Articlegreen1991

Confirmatory Factor Analyses of Multitrait-Multimethod Data: A Comparison of Alternative Models

312 citations0/0 files storedApplied Psychological Measurement

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Psychometric Methodologies and Testing Mental Health Research Topics Reliability and Agreement in Measurement

Abstract

Alternative models for confirmatory factor analysis of multitrait-multimethod (MTMM) data were evaluated by varying the number of traits and methods and sample size for 255 MTMM matrices constructed from real data (Study 1), and for 180 MTMM matrices constructed from simulated data (Study 2). The correlated uniqueness model converged to proper solutions for 99% (Study 1) and 96% (Study 2) of the MTMM matrices, whereas the general model typically used converged to proper solutions for only 24% (Study 1) and 22% (Study 2) of the MTMM matrices. The general model was usually ill-defined (100% in Study 1, 90% in Study 2) for small MTMM matrices with small Ns, but performed better when the size of the MTMM matrix and N were larger. Even when both models converged to proper solutions, however, parameter estimates for the correlated uniqueness model were more accurate and precise in relation to known population parameters in Study 2.

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References

1980Significance tests and goodness of fit in the analysis of covariance structures.1973A Reliability Coefficient for Maximum Likelihood Factor Analysis 1988Goodness-of-fit indexes in confirmatory factor analysis: The effect of sample size.1989Evaluation of goodness-of-fit indices for structural equation models.1988Relation of sample size to the stability of component patterns.1984The Effect of Sampling Error on Convergence, Improper Solutions, and Goodness-of-Fit Indices for Maximum Likelihood Confirmatory Factor Analysis 1971Statistical Analysis of Sets of Congeneric Tests 1979Correlation and causality

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