Mixture modeling for organizational behavior research

Abstract

This chapter introduces mixture modeling, with a specific focus on the analytical possibilities provided by this methodological framework for cross-sectional and longitudinal organizational behavior research. We first introduce basic principles of mixture modeling, which are also broadly labeled person-centered approaches, before presenting, in a pedagogical manner, various types of mixture models that are available to researchers. These models include latent profile analyses, multi-group latent profile analyses, mixture regression analyses, and the longitudinal models of profile similarity, latent transition analyses, and growth mixture analyses. For each model, a non-technical description and recommendations for its implementation are provided, followed by brief illustrations of the model as it has been applied in previous studies. To enable readers to carry out the advanced models demonstrated here in an informed manner, we also provide an extensive set of online supplements that focus on the estimation of these models in the Mplus statistical package.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 75 citations exist upstream.