Education Commons^™

An Investigation Of Fit Criteria Within Mg-Cfa For Examining Non-Negligible Measurement Invariance, Abdolvahab Khademi

Doctoral Dissertations

One desirable property of a measurement process or instrument is the maximum invariance of the results across subpopulations with similar distribution of the traits. Determining measurement invariance (MI) is a statistical procedure in which different methods are used given different factors, such as the nature of the data (e.g. continuous, or discrete, completeness), sample size, measurement framework (e.g. observed scores, latent variable modeling), and other context-specific factors. To evaluate the statistical results, numerical criteria are often used, derived from theory, simulation, or practice. One statistical method to evaluate MI is multiple-group confirmatory factor analysis (MG-CFA) in which the amount of …