Auxiliary Variables in Mixture Modeling: Three-Step Approaches Using Mplus

Volume: 21, Issue: 3, Pages: 329 - 341
Published: Jun 9, 2014
Abstract
This article discusses alternatives to single-step mixture modeling. A 3-step method for latent class predictor variables is studied in several different settings, including latent class analysis, latent transition analysis, and growth mixture modeling. It is explored under violations of its assumptions such as with direct effects from predictors to latent class indicators. The 3-step method is also considered for distal variables. The Lanza,...
Paper Details
Title
Auxiliary Variables in Mixture Modeling: Three-Step Approaches Using Mplus
Published Date
Jun 9, 2014
Volume
21
Issue
3
Pages
329 - 341
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