The Efficacy of Common Fit Indices for Enumerating Classes in Growth Mixture Models When Nested Data Structure is Ignored: A Monte Carlo Study
Description: This article investigates whether the correct number of classes can still be retrieved when a higher level of nesting in multilevel growth mixture model (MGMM) is ignored.
Date: March 30, 2017
Creator: Chen, Qi; Luo, Wen; Palardy, Gregory J.; Glaman, Ryan & McEnturff, Amber
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Partner: UNT College of Education