This article contributes to the literature addressing the needs of increasing student enrollment and retention across university campuses by identifying programs where progress can be made to improve the student retention rate and increase university enrollment. This article derives from a provisional program that began in the fall of 2009 at a…

The relationship between teacher experience, further professional development training, and beliefs and attributions about teaching students with additional learning support needs was studied in a sample of 199 mainstream general class primary school teachers. Using multiple regression, it was found that none of the teacher experience or…

Dominance analysis (DA) is a method used to compare the relative importance of predictors in multiple regression. DA determines the dominance of one predictor over another by comparing their additional R[squared] contributions across all subset models. In this article DA is extended to multivariate models by identifying a minimal set of criteria…

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…

A growing controversy surrounds the strict interpretation of statistical significance tests in social research. Statistical significance tests fail in particular to provide estimates for the stability of research results. Methods that do provide such estimates are known as invariance or cross-validation procedures. Invariance analysis is largely…

The relationship of multiple linear regression to various multivariate statistical techniques is discussed. The importance of the standardized partial regression coefficient (beta weight) in multiple linear regression as it is applied in path, factor, LISREL, and discriminant analyses is emphasized. The multivariate methods discussed in this paper…

Many women, even as they embrace feminist principles, are loath to be labeled "feminists." This study presents a measure of feminist identity that accounts for beliefs and behaviors of self-identified feminists and nonfeminists, and for a third group, egalitarians, who endorse liberal feminist beliefs but reject the feminist label. In a sample of…