Conditional median-based Bayesian growth mixture modeling for nonnormal data

Volume: 54, Issue: 3, Pages: 1291 - 1305
Published: Sep 29, 2021
Abstract
Growth mixture modeling is a common tool for longitudinal data analysis. One of the key assumptions of traditional growth mixture modeling is that repeated measures within each class are normally distributed. When this normality assumption is violated, traditional growth mixture modeling may provide misleading model estimation results and suffer from nonconvergence. In this article, we propose a robust approach to growth mixture modeling based...
Paper Details
Title
Conditional median-based Bayesian growth mixture modeling for nonnormal data
Published Date
Sep 29, 2021
Volume
54
Issue
3
Pages
1291 - 1305
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