The Effect of Model Misspecification on Growth Mixture Model Class Enumeration
Abstract
Multiple criteria have been proposed to aid in deciding how many latent classes to extract in growth mixture models; however, studies are just beginning to investigate the performance of these criteria under non-ideal conditions. We review these previous studies and conduct a simulation study to address the performance of fit criteria under two previously uninvestigated assumption violations: (1) linearity of covariates and (2) proper...
Paper Details
Title
The Effect of Model Misspecification on Growth Mixture Model Class Enumeration
Published Date
Jun 10, 2017
Journal
Volume
34
Issue
2
Pages
223 - 248
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History