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

1 April 1979

journal article
research article
Published by Taylor & Francis in Multivariate Behavioral Research

Vol. 14 (2) , 199-213
https://doi.org/10.1207/s15327906mbr1402_5

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.

Keywords

FACTOR ANALYSIS
MATRICES
MATHEMATICAL MODELS
COMPARATIVE ANALYSIS
MISSING DATA
STATISTICAL ANALYSIS
CONFIRMATORY FACTOR ANALYSIS
CORRELATION
ANALYSIS OF COVARIANCE
CRITICAL PATH METHOD

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