Artur Pokropek|Eldad Davidov|Péter Schmidt
A Monte Carlo Simulation Study to Assess The Appropriateness of Traditional and Newer Approaches to Test for Measurement Invariance
Polish Academy of Sciences|University of Cologne|University of Zurich|University of Giessen
several structural equation modeling sem strategies developed assessing measurement invariance mi across groups relaxing assumptions strict mi partial approximate partial approximate mi nonetheless applied researchers still know conditions strategies might provide results allow valid comparisons across groups largescale comparative surveys perform comprehensive monte carlo simulation study assess conditions various sem methods appropriate estimate latent means path coefficients differences across groups find sem path coefficients relatively robust violations full mi rather effectively recovered recovering latent means group rankings might difficult results suggest contrary previous recommendations partial invariance may rather effectively recover path coefficients latent means even majority items noninvariant although difficult recover latent means using approximate partial approximate mi methods possible specific conditions using appropriate models models also advantage providing accurate standard errors alignment recommended recovering latent means cases noninvariant parameters across groups