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61.063 - Mixture Modeling in Practice
Mon, April 8, 8:00 to 10:00am, Fairmont Royal York Hotel, Floor: Mezzanine Level, SaskatchewanSession Type: Symposium
Abstract
There have been considerable advances in latent variable modeling techniques over the last two decades, including advances in longitudinal and mixture models. However, there are few didactic presentations of such modeling approaches and rare applications in the educational literature. This symposium presents five papers that incorporate recent advances and applications of mixture models, both cross-sectional and longitudinal. The collection of papers in this symposium highlight some of the critical analytic challenges already arising in educational research applications of latent class analysis, latent transition analysis, and factor mixture models.
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Papers
Right Model, Wrong People: Correct Class Assignment in Latent Class Assignment - Dakota Wayne Cintron, Neag School of Education, University of Connecticut; D. Betsy Mccoach, University of Connecticut
Conditional Mediation in Latent Class Analysis - Adam Garber, University of California - Santa Barbara; Mian Wang, University of California - Santa Barbara; Karen L. Nylund-Gibson, University of California - Santa Barbara
A Comparison of Categorical and Continuous Latent Variable Models in a Moderation Framework - Melissa Gordon Wolf, University of California - Santa Barbara; Karen L. Nylund-Gibson, University of California - Santa Barbara; Erin Dowdy, University of California - Santa Barbara; Michael James Furlong, University of California - Santa Barbara
Variance Explained in Distal Outcome(s) From Mixture Models - Delwin Carter, University of California - Santa Barbara; Karen L. Nylund-Gibson, University of California - Santa Barbara
A Comparison of Stepwise Approaches in Latent Transition Analysis - Ryan Grimm, University of Virginia; Karen L. Nylund-Gibson, University of California - Santa Barbara; Emily Jane Solari, The University of Texas - Health Science Center at Houston