Confirmatory Factor Analysis Applications: Missing Data Problems And Comparison Of Path Models Between Populations

Abstract

Procedures for simultaneous confirmatory factor analysis in several populations are useful in a wide variety of problems. This is demonstrated with examples involving missing data, comparison of part correlations between groups, testing the equality of regression weights between groups with multiple indicators of each variable, and the formulation of growth models. Corrections for attenuation can be incorporated into analysis of covariance and analysis of variance procedures.