Abstract
This special issue of Structural Equation Modeling: A Multidisciplinary Journal focuses on advances in finite mixture modeling. Finite mixture models are an exciting class of statistical models for data consisting of unmeasured groups. The articles in this special issue focus on novel uses of mixture models, new approaches to examine model selection uncertainty, model fit, model sensitivity, and alternative approaches to search multivariate data for groups.
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