Focuses on the procedures available for substituting a special predictive coding method for some of the more complex general regression procedures. (Author)

A study examined spatial factors (minority population, segregation, racial differences in the workforce and the educational system, and minority public officials) and organizational factors (ownership and circulation) that may predict newsroom minority employment. Data for this secondary analysis of 172 newspapers were gathered from earlier…

A stepwise canonical procedure, including two selection indices for variable deletion and a rule for stopping the iterative procedure, was derived as a method of selecting core variables from predictors and criteria. The procedure was applied to simulated data varying in the degree of built in structures in population correlation matrices, number…

Kirby and Das (EJ 182 444) dichotomized measures of individual differences and treated them as independent variables in an analysis of variance. Correlational analysis would have provided more powerful tests of their hypotheses. Interpretation of the dichotomized variables as independent, causal antecedents of their measures of intelligence would…

The purposes of this paper are to provide an explanation of the way in which suppressor variables operate in multiple regression, and to provide illustrations of their effects with actual social science data. Examples are reviewed in which one predictor accounts for more of the variance in the dependent variable when another predictor is included,…

This paper, a revision of the original document, "Correcting Partial, Multiple, and Canonical Correlations for Attenuation" (see TM 000 535), presents the formula for correcting coefficients of partial correlation for attenuation due to errors of measurement. In addition, the correction for attenuation formulas for multiple and cannonical…

The correction for attenuation formulas for partial, multiple, and canonical correlation coefficients are discussed and the effects of measurement errors on these statistics are explored. The notation is standardized and the derivation extended where appropriate. It is shown that as the reliabilities of the predictors become more disparate, the…

Reports research into the affective responses of 75 University of Iowa undergraduate students to situations varying in achievement outcome, task importance, and effort. Analysis of variance indicates that the affective component score is dependent mainly on the student's perceptions of his/her academic success or failure. (EAO)

To estimate correlation between motivation and achievement, correlations from a calibration sample of 22 studies and a validation sample of 18 studies were analyzed using analysis of variance and regression techniques. Grade level was the only significant student characteristic; motivation and achievement were more highly correlated in later…

Describes study of two-year college students that was conducted to determine whether variables that were predictors of success in a programing class were also predictors of success in a package-oriented computer class using Lotus 1-2-3. Diagraming skill, critical thinking ability, spatial discrimination, and test anxiety level were examined. (11…

Detailed methodology used to evaluate a causal model of school environment is presented in this report. The model depicts societal features that influence school district values and organizational characteristics, which in turn influence school operations and personnel attitudes and values. These school variables affect school community members'…

Describes the development and testing of the Bath County Computer Attitudes Scale (BCCAS), which is designed to measure elementary and secondary school students' attitudes toward computers. Preliminary and revised versions are reviewed, and a analysis of data supports the validity of the BCCAS as a measure of computer attitudes. (Author/LRW)

Describes study that investigated the impact of individual differences on deaf college students' attitudes toward computers at Gallaudet University. The impact of age, gender, computer experience, and major are examined, and results indicate a strong correlation between computer experience level and attitudes. (22 references) (Author/LRW)

The general linear model was described, and the influence that measurement errors have on model parameters was discussed. In particular, the assumptions of classical true-score theory were used to develop algebraic relationships between the squared multiple correlations coefficient and the regression coefficients in the infallible and fallible…

The suppressor variable, a variable wholly uncorrelated with a criterion, but which nevertheless improves prediction because of its relationship with a predictor, is critically examined. For a suppressor so defined, formal identities are shown with part, partial, and multiple correlational procedures. It is demonstrated that if maximum prediction…