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Utah State University

Psychology Faculty Publications

Measurement equivalence

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Structural Equation Modeling Of Multiple-Indicator Multimethod-Multioccasion Data: A Primer, Christian Geiser, Fred A. Hintz, G. Leonard Burns, Mateu Servera Apr 2017

Structural Equation Modeling Of Multiple-Indicator Multimethod-Multioccasion Data: A Primer, Christian Geiser, Fred A. Hintz, G. Leonard Burns, Mateu Servera

Psychology Faculty Publications

We provide a tutorial on how to analyze multiple-indicator multi-method (MM) longitudinal (multi-occasion, MO) data. Multiple-indicator MM-MO data presents specific challenges due to (1) different types of method effects, (2) longitudinal and cross-method measurement equivalence (ME) testing, (3) the question as to which process characterizes the longitudinal course of the construct under study, and (4) the issue of convergent validity versus method-specificity of different methods such as multiple informants. We present different models for multiple-indicator MM-MO data and discuss a modeling strategy that begins with basic single-method longitudinal confirmatory factor models and ends with more sophisticated MM-MO models. Our proposed …


Testing For Measurement Invariance And Latent Mean Differences Across Methods: Interesting Incremental Information From Multitrait-Multimethod Studies, Christian Geiser, G. Leonard Burns, Mateu Servera Oct 2014

Testing For Measurement Invariance And Latent Mean Differences Across Methods: Interesting Incremental Information From Multitrait-Multimethod Studies, Christian Geiser, G. Leonard Burns, Mateu Servera

Psychology Faculty Publications

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 …