This study investigates and analyzes the relation between the secondary school organizational climate and teacher job satisfaction using a self-designed school organizational climate scale based on studies in China and abroad. The findings show that except for interpersonal factors there are significant correlations between the various factors of…

Based on 164 undergraduate business majors, we examined the relationship between satisfaction with major and Holland's vocational interests and with the Big Five and narrow personality traits. Contrary to our hypothesis, enterprising scores were unrelated to major satisfaction. As hypothesized, using ipsative and normative scores, investigative,…

Anger is a common problem in trauma-exposed individuals. This study investigated factors that contribute to post-traumatic anger in civilian trauma survivors. Fifty-one trauma-exposed individuals were assessed for expressed anger, post-traumatic stress disorder (PTSD), daily hassles, maladaptive cognitions and blame. PTSD and non-PTSD participants…

Objective: To examine precursors of adolescent conduct disorder (CD) in children with attention-deficit/hyperactivity disorder (ADHD), investigating the significance of childhood oppositional defiant disorder (ODD) and ADHD. Method: A total of 151 children with ADHD recruited from child psychiatric and pediatric clinics were assessed through…

For many purposes, it is useful to collect a corpus of texts all produced to the same stimulus, whether to measure performance (as on a test) or to test hypotheses about population differences. This paper examines several methods for measuring similarities in phrasing and content and demonstrates that these methods can be used to identify…

This study examined the relationship between Teacher self- efficacy, interest, attitude, qualification, experience and pupils' academic achievement in primary school mathematics. The participants of the study comprises of 254 primary school teachers and 120 primary school pupils. Data collected on the study were analysed using a stepwise multiple…

The computation and reporting of effect size estimates is becoming the norm in many journals in psychology and related disciplines. Despite the increased importance of effect sizes, researchers may not report them or may report inaccurate values because of a lack of appropriate computational tools. For instance, Pierce, Block, and Aguinis (2004)…

Although a powerful technique, the partialling of independent variables from one another in the context of multiple regression analysis poses certain perils. The present article argues that the most important and underappreciated peril is the difficulty in knowing what construct an independent variable represents once the variance shared with…

To test the hypothesis that the genetic etiology for reading disability may differ in males and females, data from identical and fraternal twin pairs were analysed using both concordance and multiple regression methods. The sample included 264 identical (129 male, 135 female) and 214 same-sex fraternal (121 male, 93 female) twin pairs in which at…

In this article, the authors report 2 experiments that investigated the sources of information used in transfer and nontransfer tasks in artificial grammar learning. Multiple regression analyses indicated that 2 types of information about repeating elements were crucial for performance in both tasks: information about the repetition of adjacent…

Interpretation of emergent variables on the basis of structure coefficients (zero order correlations between original and emergent variables) is potentially very misleading and should be avoided in favor of interpretation on the basis of scoring coefficients. This is most apparent in multiple regression analysis and its special case, two-group…

This paper explains in user-friendly terms why multivariate statistics are so important in educational research. The basic logic of canonical correlation analysis is presented as a simple or bivariate Pearson "r" procedure. It is noted that all statistical tests implicitly involve the calculation of least squares weights, and that all…

Analysis of variance (ANOVA) and multiple regression are two of the most commonly used methods of data analysis in behavioral science research. Although ANOVA was intended for use with experimental designs, educational researchers have used ANOVA extensively in aptitude-treatment interaction (ATI) research. This practice tends to make researchers…

A factor analysis of the Coleman Report data on Equality of Educational Opportunity is used to suggest several hypotheses about the nature of interactions affecting educational production functions. These hypotheses were used in the specification of a simultaneous equation regression model of the educational process. (Author/EH)

It is the purpose of this paper to investigate the chance nature of overfit as it relates to a regression formulation of research, to describe a model for projecting the overfit, and to empirically validate the model. (Author)