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Direct linkMeade, Adam W.; Lautenschlager, Gary J. – Structural Equation Modeling, 2004
In recent years, confirmatory factor analytic (CFA) techniques have become the most common method of testing for measurement equivalence/invariance (ME/I). However, no study has simulated data with known differences to determine how well these CFA techniques perform. This study utilizes data with a variety of known simulated differences in factor…
Descriptors: Factor Structure, Sample Size, Monte Carlo Methods, Evaluation Methods
Dudgeon, Paul – Structural Equation Modeling, 2004
This article considers the implications for other noncentrality parameter-based statistics from Steiger's (1998) multiple sample adjustment to the root mean square error of approximation (RMSEA) measure. When a structural equation model is fitted simultaneously in more than 1 sample, it is shown that the calculation of the noncentrality parameter…
Descriptors: Statistical Analysis, Monte Carlo Methods, Structural Equation Models, Error of Measurement
