Results of this study support the view that ideology formation is a function of both personality and social system factors. (Authors/MB)

This method of generating multivariate data differs from previous techniques in that it uses Crout factorization to develop the desired variance-covariance matrix. (Author/CK)

Tests hypotheses on educators' orientations toward pupil control. (Author)

The relationship between empathy and style of leadership was investigated. Small groups of undergraduates were assessed for predictive and perceived empathy and for leadership style. Multiple regression analysis indicated that predictive, but not perceived, empathy was a significant predictor of leadership style. Other components of leadership…

Interpretations regarding the effects of exogenous and endogenous variables on endogenous variables in linear structural equation systems depend upon the convergence of a matrix power series. The test for convergence developed by Joreskog and Sorbom is shown to be only sufficient, not necessary and sufficient. (Author/JKS)

Problems in testing main effects in regression analysis when there is interaction are discussed. A method by which main effects can be tested independently of the interaction is developed and compared with the hierarchical method. The method provides control of the type I error rate, but is quite conservative. (Author/JKS)

A process is described for multiple comparisons when covariates are involved in the analysis. The method can be accomplished with considerable ease whenever pairwise comparisons are involved. More complex contrasts require the use of full and restricted models of variance. (CTM)

It has long been popular to utilize the least squares estimation procedure for fitting the multiple linear regression model to observed data. In this paper, two useful alternatives to least squares estimation in exploratory data analysis are examined: least absolute value estimation and Chebychev estimation. (Author/JKS)

Issues in the application of multiple regression analysis as a data analytic tool are discussed at some length. Included are discussions on component regression, factor regression, ridge regression, and systems of equations. (JKS)

Three different uses of ratio variables in aggregate data analysis are discussed: (1) as measures of theoretical concepts, (2) as a means to control an extraneous factor, and (3) as a correction for heteroscedasticity. Alternatives to ratios for each of these cases are discussed and evaluated. (Author/JKS)

A method for testing differential predictability in a selection model was illustrated on data from 103 male and 24 female graduate students. Since the models were not homogeneous in the variance, a method for adjusting for heterogeneity was presented. (Author/CTM)

Although the relationship between teacher job satisfaction and absenteeism is tenuous, the relationship is apt to be stronger under conditions of high work interdependence rather than under moderate or low interdependence. (Author/IRT)

Most of the variance in educational effectiveness studies is inexplicable in terms of influences that can be measured and controlled. Nevertheless, it is still possible to design educational policy that will function well under conditions of uncertainty. (Author/RLV)