Sample Size Requirements in Single- and Multiphase Growth Mixture Models: A Monte Carlo Simulation Study

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Abstract

Just as growth mixture models are useful with single-phase longitudinal data, multiphase growth mixture models can be used with multiple-phase longitudinal data. One of the practically important issues in single- and multiphase growth mixture models is the sample size requirements for accurate estimation. In a Monte Carlo simulation study, the sample sizes required for using these models are investigated under various theoretical and realistic conditions. In particular, the relationship between the sample size requirement and the number of indicator variables is examined, because the number of indicators can be relatively easily controlled by researchers in many multiphase data collection settings such as ecological momentary assessment. The findings not only provide tangible information about required sample sizes under various conditions to help researchers, but they also increase understanding of sample size requirements in single- and multiphase growth mixture models.

Original languageEnglish
Pages (from-to)457-476
Number of pages20
JournalStructural Equation Modeling
Volume19
Issue number3
DOIs
StatePublished - Jul 2012

Keywords

  • growth mixture modeling
  • longitudinal data analysis
  • multiphase longitudinal data
  • sample size
  • stage-sequential models

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