MathematicsEconomics

Deciding on the Number of Classes in Latent Class Analysis and Growth Mixture Modeling: A Monte Carlo Simulation Study

K. Nylund, T. Asparouhov, B. Muthén

2007.10.23STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL

DOI: 10.1080/10705510701575396

tlooto Summary

Whereas the Bayesian Information Criterion performed the best of the ICs, the bootstrap likelihood ratio test proved to be a very consistent indicator of classes across all of the models considered.

Abstract

Abstract is not available.

Citation format

NYLUND, K.; ASPAROUHOV, T.; MUTHÉN, B. Deciding on the number of classes in latent class analysis and growth mixture modeling: A monte carlo simulation study. STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL, 2007, 14: 535–569.