The work of Joreskog and Sorbom in comparing factor structures of several populations is extended to a more general analysis of covariance structures. Also, more complex constraints on parameters are allowed in this work. (JKS)

This paper describes a variety of confirmatory factor analysis models that provide improved tests of multitrait-multimethod matrices, and compares three different approaches (the original Campbell-Fiske guidelines, an analysis of variance model, and confirmatory factor analysis models). (PN)

The effects of under and overrotation on common factor loading stability under three levels of common variance and three levels or error are examined. Four representative factor matrices were selected. Results suggested that matrices which account for large amounts of common variance tend to have stable factor loadings. (Author/RL)

Describes a precise yet simple method for computing eigenvalues and eigenvectors of a symmetric matrix useful in teaching quantum mechanics. (SK)

The Course Selection Matrix Chart helps student and counselor produce an objective ranking of available courses. The versatile and convenient five-step self-help method can accommodate comparison of up to seven courses and may be modified to compare items other than courses. (MSE)

Canonical weights and structure correlations are used to construct low dimensional views of the relationships between two sets of variables. These views, in the form of biplots, display familiar statistics: correlations between pairs of variables, and regression coefficients. (SLD)

Presents two papers commenting on previous published articles. Discusses formulas related to the determinants of sums and tests the formulas using some examples. Provides three special cases of the determinants of sums. (YP)

Standardization procedures in discriminant analysis are discussed. Three leading software packages--SPSSX, BMDP, and SAS--are compared in terms of their calculations of unstandardized and standardized discriminant coefficients. Estimation procedures are described for each. Arguments are presented for within-group, rather than total, variance…

It is suggested that using an unbiased estimate of the weight matrix may eliminate the small or intermediate sample size bias of the asymptotically distribution-free (ADF) test statistic. Results of simulations show that test statistics based on the biased estimator or the unbiased estimate are highly similar. (SLD)

The technique of clustering facilitates constructivist investigation in counseling research and clinical counseling sessions. Clients can be helped to put difficult-to-verbalize feelings into words. Having clients collaborate in configuring the rich but chaotic data renders that data amenable to matrix analysis. Recently developed computer…

A modification of Horn's parallel analysis is introduced that is based on the Monte Carlo simulation of the null distributions of the eigenvalues generated from a population correlation identity matrix. This modification reduces the tendency of the parallel analysis procedure to overextract or to extract poorly defined factors. (SLD)

Two experiments, involving 195 undergraduates, investigated how different note-taking formats influenced student note taking. Results reconfirmed that a flexible outline framework in which the order of subtopics corresponds to the order of lecture presentation produces more note taking than a collapsed matrix framework presenting fewer subtopics.…

Discusses skills development and presents a matrix that combines two skills classifications: closed and open skills, and discrete and continuous skills. Examples of each type of skill are given, implications for instructional design are considered, and the creation of a museum of examples of open-skilled products and performances for instructional…

Two versions of a decision rule for determining the most appropriate number of clusters on the basis of a correlation matrix are presented, applied, and compared with three other decision rules. The new rule is efficient for determining the number of clusters on the surface level for multilevel data. (SLD)

Describes a study in which several different sets of hypertext links are inserted by different people in full-text documents. The degree of similarity between the sets is measured using coefficients and topological indices. As in comparable studies of inter-indexer consistency, the sets of links used by different people showed little similarity.…