This study goes beyond much of previous research by using regression models to generate regression surfaces and by including measures of family and school environments in analyzing relations between personality and measures of cognitive and affective characteristics in Australian 12-year-old children. (Author/KR)

The conceptual differences between coded regression analysis and traditional analysis of variance are discussed. Also, a modification of several SPSS routines is proposed which allows for direct interpretation of ANOVA and ANCOVA results in a form stressing the strength and significance of scrutinized relationships. (Author)

A data set from the area of clinical psychology was used to show how multiple regression analysis could be used where analysis of variance might more commonly be used. (JKS)

Recent criticism in the literature of the use of inferential statistics in educational research is refuted. The authors focus on the defense of multiple regression analysis. (JKS)

The causal modelling technique is extended to nonrecursive causal models that involve feedback and/or reciprocal causation. Three least squares techniques for estimating parameters are described, and data from an empirical study illustrate the causal modelling technique. (Author/GDC)

Data were simulated to conform to covariance patterns taken from personnel selection literature. Incomplete data matrices were treated by four methods. Treated matrices were subjected to multiple regression analyses. Resulting regression equations were compared to equations from original, complete data. Results supported using covariate…

From 13 objective interview items, five with adequate response variability were studied to determine if they would improve the validity of a verbal ability selection test in predicting work performance of 181 psychiatric aide trainees. In a multiple regression analysis, the verbal test correlated .27 with the weighted composite rating score.…

Explains multiple regression, demonstrates its flexibility for analyzing data from various designs, and discusses interpretation of results from multiple regression analysis. Presents regression equations for single independent variable and for two or more independent variables, followed by a discussion of coefficients related to these. Compares…

The reviewer praises the book as a good elementary introduction to theory and method in factor analysis as it applies to psychometrics and social science research. (TJH)

Presents a comparative reanalysis of two studies into why some story events are more memorable than other events. Also proposes a theoretical account of the identified variables (story-grammar category, causal chain, causal connectivity factors to recall, and other measures of story understanding) and their influence on the comprehension of…

Strongly confirmed the hypothesis that groups employing an interacting decision procedure would produce better decisions than groups employing procedures that are either nominal (Delphi) or "staticized" (individual judgments statistically pooled). Provides clear and consistent support for the value of social interaction in small group…

Prediction of General Educational Development (GED) scores from motivational variables derived from Vroom's expectancy-valence theorem was hypothesized. The Tests of Adult Basic Education score, General Aptitude Test Battery score, MD1 expectancy subscale score, and Minnesota Multiphasic Personality Inventory defensiveness score accounted for…

Analysis of responses from 536 teachers revealed that teachers' background and professional attitudes were related to their views toward six specific types of evaluation. Multifaceted approaches may be required in order to realize consensus regarding teacher evaluation. (MLF)

This study examines possibility of ranking journals in physics by means of bibliometric regression models that estimate usefulness as it is reported by 167 physicists in United States and Canada. Development of four models, patterns of deviation from models, and validity and application are discussed. Twenty-six references are cited. (EJS)

A method is developed for testing a priori multiple regression models. The method allows one to specify in advance as many unstandardized or standardized coefficients as one wants to and allows the remaining slopes to be free to vary. (Author/PN)