fond na podporu vědy(CZ) Neuron Institutional support: RVO:67985807 Keywords : robust regression * robust econometrics * hypothesis test ing Subject RIV: BA - General Mathematics http://www.degruyter.com/view/j/jamsi.2015.11.issue-2/jamsi-2015-0013/jamsi-2015-0013.xml?format=INT
SDE based regression for random PDEs
Bayer, Christian
2016-01-01
A simulation based method for the numerical solution of PDE with random coefficients is presented. By the Feynman-Kac formula, the solution can be represented as conditional expectation of a functional of a corresponding stochastic differential equation driven by independent noise. A time discretization of the SDE for a set of points in the domain and a subsequent Monte Carlo regression lead to an approximation of the global solution of the random PDE. We provide an initial error and complexity analysis of the proposed method along with numerical examples illustrating its behaviour.
Bayesian regression of piecewise homogeneous Poisson processes
Directory of Open Access Journals (Sweden)
Diego Sevilla
2015-12-01
Full Text Available In this paper, a Bayesian method for piecewise regression is adapted to handle counting processes data distributed as Poisson. A numerical code in Mathematica is developed and tested analyzing simulated data. The resulting method is valuable for detecting breaking points in the count rate of time series for Poisson processes. Received: 2 November 2015, Accepted: 27 November 2015; Edited by: R. Dickman; Reviewed by: M. Hutter, Australian National University, Canberra, Australia.; DOI: http://dx.doi.org/10.4279/PIP.070018 Cite as: D J R Sevilla, Papers in Physics 7, 070018 (2015
Selecting a Regression Saturated by Indicators
DEFF Research Database (Denmark)
Hendry, David F.; Johansen, Søren; Santos, Carlos
We consider selecting a regression model, using a variant of Gets, when there are more variables than observations, in the special case that the variables are impulse dummies (indicators) for every observation. We show that the setting is unproblematic if tackled appropriately, and obtain the fin...... the finite-sample distribution of estimators of the mean and variance in a simple location-scale model under the null that no impulses matter. A Monte Carlo simulation confirms the null distribution, and shows power against an alternative of interest....
Selecting a Regression Saturated by Indicators
DEFF Research Database (Denmark)
Hendry, David F.; Johansen, Søren; Santos, Carlos
We consider selecting a regression model, using a variant of Gets, when there are more variables than observations, in the special case that the variables are impulse dummies (indicators) for every observation. We show that the setting is unproblematic if tackled appropriately, and obtain the fin...... the finite-sample distribution of estimators of the mean and variance in a simple location-scale model under the null that no impulses matter. A Monte Carlo simulation confirms the null distribution, and shows power against an alternative of interest...
Mapping geogenic radon potential by regression kriging
Energy Technology Data Exchange (ETDEWEB)
Pásztor, László [Institute for Soil Sciences and Agricultural Chemistry, Centre for Agricultural Research, Hungarian Academy of Sciences, Department of Environmental Informatics, Herman Ottó út 15, 1022 Budapest (Hungary); Szabó, Katalin Zsuzsanna, E-mail: sz_k_zs@yahoo.de [Department of Chemistry, Institute of Environmental Science, Szent István University, Páter Károly u. 1, Gödöllő 2100 (Hungary); Szatmári, Gábor; Laborczi, Annamária [Institute for Soil Sciences and Agricultural Chemistry, Centre for Agricultural Research, Hungarian Academy of Sciences, Department of Environmental Informatics, Herman Ottó út 15, 1022 Budapest (Hungary); Horváth, Ákos [Department of Atomic Physics, Eötvös University, Pázmány Péter sétány 1/A, 1117 Budapest (Hungary)
2016-02-15
Radon ({sup 222}Rn) gas is produced in the radioactive decay chain of uranium ({sup 238}U) which is an element that is naturally present in soils. Radon is transported mainly by diffusion and convection mechanisms through the soil depending mainly on the physical and meteorological parameters of the soil and can enter and accumulate in buildings. Health risks originating from indoor radon concentration can be attributed to natural factors and is characterized by geogenic radon potential (GRP). Identification of areas with high health risks require spatial modeling, that is, mapping of radon risk. In addition to geology and meteorology, physical soil properties play a significant role in the determination of GRP. In order to compile a reliable GRP map for a model area in Central-Hungary, spatial auxiliary information representing GRP forming environmental factors were taken into account to support the spatial inference of the locally measured GRP values. Since the number of measured sites was limited, efficient spatial prediction methodologies were searched for to construct a reliable map for a larger area. Regression kriging (RK) was applied for the interpolation using spatially exhaustive auxiliary data on soil, geology, topography, land use and climate. RK divides the spatial inference into two parts. Firstly, the deterministic component of the target variable is determined by a regression model. The residuals of the multiple linear regression analysis represent the spatially varying but dependent stochastic component, which are interpolated by kriging. The final map is the sum of the two component predictions. Overall accuracy of the map was tested by Leave-One-Out Cross-Validation. Furthermore the spatial reliability of the resultant map is also estimated by the calculation of the 90% prediction interval of the local prediction values. The applicability of the applied method as well as that of the map is discussed briefly. - Highlights: • A new method
Fixed kernel regression for voltammogram feature extraction
International Nuclear Information System (INIS)
Acevedo Rodriguez, F J; López-Sastre, R J; Gil-Jiménez, P; Maldonado Bascón, S; Ruiz-Reyes, N
2009-01-01
Cyclic voltammetry is an electroanalytical technique for obtaining information about substances under analysis without the need for complex flow systems. However, classifying the information in voltammograms obtained using this technique is difficult. In this paper, we propose the use of fixed kernel regression as a method for extracting features from these voltammograms, reducing the information to a few coefficients. The proposed approach has been applied to a wine classification problem with accuracy rates of over 98%. Although the method is described here for extracting voltammogram information, it can be used for other types of signals
Regression analysis for the social sciences
Gordon, Rachel A
2010-01-01
The book provides graduate students in the social sciences with the basic skills that they need to estimate, interpret, present, and publish basic regression models using contemporary standards. Key features of the book include: interweaving the teaching of statistical concepts with examples developed for the course from publicly-available social science data or drawn from the literature. thorough integration of teaching statistical theory with teaching data processing and analysis. teaching of both SAS and Stata "side-by-side" and use of chapter exercises in which students practice programming and interpretation on the same data set and course exercises in which students can choose their own research questions and data set.
SDE based regression for random PDEs
Bayer, Christian
2016-01-06
A simulation based method for the numerical solution of PDE with random coefficients is presented. By the Feynman-Kac formula, the solution can be represented as conditional expectation of a functional of a corresponding stochastic differential equation driven by independent noise. A time discretization of the SDE for a set of points in the domain and a subsequent Monte Carlo regression lead to an approximation of the global solution of the random PDE. We provide an initial error and complexity analysis of the proposed method along with numerical examples illustrating its behaviour.
Neutrosophic Correlation and Simple Linear Regression
Directory of Open Access Journals (Sweden)
A. A. Salama
2014-09-01
Full Text Available Since the world is full of indeterminacy, the neutrosophics found their place into contemporary research. The fundamental concepts of neutrosophic set, introduced by Smarandache. Recently, Salama et al., introduced the concept of correlation coefficient of neutrosophic data. In this paper, we introduce and study the concepts of correlation and correlation coefficient of neutrosophic data in probability spaces and study some of their properties. Also, we introduce and study the neutrosophic simple linear regression model. Possible applications to data processing are touched upon.
Spectral density regression for bivariate extremes
Castro Camilo, Daniela
2016-05-11
We introduce a density regression model for the spectral density of a bivariate extreme value distribution, that allows us to assess how extremal dependence can change over a covariate. Inference is performed through a double kernel estimator, which can be seen as an extension of the Nadaraya–Watson estimator where the usual scalar responses are replaced by mean constrained densities on the unit interval. Numerical experiments with the methods illustrate their resilience in a variety of contexts of practical interest. An extreme temperature dataset is used to illustrate our methods. © 2016 Springer-Verlag Berlin Heidelberg
SPE dose prediction using locally weighted regression
International Nuclear Information System (INIS)
Hines, J. W.; Townsend, L. W.; Nichols, T. F.
2005-01-01
When astronauts are outside earth's protective magnetosphere, they are subject to large radiation doses resulting from solar particle events (SPEs). The total dose received from a major SPE in deep space could cause severe radiation poisoning. The dose is usually received over a 20-40 h time interval but the event's effects may be mitigated with an early warning system. This paper presents a method to predict the total dose early in the event. It uses a locally weighted regression model, which is easier to train and provides predictions as accurate as neural network models previously used. (authors)
Mapping geogenic radon potential by regression kriging
International Nuclear Information System (INIS)
Pásztor, László; Szabó, Katalin Zsuzsanna; Szatmári, Gábor; Laborczi, Annamária; Horváth, Ákos
2016-01-01
Radon ( 222 Rn) gas is produced in the radioactive decay chain of uranium ( 238 U) which is an element that is naturally present in soils. Radon is transported mainly by diffusion and convection mechanisms through the soil depending mainly on the physical and meteorological parameters of the soil and can enter and accumulate in buildings. Health risks originating from indoor radon concentration can be attributed to natural factors and is characterized by geogenic radon potential (GRP). Identification of areas with high health risks require spatial modeling, that is, mapping of radon risk. In addition to geology and meteorology, physical soil properties play a significant role in the determination of GRP. In order to compile a reliable GRP map for a model area in Central-Hungary, spatial auxiliary information representing GRP forming environmental factors were taken into account to support the spatial inference of the locally measured GRP values. Since the number of measured sites was limited, efficient spatial prediction methodologies were searched for to construct a reliable map for a larger area. Regression kriging (RK) was applied for the interpolation using spatially exhaustive auxiliary data on soil, geology, topography, land use and climate. RK divides the spatial inference into two parts. Firstly, the deterministic component of the target variable is determined by a regression model. The residuals of the multiple linear regression analysis represent the spatially varying but dependent stochastic component, which are interpolated by kriging. The final map is the sum of the two component predictions. Overall accuracy of the map was tested by Leave-One-Out Cross-Validation. Furthermore the spatial reliability of the resultant map is also estimated by the calculation of the 90% prediction interval of the local prediction values. The applicability of the applied method as well as that of the map is discussed briefly. - Highlights: • A new method, regression
SPE dose prediction using locally weighted regression
International Nuclear Information System (INIS)
Hines, J. W.; Townsend, L. W.; Nichols, T. F.
2005-01-01
When astronauts are outside Earth's protective magnetosphere, they are subject to large radiation doses resulting from solar particle events. The total dose received from a major solar particle event in deep space could cause severe radiation poisoning. The dose is usually received over a 20-40 h time interval but the event's effects may be reduced with an early warning system. This paper presents a method to predict the total dose early in the event. It uses a locally weighted regression model, which is easier to train, and provides predictions as accurate as the neural network models that were used previously. (authors)
AIRLINE ACTIVITY FORECASTING BY REGRESSION MODELS
Directory of Open Access Journals (Sweden)
Н. Білак
2012-04-01
Full Text Available Proposed linear and nonlinear regression models, which take into account the equation of trend and seasonality indices for the analysis and restore the volume of passenger traffic over the past period of time and its prediction for future years, as well as the algorithm of formation of these models based on statistical analysis over the years. The desired model is the first step for the synthesis of more complex models, which will enable forecasting of passenger (income level airline with the highest accuracy and time urgency.
Logistic regression applied to natural hazards: rare event logistic regression with replications
Guns, M.; Vanacker, Veerle
2012-01-01
Statistical analysis of natural hazards needs particular attention, as most of these phenomena are rare events. This study shows that the ordinary rare event logistic regression, as it is now commonly used in geomorphologic studies, does not always lead to a robust detection of controlling factors, as the results can be strongly sample-dependent. In this paper, we introduce some concepts of Monte Carlo simulations in rare event logistic regression. This technique, so-called rare event logisti...
Shultz, James M; Forbes, David
2014-01-01
Psychological first aid (PFA) has become the flagship early intervention for disaster survivors, with recent adaptations for disaster responders, in the post-9/11 era. PFA is broadly endorsed by expert consensus and integrated into guidelines for mental health and psychosocial support in disasters and extreme events. PFA frameworks are proliferating, with increasing numbers of models developed for delivery by a range of providers for use with an expanding array of target populations. Despite popularity and promotion there remains a dearth of evidence for effectiveness and recent independent reviews of PFA have highlighted this important gap. This commentary juxtaposes the current propagation of PFA against the compelling need to produce evidence for effectiveness and suggests a series of actions to prioritize and expedite real-time, real-event field evaluation of PFA. PMID:28228996
[Tinnitus and psychological comorbidities].
Zirke, N; Goebel, G; Mazurek, B
2010-07-01
Comorbidity is the presence of one or more disorders in addition to the main disorder. Comorbidities negatively influence the development of the main disease. For patients with tinnitus a comorbidity is an additional component complicating the habituation of ear noise and patients with decompensated tinnitus often have psychological comorbidities, e.g. affective, somatoform or anxiety disorders. At the time of first presentation and also during further follow-up, it is essential to pay particular attention to the presence of potential comorbid mental disorders. This is of special importance for patients with decompensated ear noise (severity grades 3 and 4). For ENT specialists it is important that the mental discomfort of patients must be taken seriously and should be identified through a targeted diagnosis. Effective treatment of the co-symptoms using cognitive behavior therapy (CBT) in conjunction with medication often reduces the severity of tinnitus perception and discomfort.
Ebrahimzadeh, Farzad; Hajizadeh, Ebrahim; Vahabi, Nasim; Almasian, Mohammad; Bakhteyar, Katayoon
2015-01-01
Unwanted pregnancy not intended by at least one of the parents has undesirable consequences for the family and the society. In the present study, three classification models were used and compared to predict unwanted pregnancies in an urban population. In this cross-sectional study, 887 pregnant mothers referring to health centers in Khorramabad, Iran, in 2012 were selected by the stratified and cluster sampling; relevant variables were measured and for prediction of unwanted pregnancy, logistic regression, discriminant analysis, and probit regression models and SPSS software version 21 were used. To compare these models, indicators such as sensitivity, specificity, the area under the ROC curve, and the percentage of correct predictions were used. The prevalence of unwanted pregnancies was 25.3%. The logistic and probit regression models indicated that parity and pregnancy spacing, contraceptive methods, household income and number of living male children were related to unwanted pregnancy. The performance of the models based on the area under the ROC curve was 0.735, 0.733, and 0.680 for logistic regression, probit regression, and linear discriminant analysis, respectively. Given the relatively high prevalence of unwanted pregnancies in Khorramabad, it seems necessary to revise family planning programs. Despite the similar accuracy of the models, if the researcher is interested in the interpretability of the results, the use of the logistic regression model is recommended.
Social Isolation, Depression, and Psychological Distress Among Older Adults.
Taylor, Harry Owen; Taylor, Robert Joseph; Nguyen, Ann W; Chatters, Linda
2018-02-01
To investigate the impact of objective and subjective social isolation from extended family members and friends on depressive symptoms and psychological distress among a national sample of older adults. Data for older adults (55 years and above) from the National Survey of American Life ( N = 1,439) were used to assess level of objective social isolation and subjective social isolation and to test regression models examining their impact on depressive symptoms (Center for Epidemiologic Studies Depression [CES-D] Scale) and psychological distress (Kessler 6 [K6] Scale). The majority of respondents were not socially isolated from family or friends; 5% were objectively isolated from family and friends, and less than 1% were subjectively isolated from family and friends. Regression analyses using both social isolation measures indicated that objective social isolation was unrelated to depressive symptoms and psychological distress. However, subjective social isolation from both family and friends and from friends only was associated with more depressive symptoms, and subjective social isolation from friends only was associated with higher levels of psychological distress. Assessments of social isolation among older populations should account for both subjective and objective dimensions, as well as both family and friend social networks. Social isolation from friends is an important, but understudied, issue that has significant consequences for older adult mental health.
Bayesian nonlinear regression for large small problems
Chakraborty, Sounak; Ghosh, Malay; Mallick, Bani K.
2012-01-01
Statistical modeling and inference problems with sample sizes substantially smaller than the number of available covariates are challenging. This is known as large p small n problem. Furthermore, the problem is more complicated when we have multiple correlated responses. We develop multivariate nonlinear regression models in this setup for accurate prediction. In this paper, we introduce a full Bayesian support vector regression model with Vapnik's ε-insensitive loss function, based on reproducing kernel Hilbert spaces (RKHS) under the multivariate correlated response setup. This provides a full probabilistic description of support vector machine (SVM) rather than an algorithm for fitting purposes. We have also introduced a multivariate version of the relevance vector machine (RVM). Instead of the original treatment of the RVM relying on the use of type II maximum likelihood estimates of the hyper-parameters, we put a prior on the hyper-parameters and use Markov chain Monte Carlo technique for computation. We have also proposed an empirical Bayes method for our RVM and SVM. Our methods are illustrated with a prediction problem in the near-infrared (NIR) spectroscopy. A simulation study is also undertaken to check the prediction accuracy of our models. © 2012 Elsevier Inc.
Spontaneous regression of intracranial malignant lymphoma
International Nuclear Information System (INIS)
Kojo, Nobuto; Tokutomi, Takashi; Eguchi, Gihachirou; Takagi, Shigeyuki; Matsumoto, Tomie; Sasaguri, Yasuyuki; Shigemori, Minoru.
1988-01-01
In a 46-year-old female with a 1-month history of gait and speech disturbances, computed tomography (CT) demonstrated mass lesions of slightly high density in the left basal ganglia and left frontal lobe. The lesions were markedly enhanced by contrast medium. The patient received no specific treatment, but her clinical manifestations gradually abated and the lesions decreased in size. Five months after her initial examination, the lesions were absent on CT scans; only a small area of low density remained. Residual clinical symptoms included mild right hemiparesis and aphasia. After 14 months the patient again deteriorated, and a CT scan revealed mass lesions in the right frontal lobe and the pons. However, no enhancement was observed in the previously affected regions. A biopsy revealed malignant lymphoma. Despite treatment with steroids and radiation, the patient's clinical status progressively worsened and she died 27 months after initial presentation. Seven other cases of spontaneous regression of primary malignant lymphoma have been reported. In this case, the mechanism of the spontaneous regression was not clear, but changes in immunologic status may have been involved. (author)
Regression testing in the TOTEM DCS
International Nuclear Information System (INIS)
Rodríguez, F Lucas; Atanassov, I; Burkimsher, P; Frost, O; Taskinen, J; Tulimaki, V
2012-01-01
The Detector Control System of the TOTEM experiment at the LHC is built with the industrial product WinCC OA (PVSS). The TOTEM system is generated automatically through scripts using as input the detector Product Breakdown Structure (PBS) structure and its pinout connectivity, archiving and alarm metainformation, and some other heuristics based on the naming conventions. When those initial parameters and automation code are modified to include new features, the resulting PVSS system can also introduce side-effects. On a daily basis, a custom developed regression testing tool takes the most recent code from a Subversion (SVN) repository and builds a new control system from scratch. This system is exported in plain text format using the PVSS export tool, and compared with a system previously validated by a human. A report is sent to the developers with any differences highlighted, in readiness for validation and acceptance as a new stable version. This regression approach is not dependent on any development framework or methodology. This process has been satisfactory during several months, proving to be a very valuable tool before deploying new versions in the production systems.
Supporting Regularized Logistic Regression Privately and Efficiently
Li, Wenfa; Liu, Hongzhe; Yang, Peng; Xie, Wei
2016-01-01
As one of the most popular statistical and machine learning models, logistic regression with regularization has found wide adoption in biomedicine, social sciences, information technology, and so on. These domains often involve data of human subjects that are contingent upon strict privacy regulations. Concerns over data privacy make it increasingly difficult to coordinate and conduct large-scale collaborative studies, which typically rely on cross-institution data sharing and joint analysis. Our work here focuses on safeguarding regularized logistic regression, a widely-used statistical model while at the same time has not been investigated from a data security and privacy perspective. We consider a common use scenario of multi-institution collaborative studies, such as in the form of research consortia or networks as widely seen in genetics, epidemiology, social sciences, etc. To make our privacy-enhancing solution practical, we demonstrate a non-conventional and computationally efficient method leveraging distributing computing and strong cryptography to provide comprehensive protection over individual-level and summary data. Extensive empirical evaluations on several studies validate the privacy guarantee, efficiency and scalability of our proposal. We also discuss the practical implications of our solution for large-scale studies and applications from various disciplines, including genetic and biomedical studies, smart grid, network analysis, etc. PMID:27271738
Structural Break Tests Robust to Regression Misspecification
Directory of Open Access Journals (Sweden)
Alaa Abi Morshed
2018-05-01
Full Text Available Structural break tests for regression models are sensitive to model misspecification. We show—analytically and through simulations—that the sup Wald test for breaks in the conditional mean and variance of a time series process exhibits severe size distortions when the conditional mean dynamics are misspecified. We also show that the sup Wald test for breaks in the unconditional mean and variance does not have the same size distortions, yet benefits from similar power to its conditional counterpart in correctly specified models. Hence, we propose using it as an alternative and complementary test for breaks. We apply the unconditional and conditional mean and variance tests to three US series: unemployment, industrial production growth and interest rates. Both the unconditional and the conditional mean tests detect a break in the mean of interest rates. However, for the other two series, the unconditional mean test does not detect a break, while the conditional mean tests based on dynamic regression models occasionally detect a break, with the implied break-point estimator varying across different dynamic specifications. For all series, the unconditional variance does not detect a break while most tests for the conditional variance do detect a break which also varies across specifications.
Supporting Regularized Logistic Regression Privately and Efficiently.
Li, Wenfa; Liu, Hongzhe; Yang, Peng; Xie, Wei
2016-01-01
As one of the most popular statistical and machine learning models, logistic regression with regularization has found wide adoption in biomedicine, social sciences, information technology, and so on. These domains often involve data of human subjects that are contingent upon strict privacy regulations. Concerns over data privacy make it increasingly difficult to coordinate and conduct large-scale collaborative studies, which typically rely on cross-institution data sharing and joint analysis. Our work here focuses on safeguarding regularized logistic regression, a widely-used statistical model while at the same time has not been investigated from a data security and privacy perspective. We consider a common use scenario of multi-institution collaborative studies, such as in the form of research consortia or networks as widely seen in genetics, epidemiology, social sciences, etc. To make our privacy-enhancing solution practical, we demonstrate a non-conventional and computationally efficient method leveraging distributing computing and strong cryptography to provide comprehensive protection over individual-level and summary data. Extensive empirical evaluations on several studies validate the privacy guarantee, efficiency and scalability of our proposal. We also discuss the practical implications of our solution for large-scale studies and applications from various disciplines, including genetic and biomedical studies, smart grid, network analysis, etc.
Bayesian nonlinear regression for large small problems
Chakraborty, Sounak
2012-07-01
Statistical modeling and inference problems with sample sizes substantially smaller than the number of available covariates are challenging. This is known as large p small n problem. Furthermore, the problem is more complicated when we have multiple correlated responses. We develop multivariate nonlinear regression models in this setup for accurate prediction. In this paper, we introduce a full Bayesian support vector regression model with Vapnik\\'s ε-insensitive loss function, based on reproducing kernel Hilbert spaces (RKHS) under the multivariate correlated response setup. This provides a full probabilistic description of support vector machine (SVM) rather than an algorithm for fitting purposes. We have also introduced a multivariate version of the relevance vector machine (RVM). Instead of the original treatment of the RVM relying on the use of type II maximum likelihood estimates of the hyper-parameters, we put a prior on the hyper-parameters and use Markov chain Monte Carlo technique for computation. We have also proposed an empirical Bayes method for our RVM and SVM. Our methods are illustrated with a prediction problem in the near-infrared (NIR) spectroscopy. A simulation study is also undertaken to check the prediction accuracy of our models. © 2012 Elsevier Inc.
Hyperspectral Unmixing with Robust Collaborative Sparse Regression
Directory of Open Access Journals (Sweden)
Chang Li
2016-07-01
Full Text Available Recently, sparse unmixing (SU of hyperspectral data has received particular attention for analyzing remote sensing images. However, most SU methods are based on the commonly admitted linear mixing model (LMM, which ignores the possible nonlinear effects (i.e., nonlinearity. In this paper, we propose a new method named robust collaborative sparse regression (RCSR based on the robust LMM (rLMM for hyperspectral unmixing. The rLMM takes the nonlinearity into consideration, and the nonlinearity is merely treated as outlier, which has the underlying sparse property. The RCSR simultaneously takes the collaborative sparse property of the abundance and sparsely distributed additive property of the outlier into consideration, which can be formed as a robust joint sparse regression problem. The inexact augmented Lagrangian method (IALM is used to optimize the proposed RCSR. The qualitative and quantitative experiments on synthetic datasets and real hyperspectral images demonstrate that the proposed RCSR is efficient for solving the hyperspectral SU problem compared with the other four state-of-the-art algorithms.
Supporting Regularized Logistic Regression Privately and Efficiently.
Directory of Open Access Journals (Sweden)
Wenfa Li
Full Text Available As one of the most popular statistical and machine learning models, logistic regression with regularization has found wide adoption in biomedicine, social sciences, information technology, and so on. These domains often involve data of human subjects that are contingent upon strict privacy regulations. Concerns over data privacy make it increasingly difficult to coordinate and conduct large-scale collaborative studies, which typically rely on cross-institution data sharing and joint analysis. Our work here focuses on safeguarding regularized logistic regression, a widely-used statistical model while at the same time has not been investigated from a data security and privacy perspective. We consider a common use scenario of multi-institution collaborative studies, such as in the form of research consortia or networks as widely seen in genetics, epidemiology, social sciences, etc. To make our privacy-enhancing solution practical, we demonstrate a non-conventional and computationally efficient method leveraging distributing computing and strong cryptography to provide comprehensive protection over individual-level and summary data. Extensive empirical evaluations on several studies validate the privacy guarantee, efficiency and scalability of our proposal. We also discuss the practical implications of our solution for large-scale studies and applications from various disciplines, including genetic and biomedical studies, smart grid, network analysis, etc.
Open source in Experimental Psychology
Dalmaijer, Edwin
2015-01-01
Talk on using open-source software in experimental psychology. Presented on 3 March 2015, at the Attention, Brain and Cognitive Development group (http://www.psy.ox.ac.uk/research/attention-brain-and-cognitive-development-group) at the University of Oxford's Department of Experimental Psychology.
Psychological adaptation after peripartum cardiomyopathy
DEFF Research Database (Denmark)
de Wolff, Mie; Ersbøll, Anne Schjødt; Hegaard, Hanne
2018-01-01
of regaining psychological balance and wellbeing (i.e. psychological adaptation) after having experienced severe peripartum morbidity. DESIGN: A qualitative exploratory research design was applied to guide the study. Data was collected through in-depth, semi-structured, face-toface telephone and e...
Gestalt Psychology and Bilingual Education.
Blomstedt, Bob; And Others
Several concepts detailed in Gestalt psychology/therapy appear to have a close relationship with many concepts being applied in bilingual education. The primary contribution of Gestalt psychology to learning theory in the U.S. is an emphasis on perception and reintegration of relationships within an organized whole. To the teacher this means that…
Psychological constructionism and cultural neuroscience.
Hechtman, Lisa A; Pornpattananangkul, Narun; Chiao, Joan Y
2012-06-01
Lindquist et al. argue that emotional categories do not map onto distinct regions within the brain, but rather, arise from basic psychological processes, including conceptualization, executive attention, and core affect. Here, we use examples from cultural neuroscience to argue that psychological constructionism, not locationism, captures the essential role of emotion in the social and cultural brain.
Educational Psychology: A Future Retrospective
Harris, Karen R.
2018-01-01
In my response to Alexander's (2018) paper marking the 125th anniversary of the American Psychological Association and the field of educational psychology, I have taken the perspective of a member of our discipline from some time in the future who is contributing to a larger work looking back at the history and development of our field (thus, a…
Interdisciplinarity and Undergraduate Psychology Education
Goodwin-Smith, Ian; Pearson, Elissa; Ranzijn, Rob; Campbell, Alan; Lushington, Kurt
2013-01-01
This work identifies the human service sector as an important and growing destination for psychology graduates. It further identifies a number of key themes which flow from that observation and which are important to configuring psychology education in a way which takes account of emerging trends. The major theme identified in the research is the…
Specialty Guidelines for Forensic Psychology
American Psychologist, 2013
2013-01-01
In the past 50 years forensic psychological practice has expanded dramatically. Because the practice of forensic psychology differs in important ways from more traditional practice areas (Monahan, 1980) the "Specialty Guidelines for Forensic Psychologists" were developed and published in 1991 (Committee on Ethical Guidelines for Forensic…
Objective techniques for psychological assessment
Wortz, E.; Hendrickson, W.; Ross, T.
1973-01-01
A literature review and a pilot study are used to develop psychological assessment techniques for determining objectively the major aspects of the psychological state of an astronaut. Relationships between various performance and psychophysiological variables and between those aspects of attention necessary to engage successfully in various functions are considered in developing a paradigm to be used for collecting data in manned isolation chamber experiments.
[Psychological time, definition and challenges].
Droit-Volet, Sylvie
2012-10-01
Psychological time comprises different forms of time. Each form of time corresponds to different psychological mechanisms. The human being is subject to distortions of time under the effect of emotions. The effectiveness of social interaction depends on our aptitude to synchronise ourselves with others.
Psychology's dilemma: An institutional neurosis?
Katzko, M.W.
2004-01-01
The term psychology refers both to an institutional discipline and to a subject matter. Henriques, in his article "Psychology Defined" (this issue) , emphasizes the second reference, and its focus can be sharpened by taking into account the first reference. On the one hand, epistemic progress in
Psychological Assessment of the Disabled.
Pool, Donald A.
The paper examines issues, philosophy and guidelines for psychological assessment of the disabled. Focused on are: (1) adjustments in testing procedures and (2) applicability of standard norms with commonly used psychological test instruments for the assessment of ability, interest, and personality. The importance of accurate assessment for…
Ethical issues in exercise psychology.
Pauline, Jeffrey S; Pauline, Gina A; Johnson, Scott R; Gamble, Kelly M
2006-01-01
Exercise psychology encompasses the disciplines of psychiatry, clinical and counseling psychology, health promotion, and the movement sciences. This emerging field involves diverse mental health issues, theories, and general information related to physical activity and exercise. Numerous research investigations across the past 20 years have shown both physical and psychological benefits from physical activity and exercise. Exercise psychology offers many opportunities for growth while positively influencing the mental and physical health of individuals, communities, and society. However, the exercise psychology literature has not addressed ethical issues or dilemmas faced by mental health professionals providing exercise psychology services. This initial discussion of ethical issues in exercise psychology is an important step in continuing to move the field forward. Specifically, this article will address the emergence of exercise psychology and current health behaviors and offer an overview of ethics and ethical issues, education/training and professional competency, cultural and ethnic diversity, multiple-role relationships and conflicts of interest, dependency issues, confidentiality and recording keeping, and advertisement and self-promotion.
How Old Is Scientific Psychology?
Harding, John S.
Scientific psychology did not begin with Fechner and Wundt in the 19th century; its roots actually stretch back to 18th century Germany. The only detailed account of this period was published by Max Dessoir more than 80 years ago. Dessoir identified some of the crucial figures in early psychology, including Wolff, Bonnet, Kruger, Hissman, and…
Psychologic Outcomes in Implant Prosthodontics
Bassi, Francesco; Carr, Alan B.; Chang, Ting-Ling; Estafanous, Emad W.; Garrett, Neal R.; Happonen, Risto-Pekka; Koka, Sreenivas; Laine, Juhani; Osswald, Martin; Reintsema, Harry; Rieger, Jana; Roumanas, Eleni; Salinas, Thomas J.; Stanford, Clark M.; Wolfaardt, Johan
2013-01-01
Consensus regarding outcomes of the treatment of tooth loss, especially the psychologic outcomes, is needed to guide discovery of best practices and enable a better understanding of patient management for this chronic condition. This paper presents the findings of the ORONet Psychological Working
Interpreting parameters in the logistic regression model with random effects
DEFF Research Database (Denmark)
Larsen, Klaus; Petersen, Jørgen Holm; Budtz-Jørgensen, Esben
2000-01-01
interpretation, interval odds ratio, logistic regression, median odds ratio, normally distributed random effects......interpretation, interval odds ratio, logistic regression, median odds ratio, normally distributed random effects...
Ando, Noriko; Iwamitsu, Yumi; Kuranami, Masaru; Okazaki, Shigemi; Wada, Mei; Yamamoto, Kenji; Todoroki, Keiko; Watanabe, Masahiko; Miyaoka, Hitoshi
2009-11-01
The objective of this study was to determine how psychological characteristics, subjective symptoms, a family history of breast cancer, and age impact psychological distress in outpatients at the first hospital visit prior to breast cancer diagnosis. Participants were prediagnosed women with complaints of breast symptoms who either came to our hospital directly, or with a referral from another clinic. Patients were asked to complete questionnaires to determine the following: trait anxiety (State-Trait Anxiety Inventory), negative emotional suppression (Courtauld Emotional Control Scale), life stress events (Life Experiences Survey), and psychological distress (Profile of Mood States). We examined subjective symptoms (lumps, pain, abnormal nipple discharge, or deformed nipple) and family history of breast cancer based on answers to the interview sheet filled out by patients on their first visit. We analyzed a total of 154 patients who completed the questionnaires out of 237 eligible patients. A significant model was obtained by multiple regression analysis (adjusted R (2) = 0.574, p < 0.01) in which the standard partial regression coefficients for trait anxiety, suppression of anxiety, negative life change events, positive life change events, and subjective symptoms were statistically significant (beta = 0.623, 0.133, 0.155, 0.108, and 0.124, respectively; p < 0.05). Psychological distress prior to diagnosis was higher in patients who had high trait anxiety, suppression of anxiety, many life stress events, and subjective symptoms. In particular, trait anxiety had a large impact on psychological distress, underscoring the need for and importance of adequate psychological care.
Five currents of organizational psychology
DEFF Research Database (Denmark)
Nickelsen, Niels Christian Mossfeldt
2017-01-01
Organizational psychology may be seen as consisting of a number of mutually conflictual currents developed over several decades. This article discusses five currents in organizational psychology that have both been dominant in Scandinavia and have had particular significance in relation...... to the field of organizational development: The social psychological, the socio-technical, the humanistic, the work psychological and the social constructionist currents. Central arguments and works from leading scholars are discussed. It is argued that although treated differently the notions of the small...... group, group dynamics, resistance to change and process consultation constitute pivotal and through going tenets in all the currents. These notions, it is argued, link the discipline of organizational psychology together into a mutually discordant, but anyway relatively consistent research area...
Psychological counselling in problematic diabetes
DEFF Research Database (Denmark)
Snoek, F. J.; Skinner, T. C.
2002-01-01
-destructive behaviour, but future research should substantiate these preliminary findings. Behaviour family therapy proved beneficial in terms of resolving family conflicts, but did not impact glycaemic control. Conclusions: Evidence to support the effect of psychological treatment in problematic diabetes is still......Background: In past decades clinicians have increasingly recognized the importance of psychological support for people with diabetes and their families, and many have recommended integrating psychological counselling into routine diabetes care. It is therefore important to consider whether...... psychological interventions in diabetes are effective in improving clinical outcomes. Methods: This review was limited to the literature reporting on the treatment of five common psychological problems known to complicate diabetes management: depression, eating disorders, anxiety/stress, self...
Psychology between science and profession
Directory of Open Access Journals (Sweden)
Todorović Milorad
2009-01-01
Full Text Available Psychology is powerful science, with great knowledge deposited for understanding the individual (his development and pathological outcomes, behavior and predicting behavior in different situations, groups, historical flows and historical characters, cultural and civilisation changes, artistic and other creations. Psychology, as it becomes to the science of soul, has covered all areas of human spirit. Discreprancy between potential and power of psychology and her use (in the work of psychologists author connects for positioning and realisation of psychology in university teachings. Whit the help of psychology we can, not just successes in life but we can also understand life itself. But, how many psychologists can contribute to that? Why is that so?.
The psychological science of addiction.
Gifford, Elizabeth; Humphreys, Keith
2007-03-01
To discuss the contributions and future course of the psychological science of addiction. The psychology of addiction includes a tremendous range of scientific activity, from the basic experimental laboratory through increasingly broad relational contexts, including patient-practitioner interactions, families, social networks, institutional settings, economics and culture. Some of the contributions discussed here include applications of behavioral principles, cognitive and behavioral neuroscience and the development and evaluation of addiction treatment. Psychology has at times been guilty of proliferating theories with relatively little pruning, and of overemphasizing intrapersonal explanations for human behavior. However, at its best, defined as the science of the individual in context, psychology is an integrated discipline using diverse methods well-suited to capture the multi-dimensional nature of addictive behavior. Psychology has a unique ability to integrate basic experimental and applied clinical science and to apply the knowledge gained from multiple levels of analysis to the pragmatic goal of reducing the prevalence of addiction.
Time Breath of Psychological Theories
DEFF Research Database (Denmark)
Tateo, Luca; Valsiner, Jaan
2015-01-01
Psychology as a self-aspiring, ambitious, developmental science faces the crucial limit of time—both theoretically and practically. The issue of time in constructing psychology’s theories is a major unresolved metatheoretical task. This raises several questions about generalization of knowledge...... of time—or fail to do that? How can they generalize with respect to time? The different conceptions of time often remain implicit, while shaping the concepts used in understanding psychological processes. Any preconception about time in human development will foster the generalizability of theory, as well......: which is the time length of breath of psychological theories? Which is the temporal dimension of psychological processes? In this article we discuss the role of different axiomatic assumptions about time in the construction of psychological theories. How could different theories include a concept...
Significance tests to determine the direction of effects in linear regression models.
Wiedermann, Wolfgang; Hagmann, Michael; von Eye, Alexander
2015-02-01
Previous studies have discussed asymmetric interpretations of the Pearson correlation coefficient and have shown that higher moments can be used to decide on the direction of dependence in the bivariate linear regression setting. The current study extends this approach by illustrating that the third moment of regression residuals may also be used to derive conclusions concerning the direction of effects. Assuming non-normally distributed variables, it is shown that the distribution of residuals of the correctly specified regression model (e.g., Y is regressed on X) is more symmetric than the distribution of residuals of the competing model (i.e., X is regressed on Y). Based on this result, 4 one-sample tests are discussed which can be used to decide which variable is more likely to be the response and which one is more likely to be the explanatory variable. A fifth significance test is proposed based on the differences of skewness estimates, which leads to a more direct test of a hypothesis that is compatible with direction of dependence. A Monte Carlo simulation study was performed to examine the behaviour of the procedures under various degrees of associations, sample sizes, and distributional properties of the underlying population. An empirical example is given which illustrates the application of the tests in practice. © 2014 The British Psychological Society.
Anthropological aspects of health psychology
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Alexander V. Shuvalov
2015-12-01
Full Text Available The paper presents the results of a theoretical study carried out in the framework of the research project «Determinants of psychological health of the modern person». The issue of psychological health is considered in the context of the anthropological crisis that affects public body and causes a decrease in synergetic social life. On the level of specific manifestations, it is associated with damage to the spiritual and moral sphere, distortion of personal way of life and interpersonal relationships, which leads to a general decline in viability. A growing number of people, whose subjective state can be described as mentally fit, but personally sick is identified. Secondary symptoms of such conditions are depression, aggression, dependent behaviour. However, their essential characteristics are not captured by the existing social psychological, psychological pedagogical and medical psychological concepts and also do not fit the typical description of psychological emotional and/or behavioural disorders. The author adheres to the hypothesis that these states have specific spiritual and psychological conditions and symptoms that deserve scientific analysis and philosophical reflection. The leitmotif of the paper is the issue of mental health in its scientific and philosophical sense. Representation of health from the standpoint of modern humanitarian knowledge and traditional spiritual culture are generalized. The theory of general psychological health is developed. The main approaches to the problem of psychological health are presented. Comparative analysis of the humanistic and anthropological models of mental health is shown. Correspondence between the anthropological conditions and criteria of mental health concepts of the modern national educational ideal is presented. Educational activity is described as anthropological practice aimed at acquiring by a child the wide range of values as a person. As such, it is the most conducive to
BANK FAILURE PREDICTION WITH LOGISTIC REGRESSION
Directory of Open Access Journals (Sweden)
Taha Zaghdoudi
2013-04-01
Full Text Available In recent years the economic and financial world is shaken by a wave of financial crisis and resulted in violent bank fairly huge losses. Several authors have focused on the study of the crises in order to develop an early warning model. It is in the same path that our work takes its inspiration. Indeed, we have tried to develop a predictive model of Tunisian bank failures with the contribution of the binary logistic regression method. The specificity of our prediction model is that it takes into account microeconomic indicators of bank failures. The results obtained using our provisional model show that a bank's ability to repay its debt, the coefficient of banking operations, bank profitability per employee and leverage financial ratio has a negative impact on the probability of failure.
ANYOLS, Least Square Fit by Stepwise Regression
International Nuclear Information System (INIS)
Atwoods, C.L.; Mathews, S.
1986-01-01
Description of program or function: ANYOLS is a stepwise program which fits data using ordinary or weighted least squares. Variables are selected for the model in a stepwise way based on a user- specified input criterion or a user-written subroutine. The order in which variables are entered can be influenced by user-defined forcing priorities. Instead of stepwise selection, ANYOLS can try all possible combinations of any desired subset of the variables. Automatic output for the final model in a stepwise search includes plots of the residuals, 'studentized' residuals, and leverages; if the model is not too large, the output also includes partial regression and partial leverage plots. A data set may be re-used so that several selection criteria can be tried. Flexibility is increased by allowing the substitution of user-written subroutines for several default subroutines
Nonparametric additive regression for repeatedly measured data
Carroll, R. J.
2009-05-20
We develop an easily computed smooth backfitting algorithm for additive model fitting in repeated measures problems. Our methodology easily copes with various settings, such as when some covariates are the same over repeated response measurements. We allow for a working covariance matrix for the regression errors, showing that our method is most efficient when the correct covariance matrix is used. The component functions achieve the known asymptotic variance lower bound for the scalar argument case. Smooth backfitting also leads directly to design-independent biases in the local linear case. Simulations show our estimator has smaller variance than the usual kernel estimator. This is also illustrated by an example from nutritional epidemiology. © 2009 Biometrika Trust.
Conjoined legs: Sirenomelia or caudal regression syndrome?
Directory of Open Access Journals (Sweden)
Sakti Prasad Das
2013-01-01
Full Text Available Presence of single umbilical persistent vitelline artery distinguishes sirenomelia from caudal regression syndrome. We report a case of a12-year-old boy who had bilateral umbilical arteries presented with fusion of both legs in the lower one third of leg. Both feet were rudimentary. The right foot had a valgus rocker-bottom deformity. All toes were present but rudimentary. The left foot showed absence of all toes. Physical examination showed left tibia vara. The chest evaluation in sitting revealed pigeon chest and elevated right shoulder. Posterior examination of the trunk showed thoracic scoliosis with convexity to right. The patient was operated and at 1 year followup the boy had two separate legs with a good aesthetic and functional results.
Conjoined legs: Sirenomelia or caudal regression syndrome?
Das, Sakti Prasad; Ojha, Niranjan; Ganesh, G Shankar; Mohanty, Ram Narayan
2013-07-01
Presence of single umbilical persistent vitelline artery distinguishes sirenomelia from caudal regression syndrome. We report a case of a12-year-old boy who had bilateral umbilical arteries presented with fusion of both legs in the lower one third of leg. Both feet were rudimentary. The right foot had a valgus rocker-bottom deformity. All toes were present but rudimentary. The left foot showed absence of all toes. Physical examination showed left tibia vara. The chest evaluation in sitting revealed pigeon chest and elevated right shoulder. Posterior examination of the trunk showed thoracic scoliosis with convexity to right. The patient was operated and at 1 year followup the boy had two separate legs with a good aesthetic and functional results.
Logistic regression against a divergent Bayesian network
Directory of Open Access Journals (Sweden)
Noel Antonio Sánchez Trujillo
2015-01-01
Full Text Available This article is a discussion about two statistical tools used for prediction and causality assessment: logistic regression and Bayesian networks. Using data of a simulated example from a study assessing factors that might predict pulmonary emphysema (where fingertip pigmentation and smoking are considered; we posed the following questions. Is pigmentation a confounding, causal or predictive factor? Is there perhaps another factor, like smoking, that confounds? Is there a synergy between pigmentation and smoking? The results, in terms of prediction, are similar with the two techniques; regarding causation, differences arise. We conclude that, in decision-making, the sum of both: a statistical tool, used with common sense, and previous evidence, taking years or even centuries to develop; is better than the automatic and exclusive use of statistical resources.
Adaptive regression for modeling nonlinear relationships
Knafl, George J
2016-01-01
This book presents methods for investigating whether relationships are linear or nonlinear and for adaptively fitting appropriate models when they are nonlinear. Data analysts will learn how to incorporate nonlinearity in one or more predictor variables into regression models for different types of outcome variables. Such nonlinear dependence is often not considered in applied research, yet nonlinear relationships are common and so need to be addressed. A standard linear analysis can produce misleading conclusions, while a nonlinear analysis can provide novel insights into data, not otherwise possible. A variety of examples of the benefits of modeling nonlinear relationships are presented throughout the book. Methods are covered using what are called fractional polynomials based on real-valued power transformations of primary predictor variables combined with model selection based on likelihood cross-validation. The book covers how to formulate and conduct such adaptive fractional polynomial modeling in the s...
Crime Modeling using Spatial Regression Approach
Saleh Ahmar, Ansari; Adiatma; Kasim Aidid, M.
2018-01-01
Act of criminality in Indonesia increased both variety and quantity every year. As murder, rape, assault, vandalism, theft, fraud, fencing, and other cases that make people feel unsafe. Risk of society exposed to crime is the number of reported cases in the police institution. The higher of the number of reporter to the police institution then the number of crime in the region is increasing. In this research, modeling criminality in South Sulawesi, Indonesia with the dependent variable used is the society exposed to the risk of crime. Modelling done by area approach is the using Spatial Autoregressive (SAR) and Spatial Error Model (SEM) methods. The independent variable used is the population density, the number of poor population, GDP per capita, unemployment and the human development index (HDI). Based on the analysis using spatial regression can be shown that there are no dependencies spatial both lag or errors in South Sulawesi.
Regression analysis for the social sciences
Gordon, Rachel A
2015-01-01
Provides graduate students in the social sciences with the basic skills they need to estimate, interpret, present, and publish basic regression models using contemporary standards. Key features of the book include: interweaving the teaching of statistical concepts with examples developed for the course from publicly-available social science data or drawn from the literature. thorough integration of teaching statistical theory with teaching data processing and analysis. teaching of Stata and use of chapter exercises in which students practice programming and interpretation on the same data set. A separate set of exercises allows students to select a data set to apply the concepts learned in each chapter to a research question of interest to them, all updated for this edition.
Entrepreneurial intention modeling using hierarchical multiple regression
Directory of Open Access Journals (Sweden)
Marina Jeger
2014-12-01
Full Text Available The goal of this study is to identify the contribution of effectuation dimensions to the predictive power of the entrepreneurial intention model over and above that which can be accounted for by other predictors selected and confirmed in previous studies. As is often the case in social and behavioral studies, some variables are likely to be highly correlated with each other. Therefore, the relative amount of variance in the criterion variable explained by each of the predictors depends on several factors such as the order of variable entry and sample specifics. The results show the modest predictive power of two dimensions of effectuation prior to the introduction of the theory of planned behavior elements. The article highlights the main advantages of applying hierarchical regression in social sciences as well as in the specific context of entrepreneurial intention formation, and addresses some of the potential pitfalls that this type of analysis entails.
Gaussian process regression for geometry optimization
Denzel, Alexander; Kästner, Johannes
2018-03-01
We implemented a geometry optimizer based on Gaussian process regression (GPR) to find minimum structures on potential energy surfaces. We tested both a two times differentiable form of the Matérn kernel and the squared exponential kernel. The Matérn kernel performs much better. We give a detailed description of the optimization procedures. These include overshooting the step resulting from GPR in order to obtain a higher degree of interpolation vs. extrapolation. In a benchmark against the Limited-memory Broyden-Fletcher-Goldfarb-Shanno optimizer of the DL-FIND library on 26 test systems, we found the new optimizer to generally reduce the number of required optimization steps.
Least square regularized regression in sum space.
Xu, Yong-Li; Chen, Di-Rong; Li, Han-Xiong; Liu, Lu
2013-04-01
This paper proposes a least square regularized regression algorithm in sum space of reproducing kernel Hilbert spaces (RKHSs) for nonflat function approximation, and obtains the solution of the algorithm by solving a system of linear equations. This algorithm can approximate the low- and high-frequency component of the target function with large and small scale kernels, respectively. The convergence and learning rate are analyzed. We measure the complexity of the sum space by its covering number and demonstrate that the covering number can be bounded by the product of the covering numbers of basic RKHSs. For sum space of RKHSs with Gaussian kernels, by choosing appropriate parameters, we tradeoff the sample error and regularization error, and obtain a polynomial learning rate, which is better than that in any single RKHS. The utility of this method is illustrated with two simulated data sets and five real-life databases.
Statistical learning from a regression perspective
Berk, Richard A
2016-01-01
This textbook considers statistical learning applications when interest centers on the conditional distribution of the response variable, given a set of predictors, and when it is important to characterize how the predictors are related to the response. As a first approximation, this can be seen as an extension of nonparametric regression. This fully revised new edition includes important developments over the past 8 years. Consistent with modern data analytics, it emphasizes that a proper statistical learning data analysis derives from sound data collection, intelligent data management, appropriate statistical procedures, and an accessible interpretation of results. A continued emphasis on the implications for practice runs through the text. Among the statistical learning procedures examined are bagging, random forests, boosting, support vector machines and neural networks. Response variables may be quantitative or categorical. As in the first edition, a unifying theme is supervised learning that can be trea...
Model Selection in Kernel Ridge Regression
DEFF Research Database (Denmark)
Exterkate, Peter
Kernel ridge regression is gaining popularity as a data-rich nonlinear forecasting tool, which is applicable in many different contexts. This paper investigates the influence of the choice of kernel and the setting of tuning parameters on forecast accuracy. We review several popular kernels......, including polynomial kernels, the Gaussian kernel, and the Sinc kernel. We interpret the latter two kernels in terms of their smoothing properties, and we relate the tuning parameters associated to all these kernels to smoothness measures of the prediction function and to the signal-to-noise ratio. Based...... on these interpretations, we provide guidelines for selecting the tuning parameters from small grids using cross-validation. A Monte Carlo study confirms the practical usefulness of these rules of thumb. Finally, the flexible and smooth functional forms provided by the Gaussian and Sinc kernels makes them widely...
Understanding psychological distress among pediatric cancer caregivers.
Nam, Gina E; Warner, Echo L; Morreall, Deborah K; Kirchhoff, Anne C; Kinney, Anita Y; Fluchel, Mark
2016-07-01
Few studies have examined distress in caregivers of pediatric cancer patients. We evaluated the association of socioeconomic, demographic, and patient clinical factors on caregivers' self-reported psychological distress associated with having a child with cancer. N = 366 pediatric cancer caregivers completed a self-administered questionnaire from July 2010 to July 2012. The Impact of Event Scale (IES), along with two subscales "intrusion" and "avoidance" measured caregiver cancer-specific distress, with higher scores indicating greater distress. Multivariable linear regression models were used to calculate coefficients (β) and 95 % confidence intervals (95 % CI) of IES by socioeconomic, demographic, and clinical factors. Average caregiver IES score was 31.2 (standard deviation (SD) = 16.9, range 0-75). Mean intrusion score was 18.1 (SD 9.8, range 0-35) and avoidance score was 12.8 (SD 9.0, range 0-40). Caregivers with household incomes psychological distress for caregivers of pediatric oncology patients. These findings underscore the importance of developing and testing interventions aimed at evaluating and addressing the psychosocial needs for high-risk caregivers in addition to those of patients.
Towards psychologically adaptive brain-computer interfaces
Myrden, A.; Chau, T.
2016-12-01
Objective. Brain-computer interface (BCI) performance is sensitive to short-term changes in psychological states such as fatigue, frustration, and attention. This paper explores the design of a BCI that can adapt to these short-term changes. Approach. Eleven able-bodied individuals participated in a study during which they used a mental task-based EEG-BCI to play a simple maze navigation game while self-reporting their perceived levels of fatigue, frustration, and attention. In an offline analysis, a regression algorithm was trained to predict changes in these states, yielding Pearson correlation coefficients in excess of 0.45 between the self-reported and predicted states. Two means of fusing the resultant mental state predictions with mental task classification were investigated. First, single-trial mental state predictions were used to predict correct classification by the BCI during each trial. Second, an adaptive BCI was designed that retrained a new classifier for each testing sample using only those training samples for which predicted mental state was similar to that predicted for the current testing sample. Main results. Mental state-based prediction of BCI reliability exceeded chance levels. The adaptive BCI exhibited significant, but practically modest, increases in classification accuracy for five of 11 participants and no significant difference for the remaining six despite a smaller average training set size. Significance. Collectively, these findings indicate that adaptation to psychological state may allow the design of more accurate BCIs.
Learning Inverse Rig Mappings by Nonlinear Regression.
Holden, Daniel; Saito, Jun; Komura, Taku
2017-03-01
We present a framework to design inverse rig-functions-functions that map low level representations of a character's pose such as joint positions or surface geometry to the representation used by animators called the animation rig. Animators design scenes using an animation rig, a framework widely adopted in animation production which allows animators to design character poses and geometry via intuitive parameters and interfaces. Yet most state-of-the-art computer animation techniques control characters through raw, low level representations such as joint angles, joint positions, or vertex coordinates. This difference often stops the adoption of state-of-the-art techniques in animation production. Our framework solves this issue by learning a mapping between the low level representations of the pose and the animation rig. We use nonlinear regression techniques, learning from example animation sequences designed by the animators. When new motions are provided in the skeleton space, the learned mapping is used to estimate the rig controls that reproduce such a motion. We introduce two nonlinear functions for producing such a mapping: Gaussian process regression and feedforward neural networks. The appropriate solution depends on the nature of the rig and the amount of data available for training. We show our framework applied to various examples including articulated biped characters, quadruped characters, facial animation rigs, and deformable characters. With our system, animators have the freedom to apply any motion synthesis algorithm to arbitrary rigging and animation pipelines for immediate editing. This greatly improves the productivity of 3D animation, while retaining the flexibility and creativity of artistic input.
DRREP: deep ridge regressed epitope predictor.
Sher, Gene; Zhi, Degui; Zhang, Shaojie
2017-10-03
The ability to predict epitopes plays an enormous role in vaccine development in terms of our ability to zero in on where to do a more thorough in-vivo analysis of the protein in question. Though for the past decade there have been numerous advancements and improvements in epitope prediction, on average the best benchmark prediction accuracies are still only around 60%. New machine learning algorithms have arisen within the domain of deep learning, text mining, and convolutional networks. This paper presents a novel analytically trained and string kernel using deep neural network, which is tailored for continuous epitope prediction, called: Deep Ridge Regressed Epitope Predictor (DRREP). DRREP was tested on long protein sequences from the following datasets: SARS, Pellequer, HIV, AntiJen, and SEQ194. DRREP was compared to numerous state of the art epitope predictors, including the most recently published predictors called LBtope and DMNLBE. Using area under ROC curve (AUC), DRREP achieved a performance improvement over the best performing predictors on SARS (13.7%), HIV (8.9%), Pellequer (1.5%), and SEQ194 (3.1%), with its performance being matched only on the AntiJen dataset, by the LBtope predictor, where both DRREP and LBtope achieved an AUC of 0.702. DRREP is an analytically trained deep neural network, thus capable of learning in a single step through regression. By combining the features of deep learning, string kernels, and convolutional networks, the system is able to perform residue-by-residue prediction of continues epitopes with higher accuracy than the current state of the art predictors.
Collaborative regression-based anatomical landmark detection
International Nuclear Information System (INIS)
Gao, Yaozong; Shen, Dinggang
2015-01-01
Anatomical landmark detection plays an important role in medical image analysis, e.g. for registration, segmentation and quantitative analysis. Among the various existing methods for landmark detection, regression-based methods have recently attracted much attention due to their robustness and efficiency. In these methods, landmarks are localised through voting from all image voxels, which is completely different from the classification-based methods that use voxel-wise classification to detect landmarks. Despite their robustness, the accuracy of regression-based landmark detection methods is often limited due to (1) the inclusion of uninformative image voxels in the voting procedure, and (2) the lack of effective ways to incorporate inter-landmark spatial dependency into the detection step. In this paper, we propose a collaborative landmark detection framework to address these limitations. The concept of collaboration is reflected in two aspects. (1) Multi-resolution collaboration. A multi-resolution strategy is proposed to hierarchically localise landmarks by gradually excluding uninformative votes from faraway voxels. Moreover, for informative voxels near the landmark, a spherical sampling strategy is also designed at the training stage to improve their prediction accuracy. (2) Inter-landmark collaboration. A confidence-based landmark detection strategy is proposed to improve the detection accuracy of ‘difficult-to-detect’ landmarks by using spatial guidance from ‘easy-to-detect’ landmarks. To evaluate our method, we conducted experiments extensively on three datasets for detecting prostate landmarks and head and neck landmarks in computed tomography images, and also dental landmarks in cone beam computed tomography images. The results show the effectiveness of our collaborative landmark detection framework in improving landmark detection accuracy, compared to other state-of-the-art methods. (paper)
Sources of stress and psychological morbidity among undergraduate physiotherapy students.
Walsh, J M; Feeney, C; Hussey, J; Donnellan, C
2010-09-01
Professional education can be a stressful experience for some individuals, and may impact negatively on emotional well-being and academic performance. Psychological morbidity and associated sources of stress have not been investigated extensively in physiotherapy students. This study explored sources of stress, psychological morbidity and possible associations between these variables in undergraduate physiotherapy students. A questionnaire-based survey. The Undergraduate Sources of Stress Questionnaire was used to identify sources of stress, and the General Health Questionnaire-12 (GHQ-12) was used to rate the prevalence of psychological morbidity, using a conservative GHQ threshold of 3 to 4 to determine probable 'cases'. Uni- and multivariate tests of correlation were used to analyse the data. An Irish educational institution. One hundred and twenty-five physiotherapy undergraduate students. More than one-quarter of all students (27%) scored above the GHQ threshold, indicating probable psychological morbidity. This is higher than the level of psychological morbidity reported by the general population. Regression analysis showed that academic (beta=0.31, Pphysiotherapy students, with academic and personal issues being the greatest concern. While personal causes of stress such as stressful events and mood are more difficult to control, manipulation of curricular factors may have positive effects on academic sources of stress. Copyright 2010 Chartered Society of Physiotherapy. Published by Elsevier Ltd. All rights reserved.
Raque-Bogdan, Trisha L.; Torrey, Carrie L.; Lewis, Brian L.; Borges, Nicole J.
2013-01-01
Training directors of American Psychological Association-approved counseling psychology doctoral programs completed a questionnaire assessing (a) student and faculty involvement in health-related research, practice, and teaching; (b) health-related research conducted by students and faculty; and (c) programs' expectations and ability to…
Sungkit, Flavia Norpina; Meiyanto, IJK Sito
2015-01-01
The purpose of the study is to investigate the influence of job enrichment toward employee engagement through psychological meaningfulness as the mediator. Research design used is a cross-sectional study of 112 employees. Data is analyzed by multiple linear regression analysis. Result shows job enrichment is able to influence employee engagement significantly through psychological meaningfulness as the mediator. The p=0,000 with significance level 0,05. The sig F change shows 0,006, which is
Patterns of electronic cigarette use and level of psychological distress.
Directory of Open Access Journals (Sweden)
Su Hyun Park
Full Text Available Psychological distress has been correlated with higher levels of nicotine dependence. To date, the possible association between individuals' levels of psychological distress and e-cigarette use has not been investigated, despite the dramatic growth of e-cigarette use in the US. We examined this possible association using a nationally representative sample of US adults.A total of 36,697 adults from the 2014 National Health Interview Survey (NHIS were included. The Kessler 6 scale was used to measure psychological distress. Multivariate logistic regression analysis was conducted to assess the association between level of psychological distress and e-cigarette use.Both e-cigarette and cigarette use varied according to level of psychological distress as well as multiple socio-demographic characteristics. In a multivariate model, psychological distress was significantly associated with the following groups: (a exclusive e-cigarette ever-use (aOR = 3.7; 95% CI = 1.6, 8.6, (b current dual use of e-cigarettes and cigarettes (aOR = 4.6; 95% CI = 3.1, 6.7, (c former cigarette use and ever use of e-cigarette (aOR = 3.2; 95% CI = 2.2, 4.8 and (d current use of cigarettes only (aOR = 2.1; 95% CI = 1.7, 2.6.These are the first data to demonstrate that, as is true for cigarettes, e-cigarette use is associated with increased levels of psychological distress. Further large-scale, longitudinal studies are needed to determine the direction of this relationship and to evaluate the long-term positive and negative consequences of such use.
Psychology and Optometry: Interaction and Collaboration.
Biaggio, Mary Kay; Bittner, Erika
1990-01-01
Because a number of vision conditions have psychological components and some psychological conditions may be complicated by vision difficulties, interdisciplinary cooperation between clinical psychology and optometry should prove fruitful for the diagnosis, treatment, and management of health problems. (EVL)
Logistic regression applied to natural hazards: rare event logistic regression with replications
Directory of Open Access Journals (Sweden)
M. Guns
2012-06-01
Full Text Available Statistical analysis of natural hazards needs particular attention, as most of these phenomena are rare events. This study shows that the ordinary rare event logistic regression, as it is now commonly used in geomorphologic studies, does not always lead to a robust detection of controlling factors, as the results can be strongly sample-dependent. In this paper, we introduce some concepts of Monte Carlo simulations in rare event logistic regression. This technique, so-called rare event logistic regression with replications, combines the strength of probabilistic and statistical methods, and allows overcoming some of the limitations of previous developments through robust variable selection. This technique was here developed for the analyses of landslide controlling factors, but the concept is widely applicable for statistical analyses of natural hazards.
Logistic regression applied to natural hazards: rare event logistic regression with replications
Guns, M.; Vanacker, V.
2012-06-01
Statistical analysis of natural hazards needs particular attention, as most of these phenomena are rare events. This study shows that the ordinary rare event logistic regression, as it is now commonly used in geomorphologic studies, does not always lead to a robust detection of controlling factors, as the results can be strongly sample-dependent. In this paper, we introduce some concepts of Monte Carlo simulations in rare event logistic regression. This technique, so-called rare event logistic regression with replications, combines the strength of probabilistic and statistical methods, and allows overcoming some of the limitations of previous developments through robust variable selection. This technique was here developed for the analyses of landslide controlling factors, but the concept is widely applicable for statistical analyses of natural hazards.
Smith, Paul F; Ganesh, Siva; Liu, Ping
2013-10-30
Regression is a common statistical tool for prediction in neuroscience. However, linear regression is by far the most common form of regression used, with regression trees receiving comparatively little attention. In this study, the results of conventional multiple linear regression (MLR) were compared with those of random forest regression (RFR), in the prediction of the concentrations of 9 neurochemicals in the vestibular nucleus complex and cerebellum that are part of the l-arginine biochemical pathway (agmatine, putrescine, spermidine, spermine, l-arginine, l-ornithine, l-citrulline, glutamate and γ-aminobutyric acid (GABA)). The R(2) values for the MLRs were higher than the proportion of variance explained values for the RFRs: 6/9 of them were ≥ 0.70 compared to 4/9 for RFRs. Even the variables that had the lowest R(2) values for the MLRs, e.g. ornithine (0.50) and glutamate (0.61), had much lower proportion of variance explained values for the RFRs (0.27 and 0.49, respectively). The RSE values for the MLRs were lower than those for the RFRs in all but two cases. In general, MLRs seemed to be superior to the RFRs in terms of predictive value and error. In the case of this data set, MLR appeared to be superior to RFR in terms of its explanatory value and error. This result suggests that MLR may have advantages over RFR for prediction in neuroscience with this kind of data set, but that RFR can still have good predictive value in some cases. Copyright © 2013 Elsevier B.V. All rights reserved.
Directory of Open Access Journals (Sweden)
Lori Marino
2017-11-01
Full Text Available Domestic cows (Bos taurus are consumed worldwide as beef and veal, kept as dairy product producers, employed as draft animals in labor, and are used for a long list of other products, including leather and manure. But despite global reliance on cows for thousands of years, most people’s perception of them is as plodding herd animals with little individual personality and very simple social relationships or preferences. Yet, a review of the scientific literature on cow behavior points to more complex cognitive, emotional and social characteristics. Moreover, when cow behavior is addressed, it is almost entirely done within the framework of and applied to their use as food commodities. Therefore, there is relatively little attention to the study of cow intelligence, personality and sociality at a basic comparative level. In this review, we examine the current state of scientific knowledge about cows within an objective comparative framework, describing their cognitive, emotional, and social characteristics. Our aim is to provide a more veridical and objective current summary of cow psychology on its own terms and in ways which will facilitate better-informed comparisons with other animals. Moreover, an understanding of the capabilities and characteristics of domestic cows will, it is hoped, advance our understanding of who they are as individuals.
Psychological stress in sarcoidosis.
Wilsher, Margaret L
2012-09-01
Sarcoidosis is a chronic illness associated with emotional and physical consequences which impact on quality of life. Although the impact of fatigue is well understood, emotional impacts of sarcoidosis are less commonly recognized and addressed in routine clinical practice. The purpose of this review is to highlight that sarcoidosis can result in considerable psychological distress. Not only is there a high prevalence of depressive symptoms in sarcoidosis, but clinical depressive and anxiety disorders are more common than seen in the general population. Patients with sarcoidosis have perceptions and beliefs about their disease that may impact on their willingness to engage in recommended therapies. They may also exhibit a disordered perception of their disease and a personality profile of neuroticism. Understanding the minimally important clinical difference in the Fatigue Assessment Scale (FAS) and validation of the Sarcoidosis Health Questionnaire (SHQ) across different populations supports the use of these tools in routine clinical practice and clinical trials. Understanding the global impact of sarcoidosis is important for patients and clinicians, and use of validated instruments, such as the SHQ and FAS, allows for more comprehensive assessment of the disease and the impact of any interventions.
My relational self psychology.
Teicholz, Judith Guss
2009-04-01
In this article, I suggest recent sources of influence on psychoanalysis and describe a contemporary relational self psychology that is my personal attempt at integration. Even with this integration, I struggle to find the right "therapeutic" balance between my essential but imperfect instrument for empathic listening, on the one hand, and the risks of authentic engagement, on the other. These dialectical tensions in me mirror those in the psychoanalytic community as a whole, poised between a scientifically based practice and a healing "art"--or between a complex but teachable methodology or discipline-and an ordinary (yet extraordinary) human relationship in which spontaneity and even improvisation play a role. Complicating this balancing act, there is new evidence from neuroscientists, attachment theorists, and infant-caregiver researchers that, from birth onward, bidirectional influences on brain and psychic development create contingent and unpredictable outcomes in every intimately related dyad. Thus, the contemporary analyst must expect to be changed by the work and--while taking full responsibility for his or her own contribution--must recognize patient and analyst as co-creators of the psychoanalytic project. At the same time that we now recognize contingency, complexity, and chaos at the heart of human minds and relationships, we also acknowledge the central importance of a sense of continuity and coherence as the individual undertakes the pursuit of goals and relationships in life. What kind of relationship can facilitate these qualities in the sense of self? That is the question that this article undertakes to answer.
Ridge regression estimator: combining unbiased and ordinary ridge regression methods of estimation
Directory of Open Access Journals (Sweden)
Sharad Damodar Gore
2009-10-01
Full Text Available Statistical literature has several methods for coping with multicollinearity. This paper introduces a new shrinkage estimator, called modified unbiased ridge (MUR. This estimator is obtained from unbiased ridge regression (URR in the same way that ordinary ridge regression (ORR is obtained from ordinary least squares (OLS. Properties of MUR are derived. Results on its matrix mean squared error (MMSE are obtained. MUR is compared with ORR and URR in terms of MMSE. These results are illustrated with an example based on data generated by Hoerl and Kennard (1975.