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Multilevel Factor Mixture Modeling for Within-Level Constructs: A Simulation Study

delete2025-08-25
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PRE
AI
E
Eunsook Kim *
C
Chunhua Cao
Y
Yan Wang
DOI：10.1080/10705511.2025.2543288delete
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Abstract

Abstract

En 中文
Multilevel factor mixture modeling (ML FMM) allows researchers to identify unobserved heterogeneous groups at both within and between levels. However, most FMM applications using multilevel data ignore nesting, using single-level FMM. We investigate the appropriateness of single-level FMM when the multilevel construct is conceptualized at the within level. Furthermore, the efficacy of ML FMM in detecting heterogeneity at different levels is examined through Monte Carlo simulation. The single-level FMM can be used for within constructs, but ML FMM offers higher class enumeration and classification accuracy. We discuss the dynamics of within and between classes of multilevel data and provide practical guidelines.
Keywords:
Factor analysis
information criteria
latent class
mixture
model selection
multilevel

Journal

S
Structural Equation Modeling-A Multidisciplinary Journal
IF:
3.2
Papers:
79
Citations:
2.1W

Organization

No organization information available