JOURNAL ARTICLE

Testing a Priori Hypotheses about Differences among Covariance Matrices

Kay SchurrL. W. Henriksen

Year: 1984 Journal:   Educational and Psychological Measurement Vol: 44 (2)Pages: 255-264   Publisher: SAGE Publishing

Abstract

Provided is a description of three methods that allow one to test certain types of a priori hypotheses about differences among covariance matrices. In addition to descriptions of methods not generally found in discussions of multivariate analyses, 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.

Keywords:
LISREL Covariance A priori and a posteriori Set (abstract data type) Multivariate statistics Analysis of covariance Covariance matrix Econometrics Statistics Statistical hypothesis testing Multivariate analysis Computer science Mathematics Structural equation modeling

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