Model fit criteria curve behaviour in class enumeration – a diagnostic tool for model (mis)specification in longitudinal mixture modelling

DOI10.1080/00949655.2021.2004141OpenAlexW3217686397WikidataQ129218608 ScholiaQ129218608MaRDI QIDQ5083338

Gerard J. P. van Breukelen, Math J. J. M. Candel, Valéria Lima Passos, Gavin van der Nest

Publication date: 22 June 2022

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2021.2004141

zbMATH Keywords

repeated measurestrajectorygrowth mixture modelcovariance misspecificationclass extractionlatent class growth analysis

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• lme4
• ggplot2
• Mplus
• MplusAutomation
• dplyr
• viridis
• brglm2
• stargazer
• ggeffects

Cites Work

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• An entropy criterion for assessing the number of clusters in a mixture model
• Latent profile analysis with nonnormal mixtures: a Monte Carlo examination of model selection using fit indices
• The effect of model misspecification on growth mixture model class enumeration
• Testing the number of components in a normal mixture
• ggplot2
• Finite Mixture Modeling with Mixture Outcomes Using the EM Algorithm
• Pattern-Mixture Models for Multivariate Incomplete Data

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