AUTHOR=Geiser Christian , Burns G. Leonard , Servera Mateu TITLE=Testing for measurement invariance and latent mean differences across methods: interesting incremental information from multitrait-multimethod studies JOURNAL=Frontiers in Psychology VOLUME=Volume 5 - 2014 YEAR=2014 URL=https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2014.01216 DOI=10.3389/fpsyg.2014.01216 ISSN=1664-1078 ABSTRACT=
Models of confirmatory factor analysis (CFA) are frequently applied to examine the convergent validity of scores obtained from multiple raters or methods in so-called multitrait-multimethod (MTMM) investigations. We show that interesting incremental information about method effects can be gained from including mean structures and tests of MI across methods in MTMM models. We present a modeling framework for testing MI in the first step of a CFA-MTMM analysis. We also discuss the relevance of MI in the context of four more complex CFA-MTMM models with method factors. We focus on three recently developed multiple-indicator CFA-MTMM models for structurally different methods [the correlated traits-correlated (methods – 1), latent difference, and latent means models; Geiser et al.,