Reasons for transforming dependent variable measures for use in analysis of variance is discussed, including nonnormality, heteroscedasticity and scale-induced interactions. It is pointed out that nonlinear transformations change the interpretation of interactions, and a method for reducing heteroscedasticity is described. (Author/RM)

The equivalence of one-way multivariate analysis of variance and canonical correlation is well known. The usefulness of canonical correlation analysis is performing factorial multivariate analysis of variance is demonstrated. (Author)

The contention of this paper is that the obtained difference in a study by DuCette and Wolk, which indicated that giving options in an essay examination produces poorer test performance, was an artifact of the scoring procedures. (Author/RK)

The issue of power in exploratory single group repeated measures analysis of variance is explored under the condition of heterogeneous correlations across the repeated measures trials. Tables developed from 13 real and hypothetical data sets (70 cells) show how well both univariate and multivariate power is estimated under a variety of conditions…

Procedure and program here described are designed to assess the reliability of J judges who are assigning N stimuli to one of K categories. (Authors)

Defining population diversity as the distribution along a continuum of homogeneity to heterogeneity with respect to one or more variables, measures are described with variance-based interpretations which can be applied to qualitative data. It is possible to use these statistics to define relationships in multivariate distributions. (Author/CTM)

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…

A method for estimating variance-covariance matrices with incomplete data for use in discriminant function analysis is presented. An example of its use in college algebra course placement is also presented. (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 basic notion of variability is generalized from a univariate context to a multivariate context using two matrix functions, a determinant, and a trace, yielding a number of alternative multivariate indices of shared variation. Some problems in the interpretation of tests of multivariate hypotheses are reviewed. (Author/BW)

When measuring the same variables on different occasions, two procedures for canonical analysis with stationary compositing weights are developed. Both methods are extended to allow for cohort sequential designs and a numerical illustration is presented. (Author/JKS)

The effectiveness of two techniques of teaching freshman composition is assessed. One technique is the use of extensive written comments on the cover sheet and pages of a theme to inform the writer of his strengths and weaknesses. The other is the use of one class period per theme for the discussion of two or three of the themes written for that…

In a part/whole free-recall paradigm, whole-list learning was examined as a function of the degree of part-list organization and the extent to which it was maintained. (Author)

Besides the ubiquitous Pearson product-moment r, there are a number of other measures of relationship that are attenuated by errors of measurement and for which the relationship between true measures can be estimated. Among these are the correlation ratio (eta squared), Kelley's unbiased correlation ratio (epsilon squared), Hays' omega squared,…