- Browse
Search
Program Calendar
Browse By Day
Browse By Time
Browse By Person
Browse By Room
Browse By Unit
Browse By Session Type
- Information Menu
Search Tips
Annual Meeting Housing and Travel
- Navigation and Settings Menu
Personal Schedule
Sign In
- Social Media Menu
Facebook
X (Twitter)
Recent Developments in Multiple-Group, Multilevel, and Longitudinal Mixture Modeling
Sun, April 15, 8:15 to 10:15am, Westin New York at Times Square, Floor: 8th Floor, MinettaSession Type: Symposium
Abstract
The adaption and application of mixture modeling in educational research continues to propagate even while the analytic extensions necessary to deal with complex data structures and variable systems are still being developed and evaluated. The dissemination of modeling advancements and accompanying best-practices often lags behind the empirical demand for these methods. This paper symposium presents an array of recent developments in advanced mixture modeling, including multiple-group, multilevel, and longitudinal techniques, that are designed to address some of the critical analytic challenges already arising in educational research applications of latent class analysis, latent transition analysis, and growth mixture modeling.
Sub Unit
Chair
Papers
Measurement Invariance in Multiple-Group and Longitudinal Mixture Models - Katherine E. Masyn, Georgia State University
Modeling Heterogeneity in Transitions: A Confirmatory Higher Order Latent Transition Analysis - Karen L. Nylund-Gibson, University of California - Santa Barbara; Cecile Binmoeller, University of California - Santa Barbara; Adrienne Nishina, University of California - Davis; Amy Bellmore, University of Wisconsin - Madison
Navigating the Ever-Changing Landscape of Distals in Mixture Models: A Road Map of Current Approaches - Ryan Grimm, University of California - Davis; Karen L. Nylund-Gibson, University of California - Santa Barbara; Katherine E. Masyn, Georgia State University
Multilevel Latent Class Analysis for Cross-Classified Data Structures - Audrey J. Leroux, Georgia State University; Katherine E. Masyn, Georgia State University
The Performance of Multilevel Growth Mixture Models With Between-Group Mixture for Identifying Between-Group Latent Classes - Yu Su, University of Florida; Walter L. Leite, University of Florida