A Method for Comparing Completely Standardized Solutions in Multiple Groups

Tenko Raykov · George A. Marcoulides

106 citations0/0 files storedStructural Equation Modeling A Multidisciplinary Journal

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Psychometric Methodologies and Testing Statistical Methods and Applications Statistical Methods and Bayesian Inference

Abstract

A method for comparing completely standardized solutions in multiple groups is outlined. It is based on a correlation structure analysis of equal-size samples and uses the correlation distribution theory implemented in the program RAMONA. Unlike the common metric completely standardized solution, the approach yields parameter standard errors and can be applied to scale-invariant models as well as to models that do not exhibit this property. The method is illustrated on a 2-group cognitive aging data set from the Berlin Aging Study.

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References

1992Alternative Ways of Assessing Model Fit 1989Structural Equations with Latent Variables 1991Structural Equations with Latent Variables.1989EQS : structural equations program manual 1969Statistical Theories of Mental Test Scores 1993Measurement Invariance, Factor Analysis and Factorial Invariance 1971Simultaneous Factor Analysis in Several Populations 1989Analysis of correlation matrices using covariance structure models.

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