Provided is a description of three methods for testing certain types of a priori hypotheses about differences among covariance matrices. Briefly outlined are procedures for using two computer programs, COFAMM and LISREL, for testing such hypotheses. Also provided are examples of application of the methods to a meaningful data set. (Author/BW)

Purpose: This study represents the first reporting of aggregate data of a longitudinal study designed to identify correlations between medical student personality traits and type of residency, later selected. It is a multisite project involving four US medical schools over a period of nearly ten years. The current study sought to test the…

This exploratory study examined the level of involvement of Temporary Assistance for Needy Families (TANF) applicants in Milwaukee County, Wisconsin with the child welfare system both before and after their application for TANF assistance and inclusion in the study. The study found a high level of involvement of TANF applicants with child…

The purpose of this study was to examine the effect of instrument completion instructions on univariate and multivariate distributional characteristics and relationships among variables. Instructions allowed free-choice allotment of ratings (unforced instructions) or requested the subject to assign a certain number of ratings to either the highest…

The longitudinal factor analysis" model, which uniquely resolves factors from two occasions of data representing the same persons measured on the same test battery, is shown to be derivable by application of canonical correlation procedures to factor scores. (Author)

Structural equation modeling is applied in conjunction with constrained monotone distance analysis. These alternative methods are used in an evaluation of a social-psychological model derived from Likert's theory of organizational behavior. (Author/JKS)

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)

Multivariate generalizability deals with the interpretation of a profile or composite of measurements. Using data from the Beginning Teacher Evaluation Study to illustrate the differing interpretations of viewing test data from universe and multivariate perspectives, this chapter concludes with computer programs that the reader can implement to…

Many models have been proposed for examining factors from several batteries of tests. A model for such an analysis is presented which allows for maintaining the distinction among batteries. A discussion of the computational procedures is given, and examples are provided. (Author/JKS)

In a secondary analysis of the Abrams and Siegel evaluation of the Transcendental Meditation program at Folsom prison, experimental groups fared better than control groups, although the treatment explains only a small proportion of the variance. (Author)

Examines the prevalence of inflated Type I error in counseling research and recommends wider use of multivariate statistics to correct the problem. Type I error becomes inflated beyond acceptable levels when researchers perform individual univariate statistics on each of several dependent variables within a single project. (Author)

Examines the recommendations of H. Keselman, K. Carriere, and L. Lix (1993) regarding choice of sample size for obtaining robust tests of the repeated measures main and interaction hypotheses in a one Between-Subjects by one Within- Subjects design with a Welch-James type multivariate test when covariance matrices are heterogeneous. (SLD)

Describes a study that examined sense of community in two graduate distance education programs that differed only in the amount of face-to-face contact. Discusses results of multivariate analysis of variance and post hoc discriminant analysis and includes implications for asynchronous learning networks (ALNs) in higher education, especially the…

A Monte Carlo simulation study compared the power and Type I errors of the Wilks lambda statistic and the statistic of M. L. Puri and P. K. Sen (1971) on transformed data in a one-way multivariate analysis of variance. Preferred test procedures, based on robustness and power, are discussed. (SLD)

A Monte Carlo study involving 1,000 random samples from each of 64 different population matrices investigated bias in both canonical correlation and redundancy coefficients. Results indicate that the Wherry correction provides a reasonable solution to this problem and that canonical results are not as biased as has been believed. (TJH)