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…
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
The need to control for regression to the mean in social psychology studies.
Yu, Rongjun; Chen, Li
2014-01-01
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 (Klucharev et al., 2009, 2011; Sharot et al., 2011, 2012b; Campbell-Meiklejohn et al., 2012; Kim et al., 2012; Garrett and Sharot, 2014). 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 (Klucharev et al., 2009). 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 (Sharot et al., 2011). 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, such as adding the initial rating as a covariate in regression analysis, selecting a subset of stimuli for which the participant' initial ratings were matched across experimental conditions, and using a control group.
The need to control for regression to the mean in social psychology studies
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.
Data mining in psychological treatment research: a primer on classification and regression trees.
King, Matthew W; Resick, Patricia A
2014-10-01
Data mining of treatment study results can reveal unforeseen but critical insights, such as who receives the most benefit from treatment and under what circumstances. The usefulness and legitimacy of exploratory data analysis have received relatively little recognition, however, and analytic methods well suited to the task are not widely known in psychology. With roots in computer science and statistics, statistical learning approaches offer a credible option: These methods take a more inductive approach to building a model than is done in traditional regression, allowing the data greater role in suggesting the correct relationships between variables rather than imposing them a priori. Classification and regression trees are presented as a powerful, flexible exemplar of statistical learning methods. Trees allow researchers to efficiently identify useful predictors of an outcome and discover interactions between predictors without the need to anticipate and specify these in advance, making them ideal for revealing patterns that inform hypotheses about treatment effects. Trees can also provide a predictive model for forecasting outcomes as an aid to clinical decision making. This primer describes how tree models are constructed, how the results are interpreted and evaluated, and how trees overcome some of the complexities of traditional regression. Examples are drawn from randomized clinical trial data and highlight some interpretations of particular interest to treatment researchers. The limitations of tree models are discussed, and suggestions for further reading and choices in software are offered.
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.
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.
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
Robinson, Jo; Spittal, Matthew J; Carter, Greg
2016-01-01
Objective To examine the efficacy of psychological and psychosocial interventions for reductions in repeated self-harm. Design We conducted a systematic review, meta-analysis and meta-regression to examine the efficacy of psychological and psychosocial interventions to reduce repeat self-harm in adults. We included a sensitivity analysis of studies with a low risk of bias for the meta-analysis. For the meta-regression, we examined whether the type, intensity (primary analyses) and other components of intervention or methodology (secondary analyses) modified the overall intervention effect. Data sources A comprehensive search of MEDLINE, PsycInfo and EMBASE (from 1999 to June 2016) was performed. Eligibility criteria for selecting studies Randomised controlled trials of psychological and psychosocial interventions for adult self-harm patients. Results Forty-five trials were included with data available from 36 (7354 participants) for the primary analysis. Meta-analysis showed a significant benefit of all psychological and psychosocial interventions combined (risk ratio 0.84; 95% CI 0.74 to 0.96; number needed to treat=33); however, sensitivity analyses showed that this benefit was non-significant when restricted to a limited number of high-quality studies. Meta-regression showed that the type of intervention did not modify the treatment effects. Conclusions Consideration of a psychological or psychosocial intervention over and above treatment as usual is worthwhile; with the public health benefits of ensuring that this practice is widely adopted potentially worth the investment. However, the specific type and nature of the intervention that should be delivered is not yet clear. Cognitive–behavioural therapy or interventions with an interpersonal focus and targeted on the precipitants to self-harm may be the best candidates on the current evidence. Further research is required. PMID:27660314
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.
Blackmore, Susan; Fouad, Nadya; Kagan, Jerome; Kosslyn, Stephen; Posner, Michael; Sternburg, Robert; Driscoll, Marcy; Ge, Xun; Parrish, Patrick
2013-01-01
Scholars representing the field of psychology were asked to identify what they considered to be the most exciting and imaginative work currently being done in their field, as well as how that work might change our understanding. The scholars included Susan Blackmore, Nadya Fouad, Jerome Kagan, Stephen Kosslyn, Michael Posner, and Robert Sternberg.…
Blackmore, Susan; Fouad, Nadya; Kagan, Jerome; Kosslyn, Stephen; Posner, Michael; Sternburg, Robert; Driscoll, Marcy; Ge, Xun; Parrish, Patrick
2013-01-01
Scholars representing the field of psychology were asked to identify what they considered to be the most exciting and imaginative work currently being done in their field, as well as how that work might change our understanding. The scholars included Susan Blackmore, Nadya Fouad, Jerome Kagan, Stephen Kosslyn, Michael Posner, and Robert Sternberg.…
Moreno-Peral, Patricia; Conejo-Cerón, Sonia; Rubio-Valera, Maria; Fernández, Anna; Navas-Campaña, Desirée; Rodríguez-Morejón, Alberto; Motrico, Emma; Rigabert, Alina; Luna, Juan de Dios; Martín-Pérez, Carlos; Rodríguez-Bayón, Antonina; Ballesta-Rodríguez, María Isabel; Luciano, Juan Vicente; Bellón, Juan Ángel
2017-09-06
To our knowledge, no systematic reviews or meta-analyses have been conducted to assess the effectiveness of preventive psychological and/or educational interventions for anxiety in varied populations. To evaluate the effectiveness of preventive psychological and/or educational interventions for anxiety in varied population types. A systematic review and meta-analysis was conducted based on literature searches of MEDLINE, PsycINFO, Web of Science, EMBASE, OpenGrey, Cochrane Central Register of Controlled Trials, and other sources from inception to March 7, 2017. A search was performed of randomized clinical trials assessing the effectiveness of preventive psychological and/or educational interventions for anxiety in varying populations free of anxiety at baseline as measured using validated instruments. There was no setting or language restriction. Eligibility criteria assessment was conducted by 2 of us. Data extraction and assessment of risk of bias (Cochrane Collaboration's tool) were performed by 2 of us. Pooled standardized mean differences (SMDs) were calculated using random-effect models. Heterogeneity was explored by random-effects meta-regression. Incidence of new cases of anxiety disorders or reduction of anxiety symptoms as measured by validated instruments. Of the 3273 abstracts reviewed, 131 were selected for full-text review, and 29 met the inclusion criteria, representing 10 430 patients from 11 countries on 4 continents. Meta-analysis calculations were based on 36 comparisons. The pooled SMD was -0.31 (95% CI, -0.40 to -0.21; P educational interventions had a small but statistically significant benefit for anxiety prevention in all populations evaluated. Although more studies with larger samples and active comparators are needed, these findings suggest that anxiety prevention programs should be further developed and implemented.
定序变量回归模型在心理数据分析中的应用%A Regression Analysis Model of Ordinal Variable to Psychological Data
徐芃; 祁禄; 熊健; 叶浩生
2015-01-01
定序变量在心理现象和心理数据中随处可见, 采用综合的定序变量回归分析模型可以对"镜像模式"和"漏斗模型"的心理现象做出合理的解释和预测.首先通过非参数检验对影响因素进行初步降维, 其次用 Probit 定序回归对降维后的影响因素贡献率进行判别, 从而进一步筛选具有显著性判断水平的有效指标,最后用Logistic回归模型对某种特定的心理现象发生与否进行信息量足够大的解释和预测.大学毕业生工作生活质量满意度的预测对这种综合定序变量回归分析模型的实例拟合, 证实了综合定序变量回归分析模型在心理现象和心理数据分析中的应用价值.%Ordinal variables are the common form of categorical variables in random phenomenon. Ordinal data which is formed from the level of ordinal variables by sequencing scale measurement has been widely used in psychological research. Psychological data is a kind of data from randomized hidden variable, which seems to be noticeable but could not be touched such as degree of satisfaction, preference degree, cognition degree, sentiment perceptibility, behavioral level and so on. The mental impression is hard to be calculated. To be exposed for calculated ordinal data is a kind of judgment standard or decision threshold criteria of an individual psychological activity in implicit psychological data. When a certain degree of psychological feeling happens to be just between two adjacent thresholds, the individual would be given a numerical value like a scale to project this "Mirror mode" of the psychological decision threshold criteria. Meanwhile, people are always concerned about what factors or conditions decide the high-low of threshold value of these ordinal variables based on cognitive instinct. This sort of "Hopper model" which is used to study the factors affecting to the psychological decision threshold criteria is a typical regression model. The paper
Hao, Lingxin
2007-01-01
Quantile Regression, the first book of Hao and Naiman's two-book series, establishes the seldom recognized link between inequality studies and quantile regression models. Though separate methodological literature exists for each subject, the authors seek to explore the natural connections between this increasingly sought-after tool and research topics in the social sciences. Quantile regression as a method does not rely on assumptions as restrictive as those for the classical linear regression; though more traditional models such as least squares linear regression are more widely utilized, Hao
姜永志; 张海钟
2012-01-01
社会表征理论是科学主义心理学陷入困境、心理学研究多元取向的背景下产生的研究群体心理的理论。该理论强调应将心理现象置于历史的、社会的、文化的宏观视野中加以研究,强调群体共享的社会认知结构对群体交往产生的影响,它回归了人本主义研究传统。文章通过对社会表征理论的产生背景、基本概念的梳理,进一步揭示它的人本主义回归的意义。%Social representation theory is a theory of group mind, produced when scientific psychology in predicament and psychological researches multi-oriented. The theory emphasizes that psychological phenomenon should be studied in historical, social, and cultural contexts, and that cognitive structures shared among social groups affect group interaction, which returns to the tradition of humanistic research. This paper first presents an overview of its background and basic concepts, and then reveals the significance of humanistic regression.
Kahane, Leo H
2007-01-01
Using a friendly, nontechnical approach, the Second Edition of Regression Basics introduces readers to the fundamentals of regression. Accessible to anyone with an introductory statistics background, this book builds from a simple two-variable model to a model of greater complexity. Author Leo H. Kahane weaves four engaging examples throughout the text to illustrate not only the techniques of regression but also how this empirical tool can be applied in creative ways to consider a broad array of topics. New to the Second Edition Offers greater coverage of simple panel-data estimation:
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 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…
Nick, Todd G; Campbell, Kathleen M
2007-01-01
The Medical Subject Headings (MeSH) thesaurus used by the National Library of Medicine defines logistic regression models as "statistical models which describe the relationship between a qualitative dependent variable (that is, one which can take only certain discrete values, such as the presence or absence of a disease) and an independent variable." Logistic regression models are used to study effects of predictor variables on categorical outcomes and normally the outcome is binary, such as presence or absence of disease (e.g., non-Hodgkin's lymphoma), in which case the model is called a binary logistic model. When there are multiple predictors (e.g., risk factors and treatments) the model is referred to as a multiple or multivariable logistic regression model and is one of the most frequently used statistical model in medical journals. In this chapter, we examine both simple and multiple binary logistic regression models and present related issues, including interaction, categorical predictor variables, continuous predictor variables, and goodness of fit.
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...
钟文娟; 黄万琪; 张银友; 贺尊
2007-01-01
all subjects in both experiment groups, there were 173 males and 262 females with an average age of 19.2 years. METHODS: ① The subjects in the two experiment groups were investigated of the psychological health by SCL-90 as well as the personality characteristics and Eysenck Personality Questionnaire (EPQ) (For Adult). The EPQ statistic software designed by the Institute for Juvenile and Children, Tongji Medical College of Huazhong University of Science and Technology was adopted to acquire the E score (introversion, extroversion), N score (nervousness), P score (psychoticism), L score (conceal) and quantity form quadrant of E-N coordinate picture, so as to define the tendencies of characters. ② The psychological problem was considered to be the dependent variable, while all relevant factors (The influencing factors of psychological problem included the understanding from parents, relationship with family members, desire for learning, personality characteristics, over-high P score, over-high/low E score, over-high/low N score) were taken as the independent variable. Single-factor Logistic regression analysis was conducted at 1:2. ③ Based on 1:2 single-factor Logistic regression analysis, the variances were selected from factors of P ＜ 0.01 together with the Logistic regression models of multifactor at 1:2 by stepwise regression method.MAIN OUTCOME MEASURES: ① Comparison in the SCL-90 score between the psychological problem group and the normai control group. ② Single-factor and multivariate analysis of the relevant factors of psychological problems. RESULTS: A total of 435 enrolled students were involved in the analysis of results. ① The average score of somatization, compulsion, interpersonal sensitivity, depression, anxiety, hostility, phobia, paranoid and schizophrenia in students of the psychological problem group was higher than that in the normal control group (t=-13.39, 29.64, 27.09, 26.04, 19.52, 18.13, 14.15, 18.61, 22.41, P＜ 0.01). ② Nine
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.…
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.…
吕戎; 巩世广
2012-01-01
The psychological health status of 5806 students of grade 2010 is investigated by the psychologieal health center of Nanjing University of Finance & Economics so as to test the factors influencing psychological health by the use of data. Multi-linear regression model is established to illustrate the influence of various factors on psychological health, and the statistic data and calculating results are used to manifest the influencing degree of each factor on psychological health, thus the psychological health education can be carried out purposely.%南京财经大学心理健康指导中心对5806名2010级学生进行了心理健康状况调查，根据问卷调查数据印证影响心理健康的因素．通过建立多元线性回归模型阐明各因素对心理健康的影响，并用统计数据及模型的计算结果来较为精确地说明各因素对心理健康的影响程度，以便于有针对性地开展心理健康教育工作．
Regression analysis by example
Chatterjee, Samprit; Hadi, Ali S
2012-01-01
.... The emphasis continues to be on exploratory data analysis rather than statistical theory. The coverage offers in-depth treatment of regression diagnostics, transformation, multicollinearity, logistic regression, and robust regression...
Polynomial Regressions and Nonsense Inference
Daniel Ventosa-Santaulària
2013-11-01
Full Text Available Polynomial specifications are widely used, not only in applied economics, but also in epidemiology, physics, political analysis and psychology, just to mention a few examples. In many cases, the data employed to estimate such specifications are time series that may exhibit stochastic nonstationary behavior. We extend Phillips’ results (Phillips, P. Understanding spurious regressions in econometrics. J. Econom. 1986, 33, 311–340. by proving that an inference drawn from polynomial specifications, under stochastic nonstationarity, is misleading unless the variables cointegrate. We use a generalized polynomial specification as a vehicle to study its asymptotic and finite-sample properties. Our results, therefore, lead to a call to be cautious whenever practitioners estimate polynomial regressions.
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 e...
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
Unitary Response Regression Models
Lipovetsky, S.
2007-01-01
The dependent variable in a regular linear regression is a numerical variable, and in a logistic regression it is a binary or categorical variable. In these models the dependent variable has varying values. However, there are problems yielding an identity output of a constant value which can also be modelled in a linear or logistic regression with…
Flexible survival regression modelling
Cortese, Giuliana; Scheike, Thomas H; Martinussen, Torben
2009-01-01
Regression analysis of survival data, and more generally event history data, is typically based on Cox's regression model. We here review some recent methodology, focusing on the limitations of Cox's regression model. The key limitation is that the model is not well suited to represent time-varyi...
Fitzenberger, Bernd; Wilke, Ralf Andreas
2015-01-01
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 m...... treatment of the topic is based on the perspective of applied researchers using quantile regression in their empirical work....
Naghshpour, Shahdad
2012-01-01
Regression analysis is the most commonly used statistical method in the world. Although few would characterize this technique as simple, regression is in fact both simple and elegant. The complexity that many attribute to regression analysis is often a reflection of their lack of familiarity with the language of mathematics. But regression analysis can be understood even without a mastery of sophisticated mathematical concepts. This book provides the foundation and will help demystify regression analysis using examples from economics and with real data to show the applications of the method. T
Young South African Adults' Perceptions Of Parental Psychological Control And Antisocial Behavior
Roman, Nicolette Vanessa; Human, Anja; Hiss, Donavon
2012-01-01
.... Additionally, the results of the hierarchical regression analysis suggest that maternal psychological control, compared to paternal psychological control, was a stronger predictor of antisocial behavior...
Autistic epileptiform regression.
Canitano, Roberto; Zappella, Michele
2006-01-01
Autistic regression is a well known condition that occurs in one third of children with pervasive developmental disorders, who, after normal development in the first year of life, undergo a global regression during the second year that encompasses language, social skills and play. In a portion of these subjects, epileptiform abnormalities are present with or without seizures, resembling, in some respects, other epileptiform regressions of language and behaviour such as Landau-Kleffner syndrome. In these cases, for a more accurate definition of the clinical entity, the term autistic epileptifom regression has been suggested. As in other epileptic syndromes with regression, the relationships between EEG abnormalities, language and behaviour, in autism, are still unclear. We describe two cases of autistic epileptiform regression selected from a larger group of children with autistic spectrum disorders, with the aim of discussing the clinical features of the condition, the therapeutic approach and the outcome.
Scaled Sparse Linear Regression
Sun, Tingni
2011-01-01
Scaled sparse linear regression jointly estimates the regression coefficients and noise level in a linear model. It chooses an equilibrium with a sparse regression method by iteratively estimating the noise level via the mean residual squares and scaling the penalty in proportion to the estimated noise level. The iterative algorithm costs nearly nothing beyond the computation of a path of the sparse regression estimator for penalty levels above a threshold. For the scaled Lasso, the algorithm is a gradient descent in a convex minimization of a penalized joint loss function for the regression coefficients and noise level. Under mild regularity conditions, we prove that the method yields simultaneously an estimator for the noise level and an estimated coefficient vector in the Lasso path satisfying certain oracle inequalities for the estimation of the noise level, prediction, and the estimation of regression coefficients. These oracle inequalities provide sufficient conditions for the consistency and asymptotic...
Regression in children with autism spectrum disorders.
Malhi, Prahbhjot; Singhi, Pratibha
2012-10-01
To understand the characteristics of autistic regression and to compare the clinical and developmental profile of children with autism spectrum disorders (ASD) in whom parents report developmental regression with age matched ASD children in whom no regression is reported. Participants were 35 (Mean age = 3.57 y, SD = 1.09) children with ASD in whom parents reported developmental regression before age 3 y and a group of age and IQ matched 35 ASD children in whom parents did not report regression. All children were recruited from the outpatient Child Psychology Clinic of the Department of Pediatrics of a tertiary care teaching hospital in North India. Multi-disciplinary evaluations including neurological, diagnostic, cognitive, and behavioral assessments were done. Parents were asked in detail about the age at onset of regression, type of regression, milestones lost, and event, if any, related to the regression. In addition, the Childhood Autism Rating Scale (CARS) was administered to assess symptom severity. The mean age at regression was 22.43 mo (SD = 6.57) and large majority (66.7%) of the parents reported regression between 12 and 24 mo. Most (75%) of the parents of the regression-autistic group reported regression in the language domain, particularly in the expressive language sector, usually between 18 and 24 mo of age. Regression of language was not an isolated phenomenon and regression in other domains was also reported including social skills (75%), cognition (31.25%). In majority of the cases (75%) the regression reported was slow and subtle. There were no significant differences in the motor, social, self help, and communication functioning between the two groups as measured by the DP II.There were also no significant differences between the two groups on the total CARS score and total number of DSM IV symptoms endorsed. However, the regressed children had significantly (t = 2.36, P = .021) more social deficits as per the DSM IV as
Rolling Regressions with Stata
Kit Baum
2004-01-01
This talk will describe some work underway to add a "rolling regression" capability to Stata's suite of time series features. Although commands such as "statsby" permit analysis of non-overlapping subsamples in the time domain, they are not suited to the analysis of overlapping (e.g. "moving window") samples. Both moving-window and widening-window techniques are often used to judge the stability of time series regression relationships. We will present an implementation of a rolling regression...
Guijun YANG; Lu LIN; Runchu ZHANG
2007-01-01
Quasi-regression, motivated by the problems arising in the computer experiments, focuses mainly on speeding up evaluation. However, its theoretical properties are unexplored systemically. This paper shows that quasi-regression is unbiased, strong convergent and asymptotic normal for parameter estimations but it is biased for the fitting of curve. Furthermore, a new method called unbiased quasi-regression is proposed. In addition to retaining the above asymptotic behaviors of parameter estimations, unbiased quasi-regression is unbiased for the fitting of curve.
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
Weisberg, Sanford
2005-01-01
Master linear regression techniques with a new edition of a classic text Reviews of the Second Edition: ""I found it enjoyable reading and so full of interesting material that even the well-informed reader will probably find something new . . . a necessity for all of those who do linear regression."" -Technometrics, February 1987 ""Overall, I feel that the book is a valuable addition to the now considerable list of texts on applied linear regression. It should be a strong contender as the leading text for a first serious course in regression analysis."" -American Scientist, May-June 1987
Gerber, Samuel [Univ. of Utah, Salt Lake City, UT (United States); Rubel, Oliver [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Bremer, Peer -Timo [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); Pascucci, Valerio [Univ. of Utah, Salt Lake City, UT (United States); Whitaker, Ross T. [Univ. of Utah, Salt Lake City, UT (United States)
2012-01-19
This paper introduces a novel partition-based regression approach that incorporates topological information. Partition-based regression typically introduces a quality-of-fit-driven decomposition of the domain. The emphasis in this work is on a topologically meaningful segmentation. Thus, the proposed regression approach is based on a segmentation induced by a discrete approximation of the Morse–Smale complex. This yields a segmentation with partitions corresponding to regions of the function with a single minimum and maximum that are often well approximated by a linear model. This approach yields regression models that are amenable to interpretation and have good predictive capacity. Typically, regression estimates are quantified by their geometrical accuracy. For the proposed regression, an important aspect is the quality of the segmentation itself. Thus, this article introduces a new criterion that measures the topological accuracy of the estimate. The topological accuracy provides a complementary measure to the classical geometrical error measures and is very sensitive to overfitting. The Morse–Smale regression is compared to state-of-the-art approaches in terms of geometry and topology and yields comparable or improved fits in many cases. Finally, a detailed study on climate-simulation data demonstrates the application of the Morse–Smale regression. Supplementary Materials are available online and contain an implementation of the proposed approach in the R package msr, an analysis and simulations on the stability of the Morse–Smale complex approximation, and additional tables for the climate-simulation study.
Bordacconi, Mats Joe; Larsen, Martin Vinæs
2014-01-01
Humans are fundamentally primed for making causal attributions based on correlations. This implies that researchers must be careful to present their results in a manner that inhibits unwarranted causal attribution. In this paper, we present the results of an experiment that suggests 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...... 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...
... IBS Pain IBS Global Treatments IBS Diet Low FODMAP Diet Complimentary or Alt Treatments Medications Psychological Treatments ... IBS Pain IBS Global Treatments IBS Diet Low FODMAP Diet Complimentary or Alt Treatments Medications Psychological Treatments ...
沈洁; 张朋; 刘福康; 王婷婷; 孙桂菊; 刘江红
2011-01-01
Objective To analyze the effect of behavior characteristics of children on diet behavior, providing scientific knowledge for nutrition instruction. Methods A total of 302 fifth-grade primary school children from Jintan were selected. A questionnaire survey on nutritional behavior and psychological behavior was conducted among them from June to July 2010. The effect factors of diet behavior were analyzed with univariate linear regression. The variable (P < 0.05 in univariate regression model) was selected to establish multivariate regression model. Results The univariate linear regression analysis showed that anxious/depressed, social problems, thought problems, attention problems, aggressive behavior score and total score in boys and girls were negatively correlated with diet behavior score. Multiple linear regressions showed that attention problem scores in boys and thougHt problem scores in girls were negatively correlated with diet behavior score. Conclusion The findings demonstrate that psychological behaviors of school-age children are closely associated with diet behaviors. It is necessary to add health-related curriculum on risk behaviors prevention into quality education, carry out comprehensive behavior surveillance on psychology, nutrition and diet, and conduct early intervention in adolescents.%目的 分析学龄儿童心理行为特点对其饮食行为的影响,为有针对性地对其进行营养教育提供科学依据.方法 选择江苏省金坛市302名五年级儿童作为研究对象,于2010年5月至6月对其进行饮食行为和心理行为问题的问卷调查.利用单因素线性回归分析饮食行为的影响因素,从单因素分析结果中选择P＜ 0.05的变量建立多元线性回归模型.结果 单因素线性回归分析显示,不同性别间焦虑抑郁、社交问题、思维问题、注意缺陷、攻击行为因子分及总分与饮食量表得分负相关；多元线性回归分析显示,男性儿童注意缺陷
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.
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-
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
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 psycholog
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…
Transductive Ordinal Regression
Seah, Chun-Wei; Ong, Yew-Soon
2011-01-01
Ordinal regression is commonly formulated as a multi-class problem with ordinal constraints. The challenge of designing accurate classifiers for ordinal regression generally increases with the number of classes involved, due to the large number of labeled patterns that are needed. The availability of ordinal class labels, however, are often costly to calibrate or difficult to obtain. Unlabeled patterns, on the other hand, often exist in much greater abundance and are freely available. To take benefits from the abundance of unlabeled patterns, we present a novel transductive learning paradigm for ordinal regression in this paper, namely Transductive Ordinal Regression (TOR). The key challenge of the present study lies in the precise estimation of both the ordinal class label of the unlabeled data and the decision functions of the ordinal classes, simultaneously. The core elements of the proposed TOR include an objective function that caters to several commonly used loss functions casted in transductive setting...
Nonparametric Predictive Regression
Ioannis Kasparis; Elena Andreou; Phillips, Peter C.B.
2012-01-01
A unifying framework for inference is developed in predictive regressions where the predictor has unknown integration properties and may be stationary or nonstationary. Two easily implemented nonparametric F-tests are proposed. The test statistics are related to those of Kasparis and Phillips (2012) and are obtained by kernel regression. The limit distribution of these predictive tests holds for a wide range of predictors including stationary as well as non-stationary fractional and near unit...
[Understanding logistic regression].
El Sanharawi, M; Naudet, F
2013-10-01
Logistic regression is one of the most common multivariate analysis models utilized in epidemiology. It allows the measurement of the association between the occurrence of an event (qualitative dependent variable) and factors susceptible to influence it (explicative variables). The choice of explicative variables that should be included in the logistic regression model is based on prior knowledge of the disease physiopathology and the statistical association between the variable and the event, as measured by the odds ratio. The main steps for the procedure, the conditions of application, and the essential tools for its interpretation are discussed concisely. We also discuss the importance of the choice of variables that must be included and retained in the regression model in order to avoid the omission of important confounding factors. Finally, by way of illustration, we provide an example from the literature, which should help the reader test his or her knowledge.
Constrained Sparse Galerkin Regression
Loiseau, Jean-Christophe
2016-01-01
In this work, we demonstrate the use of sparse regression techniques from machine learning to identify nonlinear low-order models of a fluid system purely from measurement data. In particular, we extend the sparse identification of nonlinear dynamics (SINDy) algorithm to enforce physical constraints in the regression, leading to energy conservation. The resulting models are closely related to Galerkin projection models, but the present method does not require the use of a full-order or high-fidelity Navier-Stokes solver to project onto basis modes. Instead, the most parsimonious nonlinear model is determined that is consistent with observed measurement data and satisfies necessary constraints. The constrained Galerkin regression algorithm is implemented on the fluid flow past a circular cylinder, demonstrating the ability to accurately construct models from data.
Practical Session: Logistic Regression
Clausel, M.; Grégoire, G.
2014-12-01
An exercise is proposed to illustrate the logistic regression. One investigates the different risk factors in the apparition of coronary heart disease. It has been proposed in Chapter 5 of the book of D.G. Kleinbaum and M. Klein, "Logistic Regression", Statistics for Biology and Health, Springer Science Business Media, LLC (2010) and also by D. Chessel and A.B. Dufour in Lyon 1 (see Sect. 6 of http://pbil.univ-lyon1.fr/R/pdf/tdr341.pdf). This example is based on data given in the file evans.txt coming from http://www.sph.emory.edu/dkleinb/logreg3.htm#data.
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....
Flohrer, Nick
2014-01-01
Instilling psychological empowerment in employees is one of the most important tasks of modern leadership. Building on quantitative research and the development of a new psychometric scale related to project management this thesis shows: First, individuals' characteristics and their work team environment influence perceptions of access to information and resources – two important antecedents of psychological empowerment. Second, while a project briefing strengthens the link of the psychologic...
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.
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.
Adaptive metric kernel regression
Goutte, Cyril; Larsen, Jan
2000-01-01
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...
Software Regression Verification
2013-12-11
of recursive procedures. Acta Informatica , 45(6):403 – 439, 2008. [GS11] Benny Godlin and Ofer Strichman. Regression verifica- tion. Technical Report...functions. Therefore, we need to rede - fine m-term. – Mutual termination. If either function f or function f ′ (or both) is non- deterministic, then their
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.
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.
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
Psychological behaviorism and behaviorizing psychology.
Staats, A 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.
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 interest
Low rank Multivariate regression
Giraud, Christophe
2010-01-01
We consider in this paper the multivariate regression problem, when the target regression matrix $A$ is close to a low rank matrix. Our primary interest in on the practical case where the variance of the noise is unknown. Our main contribution is to propose in this setting a criterion to select among a family of low rank estimators and prove a non-asymptotic oracle inequality for the resulting estimator. We also investigate the easier case where the variance of the noise is known and outline that the penalties appearing in our criterions are minimal (in some sense). These penalties involve the expected value of the Ky-Fan quasi-norm of some random matrices. These quantities can be evaluated easily in practice and upper-bounds can be derived from recent results in random matrix theory.
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...
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.
Hansen, Henrik; Tarp, Finn
2001-01-01
. There are, however, decreasing returns to aid, and the estimated effectiveness of aid is highly sensitive to the choice of estimator and the set of control variables. When investment and human capital are controlled for, no positive effect of aid is found. Yet, aid continues to impact on growth via...... investment. We conclude by stressing the need for more theoretical work before this kind of cross-country regressions are used for policy purposes....
Robust Nonstationary Regression
1993-01-01
This paper provides a robust statistical approach to nonstationary time series regression and inference. Fully modified extensions of traditional robust statistical procedures are developed which allow for endogeneities in the nonstationary regressors and serial dependence in the shocks that drive the regressors and the errors that appear in the equation being estimated. The suggested estimators involve semiparametric corrections to accommodate these possibilities and they belong to the same ...
TWO REGRESSION CREDIBILITY MODELS
Constanţa-Nicoleta BODEA
2010-03-01
Full Text Available In this communication we will discuss two regression credibility models from Non – Life Insurance Mathematics that can be solved by means of matrix theory. In the first regression credibility model, starting from a well-known representation formula of the inverse for a special class of matrices a risk premium will be calculated for a contract with risk parameter θ. In the next regression credibility model, we will obtain a credibility solution in the form of a linear combination of the individual estimate (based on the data of a particular state and the collective estimate (based on aggregate USA data. To illustrate the solution with the properties mentioned above, we shall need the well-known representation theorem for a special class of matrices, the properties of the trace for a square matrix, the scalar product of two vectors, the norm with respect to a positive definite matrix given in advance and the complicated mathematical properties of conditional expectations and of conditional covariances.
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).
Karim Hardani*
2012-05-01
Full Text Available A 10-month-old baby presented with developmental delay. He had flaccid paralysis on physical examination.An MRI of the spine revealed malformation of the ninth and tenth thoracic vertebral bodies with complete agenesis of the rest of the spine down that level. The thoracic spinal cord ends at the level of the fifth thoracic vertebra with agenesis of the posterior arches of the eighth, ninth and tenth thoracic vertebral bodies. The roots of the cauda equina appear tightened down and backward and ended into a subdermal fibrous fatty tissue at the level of the ninth and tenth thoracic vertebral bodies (closed meningocele. These findings are consistent with caudal regression syndrome.
Household composition and psychological health
Joensen, Lene Eide; Willaing, Ingrid; Holt, Richard I G
2017-01-01
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......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...... 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...
Adrian, Stine Willum
2015-01-01
During ethnographic fieldwork at a fertility clinic in Denmark, I became intrigued by emotions. In particular, I found an incidence labelled ‘psychological IVF’ theoretically provocative as it challenged my views on materializations, which I was preparing to study. This paper centres on the story...... of psychological IVF, and I use this narrative to consider emotions and materialization methodologically. I also ask how emotions at fertility clinics can be conceptualized to enable analysis of their materialization, change, and effects. In order to do so, I develop the term ‘emotional choreography......’. 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...
Sunil Patil
2009-06-01
Full Text Available Education Psychology is one of the most rapidly advancing disciplines which is concerned with the description, explanation and control of the educational processes arising from the interaction between the teacher and learner in the context of a specified or unspecified subject. The concept of educational psycology is changing as a result of the general impact of the disciplines such as sociology, anthropology,economics, political science and so on. The subject matter of educational psychology is also reflecting a diversity of structures and emphases in its connection.
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.
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.
McGraw, Ken; Tew, Mark D.; Williams, John E.
2001-01-01
A goal of the PsychExperiments project was to reduce the financial burden on psychology departments for hardware/software used in their laboratories. In its third year, the PsychExperiments site now hosts 39 experiments. Over 200 classrooms worldwide have signed up as official site users and there have been nearly 10,000 data sessions conducted.…
Anderssen, Arthur
2003-01-01
Describes the design of the University of Texas Austin's Seay Psychology and Child Development & Family Relationships building. With modern technique and materials, the Seay building adds to the established architectural language of the campus, offering a richly tactile structure and adjoining outdoor space embracing the tenets of successful…
McGraw, Ken; Tew, Mark D.; Williams, John E.
2001-01-01
A goal of the PsychExperiments project was to reduce the financial burden on psychology departments for hardware/software used in their laboratories. In its third year, the PsychExperiments site now hosts 39 experiments. Over 200 classrooms worldwide have signed up as official site users and there have been nearly 10,000 data sessions conducted.…
Psychological distress among women with newly diagnosed breast cancer
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...
Regression away from the mean: Theory and examples.
Schwarz, Wolf; Reike, Dennis
2017-06-30
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.
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.
Combining Alphas via Bounded Regression
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.
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.
Impact of Psychological Empowerment on Nonfinancial Performance
Enis HEMEDOĞLU
2012-12-01
Full Text Available This study examines the effects of psychological empowerment on nonfinancial performance of organizations. The sample of the research consists of 70 employees of an enterprise serving in health sector. “Impact”, “competence” and “meaning” dimensions for psychological empowerment and “customer perspective”, “internal processes perspective” and “learning and growth perspective” dimensions for nonfinancial performance are derived from factor analysis. There is a significant negative relationship between internal processes perspective, one of nonfinancial performance dimensions, and impact dimension, one of psychological empowerment dimensions. Moreover, there are significant positive relationships between learning and growth perspective, one of nonfinancial performance dimensions, and psychological empowerment, impact dimension and meaning dimension of psychological empowerment. According to regression analysis, psychological empowerment does not have impact on nonfinancial performance.
Heine, Steven J; Ruby, Matthew B
2010-03-01
Humans are a cultural species, constantly navigating a complex web of culturally bound practices, norms, and worldviews. This article provides a brief overview of the relatively young field of cultural psychology, which investigates the many ways psychology and culture interweave with one another. Highlighting the cultural nature of the human species, it draws upon research on cultural evolution, enculturation, and developmental processes. This review further summarizes a number of cultural differences in how people perceive the self, and the behavioral consequences that follow from these differences, in the domains of internal and external attribution styles, motivations for self-enhancement, approach/avoidance, primary and secondary control, as well as motivations for distinctiveness and conformity. Additionally, the review discusses research on the intersection of culture and emotion, as well as cultural differences in cognition, perception, and reasoning. Copyright © 2010 John Wiley & Sons, Ltd. For further resources related to this article, please visit the WIREs website. Copyright © 2010 John Wiley & Sons, Ltd.
Time-adaptive quantile regression
Møller, Jan Kloppenborg; Nielsen, Henrik Aalborg; Madsen, Henrik
2008-01-01
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...... 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...... 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....
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.
Polynomial Regression on Riemannian Manifolds
Hinkle, Jacob; Fletcher, P Thomas; Joshi, Sarang
2012-01-01
In this paper we develop the theory of parametric polynomial regression in Riemannian manifolds and Lie groups. We show application of Riemannian polynomial regression to shape analysis in Kendall shape space. Results are presented, showing the power of polynomial regression on the classic rat skull growth data of Bookstein as well as the analysis of the shape changes associated with aging of the corpus callosum from the OASIS Alzheimer's study.
Evaluating Differential Effects Using Regression Interactions and Regression Mixture Models
Van Horn, M. Lee; Jaki, Thomas; Masyn, Katherine; Howe, George; Feaster, Daniel J.; Lamont, Andrea E.; George, Melissa R. W.; Kim, Minjung
2015-01-01
Research increasingly emphasizes understanding differential effects. This article focuses on understanding regression mixture models, which are relatively new statistical methods for assessing differential effects by comparing results to using an interactive term in linear regression. The research questions which each model answers, their…
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
Business applications of multiple regression
Richardson, Ronny
2015-01-01
This second edition of Business Applications of Multiple Regression describes the use of the statistical procedure called multiple regression in business situations, including forecasting and understanding the relationships between variables. The book assumes a basic understanding of statistics but reviews correlation analysis and simple regression to prepare the reader to understand and use multiple regression. The techniques described in the book are illustrated using both Microsoft Excel and a professional statistical program. Along the way, several real-world data sets are analyzed in deta
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
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
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…
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
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
Regression Testing Cost Reduction Suite
Mohamed Alaa El-Din
2014-08-01
Full Text Available The estimated cost of software maintenance exceeds 70 percent of total software costs [1], and large portion of this maintenance expenses is devoted to regression testing. Regression testing is an expensive and frequently executed maintenance activity used to revalidate the modified software. Any reduction in the cost of regression testing would help to reduce the software maintenance cost. Test suites once developed are reused and updated frequently as the software evolves. As a result, some test cases in the test suite may become redundant when the software is modified over time since the requirements covered by them are also covered by other test cases. Due to the resource and time constraints for re-executing large test suites, it is important to develop techniques to minimize available test suites by removing redundant test cases. In general, the test suite minimization problem is NP complete. This paper focuses on proposing an effective approach for reducing the cost of regression testing process. The proposed approach is applied on real-time case study. It was found that the reduction in cost of regression testing for each regression testing cycle is ranging highly improved in the case of programs containing high number of selected statements which in turn maximize the benefits of using it in regression testing of complex software systems. The reduction in the regression test suite size will reduce the effort and time required by the testing teams to execute the regression test suite. Since regression testing is done more frequently in software maintenance phase, the overall software maintenance cost can be reduced considerably by applying the proposed approach.
A reconsideration of the concept of regression.
Dowling, A Scott
2004-01-01
Regression has been a useful psychoanalytic concept, linking present mental functioning with past experiences and levels of functioning. The concept originated as an extension of the evolutionary zeitgeist of the day as enunciated by H. Spencer and H. Jackson and applied by Freud to psychological phenomena. The value system implicit in the contrast of evolution/progression vs dissolution/regression has given rise to unfortunate and powerful assumptions of social, cultural, developmental and individual value as embodied in notions of "higher," "lower;" "primitive," "mature," "archaic," and "advanced." The unhelpful results of these assumptions are evident, for example, in attitudes concerning cultural, sexual, and social "correctness, " same-sex object choice, and goals of treatment. An alternative, a continuously constructed, continuously emerging mental life, in analogy to the ever changing, continuous physical body, is suggested. This view retains the fundamentals of psychoanalysis, for example, unconscious mental life, drive, defense, and psychic structure, but stresses a functional, ever changing, present oriented understanding of mental life as contrasted with a static, onion-layered view.
Brief Report: Regression Timing and Associated Features in "MECP2" Duplication Syndrome
Peters, S. U.; Hundley, R. J.; Wilson, A. K.; Carvalho, C. M. B.; Lupski, J. R.; Ramocki, M. B.
2013-01-01
The aim of this study was to determine the frequency, timing, and associated features of developmental regression in "MECP2" duplication syndrome. We also examined whether duplication size was associated with regression. Comprehensive psychological evaluations were used to assess 17 boys with "MECP2" duplication syndrome.…
Rank regression: an alternative regression approach for data with outliers.
Chen, Tian; Tang, Wan; Lu, Ying; Tu, Xin
2014-10-01
Linear regression models are widely used in mental health and related health services research. However, the classic linear regression analysis assumes that the data are normally distributed, an assumption that is not met by the data obtained in many studies. One method of dealing with this problem is to use semi-parametric models, which do not require that the data be normally distributed. But semi-parametric models are quite sensitive to outlying observations, so the generated estimates are unreliable when study data includes outliers. In this situation, some researchers trim the extreme values prior to conducting the analysis, but the ad-hoc rules used for data trimming are based on subjective criteria so different methods of adjustment can yield different results. Rank regression provides a more objective approach to dealing with non-normal data that includes outliers. This paper uses simulated and real data to illustrate this useful regression approach for dealing with outliers and compares it to the results generated using classical regression models and semi-parametric regression models.
Brief report: regression timing and associated features in MECP2 duplication syndrome.
Peters, S U; Hundley, R J; Wilson, A K; Carvalho, C M B; Lupski, J R; Ramocki, M B
2013-10-01
The aim of this study was to determine the frequency, timing, and associated features of developmental regression in MECP2 duplication syndrome. We also examined whether duplication size was associated with regression. Comprehensive psychological evaluations were used to assess 17 boys with MECP2 duplication syndrome. Information about regression was gathered via parent report. Eight of 17 boys exhibited regression in language skills, while seven of 17 exhibited regression in other skill areas. Regression in "other skill" areas coincided with seizure onset and with a prior autism diagnosis in six of seven participants. Regression was not associated with duplication size. Questions remain as to why some boys regress, and future work is necessary to understand the underlying mechanism(s) that causes regression.
Polynomial Regressions and Nonsense Inference
Ventosa-Santaulària, Daniel; Rodríguez-Caballero, Carlos Vladimir
Polynomial specifications are widely used, not only in applied economics, but also in epidemiology, physics, political analysis, and psychology, just to mention a few examples. In many cases, the data employed to estimate such estimations are time series that may exhibit stochastic nonstationary ...
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.
ORDINAL REGRESSION FOR INFORMATION RETRIEVAL
无
2008-01-01
This letter presents a new discriminative model for Information Retrieval (IR), referred to as Ordinal Regression Model (ORM). ORM is different from most existing models in that it views IR as ordinal regression problem (i.e. ranking problem) instead of binary classification. It is noted that the task of IR is to rank documents according to the user information needed, so IR can be viewed as ordinal regression problem. Two parameter learning algorithms for ORM are presented. One is a perceptron-based algorithm. The other is the ranking Support Vector Machine (SVM). The effectiveness of the proposed approach has been evaluated on the task of ad hoc retrieval using three English Text REtrieval Conference (TREC) sets and two Chinese TREC sets. Results show that ORM significantly outperforms the state-of-the-art language model approaches and OKAPI system in all test sets; and it is more appropriate to view IR as ordinal regression other than binary classification.
Multiple Regression and Its Discontents
Snell, Joel C.; Marsh, Mitchell
2012-01-01
Multiple regression is part of a larger statistical strategy originated by Gauss. The authors raise questions about the theory and suggest some changes that would make room for Mandelbrot and Serendipity.
Multiple Regression and Its Discontents
Snell, Joel C.; Marsh, Mitchell
2012-01-01
Multiple regression is part of a larger statistical strategy originated by Gauss. The authors raise questions about the theory and suggest some changes that would make room for Mandelbrot and Serendipity.
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.
Wrong Signs in Regression Coefficients
McGee, Holly
1999-01-01
When using parametric cost estimation, it is important to note the possibility of the regression coefficients having the wrong sign. A wrong sign is defined as a sign on the regression coefficient opposite to the researcher's intuition and experience. Some possible causes for the wrong sign discussed in this paper are a small range of x's, leverage points, missing variables, multicollinearity, and computational error. Additionally, techniques for determining the cause of the wrong sign are given.
From Rasch scores to regression
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....
Morris, Michael W; Chiu, Chi-yue; Liu, Zhi
2015-01-01
We review limitations of the traditional paradigm for cultural research and propose an alternative framework, polyculturalism. Polyculturalism assumes that individuals' relationships to cultures are not categorical but rather are partial and plural; it also assumes that cultural traditions are not independent, sui generis lineages but rather are interacting systems. Individuals take influences from multiple cultures and thereby become conduits through which cultures can affect each other. Past literatures on the influence of multiple cultural identities and cultural knowledge legacies can be better understood within a polyculturalist rubric. Likewise, the concept elucidates how cultures are changed by contact with other cultures, enabling richer psychological theories of intercultural influence. Different scientific paradigms about culture imply different ideologies and policies; polyculturalism's implied policy of interculturalism provides a valuable complement to the traditional policy frames of multiculturalism and colorblindness.
The Dialectic Psychology perspectives
Oliveros M., Ricardo; Facultad de Psicología, Universidad Nacional Mayor de San Marcos, Lima, Perú
2014-01-01
The present paper exposes the dialectic psychology perspectives in the twentieth first century Peru. We ponder about the dialectics psychology denomination, connecting them to other denominations used in the materialist psychology trend. We analyze the relations between dialectics psychology and social neuroscience, delimiting both the psychological sciences field and the neuroscience field. We develop issues from the emancipator project of dialectics psychology, precising personal developmen...
A Matlab program for stepwise regression
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.
Evolutionary developmental psychology
King, Ashley C; Bjorklund, David F
2010-01-01
The field of evolutionary developmental psychology can potentially broaden the horizons of mainstream evolutionary psychology by combining the principles of Darwinian evolution by natural selection...
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…
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…
XRA image segmentation using regression
Jin, Jesse S.
1996-04-01
Segmentation is an important step in image analysis. Thresholding is one of the most important approaches. There are several difficulties in segmentation, such as automatic selecting threshold, dealing with intensity distortion and noise removal. We have developed an adaptive segmentation scheme by applying the Central Limit Theorem in regression. A Gaussian regression is used to separate the distribution of background from foreground in a single peak histogram. The separation will help to automatically determine the threshold. A small 3 by 3 widow is applied and the modal of the local histogram is used to overcome noise. Thresholding is based on local weighting, where regression is used again for parameter estimation. A connectivity test is applied to the final results to remove impulse noise. We have applied the algorithm to x-ray angiogram images to extract brain arteries. The algorithm works well for single peak distribution where there is no valley in the histogram. The regression provides a method to apply knowledge in clustering. Extending regression for multiple-level segmentation needs further investigation.
Biplots in Reduced-Rank Regression
Braak, ter C.J.F.; Looman, C.W.N.
1994-01-01
Regression problems with a number of related response variables are typically analyzed by separate multiple regressions. This paper shows how these regressions can be visualized jointly in a biplot based on reduced-rank regression. Reduced-rank regression combines multiple regression and principal c
Interpretation of Standardized Regression Coefficients in Multiple Regression.
Thayer, Jerome D.
The extent to which standardized regression coefficients (beta values) can be used to determine the importance of a variable in an equation was explored. The beta value and the part correlation coefficient--also called the semi-partial correlation coefficient and reported in squared form as the incremental "r squared"--were compared for…
Inferential Models for Linear Regression
Zuoyi Zhang
2011-09-01
Full Text Available Linear regression is arguably one of the most widely used statistical methods in applications. However, important problems, especially variable selection, remain a challenge for classical modes of inference. This paper develops a recently proposed framework of inferential models (IMs in the linear regression context. In general, an IM is able to produce meaningful probabilistic summaries of the statistical evidence for and against assertions about the unknown parameter of interest and, moreover, these summaries are shown to be properly calibrated in a frequentist sense. Here we demonstrate, using simple examples, that the IM framework is promising for linear regression analysis --- including model checking, variable selection, and prediction --- and for uncertain inference in general.
[Is regression of atherosclerosis possible?].
Thomas, D; Richard, J L; Emmerich, J; Bruckert, E; Delahaye, F
1992-10-01
Experimental studies have shown the regression of atherosclerosis in animals given a cholesterol-rich diet and then given a normal diet or hypolipidemic therapy. Despite favourable results of clinical trials of primary prevention modifying the lipid profile, the concept of atherosclerosis regression in man remains very controversial. The methodological approach is difficult: this is based on angiographic data and requires strict standardisation of angiographic views and reliable quantitative techniques of analysis which are available with image processing. Several methodologically acceptable clinical coronary studies have shown not only stabilisation but also regression of atherosclerotic lesions with reductions of about 25% in total cholesterol levels and of about 40% in LDL cholesterol levels. These reductions were obtained either by drugs as in CLAS (Cholesterol Lowering Atherosclerosis Study), FATS (Familial Atherosclerosis Treatment Study) and SCOR (Specialized Center of Research Intervention Trial), by profound modifications in dietary habits as in the Lifestyle Heart Trial, or by surgery (ileo-caecal bypass) as in POSCH (Program On the Surgical Control of the Hyperlipidemias). On the other hand, trials with non-lipid lowering drugs such as the calcium antagonists (INTACT, MHIS) have not shown significant regression of existing atherosclerotic lesions but only a decrease on the number of new lesions. The clinical benefits of these regression studies are difficult to demonstrate given the limited period of observation, relatively small population numbers and the fact that in some cases the subjects were asymptomatic. The decrease in the number of cardiovascular events therefore seems relatively modest and concerns essentially subjects who were symptomatic initially. The clinical repercussion of studies of prevention involving a single lipid factor is probably partially due to the reduction in progression and anatomical regression of the atherosclerotic plaque
Martin Žužek-Kres
2008-01-01
The article presents a "new" history of psychology, which is also termed as "psychology of psychology". In some academic communities this unconventional history of psychology represents today an accepted approach to epistemological questions about psychological concepts and it enables an insight into social contextualization of Psychology as an institution. The conclusion presents a referential and institutional context where this psychology of psychology is realized.
Nonparametric regression with filtered data
Linton, Oliver; Nielsen, Jens Perch; Van Keilegom, Ingrid; 10.3150/10-BEJ260
2011-01-01
We present a general principle for estimating a regression function nonparametrically, allowing for a wide variety of data filtering, for example, repeated left truncation and right censoring. Both the mean and the median regression cases are considered. The method works by first estimating the conditional hazard function or conditional survivor function and then integrating. We also investigate improved methods that take account of model structure such as independent errors and show that such methods can improve performance when the model structure is true. We establish the pointwise asymptotic normality of our estimators.
Logistic regression for circular data
Al-Daffaie, Kadhem; Khan, Shahjahan
2017-05-01
This paper considers the relationship between a binary response and a circular predictor. It develops the logistic regression model by employing the linear-circular regression approach. The maximum likelihood method is used to estimate the parameters. The Newton-Raphson numerical method is used to find the estimated values of the parameters. A data set from weather records of Toowoomba city is analysed by the proposed methods. Moreover, a simulation study is considered. The R software is used for all computations and simulations.
Quasi-least squares regression
Shults, Justine
2014-01-01
Drawing on the authors' substantial expertise in modeling longitudinal and clustered data, Quasi-Least Squares Regression provides a thorough treatment of quasi-least squares (QLS) regression-a computational approach for the estimation of correlation parameters within the framework of generalized estimating equations (GEEs). The authors present a detailed evaluation of QLS methodology, demonstrating the advantages of QLS in comparison with alternative methods. They describe how QLS can be used to extend the application of the traditional GEE approach to the analysis of unequally spaced longitu
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.
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…
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.
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.
Edwards, Lesley
Designed for community students interested in learning about psychology as a field of study, this module offers group and individual activities to involve the beginning student in research, experimentation and discussion. Unit 1, "What Is Psychology?," includes the use of animals in psychology, ethics, the history of psychology, an…
Edwards, Lesley
Designed for community students interested in learning about psychology as a field of study, this module offers group and individual activities to involve the beginning student in research, experimentation and discussion. Unit 1, "What Is Psychology?," includes the use of animals in psychology, ethics, the history of psychology, an…
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…
Regression of lumbar disk herniation
G. Yu Evzikov
2015-01-01
Full Text Available Compression of the spinal nerve root, giving rise to pain and sensory and motor disorders in the area of its innervation is the most vivid manifestation of herniated intervertebral disk. Different treatment modalities, including neurosurgery, for evolving these conditions are discussed. There has been recent evidence that spontaneous regression of disk herniation can regress. The paper describes a female patient with large lateralized disc extrusion that has caused compression of the nerve root S1, leading to obvious myotonic and radicular syndrome. Magnetic resonance imaging has shown that the clinical manifestations of discogenic radiculopathy, as well myotonic syndrome and morphological changes completely regressed 8 months later. The likely mechanism is inflammation-induced resorption of a large herniated disk fragment, which agrees with the data available in the literature. A decision to perform neurosurgery for which the patient had indications was made during her first consultation. After regression of discogenic radiculopathy, there was only moderate pain caused by musculoskeletal diseases (facet syndrome, piriformis syndrome that were successfully eliminated by minimally invasive techniques.
Heteroscedasticity checks for regression models
无
2001-01-01
For checking on heteroscedasticity in regression models, a unified approach is proposed to constructing test statistics in parametric and nonparametric regression models. For nonparametric regression, the test is not affected sensitively by the choice of smoothing parameters which are involved in estimation of the nonparametric regression function. The limiting null distribution of the test statistic remains the same in a wide range of the smoothing parameters. When the covariate is one-dimensional, the tests are, under some conditions, asymptotically distribution-free. In the high-dimensional cases, the validity of bootstrap approximations is investigated. It is shown that a variant of the wild bootstrap is consistent while the classical bootstrap is not in the general case, but is applicable if some extra assumption on conditional variance of the squared error is imposed. A simulation study is performed to provide evidence of how the tests work and compare with tests that have appeared in the literature. The approach may readily be extended to handle partial linear, and linear autoregressive models.
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…
Growth Regression and Economic Theory
Elbers, Chris; Gunning, Jan Willem
2002-01-01
In this note we show that the standard, loglinear growth regression specificationis consistent with one and only one model in the class of stochastic Ramsey models. Thismodel is highly restrictive: it requires a Cobb-Douglas technology and a 100% depreciationrate and it implies that risk does not af
Correlation Weights in Multiple Regression
Waller, Niels G.; Jones, Jeff A.
2010-01-01
A general theory on the use of correlation weights in linear prediction has yet to be proposed. In this paper we take initial steps in developing such a theory by describing the conditions under which correlation weights perform well in population regression models. Using OLS weights as a comparison, we define cases in which the two weighting…
Ridge Regression for Interactive Models.
Tate, Richard L.
1988-01-01
An exploratory study of the value of ridge regression for interactive models is reported. Assuming that the linear terms in a simple interactive model are centered to eliminate non-essential multicollinearity, a variety of common models, representing both ordinal and disordinal interactions, are shown to have "orientations" that are favorable to…
Logistic regression: a brief primer.
Stoltzfus, Jill C
2011-10-01
Regression techniques are versatile in their application to medical research because they can measure associations, predict outcomes, and control for confounding variable effects. As one such technique, logistic regression is an efficient and powerful way to analyze the effect of a group of independent variables on a binary outcome by quantifying each independent variable's unique contribution. Using components of linear regression reflected in the logit scale, logistic regression iteratively identifies the strongest linear combination of variables with the greatest probability of detecting the observed outcome. Important considerations when conducting logistic regression include selecting independent variables, ensuring that relevant assumptions are met, and choosing an appropriate model building strategy. For independent variable selection, one should be guided by such factors as accepted theory, previous empirical investigations, clinical considerations, and univariate statistical analyses, with acknowledgement of potential confounding variables that should be accounted for. Basic assumptions that must be met for logistic regression include independence of errors, linearity in the logit for continuous variables, absence of multicollinearity, and lack of strongly influential outliers. Additionally, there should be an adequate number of events per independent variable to avoid an overfit model, with commonly recommended minimum "rules of thumb" ranging from 10 to 20 events per covariate. Regarding model building strategies, the three general types are direct/standard, sequential/hierarchical, and stepwise/statistical, with each having a different emphasis and purpose. Before reaching definitive conclusions from the results of any of these methods, one should formally quantify the model's internal validity (i.e., replicability within the same data set) and external validity (i.e., generalizability beyond the current sample). The resulting logistic regression model
Regression Verification Using Impact Summaries
Backes, John; Person, Suzette J.; Rungta, Neha; Thachuk, Oksana
2013-01-01
Regression verification techniques are used to prove equivalence of syntactically similar programs. Checking equivalence of large programs, however, can be computationally expensive. Existing regression verification techniques rely on abstraction and decomposition techniques to reduce the computational effort of checking equivalence of the entire program. These techniques are sound but not complete. In this work, we propose a novel approach to improve scalability of regression verification by classifying the program behaviors generated during symbolic execution as either impacted or unimpacted. Our technique uses a combination of static analysis and symbolic execution to generate summaries of impacted program behaviors. The impact summaries are then checked for equivalence using an o-the-shelf decision procedure. We prove that our approach is both sound and complete for sequential programs, with respect to the depth bound of symbolic execution. Our evaluation on a set of sequential C artifacts shows that reducing the size of the summaries can help reduce the cost of software equivalence checking. Various reduction, abstraction, and compositional techniques have been developed to help scale software verification techniques to industrial-sized systems. Although such techniques have greatly increased the size and complexity of systems that can be checked, analysis of large software systems remains costly. Regression analysis techniques, e.g., regression testing [16], regression model checking [22], and regression verification [19], restrict the scope of the analysis by leveraging the differences between program versions. These techniques are based on the idea that if code is checked early in development, then subsequent versions can be checked against a prior (checked) version, leveraging the results of the previous analysis to reduce analysis cost of the current version. Regression verification addresses the problem of proving equivalence of closely related program
Integrating Humor and Positive Psychology Approaches to Psychological Well-Being
Nadia Brittany Maiolino
2014-08-01
Full Text Available In this study we investigated how individual differences and personality constructs taken from the positive psychology and humor domains of psychology may play an important role in psychological well-being. Participants completed measures assessing trait gratitude, savoring, and humor styles; along with several positive and negative indicators of psychological well-being (e.g., life satisfaction, positive affect, depression, and anxiety. We first examined the degree of empirical and conceptual overlap among the personality constructs from these two domains. Here, we found that higher levels of gratitude and savoring were associated with higher levels of self-enhancing and affiliative humor, whereas higher levels of aggressive and self-defeating humor were primarily associated with lower levels of gratitude. Subsequent regression analyses indicated that the positive psychology construct of gratitude was predictive of several different indices of positive and negative well-being, whereas savoring was most predictive of greater positive affect. In addition, these regression analyses also revealed that the humor styles of self-enhancing and self-defeating humor provided a significant increase in the prediction of several positive and negative indices of well-being, above and beyond the effects attributable to the positive psychology constructs alone. These findings were then discussed in terms of developing a broader and more integrated theoretical approach to the understanding of psychological well-being.
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.
THE REGRESSION MODEL OF IRAN LIBRARIES ORGANIZATIONAL CLIMATE
Jahani, Mohammad Ali; Yaminfirooz, Mousa; Siamian, Hasan
2015-01-01
Background: The purpose of this study was to drawing a regression model of organizational climate of central libraries of Iran’s universities. Methods: 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. Results: 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. Conclusions: 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. PMID:26622203
ABOUT PSYCHOLOGICAL VARIABLES IN APPLICATION SCORING MODELS
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.
Producing The New Regressive Left
Crone, Christine
to be a committed artist, and how that translates into supporting al-Assad’s rule in Syria; the Ramadan programme Harrir Aqlak’s attempt to relaunch an intellectual renaissance and to promote religious pluralism; and finally, al-Mayadeen’s cooperation with the pan-Latin American TV station TeleSur and its ambitions...... 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...... coalition (Iran, Hizbollah, Syria), capitalises on a series of factors that bring them together in spite of their otherwise diverse worldviews and agendas. The New Regressive Left is united by resistance against the growing influence of Saudi Arabia in the religious, cultural, political, economic...
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.
Heteroscedasticity checks for regression models
ZHU; Lixing
2001-01-01
［1］Carroll, R. J., Ruppert, D., Transformation and Weighting in Regression, New York: Chapman and Hall, 1988.［2］Cook, R. D., Weisberg, S., Diagnostics for heteroscedasticity in regression, Biometrika, 1988, 70: 1—10.［3］Davidian, M., Carroll, R. J., Variance function estimation, J. Amer. Statist. Assoc., 1987, 82: 1079—1091.［4］Bickel, P., Using residuals robustly I: Tests for heteroscedasticity, Ann. Statist., 1978, 6: 266—291.［5］Carroll, R. J., Ruppert, D., On robust tests for heteroscedasticity, Ann. Statist., 1981, 9: 205—209.［6］Eubank, R. L., Thomas, W., Detecting heteroscedasticity in nonparametric regression, J. Roy. Statist. Soc., Ser. B, 1993, 55: 145—155.［7］Diblasi, A., Bowman, A., Testing for constant variance in a linear model, Statist. and Probab. Letters, 1997, 33: 95—103.［8］Dette, H., Munk, A., Testing heteoscedasticity in nonparametric regression, J. R. Statist. Soc. B, 1998, 60: 693—708.［9］Müller, H. G., Zhao, P. L., On a semi-parametric variance function model and a test for heteroscedasticity, Ann. Statist., 1995, 23: 946—967.［10］Stute, W., Manteiga, G., Quindimil, M. P., Bootstrap approximations in model checks for regression, J. Amer. Statist. Asso., 1998, 93: 141—149.［11］Stute, W., Thies, G., Zhu, L. X., Model checks for regression: An innovation approach, Ann. Statist., 1998, 26: 1916—1939.［12］Shorack, G. R., Wellner, J. A., Empirical Processes with Applications to Statistics, New York: Wiley, 1986.［13］Efron, B., Bootstrap methods: Another look at the jackknife, Ann. Statist., 1979, 7: 1—26.［14］Wu, C. F. J., Jackknife, bootstrap and other re-sampling methods in regression analysis, Ann. Statist., 1986, 14: 1261—1295.［15］H rdle, W., Mammen, E., Comparing non-parametric versus parametric regression fits, Ann. Statist., 1993, 21: 1926—1947.［16］Liu, R. Y., Bootstrap procedures under some non-i.i.d. models, Ann. Statist., 1988, 16: 1696—1708.［17
Clustered regression with unknown clusters
Barman, Kishor
2011-01-01
We consider a collection of prediction experiments, which are clustered in the sense that groups of experiments ex- hibit similar relationship between the predictor and response variables. The experiment clusters as well as the regres- sion relationships are unknown. The regression relation- ships define the experiment clusters, and in general, the predictor and response variables may not exhibit any clus- tering. We call this prediction problem clustered regres- sion with unknown clusters (CRUC) and in this paper we focus on linear regression. We study and compare several methods for CRUC, demonstrate their applicability to the Yahoo Learning-to-rank Challenge (YLRC) dataset, and in- vestigate an associated mathematical model. CRUC is at the crossroads of many prior works and we study several prediction algorithms with diverse origins: an adaptation of the expectation-maximization algorithm, an approach in- spired by K-means clustering, the singular value threshold- ing approach to matrix rank minimization u...
Robust nonlinear regression in applications
Lim, Changwon; Sen, Pranab K.; Peddada, Shyamal D.
2013-01-01
Robust statistical methods, such as M-estimators, are needed for nonlinear regression models because of the presence of outliers/influential observations and heteroscedasticity. Outliers and influential observations are commonly observed in many applications, especially in toxicology and agricultural experiments. For example, dose response studies, which are routinely conducted in toxicology and agriculture, sometimes result in potential outliers, especially in the high dose gr...
Astronomical Methods for Nonparametric Regression
Steinhardt, Charles L.; Jermyn, Adam
2017-01-01
I will discuss commonly used techniques for nonparametric regression in astronomy. We find that several of them, particularly running averages and running medians, are generically biased, asymmetric between dependent and independent variables, and perform poorly in recovering the underlying function, even when errors are present only in one variable. We then examine less-commonly used techniques such as Multivariate Adaptive Regressive Splines and Boosted Trees and find them superior in bias, asymmetry, and variance both theoretically and in practice under a wide range of numerical benchmarks. In this context the chief advantage of the common techniques is runtime, which even for large datasets is now measured in microseconds compared with milliseconds for the more statistically robust techniques. This points to a tradeoff between bias, variance, and computational resources which in recent years has shifted heavily in favor of the more advanced methods, primarily driven by Moore's Law. Along these lines, we also propose a new algorithm which has better overall statistical properties than all techniques examined thus far, at the cost of significantly worse runtime, in addition to providing guidance on choosing the nonparametric regression technique most suitable to any specific problem. We then examine the more general problem of errors in both variables and provide a new algorithm which performs well in most cases and lacks the clear asymmetry of existing non-parametric methods, which fail to account for errors in both variables.
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
Ozer, Simon
2017-01-01
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...... 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...... 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...
Genetics Home Reference: caudal regression syndrome
... Twitter Home Health Conditions caudal regression syndrome caudal regression syndrome Enable Javascript to view the expand/collapse ... Download PDF Open All Close All Description Caudal regression syndrome is a disorder that impairs the development ...
On Weighted Support Vector Regression
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...... 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...
缪毅; 李敏; 兰勇; 张宇培; 陈波
2012-01-01
Objective To explore the resilience and mental health of recruits during training,and to investigate mutual prediction of resilience between mental health and psychological stress to provide the scientific evidence for the mental health training and psychological selection of recruits.Methods Connor-Davidson resilience questionnaire ( CD-RISC),symptom checklist ( SCL-90 ),psychological stress self-evaluation test ( PSET),satisfaction with life scale (SWLS),positive and negative affect scale (PANAS) were applied to 650 recruits in 2011 before starting training and after two months of training.Results ① Chinese recruits had good resilience,and the CD scores of pre-and post-test were (61.60 ± 14.36) and (61.41 ± 14.55 ) respectively.②Mental health (SCL-90) of two tests were good in recruits.③ Correlation analysis showed that the same premise of phase correlation,resilience (pre-test) could significantly predict mental health (post-test) ( β =0.070,P ＜ 0.05 ),mental health ( pretest) could not predict resilience (post-test) (β =0.015,P ＞ 0.05 ).Resilience (pre-test) could significantly predict psychological stress (post-test) ( β =0.075,P ＜ 0.05 ),psychological stress (pre-test) could not predict resilience (post-test) (β =0.017,P ＞ 0.05 ).④ Compared with high resilience group,low-resilience group of recruits had higher total score of SCL-90 and psychological stress and less positive emotion,more negative emotion and lower life satisfaction.Conclusion The recruits training have good resilience.Resilience of recruits have predictive ability to mental health,psychological stress during training.%目的 了解集训期间新兵心理弹性及心理健康状况,考察心理弹性与心理健康、军人心理应激水平相互之间的预测作用.为部队新兵的心理选拔和心理健康教育提供科学依据.方法 2011年1月新兵到达某部队开始进行集训前(前测)及集训2个月后(后测),采用Connor-Davidson回弹力问卷(CD
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.
Influence of Parenting Styles on Psychological Well-Being and School Adjustment of ... Aviation Psychological Practice in the Nigerian Air Force: Challenges and ... Psychosocial Predictors of Quality of Life among Caregivers of Chronically Ill ...
Multiatlas segmentation as nonparametric regression.
Awate, Suyash P; Whitaker, Ross T
2014-09-01
This paper proposes a novel theoretical framework to model and analyze the statistical characteristics of a wide range of segmentation methods that incorporate a database of label maps or atlases; such methods are termed as label fusion or multiatlas segmentation. We model these multiatlas segmentation problems as nonparametric regression problems in the high-dimensional space of image patches. We analyze the nonparametric estimator's convergence behavior that characterizes expected segmentation error as a function of the size of the multiatlas database. We show that this error has an analytic form involving several parameters that are fundamental to the specific segmentation problem (determined by the chosen anatomical structure, imaging modality, registration algorithm, and label-fusion algorithm). We describe how to estimate these parameters and show that several human anatomical structures exhibit the trends modeled analytically. We use these parameter estimates to optimize the regression estimator. We show that the expected error for large database sizes is well predicted by models learned on small databases. Thus, a few expert segmentations can help predict the database sizes required to keep the expected error below a specified tolerance level. Such cost-benefit analysis is crucial for deploying clinical multiatlas segmentation systems.
Ozan BUYUKYILMAZ; 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...
Personality theory, abnormal psychology, and psychological measurement. A psychological behaviorism.
Staats, A W
1993-01-01
Behaviorism, because it has not had a theory of personality, has been separated from the rest of psychology, unable in large part to draw from or contribute to it. Traditional psychology has not had a theory of personality that says what personality is, how it comes about, or how it functions. An antagonism has resulted that weakens rather than complements each tradition. Psychological behaviorism presents a new type of theory of personality. Derived from experimentation, it is constructed from basic theories of emotion, language, and sensory-motor behavior. It says personality is composed of learned basic behavioral repertoires (BBRs) that affect behavior. Personality measurement instruments are analyzed in terms of the BBRs, beginning the behaviorization of this field and calling for much additional research. These multilevel developments are then basic in psychological behaviorism's theory of abnormal behavior and of clinical treatment. The approach opens many new avenues of empirical and theoretical work.
Ulu, Mustafa
2014-01-01
In this chapter of book that entitled Science, Religion and Society: An Encyclopedia of History, Culture, and Controversy has been given important informations about psychology of religion’s historical development as well as pioneer figures’ contributions. In this text some evaluations has been made by categorizing studies in field of psychology of religion. Finally some informations are provided about current status of the psychology of religion and position of the psychology of religion ...
Logotherapy and positive psychology
Oscar R. Oro
2015-01-01
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 ...
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…
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…
Lester, David
1987-01-01
Psychology and literature focus on human behavior. There are several points where the interests of psychologists and literary scholars converge. This convergence is evident in the use of literature to test psychological theories and to understand human behavior in historical times, in the psychological analyses of literature, and in psychological…
Humanistic Psychology: How Realistic?
Riebel, Linda
1982-01-01
Overviews themes relating to humanistic psychology. Discusses the tendency of theorists to unconsciously externalize their own psyches. Examines the historical context of humanistic psychology. Discusses humanistic psychology's contribution to understanding the less healthy person. Provides instances of unrealistic thinking by humanistic…
Intro through Internet Psychology.
Webster, Sandra K.; Kelliher, Thomas P.
Psychology and computer science were clustered into a course in "Internet Psychology" with the goal of enabling students to use electronic networks responsibly and creatively and to understand the principles of psychology as they operate in the electronic context. Fourteen students from a variety of majors registered for the class.…
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.
Prediction, Regression and Critical Realism
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...... of prediction necessary and possible in spatial planning of urban development. Finally, the political implications of positions within theory of science rejecting the possibility of predictions about social phenomena are addressed....... 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...
Nonparametric Regression with Common Shocks
Eduardo A. Souza-Rodrigues
2016-09-01
Full Text Available This paper considers a nonparametric regression model for cross-sectional data in the presence of common shocks. Common shocks are allowed to be very general in nature; they do not need to be finite dimensional with a known (small number of factors. I investigate the properties of the Nadaraya-Watson kernel estimator and determine how general the common shocks can be while still obtaining meaningful kernel estimates. Restrictions on the common shocks are necessary because kernel estimators typically manipulate conditional densities, and conditional densities do not necessarily exist in the present case. By appealing to disintegration theory, I provide sufficient conditions for the existence of such conditional densities and show that the estimator converges in probability to the Kolmogorov conditional expectation given the sigma-field generated by the common shocks. I also establish the rate of convergence and the asymptotic distribution of the kernel estimator.
Practical Session: Multiple Linear Regression
Clausel, M.; Grégoire, G.
2014-12-01
Three exercises are proposed to illustrate the simple linear regression. In the first one investigates the influence of several factors on atmospheric pollution. It has been proposed by D. Chessel and A.B. Dufour in Lyon 1 (see Sect. 6 of http://pbil.univ-lyon1.fr/R/pdf/tdr33.pdf) and is based on data coming from 20 cities of U.S. Exercise 2 is an introduction to model selection whereas Exercise 3 provides a first example of analysis of variance. Exercises 2 and 3 have been proposed by A. Dalalyan at ENPC (see Exercises 2 and 3 of http://certis.enpc.fr/~dalalyan/Download/TP_ENPC_5.pdf).
Lumbar herniated disc: spontaneous regression
Yüksel, Kasım Zafer
2017-01-01
Background Low back pain is a frequent condition that results in substantial disability and causes admission of patients to neurosurgery clinics. To evaluate and present the therapeutic outcomes in lumbar disc hernia (LDH) patients treated by means of a conservative approach, consisting of bed rest and medical therapy. Methods This retrospective cohort was carried out in the neurosurgery departments of hospitals in Kahramanmaraş city and 23 patients diagnosed with LDH at the levels of L3−L4, L4−L5 or L5−S1 were enrolled. Results The average age was 38.4 ± 8.0 and the chief complaint was low back pain and sciatica radiating to one or both lower extremities. Conservative treatment was administered. Neurological examination findings, durations of treatment and intervals until symptomatic recovery were recorded. Laségue tests and neurosensory examination revealed that mild neurological deficits existed in 16 of our patients. Previously, 5 patients had received physiotherapy and 7 patients had been on medical treatment. The number of patients with LDH at the level of L3−L4, L4−L5, and L5−S1 were 1, 13, and 9, respectively. All patients reported that they had benefit from medical treatment and bed rest, and radiologic improvement was observed simultaneously on MRI scans. The average duration until symptomatic recovery and/or regression of LDH symptoms was 13.6 ± 5.4 months (range: 5−22). Conclusions It should be kept in mind that lumbar disc hernias could regress with medical treatment and rest without surgery, and there should be an awareness that these patients could recover radiologically. This condition must be taken into account during decision making for surgical intervention in LDH patients devoid of indications for emergent surgery. PMID:28119770
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....
Boyce, Christopher J; Wood, Alex M
2010-10-01
AbstractMoney is the default way in which intangible losses, such as pain and suffering, are currently valued and compensated in law courts. Economists have suggested that subjective well-being regressions can be used to guide compensation payouts for psychological distress following traumatic life events. We bring together studies from law, economic, psychology and medical journals to show that alleviating psychological distress through psychological therapy could be at least 32 times more cost effective than financial compensation. This result is not only important for law courts but has important implications for public health. Mental health is deteriorating across the world - improvements to mental health care might be a more efficient way to increase the health and happiness of our nations than pure income growth.
Varying-coefficient functional linear regression
Wu, Yichao; Müller, Hans-Georg; 10.3150/09-BEJ231
2011-01-01
Functional linear regression analysis aims to model regression relations which include a functional predictor. The analog of the regression parameter vector or matrix in conventional multivariate or multiple-response linear regression models is a regression parameter function in one or two arguments. If, in addition, one has scalar predictors, as is often the case in applications to longitudinal studies, the question arises how to incorporate these into a functional regression model. We study a varying-coefficient approach where the scalar covariates are modeled as additional arguments of the regression parameter function. This extension of the functional linear regression model is analogous to the extension of conventional linear regression models to varying-coefficient models and shares its advantages, such as increased flexibility; however, the details of this extension are more challenging in the functional case. Our methodology combines smoothing methods with regularization by truncation at a finite numb...
Functional Regression for Quasar Spectra
Ciollaro, Mattia; Freeman, Peter; Genovese, Christopher; Lei, Jing; O'Connell, Ross; Wasserman, Larry
2014-01-01
The Lyman-alpha forest is a portion of the observed light spectrum of distant galactic nuclei which allows us to probe remote regions of the Universe that are otherwise inaccessible. The observed Lyman-alpha forest of a quasar light spectrum can be modeled as a noisy realization of a smooth curve that is affected by a `damping effect' which occurs whenever the light emitted by the quasar travels through regions of the Universe with higher matter concentration. To decode the information conveyed by the Lyman-alpha forest about the matter distribution, we must be able to separate the smooth `continuum' from the noise and the contribution of the damping effect in the quasar light spectra. To predict the continuum in the Lyman-alpha forest, we use a nonparametric functional regression model in which both the response and the predictor variable (the smooth part of the damping-free portion of the spectrum) are function-valued random variables. We demonstrate that the proposed method accurately predicts the unobserv...
Knowledge and Awareness: Linear Regression
Monika Raghuvanshi
2016-12-01
Full Text Available Knowledge and awareness are factors guiding development of an individual. These may seem simple and practicable, but in reality a proper combination of these is a complex task. Economically driven state of development in younger generations is an impediment to the correct manner of development. As youths are at the learning phase, they can be molded to follow a correct lifestyle. Awareness and knowledge are important components of any formal or informal environmental education. The purpose of this study is to evaluate the relationship of these components among students of secondary/ senior secondary schools who have undergone a formal study of environment in their curricula. A suitable instrument is developed in order to measure the elements of Awareness and Knowledge among the participants of the study. Data was collected from various secondary and senior secondary school students in the age group 14 to 20 years using cluster sampling technique from the city of Bikaner, India. Linear regression analysis was performed using IBM SPSS 23 statistical tool. There exists a weak relation between knowledge and awareness about environmental issues, caused due to routine practices mishandling; hence one component can be complemented by other for improvement in both. Knowledge and awareness are crucial factors and can provide huge opportunities in any field. Resource utilization for economic solutions may pave the way for eco-friendly products and practices. If green practices are inculcated at the learning phase, they may become normal routine. This will also help in repletion of the environment.
Streamflow forecasting using functional regression
Masselot, Pierre; Dabo-Niang, Sophie; Chebana, Fateh; Ouarda, Taha B. M. J.
2016-07-01
Streamflow, as a natural phenomenon, is continuous in time and so are the meteorological variables which influence its variability. In practice, it can be of interest to forecast the whole flow curve instead of points (daily or hourly). To this end, this paper introduces the functional linear models and adapts it to hydrological forecasting. More precisely, functional linear models are regression models based on curves instead of single values. They allow to consider the whole process instead of a limited number of time points or features. We apply these models to analyse the flow volume and the whole streamflow curve during a given period by using precipitations curves. The functional model is shown to lead to encouraging results. The potential of functional linear models to detect special features that would have been hard to see otherwise is pointed out. The functional model is also compared to the artificial neural network approach and the advantages and disadvantages of both models are discussed. Finally, future research directions involving the functional model in hydrology are presented.
Use of Structure Coefficients in Published Multiple Regression Articles: Beta Is Not Enough.
Courville, Troy; Thompson, Bruce
2001-01-01
Reviewed articles published in the "Journal of Applied Psychology" (JAP) to determine how interpretations might have differed if standardized regression coefficients and structure coefficients (or bivariate "r"s of predictors with the criterion) had been interpreted. Summarizes some dramatic misinterpretations or incomplete…
Hierarchical Multiple Regression in Counseling Research: Common Problems and Possible Remedies.
Petrocelli, John V.
2003-01-01
A brief content analysis was conducted on the use of hierarchical regression in counseling research published in the "Journal of Counseling Psychology" and the "Journal of Counseling & Development" during the years 1997-2001. Common problems are cited and possible remedies are described. (Contains 43 references and 3 tables.) (Author)
A Maximum Likelihood Method for Latent Class Regression Involving a Censored Dependent Variable.
Jedidi, Kamel; And Others
1993-01-01
A method is proposed to simultaneously estimate regression functions and subject membership in "k" latent classes or groups given a censored dependent variable for a cross-section of subjects. Maximum likelihood estimates are obtained using an EM algorithm. The method is illustrated through a consumer psychology application. (SLD)
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.
Role of alexithymia in predicting psychological symptoms in patients with breast and prostate cancer
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.
Mainstreaming culture in psychology.
Cheung, Fanny M
2012-11-01
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 personality assessment, the author discusses the inadequacies of sole reliance on either the etic or the emic approach and points out the advantages of a combined emic-etic approach in bridging global and local human experiences in psychological science and practice. With the blurring of the boundaries between North American-European psychologies and psychology in the rest of the world, there is a need to mainstream culture in psychology's epistemological paradigm. Borrowing from the concept of gender mainstreaming that embraces both similarities and differences in promoting equal opportunities, the author discusses the parallel needs of acknowledging universals and specifics when mainstreaming culture in psychology. She calls for building a culturally informed universal knowledge base that should be incorporated in the psychology curriculum and textbooks.
Spontaneous Regression of an Incidental Spinal Meningioma
Yilmaz, Ali; Kizilay, Zahir; Sair, Ahmet; Avcil, Mucahit; Ozkul, Ayca
2015-01-01
AIM: The regression of meningioma has been reported in literature before. In spite of the fact that the regression may be involved by hemorrhage, calcification or some drugs withdrawal, it is rarely observed spontaneously. CASE REPORT...
Common pitfalls in statistical analysis: Logistic regression.
Ranganathan, Priya; Pramesh, C S; Aggarwal, Rakesh
2017-01-01
Logistic regression analysis is a statistical technique to evaluate the relationship between various predictor variables (either categorical or continuous) and an outcome which is binary (dichotomous). In this article, we discuss logistic regression analysis and the limitations of this technique.
Identity of psychology, identity and psychology
Mirjana Nastran Ule
2003-09-01
Full Text Available The article deals with epistemic issues of modern psychology with the starting hypothesis being that scientific psychology must satisfy three main interests: scientific, practical and emancipatory interest. Particularly important is the emancipatory interest, which is based on the social reflection of scientific work and conclusions. Psychological knowledge involves not only neutral descriptions of facts, but also implicit rules, expectations regarding values or norms, and criticism of undesirable behavior. The traditional psychological model attempts to satisfy the scientific interest and partly practical interest, while avoiding emancipatory interest. But I believe modern socio-historical models of psychology to be significant precisely owing to the inclusion of emancipatory interest. The difference between these two models of psychology is most obvious in their perception of identity i.e. individuality. Conventional perceptions follow the logic of "possessive individualism" in which the individual is seen as an autonomous bearer and owner of his/her psychological states and processes. The conventional model of identity supports the modernist concept of the individual as being focused on his/her self or personal identity. Socio-historical models, on the other hand, see the individual as a being embedded in social relations and social interactions, and one who builds and expresses his/her individuality through the reflection on social interactions, discursive practices, and response to the hierarchy of power and social mechanisms of control. According to this model, identity evolves through a series of social constructions which are embodied in the individual and represent him/her in society. Identity thus becomes a notion that combines individuality and social context, subjectivation and objectivation of the individual, and historical and biographical time.
Semiparametric regression during 2003–2007
Ruppert, David
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.
Unbalanced Regressions and the Predictive Equation
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...
Ethnographic Fieldwork in psychology
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....
Gessmann H.-W.
2015-02-01
Full Text Available This paper presents a theoretical overview of current aspects about the validity problems of psychological tests. The article demonstrates the importance of the development of psychological tests and the scientific studies of their validity, describes the different types of validity and the possible ways of measurement and determination of the validity coefficients. The paper is recommended for researchers, whose work is dedicated to the development, modification or adaptation of the psychological test.
Psychological violence against children
Jurkovič, Sabina
2012-01-01
The topic of my thesis is a study of how parents and primary school teachers perceive and identify psychological abuse of children. Psychological abuse is an especially sensitive area because children do not perceive interpersonal relations and activities in their environment in the same way as adults. Children also do not possess the physical or psychological power required to withstand or defend themselves against different forms of violence, abuse and harassment. Children who are the victi...
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…
Synthesizing Regression Results: A Factored Likelihood Method
Wu, Meng-Jia; Becker, Betsy Jane
2013-01-01
Regression methods are widely used by researchers in many fields, yet methods for synthesizing regression results are scarce. This study proposes using a factored likelihood method, originally developed to handle missing data, to appropriately synthesize regression models involving different predictors. This method uses the correlations reported…
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…
Regression with Sparse Approximations of Data
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...
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…
Public Image of Counseling Psychology: What Introductory Psychology Textbooks Say.
Dixon, David N.; Vrochopoulos, Sam; Burton, Jennifer
1997-01-01
Examines the adequacy of descriptions of counseling psychology and its professionals in introductory psychology textbooks compared to the descriptions of other applied areas of psychology. Results indicate that counseling psychology is less represented than industrial or organizational and clinical psychology and more represented than school…
Positive Psychology: Considerations and Implications for Counseling Psychology
Mollen, Debra; Ethington, Lanaya L.; Ridley, Charles R.
2006-01-01
Why has the specialty of counseling psychology been overlooked in the larger conversation about positive psychology? Is it reasonable that counseling psychology claims positive psychology as its own? What are some of the problems in defining "positive psychology," and how does the lack of consensus around operationalization thwart discourse on…
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...
Nonlinear dynamics in psychology
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.
Psychological Component of Infertility
... Home FAQs Frequently Asked Questions Quick Facts About Infertility FAQs About Infertility FAQs About the Psychological Component of Infertility FAQs About Cloning and Stem Cell Research SART's ...
Regression with Sparse Approximations of Data
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...
Religiosity and psychological well-being.
Leondari, Angeliki; Gialamas, Vasilios
2009-08-01
The aim of the present study was to investigate the relationship between religiosity and psychological well-being in a sample of Greek Orthodox Christians. Previous research has documented that personal devotion, participation in religious activities, and religious salience are positively associated with different criteria of psychological well-being. The sample (83 men and 280 women) with an age range from 18 to 48 years, was strongly skewed with respect to sex (77% female) and education level (95% were university students or university graduates). Religiosity was operationalized as church attendance, frequency of prayer and belief salience. In addition, a single item referring to beliefs about God was used. Depression, anxiety, loneliness, and general life satisfaction were selected as dependent variables because they reflect important dimensions of psychological well-being. Preliminary analyses showed that sex was significantly related to the three religiosity variables (church attendance, frequency of prayer, belief salience), with women being more religious than men. Consistent with previous research, correlations suggested that church attendance and belief salience were associated with better life satisfaction. The results of hierarchical regression analysis showed a significant positive association between anxiety and frequency of personal prayer. Finally, personal beliefs about God did not seem to relate to any of the psychological well-being measures. The results of the present study partially support the hypothesized association between religiosity and psychological well-being.
Assumptions of Multiple Regression: Correcting Two Misconceptions
Matt N. Williams
2013-09-01
Full Text Available In 2002, an article entitled - Four assumptions of multiple regression that researchers should always test- by.Osborne and Waters was published in PARE. This article has gone on to be viewed more than 275,000 times.(as of August 2013, and it is one of the first results displayed in a Google search for - regression.assumptions- . While Osborne and Waters' efforts in raising awareness of the need to check assumptions.when using regression are laudable, we note that the original article contained at least two fairly important.misconceptions about the assumptions of multiple regression: Firstly, that multiple regression requires the.assumption of normally distributed variables; and secondly, that measurement errors necessarily cause.underestimation of simple regression coefficients. In this article, we clarify that multiple regression models.estimated using ordinary least squares require the assumption of normally distributed errors in order for.trustworthy inferences, at least in small samples, but not the assumption of normally distributed response or.predictor variables. Secondly, we point out that regression coefficients in simple regression models will be.biased (toward zero estimates of the relationships between variables of interest when measurement error is.uncorrelated across those variables, but that when correlated measurement error is present, regression.coefficients may be either upwardly or downwardly biased. We conclude with a brief corrected summary of.the assumptions of multiple regression when using ordinary least squares.
Functional linear regression via canonical analysis
He, Guozhong; Wang, Jane-Ling; Yang, Wenjing; 10.3150/09-BEJ228
2011-01-01
We study regression models for the situation where both dependent and independent variables are square-integrable stochastic processes. Questions concerning the definition and existence of the corresponding functional linear regression models and some basic properties are explored for this situation. We derive a representation of the regression parameter function in terms of the canonical components of the processes involved. This representation establishes a connection between functional regression and functional canonical analysis and suggests alternative approaches for the implementation of functional linear regression analysis. A specific procedure for the estimation of the regression parameter function using canonical expansions is proposed and compared with an established functional principal component regression approach. As an example of an application, we present an analysis of mortality data for cohorts of medflies, obtained in experimental studies of aging and longevity.
Psychological Distress in Iranian International Students at an Australian University.
Nahidi, Shizar; Blignault, Ilse; Hayen, Andrew; Razee, Husna
2017-05-03
This study investigated psychological distress in Iranian international students at UNSW Australia, and explored the psychosocial factors associated with high levels of distress. A total of 180 Iranian international students pursuing undergraduate and postgraduate degrees during 2012/2013 completed an email questionnaire containing socio-demographic items and five standardized and validated scales. Multivariable logistic regression was used to analyse the predictors of psychological distress. Compared to domestic and international students at two other Australian universities, a significantly smaller proportion of Iranian international students scored as distressed on the Kessler Psychological Distress Scale (K10). Greater levels of psychological distress were associated with being female, poorer physical health, less social support, less religious involvement and spirituality, and negative attitudes towards seeking professional psychological help. Findings from this growing group of international students can help inform culturally competent mental health promotion and service provision in their host countries.
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...
Rangaswamy, A.; Balasubramanian, P.; Nirmala, R. Sweety
2007-01-01
Psychology plays a significant role in the life of each and every human being. Starting from childhood, if psychology of learning is utilized positively it would play a vital role in the building up of a bright career of a child. The explosion of information technology has been exercising far reaching influence on the area of educational…
Swencionis, Charles; Rendell, Sarah Litman
2012-10-01
G. Stanley Hall, the first person to earn a Ph.D. in psychology in the United States, did research on eating behaviors in the nineteenth century (Lepore in The New Yorker, 2011). Research on psychological aspects of obesity accelerated in the 1950s and there has been a great deal done at this point. We review areas of considerable activity and relevance.
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…
Genetics and Developmental Psychology
Plomin, Robert
2004-01-01
One of the major changes in developmental psychology during the past 50 years has been the acceptance of the important role of nature (genetics) as well as nurture (environment). Past research consisting of twin and adoption studies has shown that genetic influence is substantial for most domains of developmental psychology. Present research…
Munsterburg, Hugo
1994-01-01
This essay considers the discipline of psychology as distinct from history, defining it as a science within philosophy dedicated to the study of the causal structure of the human mind. Although Hugo Munsterburg was considered an important figure in applied psychology, this essay represents an earlier epistemology. (SLD)
Psychologism and Instructional Technology
Gur, Bekir S.; Wiley, David A.
2009-01-01
Little of the work in critical and hermeneutical psychology has been linked to instructional technology (IT). This article provides a discussion in order to fill the gap in this direction. The article presents a brief genealogy of American IT in relation to the influence of psychology. It also provides a critical and hermeneutical framework for…
Popovic, Nash
2008-01-01
In "Psychology in its place" (2008) John Radford explores and attempts to initiate a debate on what is or should be the place and role of psychology in Higher Education, primarily as a main subject for a first degree. In this paper, the author raises the stakes, and argues that Higher Education should provide a certain form of practical psychology…
Child Psychology Experiences Program.
Walla Walla Coll., WA.
Recognizing the need for trained teachers to enter the classroom with confidence and professional capacity, Walla Walla College introduced a Child Psychology Experience program. Personnel from several departments contribute to this program. In connection with the child psychology courses, the project features a laboratory/demonstration center…
Alchemical crossings in Psychology
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.
Anthropomorphism in Psychology.
Bakan, David
This article presents an address on anthropomorphism in psychology. Anthropomorphism assures that human beings are given human characteristics when participating in psychological research. This is significant because the research community does not often report results of studies in the language of feelings, thoughts, or desires, which has led to…
Genetics and Developmental Psychology
Plomin, Robert
2004-01-01
One of the major changes in developmental psychology during the past 50 years has been the acceptance of the important role of nature (genetics) as well as nurture (environment). Past research consisting of twin and adoption studies has shown that genetic influence is substantial for most domains of developmental psychology. Present research…
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
Theorising context in psychology
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...
Historiography of Czech psychology.
Hoskovcová, Simona; Hoskovec, Jirí; Plháková, Alena; Sebek, Michael; Svancara, Josef; Voboril, Dalibor
2010-08-01
The paper is aimed at presenting the development of the Czech historiography of psychology, which was strongly influenced by the political changes in Central and Eastern Europe. The authors deal with the historiography of psychology at the three universities offering an undergraduate program in psychology, located in Prague, Brno, and Olomouc, and at the Institute of Psychology of the Czech Academy of Sciences. Recent research, teaching, textbooks, and journal articles published in Czech and in foreign languages are showcased. The historiography of Czech psychotherapy is mentioned as a special thematic development. Contemporary problems and perspectives in the field of the history of psychology in the Czech Republic are discussed, sources of information are given.
Using Regression Mixture Analysis in Educational Research
Cody S. Ding
2006-11-01
Full Text Available Conventional regression analysis is typically used in educational research. Usually such an analysis implicitly assumes that a common set of regression parameter estimates captures the population characteristics represented in the sample. In some situations, however, this implicit assumption may not be realistic, and the sample may contain several subpopulations such as high math achievers and low math achievers. In these cases, conventional regression models may provide biased estimates since the parameter estimates are constrained to be the same across subpopulations. This paper advocates the applications of regression mixture models, also known as latent class regression analysis, in educational research. Regression mixture analysis is more flexible than conventional regression analysis in that latent classes in the data can be identified and regression parameter estimates can vary within each latent class. An illustration of regression mixture analysis is provided based on a dataset of authentic data. The strengths and limitations of the regression mixture models are discussed in the context of educational research.
Evacuation models and disaster psychology
H.C.M. Vorst
2010-01-01
In evacuation models of buildings, neighborhoods, areas, cities and countries important psychological parameters are not frequently used. In this paper the relevance of some important variables from disaster psychology will be discussed. Modeling psychological variables will enhance prediction of hu
Four Social Psychological Lenses for Developmental Psychology
Zittoun, Tania; Perret-Clermont, Anne-Nelly
2009-01-01
How can the advances of social and developmental psychology be integrated? This conceptual paper proposes to examine four basic theoretical models of social situations through which learning and development have been observed in the post-piagetian tradition: the psychosocial triangle, the frame, models of transfer and transitions, and models…
Four Social Psychological Lenses for Developmental Psychology
Zittoun, Tania; Perret-Clermont, Anne-Nelly
2009-01-01
How can the advances of social and developmental psychology be integrated? This conceptual paper proposes to examine four basic theoretical models of social situations through which learning and development have been observed in the post-piagetian tradition: the psychosocial triangle, the frame, models of transfer and transitions, and models…
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,
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...
Beta blockers & left ventricular hypertrophy regression.
George, Thomas; Ajit, Mullasari S; Abraham, Georgi
2010-01-01
Left ventricular hypertrophy (LVH) particularly in hypertensive patients is a strong predictor of adverse cardiovascular events. Identifying LVH not only helps in the prognostication but also in the choice of therapeutic drugs. The prevalence of LVH is age linked and has a direct correlation to the severity of hypertension. Adequate control of blood pressure, most importantly central aortic pressure and blocking the effects of cardiomyocyte stimulatory growth factors like Angiotensin II helps in regression of LVH. Among the various antihypertensives ACE-inhibitors and angiotensin receptor blockers are more potent than other drugs in regressing LVH. Beta blockers especially the newer cardio selective ones do still have a role in regressing LVH albeit a minor one. A meta-analysis of various studies on LVH regression shows many lacunae. There have been no consistent criteria for defining LVH and documenting LVH regression. This article reviews current evidence on the role of Beta Blockers in LVH regression.
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...
High-dimensional regression with unknown variance
Giraud, Christophe; Verzelen, Nicolas
2011-01-01
We review recent results for high-dimensional sparse linear regression in the practical case of unknown variance. Different sparsity settings are covered, including coordinate-sparsity, group-sparsity and variation-sparsity. The emphasize is put on non-asymptotic analyses and feasible procedures. In addition, a small numerical study compares the practical performance of three schemes for tuning the Lasso esti- mator and some references are collected for some more general models, including multivariate regression and nonparametric regression.
Regression calibration with heteroscedastic error variance.
Spiegelman, Donna; Logan, Roger; Grove, Douglas
2011-01-01
The problem of covariate measurement error with heteroscedastic measurement error variance is considered. Standard regression calibration assumes that the measurement error has a homoscedastic measurement error variance. An estimator is proposed to correct regression coefficients for covariate measurement error with heteroscedastic variance. Point and interval estimates are derived. Validation data containing the gold standard must be available. This estimator is a closed-form correction of the uncorrected primary regression coefficients, which may be of logistic or Cox proportional hazards model form, and is closely related to the version of regression calibration developed by Rosner et al. (1990). The primary regression model can include multiple covariates measured without error. The use of these estimators is illustrated in two data sets, one taken from occupational epidemiology (the ACE study) and one taken from nutritional epidemiology (the Nurses' Health Study). In both cases, although there was evidence of moderate heteroscedasticity, there was little difference in estimation or inference using this new procedure compared to standard regression calibration. It is shown theoretically that unless the relative risk is large or measurement error severe, standard regression calibration approximations will typically be adequate, even with moderate heteroscedasticity in the measurement error model variance. In a detailed simulation study, standard regression calibration performed either as well as or better than the new estimator. When the disease is rare and the errors normally distributed, or when measurement error is moderate, standard regression calibration remains the method of choice.
Enhanced piecewise regression based on deterministic annealing
ZHANG JiangShe; YANG YuQian; CHEN XiaoWen; ZHOU ChengHu
2008-01-01
Regression is one of the important problems in statistical learning theory. This paper proves the global convergence of the piecewise regression algorithm based on deterministic annealing and continuity of global minimum of free energy w.r.t temperature, and derives a new simplified formula to compute the initial critical temperature. A new enhanced piecewise regression algorithm by using "migration of prototypes" is proposed to eliminate "empty cell" in the annealing process. Numerical experiments on several benchmark datasets show that the new algo-rithm can remove redundancy and improve generalization of the piecewise regres-sion model.
Geodesic least squares regression on information manifolds
Verdoolaege, Geert, E-mail: geert.verdoolaege@ugent.be [Department of Applied Physics, Ghent University, Ghent, Belgium and Laboratory for Plasma Physics, Royal Military Academy, Brussels (Belgium)
2014-12-05
We present a novel regression method targeted at situations with significant uncertainty on both the dependent and independent variables or with non-Gaussian distribution models. Unlike the classic regression model, the conditional distribution of the response variable suggested by the data need not be the same as the modeled distribution. Instead they are matched by minimizing the Rao geodesic distance between them. This yields a more flexible regression method that is less constrained by the assumptions imposed through the regression model. As an example, we demonstrate the improved resistance of our method against some flawed model assumptions and we apply this to scaling laws in magnetic confinement fusion.
[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.
Logistic Regression for Evolving Data Streams Classification
YIN Zhi-wu; HUANG Shang-teng; XUE Gui-rong
2007-01-01
Logistic regression is a fast classifier and can achieve higher accuracy on small training data. Moreover,it can work on both discrete and continuous attributes with nonlinear patterns. Based on these properties of logistic regression, this paper proposed an algorithm, called evolutionary logistical regression classifier (ELRClass), to solve the classification of evolving data streams. This algorithm applies logistic regression repeatedly to a sliding window of samples in order to update the existing classifier, to keep this classifier if its performance is deteriorated by the reason of bursting noise, or to construct a new classifier if a major concept drift is detected. The intensive experimental results demonstrate the effectiveness of this algorithm.
New ridge parameters for ridge regression
A.V. Dorugade
2014-04-01
Full Text Available Hoerl and Kennard (1970a introduced the ridge regression estimator as an alternative to the ordinary least squares (OLS estimator in the presence of multicollinearity. In ridge regression, ridge parameter plays an important role in parameter estimation. In this article, a new method for estimating ridge parameters in both situations of ordinary ridge regression (ORR and generalized ridge regression (GRR is proposed. The simulation study evaluates the performance of the proposed estimator based on the mean squared error (MSE criterion and indicates that under certain conditions the proposed estimators perform well compared to OLS and other well-known estimators reviewed in this article.
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…
Discursive social psychology now.
Parker, Ian
2012-09-01
This paper reviews the progress of discourse-analytic approaches in social psychology from the late 1980s to the present day, with a particular focus on the way conceptual and methodological contributions from within the Discourse and Rhetoric Group at Loughborough University have negotiated a positive role for innovative studies of language in the discipline of psychology. Social psychology has become a key site for the accumulation of a series of empirical studies that have seen the flourishing of a distinctive form of 'discursive social psychology' that has succeeded in moving from the margins of the discipline to a more accepted position. The paper traces this trajectory of discourse analysis from the limits to the centre of social psychology attending to five features that now characterise its contribution to psychology; an emphasis on everyday conversation, a concern with interpersonal interaction, explication of formal sequences; an insistence on empirical claims; and fidelity to the ethos of its host discipline. The paper concludes with some comments on the wider context of this new approach inside psychology today.
Discursive and scientific psychology.
Edwards, Derek
2012-09-01
I begin with the origins of Loughborough University's Discourse and Rhetoric Group (DARG), and in particular discursive psychology (DP). Rather than attempting to summarize DP, versions of which are plentiful, the article attempts to clarify various relationships and tensions between DP and other kinds of social psychology, particularly experimental. Common sense psychology is defined as DP's topic rather than rival; the aim is to study how people deploy everyday psychological notions and manage psychological business within talk and text, and what they accomplish by such deployments, rather than trying, as experimental psychology is often characterized as doing, to replace it all with something purportedly better. Claims for DP being particularly interpretative rather than scientific are rejected, by appeal to an 'interpretative gap' between phenomena, data, analysis, and conclusions that all research must manage, that gap being often much larger in quantitative and experimental work. The importance of pursuing causal explanations of psychological phenomena is questioned, and the importance asserted, of discovering, through rigorous empirical and conceptual analysis, the normative bases of human conduct and accountability.
Luca Tateo
Full Text Available Abstract: The commentary presents an epistemological reflection about Dialogical Self theory. First, the theoretical issues of DS about the relationship between individuality, alterity and society are discussed, elaborating on the articles of this special issue. Then, it is presented the argument of psychologist's ontological fallacy, that is the attitude to moving from the study of processes to the study of psychological entities. Finally a development toward new research directions is proposed, focusing on the study of higher psychological functions and processes, taking into account complex symbolic products of human activity and developing psychological imagination.
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
Psychological career resources as predictors of working adults’ career anchors: An exploratory study
Melinde Coetzee; Dries Schreuder
2009-01-01
This study explored the relationship between the psychological career resources and career anchors of a sample of 2 997 working adults at predominantly managerial and supervisory levels in the service industry. The Psychological Career Resources Inventory and the Career Orientations Inventory were applied. Stepwise regression analyses indicated dimensions of psychological career resources as significant predictors of participants’ career anchors. The findings add valuable new knowledge that ...
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…
Predicting Intentions to Seek Psychological Help Among Botswana University Students
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.
Longitudinal relationships between workplace bullying and psychological distress.
Nielsen, Morten Birkeland; Hetland, Jørn; Matthiesen, Stig Berge; Einarsen, Ståle
2012-01-01
The aims of this study were to examine reciprocal longitudinal associations between exposure to workplace bullying and symptoms of psychological distress and to investigate how self-labeled victimization from bullying explains the effects of bullying on health. Logistic regression analysis was employed to examine the longitudinal relationships between workplace bullying and psychological distress in a representative cohort sample of 1775 Norwegian employees. The time-lag between baseline and follow-up was two years. Exposure to bullying behavior was measured with the revised version of the Negative Acts Questionnaire. Perceived victimization from bullying was measured by a single self-labeling question. Psychological distress was measured with the 25-item Hopkins Symptom Checklist. All variables were measured at both baseline and follow-up. After adjustment for psychological distress at baseline, exposure to bullying behavior [odds ratio (OR) 1.68, 95% confidence interval (95% CI) 1.07-2.62) was found to predict subsequent psychological distress. This effect of bullying behaviors disappeared when victimization from bullying (OR 2.47, 95% CI 1.17-5.22) was entered into the regression. Both psychological distress (OR 2.49, 95% CI 1.64-3.80) and victimization (OR 2.61, 95% CI 1.42-4.81) at baseline were associated with increased risks of being a target of bullying behaviors at follow-up. Psychological distress (OR 2.51, 95% CI 1.39-4.52) and bullying behaviors (OR 2.95, 95% CI 1.39-4.52) at follow-up were associated with victimization. The mutual relationship between bullying and psychological distress indicates a vicious circle where bullying and distress reinforce their own negative effects. This highlights the importance of early interventions to stop workplace bullying and provide treatment options to employees with psychological distress.
Incremental Net Effects in Multiple Regression
Lipovetsky, Stan; Conklin, Michael
2005-01-01
A regular problem in regression analysis is estimating the comparative importance of the predictors in the model. This work considers the 'net effects', or shares of the predictors in the coefficient of the multiple determination, which is a widely used characteristic of the quality of a regression model. Estimation of the net effects can be a…
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.
Dealing with Outliers: Robust, Resistant Regression
Glasser, Leslie
2007-01-01
Least-squares linear regression is the best of statistics and it is the worst of statistics. The reasons for this paradoxical claim, arising from possible inapplicability of the method and the excessive influence of "outliers", are discussed and substitute regression methods based on median selection, which is both robust and resistant, are…
Competing Risks Quantile Regression at Work
Dlugosz, Stephan; Lo, Simon M. S.; Wilke, Ralf
2017-01-01
Despite its emergence as a frequently used method for the empirical analysis of multivariate data, quantile regression is yet to become a mainstream tool for the analysis of duration data. We present a pioneering empirical study on the grounds of a competing risks quantile regression model. We use...
Implementing Variable Selection Techniques in Regression.
Thayer, Jerome D.
Variable selection techniques in stepwise regression analysis are discussed. In stepwise regression, variables are added or deleted from a model in sequence to produce a final "good" or "best" predictive model. Stepwise computer programs are discussed and four different variable selection strategies are described. These…
Regression Model With Elliptically Contoured Errors
Arashi, M; Tabatabaey, S M M
2012-01-01
For the regression model where the errors follow the elliptically contoured distribution (ECD), we consider the least squares (LS), restricted LS (RLS), preliminary test (PT), Stein-type shrinkage (S) and positive-rule shrinkage (PRS) estimators for the regression parameters. We compare the quadratic risks of the estimators to determine the relative dominance properties of the five estimators.
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.
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,…
Democracy and Cultural Psychology
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...
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 psycholo
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.
It also addresses the future of psychology in Africa and the world over. ... simultaneous item bias test and logistic discriminant function analysis for detecting ... Types of examination malpractice as perceived by teachers of secondary schools in ...
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.
Democracy and Cultural Psychology
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...
Nigel Foreman
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...
Gergen, Kenneth J.
1973-01-01
An analysis of theory and research in social psychology reveals that while methods of research are scientific in character, theories of social behavior are primarily reflections of contemporary history. (Author)
Goals and Psychological Accounting
Koch, Alexander Karl; Nafziger, Julia
-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......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...
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.
Psychological intervention of murophobia
Asrie Yihun
2011-07-01
Full Text Available Although phobia is more commonly observed during adolescence as compared to adulthood, its specific type of murophobia is uncommon. Especially in a country like Ethiopia, where awareness, orientation to mental health and its psychological treatment is undergoing its infancy on account of several reasons, the neurotic disorders are rarely reported to mental health clinicians. The present study is a case report of a 16-year old adolescent female with murophobia. The case was not registered in any general medical clinic and was sent to our department for further psychological assessment and intervention. The client was comprehensively examined through clinical interview, behavioural analysis and treated by cognitive-behaviour technique of psychological intervention and without the inclusion of psychiatric treatment. Details of the psychological assessment and intervention have been presented in this case report.
"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)
Deconstructivism and psychology
Metka Mencin Čeplak
2003-09-01
Full Text Available In last ten, fifteen years, variety of disciplines literary throng the conceptualizations of identity. This plurality of discourses blurs the boundaries between disciplines and at the same time deepens them. The deconstruction positions in psychology, referring to Althusser's concept of interpellation, Lacanian psychoanalysis and Foucault's theorization of discourse and power relations do not try to define the boundaries and connections between the disciplines. However, in the analyses of the birth of psychological knowledge and their consequences the deconstruction position points out that psychological knowledge fatally reduces the factors constructing identity and subjectivity by limiting itself on individual and interpersonal. This article discusses two consequences of this reduction: this reduction leads to the conclusion that social differentiation is the effect of the individual differences in capacities and personal characteristics and at the same time this reduction impedes psychological knowledge in the analyses of its own role in the power relations.
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.
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
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 psycholo
Adele
Department of Psychology, University of the Free State, Bloemfontein, South Africa ..... inactivity and the avoidance of physical exercise in .... Mood and anxiety ... individuals with chronic pain: the moderating role of pain duration. Pain 2004 ...
Psychological constraints on egalitarianism
Kasperbauer, Tyler Joshua
2015-01-01
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...... 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...
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.
Atherosclerotic plaque regression: fact or fiction?
Shanmugam, Nesan; Román-Rego, Ana; Ong, Peter; Kaski, Juan Carlos
2010-08-01
Coronary artery disease is the major cause of death in the western world. The formation and rapid progression of atheromatous plaques can lead to serious cardiovascular events in patients with atherosclerosis. The better understanding, in recent years, of the mechanisms leading to atheromatous plaque growth and disruption and the availability of powerful HMG CoA-reductase inhibitors (statins) has permitted the consideration of plaque regression as a realistic therapeutic goal. This article reviews the existing evidence underpinning current therapeutic strategies aimed at achieving atherosclerotic plaque regression. In this review we also discuss imaging modalities for the assessment of plaque regression, predictors of regression and whether plaque regression is associated with a survival benefit.
Pathological assessment of liver fibrosis regression
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.
Ecological psychology and social psychology: continuing discussion.
Charles, Eric P
2012-06-01
What form would an ideal merger of ecological and social psychology take? Is that ideal attainable? Many researchers and theorists are working to answer these questions. Charles (2009, 2011a) offered insights from E. B. Holt, one of James J. Gibson's mentors, who argued that minds-mental kinds, processes, states, etc.-are observable aspects of the environment. Phrasing that in Ecological terms, the minds of other organisms are specified in the structure of ambient energy extended over time and space; they are directly perceivable by a properly attuned organism. Ecological Psychology enhances Holt's story, by brining to the table a sophisticated theory of direct perception; Holt enhances the Ecological story by brining to the table a sophisticated theory about the nature of minds. The two combine to form the long-sought ideal merger. Thus, I claimed, Ecological Psychology will either rediscover its roots, or go through the trouble of re-creating them. This paper further develops those ideas, by presenting a simpler version of the argument, suggesting easy ways of dismissing that argument, and addressing the concerns expressed by Castro and Lafuente (2011).
Dovey, T
2016-01-01
The objective of this article was to provide the reader with a brief guide to the psychology of eating. Biological, developmental, cognitive, social, eating disorders and obesity were all discussed and their relative contribution to the psychology of eating was described. This paper has also described how eating behaviourists have conceptualised hunger and fullness in order to understand human motivations to feed. It is hoped that interested readers will continue beyond this article to gain a...
Gessmann H.-W.; Sheronov E.A.
2015-01-01
This paper presents a theoretical overview of current aspects about the validity problems of psychological tests. The article demonstrates the importance of the development of psychological tests and the scientific studies of their validity, describes the different types of validity and the possible ways of measurement and determination of the validity coefficients. The paper is recommended for researchers, whose work is dedicated to the development, modification or adaptation of the psycholo...
Socioaffective Neuroscience & Psychology (SNP)
Mouras, Harold; Faucherre, Adèle
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...
The Individual Differences Tradition in Counseling Psychology.
Dawis, Rene V.
1992-01-01
Traces historical development from individual differences psychology through psychological testing, vocational counseling, and student personnel work, to counseling psychology. Describes individual differences tradition in counseling psychology research and practice. Discusses how individual differences psychology has influenced counseling…
Appraisal, coping, health status, and psychological symptoms.
Folkman, S; Lazarus, R S; Gruen, R J; DeLongis, A
1986-03-01
In this study we examined the relation between personality factors (mastery and interpersonal trust), primary appraisal (the stakes a person has in a stressful encounter), secondary appraisal (options for coping), eight forms of problem- and emotion-focused coping, and somatic health status and psychological symptoms in a sample of 150 community-residing adults. Appraisal and coping processes should be characterized by a moderate degree of stability across stressful encounters for them to have an effect on somatic health status and psychological symptoms. These processes were assessed in five different stressful situations that subjects experienced in their day-to-day lives. Certain processes (e.g., secondary appraisal) were highly variable, whereas others (e.g., emotion-focused forms of coping) were moderately stable. We entered mastery and interpersonal trust, and primary appraisal and coping variables (aggregated over five occasions), into regression analyses of somatic health status and psychological symptoms. The variables did not explain a significant amount of the variance in somatic health status, but they did explain a significant amount of the variance in psychological symptoms. The pattern of relations indicated that certain variables were positively associated and others negatively associated with symptoms.
Integrative psychology: the return to the subject of psychology
Kozlov, Vladimir V.
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...
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...
Giving Psychology Away Is Expensive
Gorsuch, Richard L.; Wallace, William L.
2005-01-01
This article presents comments on "Does Psychology make a significant difference in our lives?" by P. Zimbardo. We deeply appreciate the documentation and inspiration provided by Zimbardo on how psychology is reaching out to the public by "giving psychology away" (p. 340). We totally agree that psychology has much, much more to offer that could be…
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,…
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)…
Psychological distress and patient satisfaction.
Greenley, J R; Young, T B; Schoenherr, R A
1982-04-01
Psychologically distressed patients and clients of health care and social service organizations are found to report somewhat more dissatisfaction with services than do the nondistressed. Four explanations for this relationship are examined: 1) the psychologically distressed are generally dissatisfied; 2) service providers react negatively to the psychologically distressed; 3) psychologically distressed patients are dissatisfied when service providers do not respond to their psychological needs; and 4) patients who deny their psychological distress tend to be dissatisfied. The results show that the psychologically distressed report more dissatisfaction because of the very high levels of dissatisfaction found among patients who deny having personal problems.
Quantile regression applied to spectral distance decay
Rocchini, D.; Cade, B.S.
2008-01-01
Remotely sensed imagery has long been recognized as a powerful support for characterizing and estimating biodiversity. Spectral distance among sites has proven to be a powerful approach for detecting species composition variability. Regression analysis of species similarity versus spectral distance allows us to quantitatively estimate the amount of turnover in species composition with respect to spectral and ecological variability. In classical regression analysis, the residual sum of squares is minimized for the mean of the dependent variable distribution. However, many ecological data sets are characterized by a high number of zeroes that add noise to the regression model. Quantile regressions can be used to evaluate trend in the upper quantiles rather than a mean trend across the whole distribution of the dependent variable. In this letter, we used ordinary least squares (OLS) and quantile regressions to estimate the decay of species similarity versus spectral distance. The achieved decay rates were statistically nonzero (p species similarity when habitats are more similar. In this letter, we demonstrated the power of using quantile regressions applied to spectral distance decay to reveal species diversity patterns otherwise lost or underestimated by OLS regression. ?? 2008 IEEE.
Hypotheses testing for fuzzy robust regression parameters
Kula, Kamile Sanli [Ahi Evran University, Department of Mathematics, 40200 Kirsehir (Turkey)], E-mail: sanli2004@hotmail.com; Apaydin, Aysen [Ankara University, Department of Statistics, 06100 Ankara (Turkey)], E-mail: apaydin@science.ankara.edu.tr
2009-11-30
The classical least squares (LS) method is widely used in regression analysis because computing its estimate is easy and traditional. However, LS estimators are very sensitive to outliers and to other deviations from basic assumptions of normal theory [Huynh H. A comparison of four approaches to robust regression. Psychol Bull 1982;92:505-12; Stephenson D. 2000. Available from: (http://folk.uib.no/ngbnk/kurs/notes/node38.html); Xu R, Li C. Multidimensional least-squares fitting with a fuzzy model. Fuzzy Sets and Systems 2001;119:215-23.]. If there exists outliers in the data set, robust methods are preferred to estimate parameters values. We proposed a fuzzy robust regression method by using fuzzy numbers when x is crisp and Y is a triangular fuzzy number and in case of outliers in the data set, a weight matrix was defined by the membership function of the residuals. In the fuzzy robust regression, fuzzy sets and fuzzy regression analysis was used in ranking of residuals and in estimation of regression parameters, respectively [Sanli K, Apaydin A. Fuzzy robust regression analysis based on the ranking of fuzzy sets. Inernat. J. Uncertainty Fuzziness and Knowledge-Based Syst 2008;16:663-81.]. In this study, standard deviation estimations are obtained for the parameters by the defined weight matrix. Moreover, we propose another point of view in hypotheses testing for parameters.
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)
Relative risk regression analysis of epidemiologic data.
Prentice, R L
1985-11-01
Relative risk regression methods are described. These methods provide a unified approach to a range of data analysis problems in environmental risk assessment and in the study of disease risk factors more generally. Relative risk regression methods are most readily viewed as an outgrowth of Cox's regression and life model. They can also be viewed as a regression generalization of more classical epidemiologic procedures, such as that due to Mantel and Haenszel. In the context of an epidemiologic cohort study, relative risk regression methods extend conventional survival data methods and binary response (e.g., logistic) regression models by taking explicit account of the time to disease occurrence while allowing arbitrary baseline disease rates, general censorship, and time-varying risk factors. This latter feature is particularly relevant to many environmental risk assessment problems wherein one wishes to relate disease rates at a particular point in time to aspects of a preceding risk factor history. Relative risk regression methods also adapt readily to time-matched case-control studies and to certain less standard designs. The uses of relative risk regression methods are illustrated and the state of development of these procedures is discussed. It is argued that asymptotic partial likelihood estimation techniques are now well developed in the important special case in which the disease rates of interest have interpretations as counting process intensity functions. Estimation of relative risks processes corresponding to disease rates falling outside this class has, however, received limited attention. The general area of relative risk regression model criticism has, as yet, not been thoroughly studied, though a number of statistical groups are studying such features as tests of fit, residuals, diagnostics and graphical procedures. Most such studies have been restricted to exponential form relative risks as have simulation studies of relative risk estimation
Variable and subset selection in PLS regression
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
Regressive language in severe head injury.
Thomsen, I V; Skinhoj, E
1976-09-01
In a follow-up study of 50 patients with severe head injuries three patients had echolalia. One patient with initially global aphasia had echolalia for some weeks when he started talking. Another patient with severe diffuse brain damage, dementia, and emotional regression had echolalia. The dysfunction was considered a detour performance. In the third patient echolalia and palilalia were details in a total pattern of regression lasting for months. The patient, who had extensive frontal atrophy secondary to a very severe head trauma, presented an extreme state of regression returning to a foetal-body pattern and behaving like a baby.
Regression of altitude-produced cardiac hypertrophy.
Sizemore, D. A.; Mcintyre, T. W.; Van Liere, E. J.; Wilson , M. F.
1973-01-01
The rate of regression of cardiac hypertrophy with time has been determined in adult male albino rats. The hypertrophy was induced by intermittent exposure to simulated high altitude. The percentage hypertrophy was much greater (46%) in the right ventricle than in the left (16%). The regression could be adequately fitted to a single exponential function with a half-time of 6.73 plus or minus 0.71 days (90% CI). There was no significant difference in the rates of regression for the two ventricles.
Regression of altitude-produced cardiac hypertrophy.
Sizemore, D. A.; Mcintyre, T. W.; Van Liere, E. J.; Wilson , M. F.
1973-01-01
The rate of regression of cardiac hypertrophy with time has been determined in adult male albino rats. The hypertrophy was induced by intermittent exposure to simulated high altitude. The percentage hypertrophy was much greater (46%) in the right ventricle than in the left (16%). The regression could be adequately fitted to a single exponential function with a half-time of 6.73 plus or minus 0.71 days (90% CI). There was no significant difference in the rates of regression for the two ventricles.
Lucas, Jennifer L.; Blazek, Melissa A.; Raley, Amber B.; Washington, Christi
2005-01-01
The first goal of this study was to look at the representation of educational and school psychology in introductory psychology textbooks. Research into the representation of other sub-fields of psychology has been conducted but no research has looked specifically at educational or school psychology. The second goal was to compare the…
Lucas, Jennifer L.; Blazek, Melissa A.; Raley, Amber B.; Washington, Christi
2005-01-01
The first goal of this study was to look at the representation of educational and school psychology in introductory psychology textbooks. Research into the representation of other sub-fields of psychology has been conducted but no research has looked specifically at educational or school psychology. The second goal was to compare the…
The mediating effect of psychological distress on functional dependence in stroke patients.
Huang, Hui-Chuan; Huang, Li-Kai; Hu, Chaur-Jong; Chang, Chien-Hung; Lee, Hsin-Chien; Chi, Nai-Fang; Shyu, Meei-Ling; Chang, Hsiu-Ju
2014-12-01
To explore varied forms of psychological distress and to determine the mediating influence of psychological distress on functional outcomes in stroke patients. Previous studies attest to the influence of depression on poststroke functional recovery. While there is evidence for neuropathological deficits that occur after stroke to be associated with psychological distress, few studies have explored the effect of various types of psychological distress on functional recovery. A cross-sectional study was used. Data were collected from 178 first-time stroke patients. Study variables included demographic and disease characteristics (stroke location and stroke syndrome classification), psychological distress (the Chinese language version of the Emotional and Social Dysfunction Questionnaire) and functional outcome (Barthel index). Regression and mediation models were used to evaluate the effect of psychological distress on functional outcome. Results revealed that stroke patients experience various forms of mild psychological distress, including anger, helplessness, emotional dyscontrol, indifference, inertia and euphoria, after stroke. Regression and mediation analyses further confirmed that various forms of psychological distress significantly mediated the effect of severe stroke syndromes on functional dependence. The various forms of psychological distress after stroke might play a mediating role in functional recovery and explain how stroke severity affects functional dependence. By understanding the nature of various forms of psychological distress, healthcare professionals should adopt appropriate assessment instruments and design effective interventions to help improve mental and physical function of stroke patients. © 2014 John Wiley & Sons Ltd.
Residential behavioural energy savings : a meta-regression analysis
Tiedemann, K.H. [BC Hydro, Burnaby, BC (Canada)
2009-07-01
Increasing attention is being given to opportunities for residential energy behavioural savings, as developed countries attempt to reduce energy use and greenhouse gas emissions. Several utility companies have undertaken pilot programs geared at understanding which interventions are most effective in reducing residential energy consumption through behavioural change. This paper presented the first metaregression analysis of residential energy behavioural savings. This study focused on interventions which affected household energy-related behaviours and as a result, affected household energy use. The paper described rational choice theory, the theory of planned behaviour, and the integration of rational choice theory and the adjusted expectancy values theory in a simple framework. The paper also discussed the review of various social, psychological and economics journals and databases. The results of the studies were presented. A basic concept in meta-regression analysis is the effects size which is defined as the program effect divided by the standard error of the program effect. A lengthy review of the literature found twenty-eight treatments from ten experiments for which an effect size could be calculated. The experiments involved classifying treatments according to whether the interventions were information, goal setting, feedback, rewards or combinations of these interventions. The impact of these alternative interventions on the effect size was then modelled using White's robust regression. Five regression models were compared on the basis of the Akaike's information criterion. It was found that model 5, which used all of the regressors, was the preferred model. It was concluded that the theory of planned behaviour is more appropriate in the context of analysis of behavioural change and energy use. 21 refs., 4 tabs.
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 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.
Cultural Consonance, Religion and Psychological Distress in an Urban Community
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.
Psychological characteristics of Danish women with cosmetic breast implants
Lipworth, Loren; Kjøller, Kim; Hölmich, Lisbet R
2009-01-01
An excess of suicide among women with cosmetic breast implants compared with controls has consistently been reported in epidemiologic studies. We have evaluated psychological characteristics among 423 Danish women with cosmetic breast implants, compared with 414 controls. Odds ratios (OR) with 95......% confidence intervals (CI) for self-reported psychological symptoms were calculated using multiple logistic regression. Substantial excesses of all studied symptoms before implant surgery were reported among women with breast implants compared with women with other cosmetic surgery, whereas ORs for virtually......, the corresponding ORs for these 3 psychological symptoms after surgery were 0.9 (95% CI = 0.6-1.4), 1.0 (95% CI = 0.7-1.5), and 1.0 (95% CI = 0.6-1.5), respectively. In conclusion, women with cosmetic breast implants reported preoperative psychological symptoms indicative of depressive disorders substantially more...
In precision agriculture regression has been used widely to quality the relationship between soil attributes and other environmental variables. However, spatial correlation existing in soil samples usually makes the regression model suboptimal. In this study, a regression-kriging method was attemp...
Multiple Instance Regression with Structured Data
Wagstaff, Kiri L.; Lane, Terran; Roper, Alex
2008-01-01
This slide presentation reviews the use of multiple instance regression with structured data from multiple and related data sets. It applies the concept to a practical problem, that of estimating crop yield using remote sensed country wide weekly observations.
Prediction of Dynamical Systems by Symbolic Regression
Quade, Markus; Shafi, Kamran; Niven, Robert K; Noack, Bernd R
2016-01-01
We study the modeling and prediction of dynamical systems based on conventional models derived from measurements. Such algorithms are highly desirable in situations where the underlying dynamics are hard to model from physical principles or simplified models need to be found. We focus on symbolic regression methods as a part of machine learning. These algorithms are capable of learning an analytically tractable model from data, a highly valuable property. Symbolic regression methods can be considered as generalized regression methods. We investigate two particular algorithms, the so-called fast function extraction which is a generalized linear regression algorithm, and genetic programming which is a very general method. Both are able to combine functions in a certain way such that a good model for the prediction of the temporal evolution of a dynamical system can be identified. We illustrate the algorithms by finding a prediction for the evolution of a harmonic oscillator based on measurements, by detecting a...
Some Simple Computational Formulas for Multiple Regression
Aiken, Lewis R., Jr.
1974-01-01
Short-cut formulas are presented for direct computation of the beta weights, the standard errors of the beta weights, and the multiple correlation coefficient for multiple regression problems involving three independent variables and one dependent variable. (Author)
Spontaneous Regression of an Incidental Spinal Meningioma
Ali Yilmaz
2015-12-01
Full Text Available AIM: The regression of meningioma has been reported in literature before. In spite of the fact that the regression may be involved by hemorrhage, calcification or some drugs withdrawal, it is rarely observed spontaneously. CASE REPORT: We report a 17 year old man with a cervical meningioma which was incidentally detected. In his cervical MRI an extradural, cranio-caudal contrast enchanced lesion at C2-C3 levels of the cervical spinal cord was detected. Despite the slight compression towards the spinal cord, he had no symptoms and refused any kind of surgical approach. The meningioma was followed by control MRI and it spontaneously regressed within six months. There were no signs of hemorrhage or calcification. CONCLUSION: Although it is a rare condition, the clinicians should consider that meningiomas especially incidentally diagnosed may be regressed spontaneously.
Spontaneous Regression of an Incidental Spinal Meningioma.
Yilmaz, Ali; Kizilay, Zahir; Sair, Ahmet; Avcil, Mucahit; Ozkul, Ayca
2016-03-15
The regression of meningioma has been reported in literature before. In spite of the fact that the regression may be involved by hemorrhage, calcification or some drugs withdrawal, it is rarely observed spontaneously. We report a 17 year old man with a cervical meningioma which was incidentally detected. In his cervical MRI an extradural, cranio-caudal contrast enchanced lesion at C2-C3 levels of the cervical spinal cord was detected. Despite the slight compression towards the spinal cord, he had no symptoms and refused any kind of surgical approach. The meningioma was followed by control MRI and it spontaneously regressed within six months. There were no signs of hemorrhage or calcification. Although it is a rare condition, the clinicians should consider that meningiomas especially incidentally diagnosed may be regressed spontaneously.
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 e
Patterns of Regression in Rett Syndrome
J Gordon Millichap
2002-10-01
Full Text Available Patterns and features of regression in a case series of 53 girls and women with Rett syndrome were studied at the Institute of Child Health and Great Ormond Street Children’s Hospital, London, UK.
A new bivariate negative binomial regression model
Faroughi, Pouya; Ismail, Noriszura
2014-12-01
This paper introduces a new form of bivariate negative binomial (BNB-1) regression which can be fitted to bivariate and correlated count data with covariates. The BNB regression discussed in this study can be fitted to bivariate and overdispersed count data with positive, zero or negative correlations. The joint p.m.f. of the BNB1 distribution is derived from the product of two negative binomial marginals with a multiplicative factor parameter. Several testing methods were used to check overdispersion and goodness-of-fit of the model. Application of BNB-1 regression is illustrated on Malaysian motor insurance dataset. The results indicated that BNB-1 regression has better fit than bivariate Poisson and BNB-2 models with regards to Akaike information criterion.
Heteroscedastic regression analysis method for mixed data
FU Hui-min; YUE Xiao-rui
2011-01-01
The heteroscedastic regression model was established and the heteroscedastic regression analysis method was presented for mixed data composed of complete data, type- I censored data and type- Ⅱ censored data from the location-scale distribution. The best unbiased estimations of regression coefficients, as well as the confidence limits of the location parameter and scale parameter were given. Furthermore, the point estimations and confidence limits of percentiles were obtained. Thus, the traditional multiple regression analysis method which is only suitable to the complete data from normal distribution can be extended to the cases of heteroscedastic mixed data and the location-scale distribution. So the presented method has a broad range of promising applications.
Predicting Success in Psychological Statistics Courses.
Lester, David
2016-06-01
Many students perform poorly in courses on psychological statistics, and it is useful to be able to predict which students will have difficulties. In a study of 93 undergraduates enrolled in Statistical Methods (18 men, 75 women; M age = 22.0 years, SD = 5.1), performance was significantly associated with sex (female students performed better) and proficiency in algebra in a linear regression analysis. Anxiety about statistics was not associated with course performance, indicating that basic mathematical skills are the best correlate for performance in statistics courses and can usefully be used to stream students into classes by ability.
Superquantile Regression: Theory, Algorithms, and Applications
2014-12-01
Isabel. I love having you in my arms, and although you are still too young to understand what a hug is, your warmth has given me the strength and...squares and the quantile regression models adjust to changes in the data set, denoted by the red dots. Notice that the observa- tions are moved upwards...model hardly changes. If we change this observation in red even further upwards, we would notice no more changes in the quantile regression function
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.
Boosted regression tree, table, and figure data
Spreadsheets are included here to support the manuscript Boosted Regression Tree Models to Explain Watershed Nutrient Concentrations and Biological Condition. This dataset is associated with the following publication:Golden , H., C. Lane , A. Prues, and E. D'Amico. Boosted Regression Tree Models to Explain Watershed Nutrient Concentrations and Biological Condition. JAWRA. American Water Resources Association, Middleburg, VA, USA, 52(5): 1251-1274, (2016).
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.
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.
Spontaneous regression of metastatic Merkel cell carcinoma.
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.
The Infinite Hierarchical Factor Regression Model
Rai, Piyush
2009-01-01
We propose a nonparametric Bayesian factor regression model that accounts for uncertainty in the number of factors, and the relationship between factors. To accomplish this, we propose a sparse variant of the Indian Buffet Process and couple this with a hierarchical model over factors, based on Kingman's coalescent. We apply this model to two problems (factor analysis and factor regression) in gene-expression data analysis.
Marginal longitudinal semiparametric regression via penalized splines.
Kadiri, M Al; Carroll, R J; Wand, M P
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.
Hayes, L J
1992-01-01
The present paper compares behavior-analytic and cognitive treatments of the concept of psychological history with regard to its role in current action. Both treatments take the position that the past bears some responsibility for the present, and are thereby obligated to find a means of actualizing the past in the present. Both do so by arguing that the past is brought to bear in the present via the organism. Although the arguments of the two positions differ on this issue, neither provides a complete account. An unconventional treatment of psychological history is proposed, the logic of which is exemplified in anthropological, biological, and psychological perspectives. The unconventional treatment in psychological perspective holds that (a) the organism's interaction with its environment, not the organism itself, changes with experience; and (b) the past interactions of an organism exist as, and only as, the present interactions of that organism. This solution to the problem of psychological history provides obligations and opportunities for analysis that are not available when the more conventional positions of cognitivism and behavior analysis are adopted.
Multiple-Instance Regression with Structured Data
Wagstaff, Kiri L.; Lane, Terran; Roper, Alex
2008-01-01
We present a multiple-instance regression algorithm that models internal bag structure to identify the items most relevant to the bag labels. Multiple-instance regression (MIR) operates on a set of bags with real-valued labels, each containing a set of unlabeled items, in which the relevance of each item to its bag label is unknown. The goal is to predict the labels of new bags from their contents. Unlike previous MIR methods, MI-ClusterRegress can operate on bags that are structured in that they contain items drawn from a number of distinct (but unknown) distributions. MI-ClusterRegress simultaneously learns a model of the bag's internal structure, the relevance of each item, and a regression model that accurately predicts labels for new bags. We evaluated this approach on the challenging MIR problem of crop yield prediction from remote sensing data. MI-ClusterRegress provided predictions that were more accurate than those obtained with non-multiple-instance approaches or MIR methods that do not model the bag structure.
[Iris movement mediates pupillary membrane regression].
Morizane, Yuki
2007-11-01
In the course of mammalian lens development, a transient capillary meshwork called as the pupillary membrane (PM) forms. It is located in the pupil area to nourish the anterior surface of the lens, and then regresses to clear the optical path. Although the involvement of the apoptotic process has been reported in PM regression, the initiating factor remains unknown. We initially found that regression of the PM coincided with the development of iris motility, and that iris movement caused cessation and resumption of blood flow within the PM. Therefore, we investigated whether the development of the capacity of the iris to constrict and dilate can function as an essential signal that induces apoptosis in the PM. Continuous inhibition of iris movement with mydriatic agents suppressed apoptosis of the PM and resulted in the persistence of PM in rats. The distribution of apoptotic cells in the regressing PM was diffuse and showed no apparent localization. These results indicated that iris movement induced regression of the PM by changing the blood flow within it. This study suggests the importance of the physiological interactions between tissues-in this case, the iris and the PM-as a signal to advance vascular regression during organ development.
Post-processing through linear regression
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.
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.
Lest we forget that industrial and organisational psychology is psychology
DJW Strümpfer
2007-01-01
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.
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.
Qualitative experiments in psychology
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...
Democracy and Cultural Psychology
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...... 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...... its role as a scientific discipline that contributes to making transparent the political, social, and interpersonal relations that define how our lives are shaped, if we want a discipline that provides value beyond the scientific realm....
[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.
Psychology, replication & beyond.
Laws, Keith R
2016-06-01
Modern psychology is apparently in crisis and the prevailing view is that this partly reflects an inability to replicate past findings. If a crisis does exists, then it is some kind of 'chronic' crisis, as psychologists have been censuring themselves over replicability for decades. While the debate in psychology is not new, the lack of progress across the decades is disappointing. Recently though, we have seen a veritable surfeit of debate alongside multiple orchestrated and well-publicised replication initiatives. The spotlight is being shone on certain areas and although not everyone agrees on how we should interpret the outcomes, the debate is happening and impassioned. The issue of reproducibility occupies a central place in our whig history of psychology.
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.
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
Sociogenomic personality psychology.
Roberts, Brent W; Jackson, Joshua J
2008-12-01
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.
Genetics and educational psychology.
Plomin, Robert; Walker, Sheila O
2003-03-01
Molecular genetics, one of the most energetic and exciting areas of science, is slowly but surely coming to educational psychology. We review recent molecular genetic research on learning disabilities as a sign of things to come in educational psychology. We also consider some misconceptions about genetics that have slowed the acceptance of genetics in educational psychology. Diverse samples of children with learning disabilities have been studied, primarily in the UK and the USA. Linkage analysis can detect genes that have large effects on learning disabilities. Association analysis can detect genes of much smaller effect size, which is important because common disorders such as learning disabilities are likely to be influenced by many genes as well as by many environmental factors. For reading disability, replicated linkages have been identified on chromosomes 6, 15 and 18. A gene responsible for a rare type of language impairment has recently been identified. For common language impairment, linkages on chromosomes 16 and 19 have recently been reported. More than 200 genetic disorders, most extremely rare, include mental retardation among their symptoms, and chromosomal abnormalities are a major cause of mental retardation. Although finding specific genes associated with learning disabilities is unlikely to have much of a direct application for teachers in the classroom, such findings will have far-reaching implications for diagnosis, treatment and prevention of learning disabilities and for research in educational psychology. Educational psychology has been slower to accept evidence for the importance of genetics than other areas of psychology in part because of misconceptions about what it means to say that genetics is important for common complex disorders such as learning disabilities.
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...
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...
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.
Elbe, Anne-Marie; Barkoukis, Vassilis
2017-08-01
Doping is increasingly becoming a problem in both elite and recreational sports. It is therefore important to understand the psychological factors which can explain doping behavior in order to prevent it. The present paper briefly presents evidence on the prevalence of doping use in competitive sports and the measurement approaches to assess doping behavior and doping-related variables. Furthermore, the integrative theoretical approaches used to describe the psychological processes underlying doping use are discussed. Finally, the paper provides suggestions for appropriate measurement of doping behavior and doping-related variables, key preventive efforts against doping as well as avenues for future research. Copyright © 2017 Elsevier Ltd. All rights reserved.
Mindfulness and clinical psychology.
Childs, David
2011-09-01
Does mindfulness offer more to psychology than a useful therapeutic technique? This paper argues that it can also establish a state of presence which is understood in relation to the practice of phenomenology. Mindfulness is then both linked to a Western intellectual tradition and offers that tradition a systematic method. This is an opening for psychological investigation of the non-conceptual basis of everyday experience. The combination of this theoretical stance with the increasingly widespread practical training of clinical psychologists in mindfulness has broad implications for clinical practice; this is illustrated in relation to the descriptive approach to clinical problems, qualitative research, and reflective practice.
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.
Regression Test Selection for C# Programs
Nashat Mansour
2009-01-01
Full Text Available We present a regression test selection technique for C# programs. C# is fairly new and is often used within the Microsoft .Net framework to give programmers a solid base to develop a variety of applications. Regression testing is done after modifying a program. Regression test selection refers to selecting a suitable subset of test cases from the original test suite in order to be rerun. It aims to provide confidence that the modifications are correct and did not affect other unmodified parts of the program. The regression test selection technique presented in this paper accounts for C#.Net specific features. Our technique is based on three phases; the first phase builds an Affected Class Diagram consisting of classes that are affected by the change in the source code. The second phase builds a C# Interclass Graph (CIG from the affected class diagram based on C# specific features. In this phase, we reduce the number of selected test cases. The third phase involves further reduction and a new metric for assigning weights to test cases for prioritizing the selected test cases. We have empirically validated the proposed technique by using case studies. The empirical results show the usefulness of the proposed regression testing technique for C#.Net programs.
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.
Hyperglycemia impairs atherosclerosis regression in mice.
Gaudreault, Nathalie; Kumar, Nikit; Olivas, Victor R; Eberlé, Delphine; Stephens, Kyle; Raffai, Robert L
2013-12-01
Diabetic patients are known to be more susceptible to atherosclerosis and its associated cardiovascular complications. However, the effects of hyperglycemia on atherosclerosis regression remain unclear. We hypothesized that hyperglycemia impairs atherosclerosis regression by modulating the biological function of lesional macrophages. HypoE (Apoe(h/h)Mx1-Cre) mice express low levels of apolipoprotein E (apoE) and develop atherosclerosis when fed a high-fat diet. Atherosclerosis regression occurs in these mice upon plasma lipid lowering induced by a change in diet and the restoration of apoE expression. We examined the morphological characteristics of regressed lesions and assessed the biological function of lesional macrophages isolated with laser-capture microdissection in euglycemic and hyperglycemic HypoE mice. Hyperglycemia induced by streptozotocin treatment impaired lesion size reduction (36% versus 14%) and lipid loss (38% versus 26%) after the reversal of hyperlipidemia. However, decreases in lesional macrophage content and remodeling in both groups of mice were similar. Gene expression analysis revealed that hyperglycemia impaired cholesterol transport by modulating ATP-binding cassette A1, ATP-binding cassette G1, scavenger receptor class B family member (CD36), scavenger receptor class B1, and wound healing pathways in lesional macrophages during atherosclerosis regression. Hyperglycemia impairs both reduction in size and loss of lipids from atherosclerotic lesions upon plasma lipid lowering without significantly affecting the remodeling of the vascular wall.
Psychological well-being and psychological distress for professors in Brazil and Canada.
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
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…
From Aesthetics to Psychology: Notes on Vygotsky's "Psychology of Art."
Guimaraes Lima, Marcelo
1995-01-01
Discusses Vygotsky's ideas in art psychology on the role of emotion in art, the nature of the aesthetic experience, the semiotic nature of psychological processes, and the foundation of a Marxist psychology and a Marxist aesthetics. Central to all of his ideas was his critique of Russian formalism. (MMU)
The Representation of Applied Psychology Areas in Introductory Psychology Textbooks
Haselhuhn, Charlotte W.; Clopton, Kerri L.
2008-01-01
Many psychology majors indicate helping others as a reason for majoring in psychology, yet many enter positions not closely related to the field. This discrepancy may be due to a lack of student knowledge of the applied areas of psychology. The purpose of this study was to investigate the coverage of clinical, counseling,…
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…
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…
Sport Psychology: An Emerging Domain in the Counseling Psychology Profession?
Petrie, Trent A.; And Others
1995-01-01
Surveyed counseling psychologists on their involvement in sport psychology research, training, and practice; their affiliation with sport psychology professional organizations; and their attitudes toward current professional sport psychology issues. Found that counseling psychologists were minimally involved, and had received little formal…
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…
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.
Competing Risks Quantile Regression at Work
Dlugosz, Stephan; Lo, Simon M. S.; Wilke, Ralf
2017-01-01
Despite its emergence as a frequently used method for the empirical analysis of multivariate data, quantile regression is yet to become a mainstream tool for the analysis of duration data. We present a pioneering empirical study on the grounds of a competing risks quantile regression model. We us...... into the distribution of transitions out of maternity leave. It is found that cumulative incidences implied by the quantile regression model differ from those implied by a proportional hazards model. To foster the use of the model, we make an R-package (cmprskQR) available....... large-scale maternity duration data with multiple competing risks derived from German linked social security records to analyse how public policies are related to the length of economic inactivity of young mothers after giving birth. Our results show that the model delivers detailed insights...
SMOOTH TRANSITION LOGISTIC REGRESSION MODEL TREE
RODRIGO PINTO MOREIRA
2008-01-01
Este trabalho tem como objetivo principal adaptar o modelo STR-Tree, o qual é a combinação de um modelo Smooth Transition Regression com Classification and Regression Tree (CART), a fim de utilizá-lo em Classificação. Para isto algumas alterações foram realizadas em sua forma estrutural e na estimação. Devido ao fato de estarmos fazendo classificação de variáveis dependentes binárias, se faz necessária a utilização das técnicas empregadas em Regressão Logística, dessa forma a estimação dos pa...
Unsupervised K-Nearest Neighbor Regression
Kramer, Oliver
2011-01-01
In many scientific disciplines structures in high-dimensional data have to be found, e.g., in stellar spectra, in genome data, or for face recognition tasks. In this work we present a novel approach to non-linear dimensionality reduction. It is based on fitting K-nearest neighbor regression to the unsupervised regression framework for learning of low-dimensional manifolds. Similar to related approaches that are mostly based on kernel methods, unsupervised K-nearest neighbor (UKNN) regression optimizes latent variables w.r.t. the data space reconstruction error employing the K-nearest neighbor heuristic. The problem of optimizing latent neighborhoods is difficult to solve, but the UKNN formulation allows an efficient strategy of iteratively embedding latent points to fixed neighborhood topologies. The approaches will be tested experimentally.
LINEAR REGRESSION WITH R AND HADOOP
Bogdan OANCEA
2015-07-01
Full Text Available In this paper we present a way to solve the linear regression model with R and Hadoop using the Rhadoop library. We show how the linear regression model can be solved even for very large models that require special technologies. For storing the data we used Hadoop and for computation we used R. The interface between R and Hadoop is the open source library RHadoop. We present the main features of the Hadoop and R software systems and the way of interconnecting them. We then show how the least squares solution for the linear regression problem could be expressed in terms of map-reduce programming paradigm and how could be implemented using the Rhadoop library.
Rapidly Regressive Unilateral Fetal Pleural Effusion
Tuncay Yuce
2015-03-01
Full Text Available Intrauterine pleural effusion of fetal lungs rarely regresses without intervention. In our case we treated a women at 32th weeks of gestation. Her pregnancy was complicated with fetal pleural effusion and polyhydramniosis. A therapeutic thoracocentesis was planned and she received two courses of betamethasone prior to procedure. On the day of planned procedure, a substantial regression of pleural effusion was observed and procedure was postponed. During her antenatal follow-up a complete regression of pleural effusion was observed. After delivery pleural effusion did not relapse. These findings hint there may be a role of antenatal steroids in treatment of fetal pleural effusion, which is known to be resistant to treatment modalities both during antenatal and postnatal period. [Cukurova Med J 2015; 40(Suppl 1: 25-28
Uncertainty quantification in DIC with Kriging regression
Wang, Dezhi; DiazDelaO, F. A.; Wang, Weizhuo; Lin, Xiaoshan; Patterson, Eann A.; Mottershead, John E.
2016-03-01
A Kriging regression model is developed as a post-processing technique for the treatment of measurement uncertainty in classical subset-based Digital Image Correlation (DIC). Regression is achieved by regularising the sample-point correlation matrix using a local, subset-based, assessment of the measurement error with assumed statistical normality and based on the Sum of Squared Differences (SSD) criterion. This leads to a Kriging-regression model in the form of a Gaussian process representing uncertainty on the Kriging estimate of the measured displacement field. The method is demonstrated using numerical and experimental examples. Kriging estimates of displacement fields are shown to be in excellent agreement with 'true' values for the numerical cases and in the experimental example uncertainty quantification is carried out using the Gaussian random process that forms part of the Kriging model. The root mean square error (RMSE) on the estimated displacements is produced and standard deviations on local strain estimates are determined.
KINERJA JACKKNIFE RIDGE REGRESSION DALAM MENGATASI MULTIKOLINEARITAS
HANY DEVITA
2015-02-01
Full Text Available Ordinary least square is a parameter estimations for minimizing residual sum of squares. If the multicollinearity was found in the data, unbias estimator with minimum variance could not be reached. Multicollinearity is a linear correlation between independent variabels in model. Jackknife Ridge Regression(JRR as an extension of Generalized Ridge Regression (GRR for solving multicollinearity. Generalized Ridge Regression is used to overcome the bias of estimators caused of presents multicollinearity by adding different bias parameter for each independent variabel in least square equation after transforming the data into an orthoghonal form. Beside that, JRR can reduce the bias of the ridge estimator. The result showed that JRR model out performs GRR model.
On Solving Lq-Penalized Regressions
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.
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 ...
Confronting Psychology's Power
Fox, Dennis
2008-01-01
Isaac Prilleltensky (this issue, pp. 116-136) seeks to make community psychology a more effective force for social justice. His discussion of psychopolitical validity raises a number of questions: How perfect must the theoretical framework be to usefully oppose unjust power? In what way is the notion of "psychopolitical validity" most useful? How…
APA Educational Psychology Handbook
Harris, Karen R., Ed.; Graham, Steve, Ed.; Urdan, Tim, Ed.
2011-01-01
The "APA Educational Psychology Handbook" reflects the broad nature of the field today, with state-of-the-science reviews of the diverse critical theories driving research and practice; in-depth investigation of the range of individual differences and cultural/contextual factors that affect student achievement, motivation, and beliefs;…
Qualitative experiments in psychology
Wagoner, Brady
2015-01-01
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...
Logotherapy and positive psychology
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.
Paediatric psychological problems.
Pollack, Allan; Harrison, Christopher; Charles, Janice; Britt, Helena
2014-04-01
A 2011 BEACH-based study showed that over the past 40 years there has been increasing general practitioner (GP) involvement in the management of paediatric mental health in Australia. There has also been a changing mix of psychological conditions managed, including increased management of attention deficit hyperactivity disorder (ADHD) and autism spectrum disorders (ASD).
APA Educational Psychology Handbook
Harris, Karen R., Ed.; Graham, Steve, Ed.; Urdan, Tim, Ed.
2011-01-01
The "APA Educational Psychology Handbook" reflects the broad nature of the field today, with state-of-the-science reviews of the diverse critical theories driving research and practice; in-depth investigation of the range of individual differences and cultural/contextual factors that affect student achievement, motivation, and beliefs; and close…
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…
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…
Psychological Adjustment and Homosexuality.
Gonsiorek, John C.
In this paper, the diverse literature bearing on the topic of homosexuality and psychological adjustment is critically reviewed and synthesized. The first chapter discusses the most crucial methodological issue in this area, the problem of sampling. The kinds of samples used to date are critically examined, and some suggestions for improved…
Advances in Environmental Psychology
Nasar, Jack L.
2015-01-01
When Plenum stopped publishing its edited series—Human Behavior and Environment and Advances in Environment, Behavior and Design—the field of environmental psychology suffered a loss. Scholars could go to one of the edited Plenum books to find state-of-the-art reviews on existing and emerging areas of research. [...
APA Educational Psychology Handbook
Harris, Karen R., Ed.; Graham, Steve, Ed.; Urdan, Tim, Ed.
2011-01-01
The "APA Educational Psychology Handbook" reflects the broad nature of the field today, with state-of-the-science reviews of the diverse critical theories driving research and practice; in-depth investigation of the range of individual differences and cultural/contextual factors that affect student achievement, motivation, and beliefs;…
A tutorial on Bayesian Normal linear regression
Klauenberg, Katy; Wübbeler, Gerd; Mickan, Bodo; Harris, Peter; Elster, Clemens
2015-12-01
Regression is a common task in metrology and often applied to calibrate instruments, evaluate inter-laboratory comparisons or determine fundamental constants, for example. Yet, a regression model cannot be uniquely formulated as a measurement function, and consequently the Guide to the Expression of Uncertainty in Measurement (GUM) and its supplements are not applicable directly. Bayesian inference, however, is well suited to regression tasks, and has the advantage of accounting for additional a priori information, which typically robustifies analyses. Furthermore, it is anticipated that future revisions of the GUM shall also embrace the Bayesian view. Guidance on Bayesian inference for regression tasks is largely lacking in metrology. For linear regression models with Gaussian measurement errors this tutorial gives explicit guidance. Divided into three steps, the tutorial first illustrates how a priori knowledge, which is available from previous experiments, can be translated into prior distributions from a specific class. These prior distributions have the advantage of yielding analytical, closed form results, thus avoiding the need to apply numerical methods such as Markov Chain Monte Carlo. Secondly, formulas for the posterior results are given, explained and illustrated, and software implementations are provided. In the third step, Bayesian tools are used to assess the assumptions behind the suggested approach. These three steps (prior elicitation, posterior calculation, and robustness to prior uncertainty and model adequacy) are critical to Bayesian inference. The general guidance given here for Normal linear regression tasks is accompanied by a simple, but real-world, metrological example. The calibration of a flow device serves as a running example and illustrates the three steps. It is shown that prior knowledge from previous calibrations of the same sonic nozzle enables robust predictions even for extrapolations.
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 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....
Qualitative methodology in developmental psychology
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...
American Psychologists and Psychology Abroad.
Sexton, Virginia Staudt; Misiak, Henryk
1984-01-01
Describes the roots and consequences of the isolationism of American psychology. Argues that, as undergraduates, American psychology students should be enabled to develop a world view through exposure to foreign research and practices. Suggests means of implementing such exposure. (KH)
African Journals Online: Psychology & Psychiatry
Items 1 - 16 of 16 ... ... behaviour, relationship in the family, workplace, schools and organisations. ... education, health, religion, business, tourism, counselling and psychology. ... International Journal of Emotional Psychology and Sport Ethics.
无
2007-01-01
Detecting plant health conditions plays a key role in farm pest management and crop protection. In this study,measurement of hyperspectral leaf reflectance in rice crop (Oryzasativa L.) was conducted on groups of healthy and infected leaves by the fungus Bipolaris oryzae (Helminthosporium oryzae Breda. de Hann) through the wavelength range from 350 to 2 500 nm. The percentage of leaf surface lesions was estimated and defined as the disease severity. Statistical methods like multiple stepwise regression, principal component analysis and partial least-square regression were utilized to calculate and estimate the disease severity of rice brown spot at the leaf level. Our results revealed that multiple stepwise linear regressions could efficiently estimate disease severity with three wavebands in seven steps. The root mean square errors (RMSEs) for training (n=210) and testing (n=53) dataset were 6.5% and 5.8%, respectively. Principal component analysis showed that the first principal component could explain approximately 80% of the variance of the original hyperspectral reflectance. The regression model with the first two principal components predicted a disease severity with RMSEs of 16.3% and 13.9% for the training and testing dataset, respectively. Partial least-square regression with seven extracted factors could most effectively predict disease severity compared with other statistical methods with RMSEs of 4.1% and 2.0% for the training and testing dataset, respectively. Our research demonstrates that it is feasible to estimate the disease severity office brown spot using hyperspectral reflectance data at the leaf level.
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.
Multicollinearity in cross-sectional regressions
Lauridsen, Jørgen; Mur, Jesùs
2006-10-01
The paper examines robustness of results from cross-sectional regression paying attention to the impact of multicollinearity. It is well known that the reliability of estimators (least-squares or maximum-likelihood) gets worse as the linear relationships between the regressors become more acute. We resolve the discussion in a spatial context, looking closely into the behaviour shown, under several unfavourable conditions, by the most outstanding misspecification tests when collinear variables are added to the regression. A Monte Carlo simulation is performed. The conclusions point to the fact that these statistics react in different ways to the problems posed.
Federico A. Sturzeneger
1992-03-01
Full Text Available Currency Substitution and the Regressivity of Inflationary Taxation The purpose of this paper is to show that in the presence of financial adaptation or currency substitution. the inflation tax is extremely regressive. This regressivity arises from the existence of a fixed cost of switching to inflation-proof transactions technologies. This fixed cost makes it optimal only for those agents with sufficiently high incomes to switch out of domestic currency. The effects are illustrated and quantified for a particular case.
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.
Health psychology: status and trends.
Blancarte, A L; Murphy, K J; Reilley, R R
1991-08-01
This study investigated the present status and suggested trends in health psychology as reported by American Psychological Association Division 38 (Health Psychology) members. A 25-item mail-in survey was developed to obtain these data from a randomly selected sample of 300. Information includes a demographic description of the respondents, their selection of influential books, journals, and individuals, and their opinions regarding the current status and desirable future trends in the field of health psychology.
Psychological distress of female caregivers of significant others with cancer
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.
HISTORY AND NATURE OF DEVELOPMENTAL PSYCHOLOGY
HUGO ESCOBAR MELO
2003-01-01
Full Text Available The main intention of this document is to outstand a view of the Evolutive Psychology as an area ofspecific knowledge the approaches the course of changes and progress the construction of diversepsychological process thought life. The text identifies the classical historical antecedents of the currentEvolutive Psychology, its great landmarks and discusses some views about “evolution” and proposesa theoretical reflection from the disciplinary intersection perspective.Proposes that Evolutive Psychology shows ruptures and transformations in terms of a Overcomingthe image of the child as an adult in miniature. b Children, an organism that gets adapted and evolves.c The evolution of the child, the adolescent and the adult are different subjects d The subject as logicalthinker and scientific natural placed in the intersubjectivity e Identification and characterization ofunsuspected neonative competitions analogies homologies and improving rationality f Study of theinevitable transitions for aging and death. Discuses some current debates in the context of a conceptionof evolution that shows transformations, ruptures, regressions and reorganizations with progressionsthat do not establish lineal connections between the initial points with the final ones.
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
POSITIVE PSYCHOLOGY: THE SCIENCE AND PRACTICE OF PSYCHOLOGY?
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.
Educational Psychology: The Distinctive Contribution
Cameron, R. J.
2006-01-01
This paper, written in the twenty-first anniversary year of the journal "Educational Psychology in Practice", attempts to uncover those distinctive aspects of the discipline and the practice of applied psychology in general and educational psychology in particular. After considering some of the reasons for attempting this task at this point in…
Social Justice and School Psychology
Nastasi, Bonnie K.
2008-01-01
Despite attention in other social sciences and within other areas of psychology, social justice has received minimal attention in school psychology literature. The two studies by Shriberg et al. (2008) and McCabe and Rubinson (2008) represent significant developments in exploring school psychology's commitment to social justice. In this…
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…
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"…
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…
The Process of Psychological Consultation
Nolan, Anna; Moreland, Neil
2014-01-01
Consultation is a key means of service delivery in many psychological services. However, the "process" of consultation is little explored in Educational Psychology literature, particularly in the United Kingdom (UK). This paper focuses on a small-scale qualitative research study of psychological consultation provided by educational…
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"…
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
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…
A Positive Psychology That Matters
Lopez, Shane L.; Magyar-Moe, Jeana L.
2006-01-01
The Major Contribution intended to situate positive psychology in counseling psychology's past and future and in the complex world we live and work in today. The four reactions (Frazier, Lee,& Steger; Gerstein; Linley; Mollen, Ethington,& Ridley) provide new insights into how counseling psychology has and will contribute to the study of human…
Positive Psychology and Outdoor Education
Berman, Dene S.; Davis-Berman, Jennifer
2005-01-01
A relatively new movement in psychology, positive psychology, has many implications for the field of outdoor education. Positive psychology has the goal of fostering excellence through the understanding and enhancement of factors that lead to growth. It embraces the view that growth occurs when positive factors are present, as opposed to the…
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…
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…
Educational Psychology: The Distinctive Contribution
Cameron, R. J.
2006-01-01
This paper, written in the twenty-first anniversary year of the journal "Educational Psychology in Practice", attempts to uncover those distinctive aspects of the discipline and the practice of applied psychology in general and educational psychology in particular. After considering some of the reasons for attempting this task at this point in…
A Skew-Normal Mixture Regression Model
Liu, Min; Lin, Tsung-I
2014-01-01
A challenge associated with traditional mixture regression models (MRMs), which rest on the assumption of normally distributed errors, is determining the number of unobserved groups. Specifically, even slight deviations from normality can lead to the detection of spurious classes. The current work aims to (a) examine how sensitive the commonly…
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…
The Geometry of Enhancement in Multiple Regression.
Waller, Niels G
2011-10-01
In linear multiple regression, "enhancement" is said to occur when R (2)=b'r>r'r, where b is a p×1 vector of standardized regression coefficients and r is a p×1 vector of correlations between a criterion y and a set of standardized regressors, x. When p=1 then b≡r and enhancement cannot occur. When p=2, for all full-rank R xx≠I, R xx=E[xx']=V Λ V' (where V Λ V' denotes the eigen decomposition of R xx; λ 1>λ 2), the set [Formula: see text] contains four vectors; the set [Formula: see text]; [Formula: see text] contains an infinite number of vectors. When p≥3 (and λ 1>λ 2>⋯>λ p ), both sets contain an uncountably infinite number of vectors. Geometrical arguments demonstrate that B 1 occurs at the intersection of two hyper-ellipsoids in ℝ (p) . Equations are provided for populating the sets B 1 and B 2 and for demonstrating that maximum enhancement occurs when b is collinear with the eigenvector that is associated with λ p (the smallest eigenvalue of the predictor correlation matrix). These equations are used to illustrate the logic and the underlying geometry of enhancement in population, multiple-regression models. R code for simulating population regression models that exhibit enhancement of any degree and any number of predictors is included in Appendices A and B.
Regression Segmentation for M³ Spinal Images.
Wang, Zhijie; Zhen, Xiantong; Tay, KengYeow; Osman, Said; Romano, Walter; Li, Shuo
2015-08-01
Clinical routine often requires to analyze spinal images of multiple anatomic structures in multiple anatomic planes from multiple imaging modalities (M(3)). Unfortunately, existing methods for segmenting spinal images are still limited to one specific structure, in one specific plane or from one specific modality (S(3)). In this paper, we propose a novel approach, Regression Segmentation, that is for the first time able to segment M(3) spinal images in one single unified framework. This approach formulates the segmentation task innovatively as a boundary regression problem: modeling a highly nonlinear mapping function from substantially diverse M(3) images directly to desired object boundaries. Leveraging the advancement of sparse kernel machines, regression segmentation is fulfilled by a multi-dimensional support vector regressor (MSVR) which operates in an implicit, high dimensional feature space where M(3) diversity and specificity can be systematically categorized, extracted, and handled. The proposed regression segmentation approach was thoroughly tested on images from 113 clinical subjects including both disc and vertebral structures, in both sagittal and axial planes, and from both MRI and CT modalities. The overall result reaches a high dice similarity index (DSI) 0.912 and a low boundary distance (BD) 0.928 mm. With our unified and expendable framework, an efficient clinical tool for M(3) spinal image segmentation can be easily achieved, and will substantially benefit the diagnosis and treatment of spinal diseases.
A Spline Regression Model for Latent Variables
Harring, Jeffrey R.
2014-01-01
Spline (or piecewise) regression models have been used in the past to account for patterns in observed data that exhibit distinct phases. The changepoint or knot marking the shift from one phase to the other, in many applications, is an unknown parameter to be estimated. As an extension of this framework, this research considers modeling the…
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.
Selecting a Regression Saturated by Indicators
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...
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.
Nonparametric regression with martingale increment errors
Delattre, Sylvain
2010-01-01
We consider the problem of adaptive estimation of the regression function in a framework where we replace ergodicity assumptions (such as independence or mixing) by another structural assumption on the model. Namely, we propose adaptive upper bounds for kernel estimators with data-driven bandwidth (Lepski's selection rule) in a regression model where the noise is an increment of martingale. It includes, as very particular cases, the usual i.i.d. regression and auto-regressive models. The cornerstone tool for this study is a new result for self-normalized martingales, called ``stability'', which is of independent interest. In a first part, we only use the martingale increment structure of the noise. We give an adaptive upper bound using a random rate, that involves the occupation time near the estimation point. Thanks to this approach, the theoretical study of the statistical procedure is disconnected from usual ergodicity properties like mixing. Then, in a second part, we make a link with the usual minimax th...
Finite Algorithms for Robust Linear Regression
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...
Finite Algorithms for Robust Linear Regression
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...
Modeling confounding by half-sibling regression
Schölkopf, Bernhard; Hogg, David W; Wang, Dun
2016-01-01
We describe a method for removing the effect of confounders to reconstruct a latent quantity of interest. The method, referred to as "half-sibling regression," is inspired by recent work in causal inference using additive noise models. We provide a theoretical justification, discussing both...
Selecting a Regression Saturated by Indicators
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...
Structural Break Tests Robust to Regression Misspecification
Abi Morshed, Alaa; Andreou, E.; Boldea, Otilia
2016-01-01
Structural break tests developed in the literature 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
Panel data specifications in nonparametric kernel regression
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...
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…
Genetic Programming Transforms in Linear Regression Situations
Castillo, Flor; Kordon, Arthur; Villa, Carlos
The chapter summarizes the use of Genetic Programming (GP) inMultiple Linear Regression (MLR) to address multicollinearity and Lack of Fit (LOF). The basis of the proposed method is applying appropriate input transforms (model respecification) that deal with these issues while preserving the information content of the original variables. The transforms are selected from symbolic regression models with optimal trade-off between accuracy of prediction and expressional complexity, generated by multiobjective Pareto-front GP. The chapter includes a comparative study of the GP-generated transforms with Ridge Regression, a variant of ordinary Multiple Linear Regression, which has been a useful and commonly employed approach for reducing multicollinearity. The advantages of GP-generated model respecification are clearly defined and demonstrated. Some recommendations for transforms selection are given as well. The application benefits of the proposed approach are illustrated with a real industrial application in one of the broadest empirical modeling areas in manufacturing - robust inferential sensors. The chapter contributes to increasing the awareness of the potential of GP in statistical model building by MLR.
Macroeconomic Forecasting Using Penalized Regression Methods
Smeekes, Stephan; Wijler, Etiënne
2016-01-01
We study the suitability of lasso-type penalized regression techniques when applied to macroeconomic forecasting with high-dimensional datasets. We consider performance of the lasso-type methods when the true DGP is a factor model, contradicting the sparsity assumption underlying penalized regressio
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).…
Prediction of dynamical systems by symbolic regression
Quade, Markus; Abel, Markus; Shafi, Kamran; Niven, Robert K.; Noack, Bernd R.
2016-07-01
We study the modeling and prediction of dynamical systems based on conventional models derived from measurements. Such algorithms are highly desirable in situations where the underlying dynamics are hard to model from physical principles or simplified models need to be found. We focus on symbolic regression methods as a part of machine learning. These algorithms are capable of learning an analytically tractable model from data, a highly valuable property. Symbolic regression methods can be considered as generalized regression methods. We investigate two particular algorithms, the so-called fast function extraction which is a generalized linear regression algorithm, and genetic programming which is a very general method. Both are able to combine functions in a certain way such that a good model for the prediction of the temporal evolution of a dynamical system can be identified. We illustrate the algorithms by finding a prediction for the evolution of a harmonic oscillator based on measurements, by detecting an arriving front in an excitable system, and as a real-world application, the prediction of solar power production based on energy production observations at a given site together with the weather forecast.
Hyams, Adriana V; Wayde, Ernest N; Crowther, Martha R; Scogin, Forrest R
Greater social support is associated with decreased psychological distress among older adults. Researchers have found racial differences in psychological distress. Might race moderate social support and psychological distress? The authors hypothesized African American collectivistic values could increase the importance of social support. Participants were rural adults aged 60 and older (N = 100). Multiple regression analyses controlled for health, income, education, and sex. Race moderated satisfaction with social support and psychological distress. However, greater satisfaction predicted less psychological distress among Caucasians while it was not associated with African Americans' distress in this sample. Achieving satisfaction with social support may be particularly important for Caucasians receiving therapy. Interventions may also address strategies to improve physical health, emotional support, and quality of social support, which significantly predicted psychological distress for both groups.
Ai, Hongshan; Hu, Junmin
2016-06-01
This study examined the moderator effect of psychological resilience on the relationship between social support and loneliness of the "left-behind" children. A total of 200 left-behind girls and 214 left-behind boys completed the measures of psychological resilience, social support, and loneliness. Hierarchical regression analysis showed that psychological resilience moderated the association between social support and loneliness. When left-behind children reported a low level of psychological resilience, those with high social support reported lower scores in loneliness than those with low social support. However, the impact of social support on loneliness was much smaller in the high psychological resilience group, compared with that in low psychological resilience group. © The Author(s) 2014.
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…
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.
Brinkmann, Svend
of morality • Confronts the “naturalistic fallacy” in contemporary psychology. • Explains why moral science need not be separated from social science. • Addresses challenges and critiques to the author’s work from both formalist and relativist theories of morality. With its bold call to reason, Psychology......, 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...
Verstegen, I
2000-01-01
Graz gestalt psychology was introduced into Italy after World War I with Vittorio Benussi's emigration to Padua. His earliest adherent, Cesare Musatti, defended Graz theory, but after Benussi's premature death became an adherent of the Berlin gestalt psychology of Wertheimer-Köhler-Koffka. He trained his two most important students, Fabio Metelli and Gaetano Kanizsa, in orthodox Berlin theory. They established rigid "schools" in Padua and Trieste. The structure of Italian academics allowed for such strict orthodoxy, quite unlike the situation in America, where scientific objectivity mitigated against schools. In the 1960s, some of the students of Metelli and Kanizsa (above all Bozzi) initiated a realist movement-felt in Kanizsa's late work-that was quite independent of that of J. J. Gibson. Finally, more recently, Benussi and Graz theorizing have been embraced again, sentimentally, as a predecedent to Kanizsa-Bozzi.
Normality in analytical psychology.
Myers, Steve
2013-12-01
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.
Loneliness and psychological distress.
Jackson, J; Cochran, S D
1991-05-01
Research on relationships between loneliness and psychological symptoms has generally shown significant positive associations across a wide spectrum of psychopathologies. However, such results may be artificial, to some extent, given the high intercorrelations of typical psychopathology measures. In the current study, we examined associations between psychological symptoms, assessed by the Symptom Check List-90 (SCL-90; Derogatis, Lipman, & Covi, 1973) and loneliness, as measured by the UCLA-R Loneliness Scale (Russell, Peplau, & Cutrona, 1980), in college students. Using partial correlations to control for the confounding influence of generalized distress, relationships between loneliness and individual dimensions of distress were examined. Results indicate a significant association between loneliness and interpersonal sensitivity (low self-esteem) and depression. Other dimensions of distress were not significantly related to loneliness. In addition, no sex differences in patterns of association were observed. Results support the notion that self-blame and self-devaluation are strong correlates of loneliness.
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.
A Social Psychological Perspective:
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...... institutionalised individualism and interconnectedness. The focus is on the vertical and horizontal relationships within the socio-cultural psychological framework combining positioning theory with the life course perspectives. Moreover there is focus on the diaspora processes for the South Asian young adults....... The paper analyses the discourses of intergenerational care as they intersect with everyday life practices and psychological realities of persons. The results indicate changes in the care pattern and deals with the dilemmas of solidarity, which are in contrast to dominant discourses of generations...
Reasoning, logic, and psychology.
Stenning, Keith; van Lambalgen, Michiel
2011-09-01
We argue that reasoning has been conceptualized so narrowly in what is known as 'psychology of reasoning' that reasoning's relevance to cognitive science has become well-nigh invisible. Reasoning is identified with determining whether a conclusion follows validly from given premises, where 'valid' is taken to mean 'valid according to classical logic'. We show that there are other ways to conceptualize reasoning, more in line with current logical theorizing, which give it a role in psychological processes ranging from (verbal) discourse comprehension to (nonverbal) planning. En route we show that formal logic, at present marginalized in cognitive science, can be an extremely valuable modeling tool. In particular, there are cases in which probabilistic modeling must fail, whereas logical models do well. WIREs Cogni Sci 2011 2 555-567 DOI: 10.1002/wcs.134 For further resources related to this article, please visit the WIREs website.
A Social Psychological Perspective:
Singla, Rashmi; Westerling, Allan
2008-01-01
This paper investigates intergenerational care in family life in Denmark. It compares different patterns of care between three groups of families: 1) Monoethnic Danish Families (n=701), 2) Monoethnic South Asian Families (n =5) and 3) Multiethnic Families (n=15). Through the use of network analys...... 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......This paper investigates intergenerational care in family life in Denmark. It compares different patterns of care between three groups of families: 1) Monoethnic Danish Families (n=701), 2) Monoethnic South Asian Families (n =5) and 3) Multiethnic Families (n=15). Through the use of network analysis...... institutionalised individualism and interconnectedness. The focus is on the vertical and horizontal relationships within the socio-cultural psychological framework combining positioning theory with the life course perspectives. Moreover there is focus on the diaspora processes for the South Asian young adults...
Work-family enrichment and psychological health
Ameeta Jaga
2013-03-01
Full Text Available Orientation: This study examines the beneficial aspects of the interface between work and family and its relationships with psychological health from a positive psychology perspective.Research purpose: The objective of this study was to investigate whether work-family enrichment helps to predict psychological health, specifically increased subjective well-being and decreased feelings of emotional exhaustion and depression.Motivation for the study: The burgeoning literature on the work-family interface contains little on the potentially positive benefits of maintaining work and family roles.Research approach, design and method: The authors used a descriptive research design. Employees in two national organisations in the financial retail and logistics industries completed a self-administered survey questionnaire. The authors analysed responses from those who reported both family and work responsibilities (N = 160.Main findings: Consistent with previous research, factor analysis revealed two distinct directions of work-family enrichment: from work to family (W2FE and from family to work (F2WE. Multiple regression analysis showed that F2WE explained a significant proportion of the variance in subjective wellbeing, whilst W2FE explained a significant proportion of the variance in depression and emotional exhaustion.Practical/managerial implications: The findings of this study revealed the individual and organisational benefits of fostering work-family enrichment. Contributions/value add: This study presents empirical evidence for the need to focus on the positive aspects of the work-family interface, provides further support for a positive organisational psychology perspective in organisations and hopefully will encourage further research on interventions in organisations and families.
2007-12-14
1969) theory of the “conflict of generations,” which is based on a Freudian interpretation of terrorism as a psychological reaction of sons against...still rooted in psychodynamic theory (with less emphasis on stricter Freudians notions). -In a helpful review, Silke (1998) argued that ‘most serious...of social issues. This work is based on social language theory , on the behavioral analysis of cognition and language, on rule-government behavior
Military Psychology for Africa
Van Heerden, Adelaide
2016-12-01
Full Text Available in trauma therapy is highlighted. 181 Chapter 8 follows on the previous chapter, as Loubsher emphasises the body in the context of trauma, providing the reader with insight into the importance of instinctual bodily responses to the process of healing... influence on the effectiveness of the military as well as the psychological consequences of the disease on factors like combat readiness. An explanation of African traditional approaches to healing provides valuable insight into how African individuals...
Qualitative experiments in psychology
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...... and extensions" of BARTLETT's experiments, demonstrating how his methodology was progressively changed and misunderstood over time. An argument is made for re-introducing an open, qualitative and idiographic experimental method similar to the one BARTLETT practiced....
Cultural Psychology and Its Future
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...... Psychology series aims to highlight and develop new ideas that advance our understanding of these issues. This first volume in the series features an address by Prof. Jaan Valsiner, which is followed by ten commentary chapters and his response to them. In his lecture, Valsiner explores what Niels Bohr......’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...
Cultural Psychology and Its Future
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...... Psychology series aims to highlight and develop new ideas that advance our understanding of these issues. This first volume in the series features an address by Prof. Jaan Valsiner, which is followed by ten commentary chapters and his response to them. In his lecture, Valsiner explores what Niels Bohr......’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...
Teacher training through the Regression Model in foreign language education
Jesús García Laborda
2011-01-01
Full Text Available In the last few years, Spain has seen dramatic changes in its educational system. Many of them have been rejected by most teachers after their implementation (LOGSE while others have found potential drawbacks even before starting operating (LOCE, LOE. To face these changes, schools need well qualified instructors. Given this need, and also considering that, although all the schools want the best teachers but, as teachers’ salaries are regulated by the state, few schools can actually offer incentives to their teachers and consequently schools never have the instructors they wish. Apart from this, state schools have a fixed salary for their teachers and private institutions offer no additional bonuses for things like additional training or diplomas (for example, masters or post-degree courses and, therefore, teachers are rarely interested in pursuing any further studies in methodology or any other related fields such as education or applied linguistics. Although many teachers acknowledge their love to teaching, the current situation in schools (school violence, bad salaries, depression, social desprestige, legal changes and so has made the teaching job one of the most complicated and undevoted in Spain. It is not unusual to have a couple of instructors ill due to depression and other psychological sicknesses. This paper deals with the development and implementation of a training program based on regressive visualizations of one’s experience both as a teacher as well as a learner.
Progression and regression of the atherosclerotic plaque.
de Feyter, P J; Vos, J; Deckers, J W
1995-08-01
In animals in which atherosclerosis was induced experimentally (by a high cholesterol diet) regression of the atherosclerotic lesion was demonstrated after serum cholesterol was reduced by cholesterol- lowering drugs or a low-fat diet. Whether regression of advanced coronary arterly lesions also takes place in humans after a similar intervention remains conjectural. However, several randomized studies, primarily employing lipid-lowering intervention or comprehensive changes in lifestyle, have demonstrated, using serial angiograms, that it is possible to achieve less progression, arrest or even (small) regression of atherosclerotic lesions. The lipid-lowering trials (NHBLI, CLAS, POSCH, FATS, SCOR and STARS) studied 1240 symptomatic patients, mostly men, with moderately elevated cholesterol levels and moderately severe angiographic-proven coronary artery disease. A variety of lipid-lowering drugs, in addition to a diet, were used over an intervention period ranging from 2 to 3 years. In all but one study (NHBLI), the progression of coronary atherosclerosis was less in the treated group, but regression was induced in only a few patients. The overall relative risk of progression of coronary atherosclerosis was 0 x 62 and 2 x 13, respectively. The induced angiographic differences were small and did not produce any significant haemodynamic benefit. The most important result was tht the disease process could be stabilized in the majority of patients. Three comprehensive lifestyle change trials (the Lifestyle Heart study, STARS and the Heidelberg Study) studied 183 patients, who were subjected to stress management, and/or intensive exercise, in addition to a low fat diet, over a period ranging from 1 to 3 years. All three trials demonstrated less progression, and more regression with overall relative risks of 0 x 40 and 2 x 35 respectively, in the intervention groups. Angiographic trials demonstrated that retardation or arrest of coronary atherosclerosis was possible
Psychological strain between nurses
Andrea Obročníková
2015-12-01
Full Text Available Aim: The aim of the study was to identify differences in perception of work (mental workload among nurses providing acute and chronic nursing care. Design: Study design is cross-sectional and descriptive. Methods: The sample of respondents consisted of 97 nurses working in departments Neurology, Anesthesiology and Intensive Care Unit of the hospital St. James in Bardejov, University Hospital of L. Pasteur in Košice and University Hospital J. A. Reiman in Prešov. To measure psychological strain, Meister's questionnaire for neuropsychological strain was used. Results: Increased psychological strain was observed in nurses providing acute care versus nurses providing chronic care, particularly in job satisfaction, long-term tolerance, time constraints, high responsibility, nervousness, fatigue and satiety. In comparison with the population norm, nurses in acute care achieved significantly higher indicators of factor I (strain and gross score as nurses in neurological care. A statistically significant relationship between psychological stress and age of nurses working in anesthesiology and intensive care departments was confirmed. Nurses with long term practical experience are exposed to intense mental stress (especially in the areas of strain and monotony. Conclusion: The results of our study suggest the reality that variable qualities of work related strain among nurses can lead to physical and emotional exhaustion.
Psychology's epistemological identity
Matej Černigoj
2003-09-01
Full Text Available The aim of the article is first to present three different, mutually irreducible approaches to the study of human psyche, and then to offer a conceptual model that allows their meaningful integration. I begin the article with the common knowledge about three main determinants of human behavior: genetic inheritance, social environment, and one's own activity, which I then link with Stevens' (1998 conceptualization of three appropriate epistemologies in psychology. Nomothetic epistemology is adequate for the study of behavior rooted in our biological dispositions, hermeneutic epistemology for the study of behavior founded on symbolic meanings, and transformative epistemology for the study of behavior steaming from our capacity for reflexive awareness. I then interrelate these epistemologies using Gergen's (1973 idea about the continuum of temporal stability of events supplemented with the dimension of the abstractness of their treatment. I presuppose that nomothetic treatment of temporally less stable events demands a higher level of abstraction and vice versa. This is very important for psychology, because it acknowledges the possibility of psychology being a nomothetic science, but at the same time warns for the necessity of complementing its findings with the interpretive and phenomenological realizations.
Evolutionary developmental psychology.
King, Ashley C; Bjorklund, David F
2010-02-01
The field of evolutionary developmental psychology can potentially broaden the horizons of mainstream evolutionary psychology by combining the principles of Darwinian evolution by natural selection with the study of human development, focusing on the epigenetic effects that occur between humans and their environment in a way that attempts to explain how evolved psychological mechanisms become expressed in the phenotypes of adults. An evolutionary developmental perspective includes an appreciation of comparative research and we, among others, argue that contrasting the cognition of humans with that of nonhuman primates can provide a framework with which to understand how human cognitive abilities and intelligence evolved. Furthermore, we argue that several aspects of childhood (e.g., play and immature cognition) serve both as deferred adaptations as well as imparting immediate benefits. Intense selection pressure was surely exerted on childhood over human evolutionary history and, as a result, neglecting to consider the early developmental period of children when studying their later adulthood produces an incomplete picture of the evolved adaptations expressed through human behavior and cognition.
Nigel Foreman
2009-01-01
Full Text Available 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 interface flexibility, the reproducibility of virtual experience, and the opportunity for on-line monitoring of performance. Applications of VEs are many and varied, but are especially beneficial where experience can be tailored via augmentation, and where dangerous training situations can be avoided. The use of programmable agents has great future potential in relation to training and interpersonal skill development, also perhaps in clinical diagnosis and therapy. Progress in VE usage in psychological education is limited by cost and availability, though VEs are being used increasingly in classroom and laboratory teaching exercises. Virtual Reality was said to be “an answer waiting for a question”, but questions are being recognized, so that applications of VEs within the behavioural sciences are likely to multiply.
Logistic regression when binary predictor variables are highly correlated.
Barker, L; Brown, C
Standard logistic regression can produce estimates having large mean square error when predictor variables are multicollinear. Ridge regression and principal components regression can reduce the impact of multicollinearity in ordinary least squares regression. Generalizations of these, applicable in the logistic regression framework, are alternatives to standard logistic regression. It is shown that estimates obtained via ridge and principal components logistic regression can have smaller mean square error than estimates obtained through standard logistic regression. Recommendations for choosing among standard, ridge and principal components logistic regression are developed. Published in 2001 by John Wiley & Sons, Ltd.
Conservation Psychology: A Gap in Current Australian Undergraduate Psychology Education?
Elissa Pearson
2013-03-01
Full Text Available Human actions have contributed to numerous environmental challenges, including climate change and a significant loss of the world’s biodiversity. As the scientific study of human thought and behaviour, psychology has much to offer in better understanding these issues, as well as fostering greater sustainability in human actions. Yet, despite this recognition, and increasing calls from leaders in psychology education to produce graduates capable of applying their disciplinary knowledge to such real-world issues to solve worldwide behaviourally-based problems; this may not be adequately addressed in current psychology training. The present study assessed the content of all APAC (Australian Psychology Accreditation Council approved psychology programs within Australia to determine the proportion which offered a psychology-focused course (unit specifically in conservation or sustainability. Based on the data advertised through each university website, it appears that only one of 39 programs currently offers such a course, with one other university implementing a conservation psychology course in 2013. Thus 95% of current APAC-accredited programs in Australia do not have a strong focus on training psychology graduates to contribute to addressing these important issues. The need for greater integration of conservation psychology content into undergraduate psychology education in Australia and beyond is discussed.
Model selection in kernel ridge regression
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...
Online support vector regression for reinforcement learning
Yu Zhenhua; Cai Yuanli
2007-01-01
The goal in reinforcement learning is to learn the value of state-action pair in order to maximize the total reward. For continuous states and actions in the real world, the representation of value functions is critical. Furthermore, the samples in value functions are sequentially obtained. Therefore, an online support vector regression (OSVR) is set up, which is a function approximator to estimate value functions in reinforcement learning. OSVR updates the regression function by analyzing the possible variation of support vector sets after new samples are inserted to the training set. To evaluate the OSVR learning ability, it is applied to the mountain-car task. The simulation results indicate that the OSVR has a preferable convergence speed and can solve continuous problems that are infeasible using lookup table.
Constrained regression models for optimization and forecasting
P.J.S. Bruwer
2003-12-01
Full Text Available Linear regression models and the interpretation of such models are investigated. In practice problems often arise with the interpretation and use of a given regression model in spite of the fact that researchers may be quite "satisfied" with the model. In this article methods are proposed which overcome these problems. This is achieved by constructing a model where the "area of experience" of the researcher is taken into account. This area of experience is represented as a convex hull of available data points. With the aid of a linear programming model it is shown how conclusions can be formed in a practical way regarding aspects such as optimal levels of decision variables and forecasting.
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.
Multiple Kernel Spectral Regression for Dimensionality Reduction
Bing Liu
2013-01-01
Full Text Available Traditional manifold learning algorithms, such as locally linear embedding, Isomap, and Laplacian eigenmap, only provide the embedding results of the training samples. To solve the out-of-sample extension problem, spectral regression (SR solves the problem of learning an embedding function by establishing a regression framework, which can avoid eigen-decomposition of dense matrices. Motivated by the effectiveness of SR, we incorporate multiple kernel learning (MKL into SR for dimensionality reduction. The proposed approach (termed MKL-SR seeks an embedding function in the Reproducing Kernel Hilbert Space (RKHS induced by the multiple base kernels. An MKL-SR algorithm is proposed to improve the performance of kernel-based SR (KSR further. Furthermore, the proposed MKL-SR algorithm can be performed in the supervised, unsupervised, and semi-supervised situation. Experimental results on supervised classification and semi-supervised classification demonstrate the effectiveness and efficiency of our algorithm.
A Gibbs Sampler for Multivariate Linear Regression
Mantz, Adam B
2015-01-01
Kelly (2007, hereafter K07) described an efficient algorithm, using Gibbs sampling, for performing linear regression in the fairly general case where non-zero measurement errors exist for both the covariates and response variables, where these measurements may be correlated (for the same data point), where the response variable is affected by intrinsic scatter in addition to measurement error, and where the prior distribution of covariates is modeled by a flexible mixture of Gaussians rather than assumed to be uniform. Here I extend the K07 algorithm in two ways. First, the procedure is generalized to the case of multiple response variables. Second, I describe how to model the prior distribution of covariates using a Dirichlet process, which can be thought of as a Gaussian mixture where the number of mixture components is learned from the data. I present an example of multivariate regression using the extended algorithm, namely fitting scaling relations of the gas mass, temperature, and luminosity of dynamica...
Wavelet Scattering Regression of Quantum Chemical Energies
Hirn, Matthew; Poilvert, Nicolas
2016-01-01
We introduce multiscale invariant dictionaries to estimate quantum chemical energies of organic molecules, from training databases. Molecular energies are invariant to isometric atomic displacements, and are Lipschitz continuous to molecular deformations. Similarly to density functional theory (DFT), the molecule is represented by an electronic density function. A multiscale invariant dictionary is calculated with wavelet scattering invariants. It cascades a first wavelet transform which separates scales, with a second wavelet transform which computes interactions across scales. Sparse scattering regressions give state of the art results over two databases of organic planar molecules. On these databases, the regression error is of the order of the error produced by DFT codes, but at a fraction of the computational cost.
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.
Nonexistence in Reciprocal and Logarithmic Regression
Josef Bukac
2003-01-01
Fitting logarithmic b ln(clx), a+bln(c+x) or reciprocal b/(c+x), a+b/(c+x) regression models to data by the least squares method asks for the determination of the closure of the set of each type of these functions defined on a finite domain. It follows that a minimal solution may not exist. But it does exist when the closure is considered.
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.
Curvatures for Parameter Subsets in Nonlinear Regression
1986-01-01
The relative curvature measures of nonlinearity proposed by Bates and Watts (1980) are extended to an arbitrary subset of the parameters in a normal, nonlinear regression model. In particular, the subset curvatures proposed indicate the validity of linearization-based approximate confidence intervals for single parameters. The derivation produces the original Bates-Watts measures directly from the likelihood function. When the intrinsic curvature is negligible, the Bates-Watts parameter-effec...
Realization of Ridge Regression in MATLAB
Dimitrov, S.; Kovacheva, S.; Prodanova, K.
2008-10-01
The least square estimator (LSE) of the coefficients in the classical linear regression models is unbiased. In the case of multicollinearity of the vectors of design matrix, LSE has very big variance, i.e., the estimator is unstable. A more stable estimator (but biased) can be constructed using ridge-estimator (RE). In this paper the basic methods of obtaining of Ridge-estimators and numerical procedures of its realization in MATLAB are considered. An application to Pharmacokinetics problem is considered.
Resilience is associated with low psychological distress in renal transplant recipients.
Tian, Xiaohong; Gao, Qingling; Li, Guopeng; Zou, Guiyuan; Liu, Chunqin; Kong, Linghua; Li, Ping
2016-01-01
Renal transplantation (RT) is a significant life event; its subsequent challenges often lead to psychological distress, which substantially lowers patients' quality of life. The purpose of this study was to screen psychological distress and examine the relationships between resilience and psychological distress in RT recipients. Participants were 139 RT recipients from the RT follow-up clinic and ward in the departments of nephrology of three general hospitals in Jinan, China. They were assessed using the Connor-Davidson Resilience Scale, Perceived Social Support Scale and Kessler Psychological Distress Scale. Logistic regression analyses were used to evaluate the relationships between resilience and psychological distress after adjusting for perceived social support. Fifty-nine (42.4%) RT recipients were considered as experiencing "psychological distress" (K10 score ≥ 22). Resilience was associated with psychological distress after controlling for perceived social support and sociodemographic variables: a one-point increase in resilience decreased the likelihood of having possible psychological distress (odds ratio=0.945, 95% confidence interval=0.914-0.976, Presilience was significantly associated with low psychological distress in RT recipients. Psychosocial interventions focused on resilience might provide useful approaches to overcome psychological distress in RT recipients. Copyright © 2016 Elsevier Inc. All rights reserved.
Bayesian Inference of a Multivariate Regression Model
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.
Leukemia prediction using sparse logistic regression.
Tapio Manninen
Full Text Available We describe a supervised prediction method for diagnosis of acute myeloid leukemia (AML from patient samples based on flow cytometry measurements. We use a data driven approach with machine learning methods to train a computational model that takes in flow cytometry measurements from a single patient and gives a confidence score of the patient being AML-positive. Our solution is based on an [Formula: see text] regularized logistic regression model that aggregates AML test statistics calculated from individual test tubes with different cell populations and fluorescent markers. The model construction is entirely data driven and no prior biological knowledge is used. The described solution scored a 100% classification accuracy in the DREAM6/FlowCAP2 Molecular Classification of Acute Myeloid Leukaemia Challenge against a golden standard consisting of 20 AML-positive and 160 healthy patients. Here we perform a more extensive validation of the prediction model performance and further improve and simplify our original method showing that statistically equal results can be obtained by using simple average marker intensities as features in the logistic regression model. In addition to the logistic regression based model, we also present other classification models and compare their performance quantitatively. The key benefit in our prediction method compared to other solutions with similar performance is that our model only uses a small fraction of the flow cytometry measurements making our solution highly economical.
Outlier Detection Using Nonconvex Penalized Regression
She, Yiyuan
2010-01-01
This paper studies the outlier detection problem from the point of view of penalized regressions. Our regression model adds one mean shift parameter for each of the $n$ data points. We then apply a regularization favoring a sparse vector of mean shift parameters. The usual $L_1$ penalty yields a convex criterion, but we find that it fails to deliver a robust estimator. The $L_1$ penalty corresponds to soft thresholding. We introduce a thresholding (denoted by $\\Theta$) based iterative procedure for outlier detection ($\\Theta$-IPOD). A version based on hard thresholding correctly identifies outliers on some hard test problems. We find that $\\Theta$-IPOD is much faster than iteratively reweighted least squares for large data because each iteration costs at most $O(np)$ (and sometimes much less) avoiding an $O(np^2)$ least squares estimate. We describe the connection between $\\Theta$-IPOD and $M$-estimators. Our proposed method has one tuning parameter with which to both identify outliers and estimate regression...
General regression and representation model for classification.
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.
A Dirty Model for Multiple Sparse Regression
Jalali, Ali; Sanghavi, Sujay
2011-01-01
Sparse linear regression -- finding an unknown vector from linear measurements -- is now known to be possible with fewer samples than variables, via methods like the LASSO. We consider the multiple sparse linear regression problem, where several related vectors -- with partially shared support sets -- have to be recovered. A natural question in this setting is whether one can use the sharing to further decrease the overall number of samples required. A line of recent research has studied the use of \\ell_1/\\ell_q norm block-regularizations with q>1 for such problems; however these could actually perform worse in sample complexity -- vis a vis solving each problem separately ignoring sharing -- depending on the level of sharing. We present a new method for multiple sparse linear regression that can leverage support and parameter overlap when it exists, but not pay a penalty when it does not. A very simple idea: we decompose the parameters into two components and regularize these differently. We show both theore...
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.
Peer Pressure, Psychological Distress and the Urge to Smoke
Tzu-I Tsai
2009-06-01
Full Text Available Background: 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. Methods: 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. Results: 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 educations (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. Conclusions: 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.
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.
Polat, Esra; Gunay, Suleyman
2013-10-01
One of the problems encountered in Multiple Linear Regression (MLR) is multicollinearity, which causes the overestimation of the regression parameters and increase of the variance of these parameters. Hence, in case of multicollinearity presents, biased estimation procedures such as classical Principal Component Regression (CPCR) and Partial Least Squares Regression (PLSR) are then performed. SIMPLS algorithm is the leading PLSR algorithm because of its speed, efficiency and results are easier to interpret. However, both of the CPCR and SIMPLS yield very unreliable results when the data set contains outlying observations. Therefore, Hubert and Vanden Branden (2003) have been presented a robust PCR (RPCR) method and a robust PLSR (RPLSR) method called RSIMPLS. In RPCR, firstly, a robust Principal Component Analysis (PCA) method for high-dimensional data on the independent variables is applied, then, the dependent variables are regressed on the scores using a robust regression method. RSIMPLS has been constructed from a robust covariance matrix for high-dimensional data and robust linear regression. The purpose of this study is to show the usage of RPCR and RSIMPLS methods on an econometric data set, hence, making a comparison of two methods on an inflation model of Turkey. The considered methods have been compared in terms of predictive ability and goodness of fit by using a robust Root Mean Squared Error of Cross-validation (R-RMSECV), a robust R2 value and Robust Component Selection (RCS) statistic.
Edson do Nascimento Bezerra
2014-04-01
Full Text Available The School Psychology Emergency Practices differs from others School Psychology practices, is more than type of psychology service and should have more institutional visibility. This paper reflects on these references from both the practice of the author and the currently literature in school psychology. To this purpose, we use as reference the concept of Extended Clinic and its relation with Psychology Emergency Service area. We discuss the opportunity of the school psychologist has, among other things, to be able to listen and to welcome spontaneously anyone in the school community seeking for support in case of emergency. In so doing, the author reflects on the condition of psychological emergency service as service and as a type of treatment at school, and school psychology as an area of expertise inserted in this complex environment different of views and perspectives.
Personal determinants of positive states and stress in psychology students
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.
Engaged, committed and helpful employees: the role of psychological empowerment.
Macsinga, Irina; Sulea, Coralia; Sârbescu, Paul; Fischmann, Gabriel; Dumitru, Cătălina
2015-01-01
Although previous research has been focused on the relationship among personality, empowerment, and outcomes, little is known about the incremental effect of empowerment on positive work outcomes. This article aims at exploring the relation between personality factors (i.e., extraversion and conscientiousness) and positive work outcomes (i.e., work engagement, affective organizational commitment, and organizational citizenship behavior), and at determining the incremental effect of psychological empowerment on these outcomes. A convenience sample from three organizations has been used for data collection (N = 258; 52% women, mean age 38.55 years, SD = 10.21). Hierarchical multiple regressions indicate that personality and psychological empowerment explain a significant amount of the variance in the positive organizational outcomes, and that psychological empowerment has a significant incremental value over demographics and personality for the studied outcomes.
Religious orientation and psychological well-being among Spanish undergraduates
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.
The relationship between psychological well-being and empathy quotient
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.
Psychological Determinants of Academic Achievement in Accounting: Evidence from Brazil
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.
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.
Hamid Afshar
2015-09-01
Full Text Available Background: Personality can be defined as the dynamic arrangement of psycho-physical systems. This study was conducted with aim to assess the prevalence of personality traits and their relation with psychological factors in the general population. Methods: The present research was designed as a cross-sectional study. We extracted our data from the framework of the Study on the Epidemiology of Psychological, Alimentary Health, and Nutrition (SEPAHAN, in 2013. Participants (4763 adults were selected from among healthy people in 20 counties across Isfahan Province, Iran, through convenience sampling. Personality traits and psychological factors including depression, anxiety, and psychological distress were assessed using the NEO Five‐Factor Inventory (NEO-FFI, Hospital Anxiety and Depression Scale (HADS, and General Health Questionnaire (GHQ. Binary logistic regression analysis was used to ﬁnd the association among the personality traits and psychological variables. Odds ratios were reported with the corresponding 95% conﬁdence intervals. Results: The mean score ± SD of neuroticism, extraversion, openness, agreeableness, and conscientiousness were 18.72 ± 7.87, 29.03 ± 7.08, 24.04 ± 5.28, 31.05 ± 6.37, and 36.26 ± 7.22, respectively. In depressed and anxious subjects and subjects with high psychological distress, the score of neuroticism was higher, but the scores of other factors were significantly lower (P < 0.05. Through multivariate analysis, high levels of neuroticism and low levels of extraversion and agreeableness were associated with being depressed, anxious, or having significantly high psychological distress. Conclusion: In conclusion, in our population, high levels of neuroticism and low levels of agreeableness and extraversion were associated with being depressed or anxious, or having high psychological distress. Keywords: Personality, Trait, Depression, Anxiety, Stress
Cousins, Jennifer C; Bootzin, Richard R; Stevens, Sally J; Ruiz, Bridget S; Haynes, Patricia L
2007-03-01
The relationships between family environment and psychological distress and between psychological distress and sleep disturbance in adolescents are well established. However, less is known about the influence of family environment on sleep disturbance. The authors' goal is to examine the effects of parental involvement on psychological distress and sleep disturbance in 34 adolescents with a history of substance abuse. Linear regression techniques and confidence intervals were used to test the significance of mediation analyses. Lower levels of parental involvement were associated with higher levels of psychological distress, and higher levels of psychological distress were associated with lower sleep efficiency and more time spent in bed. Follow-up analyses found that higher levels of parental involvement were associated with earlier morning arising times, when controlling for psychological distress. These data indicate that psychological distress is important to consider when examining the relationship between parental involvement and sleep in adolescents.
Gu, Fei; Preacher, Kristopher J; Wu, Wei; Yung, Yiu-Fai
2014-01-01
Although the state space approach for estimating multilevel regression models has been well established for decades in the time series literature, it does not receive much attention from educational and psychological researchers. In this article, we (a) introduce the state space approach for estimating multilevel regression models and (b) extend the state space approach for estimating multilevel factor models. A brief outline of the state space formulation is provided and then state space forms for univariate and multivariate multilevel regression models, and a multilevel confirmatory factor model, are illustrated. The utility of the state space approach is demonstrated with either a simulated or real example for each multilevel model. It is concluded that the results from the state space approach are essentially identical to those from specialized multilevel regression modeling and structural equation modeling software. More importantly, the state space approach offers researchers a computationally more efficient alternative to fit multilevel regression models with a large number of Level 1 units within each Level 2 unit or a large number of observations on each subject in a longitudinal study.
Interpreting parameters in the logistic regression model with random effects
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...
Brinkmann, Svend
meaning, and posits psychology as one of the critical methods of organizing normative values in society; at the same time it carefully notes the discipline’s history of being sidetracked by overemphasis on theoretical constructs and physical causes—what the author terms “the psychologizing of morality......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
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.
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
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.
Johan Janse van Rensburg
2013-02-01
Full Text Available This article investigates the psychological experience of poor people and the pastoral responsibility to guide them towards poverty transition. A qualitative analysis of the narratives of three participants is compared to the enthralling history of Florcy Mabuza who in her book, Poverty mentality: The root of poverty, explains the dangers of a spiritual and emotional mindset that precipitates and feeds the plight of poverty. Using a literature study to interpret the narratives as well as a method of encoding, basic mindsets of poverty and factors that influence this mindset are identified. The study culminates in conclusions to encourage further research and pastoral involvement.
Rank, O
1996-09-01
Otto Rank (1884-1939) wrote the present work at the height of his creative powers, betweenWill Therapy andArt and Artist. Here he presents a sweeping history of psychology-individual and social-from the animistic era to psychoanalysis. An earlier translation (by William D. Turner, 1950) was incomplete and somewhat inaccurate. Unlike Sigmund Freud, his mentor, Rank viewed religion with respect and clarifies its role in individual and communal life through this study of soul-belief through the ages. The book contains important insights on immortality, will, dreams, Judaism and Christianity, Hamlet and Don Juan, Jung and Adler, and Freud himself.
[Foucault's relevance for psychology].
Pastor, Juan
2009-11-01
In this article, we will attempt to address one of the most outstanding and influential thinkers of the past century: Michel Foucault, Philosopher, Psychologist, and above all (university) Professor. Michel Foucault is certainly versatile: Historian (of madness, clinical practice, imprisonment and sexuality), Archaeologist (of knowledge), Analyst (of discourse and power relations), Psychologist (genealogy of subjectivity) and Philosopher (of power and the subject). With this article, we eventually expect to offer some clues to be able to use the work of Michel Foucault for the problematization of Psychology.
Mission assurance increased with regression testing
Lang, R.; Spezio, M.
Knowing what to test is an important attribute in any testing campaign, especially when it has to be right or the mission could be in jeopardy. The New Horizons mission, developed and operated by the John Hopkins University Applied Physics Laboratory, received a planned major upgrade to their Mission Operations and Control (MOC) ground system architecture. Early in the mission planning it was recognized that the ground system platform would require an upgrade to assure continued support of technology used for spacecraft operations. With the planned update to the six year operational ground architecture from Solaris 8 to Solaris 10, it was critical that the new architecture maintain critical operations and control functions. The New Horizons spacecraft is heading to its historic rendezvous with Pluto in July 2015 and then proceeding into the Kuiper Belt. This paper discusses the Independent Software Acceptance Testing (ISAT) Regression test campaign that played a critical role to assure the continued success of the New Horizons mission. The New Horizons ISAT process was designed to assure all the requirements were being met for the ground software functions developed to support the mission objectives. The ISAT team developed a test plan with a series of test case designs. The test objectives were to verify that the software developed from the requirements functioned as expected in the operational environment. As the test cases were developed and executed, a regression test suite was identified at the functional level. This regression test suite would serve as a crucial resource in assuring the operational system continued to function as required with such a large scale change being introduced. Some of the New Horizons ground software changes required modifications to the most critical functions of the operational software. Of particular concern was the new MOC architecture (Solaris 10) is Intel based and little endian, and the legacy architecture (Solaris 8) was SPA
Mapping geogenic radon potential by regression kriging.
Pásztor, László; Szabó, Katalin Zsuzsanna; Szatmári, Gábor; Laborczi, Annamária; Horváth, Ákos
2016-02-15
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. Copyright © 2015 Elsevier B.V. All rights
An Application on Multinomial Logistic Regression Model
Abdalla M El-Habil
2012-03-01
Full Text Available Normal 0 false false false EN-US X-NONE X-NONE This study aims to identify an application of Multinomial Logistic Regression model which is one of the important methods for categorical data analysis. This model deals with one nominal/ordinal response variable that has more than two categories, whether nominal or ordinal variable. This model has been applied in data analysis in many areas, for example health, social, behavioral, and educational.To identify the model by practical way, we used real data on physical violence against children, from a survey of Youth 2003 which was conducted by Palestinian Central Bureau of Statistics (PCBS. Segment of the population of children in the age group (10-14 years for residents in Gaza governorate, size of 66,935 had been selected, and the response variable consisted of four categories. Eighteen of explanatory variables were used for building the primary multinomial logistic regression model. Model had been tested through a set of statistical tests to ensure its appropriateness for the data. Also the model had been tested by selecting randomly of two observations of the data used to predict the position of each observation in any classified group it can be, by knowing the values of the explanatory variables used. We concluded by using the multinomial logistic regression model that we can able to define accurately the relationship between the group of explanatory variables and the response variable, identify the effect of each of the variables, and we can predict the classification of any individual case.