Applications of Mean and Covariance Structure Analysis: Integrating Correlational and Experimental Approaches
Abstract
This article discusses mean and covariance structure (MACS) analysis as a mechanism for testing individual differences and group mean differences within a single integrated framework. The article is most appropriate for those with a basic understanding of confirmatory factor analysis and structural equation modeling but who have not been introduced to mean structures in either model. The article is both a tutorial and an extension of previous...
Paper Details
Title
Applications of Mean and Covariance Structure Analysis: Integrating Correlational and Experimental Approaches
Published Date
Jan 1, 2004
Volume
7
Issue
1
Pages
27 - 65
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