ArticleStructural equation modeling : a multidisciplinary journal2024
Bias-Adjusted Three-Step Multilevel Latent Class Modeling with Covariates.
Article in Structural equation modeling : a multidisciplinary journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Heterogeneity of Within-Day Simultaneous Alcohol and Cannabis Use Behaviors Among Young Adults: A Multilevel Latent Class Analysis.Journal of studies on alcohol and drugs · 2026Article
- Unveiling hidden heterogeneity and inequalities in the continuum of care for reproductive, maternal, and child health services in sub-Saharan Africa: A multilevel latent class analysis approach.Global epidemiology · 2026Article
- BCH-GEE Approach to Examine the Association Between Time-Varying Food Environment Classes and Multi-Level Health Outcomes.Statistics in medicine · 2026Article
- The interplay between job demands & resources and mental health: a novel approach using hidden Markov models.Journal of behavioral medicine · 2026Article
- Public understanding of palliative care and preferences for place of end-of-life care and death: A national population-based latent class analysis.Palliative care and social practice · 2026Article
- Two-Step Multilevel Latent Class Analysis in the Presence of Measurement Non-Equivalence.Structural equation modeling : a multidisciplinary journal · 2025Article
- Identification of latent classes in mood and anxiety disorders and their transitions over time: a follow-up study in the adult general population.Psychological medicine · 2024Article
- Bias-Adjusted Three-Step Multilevel Latent Class Modeling with Covariates.Structural equation modeling : a multidisciplinary journal · 2024Article
- How to explore within-person and between-person measurement model differences in intensive longitudinal data with the R package lmfa.Behavior research methods · 2023Article
- Latent Markov Latent Trait Analysis for Exploring Measurement Model Changes in Intensive Longitudinal Data.Evaluation & the health professions · 2021Article
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Authors and funding
4 authors.
Funding
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Abstract
We present a bias-adjusted three-step estimation approach for multilevel latent class models (LC) with covariates. The proposed approach involves (1) fitting a single-level measurement model while ignoring the multilevel structure, (2) assigning units to latent classes, and (3) fitting the multilevel model with the covariates while controlling for measurement error introduced in the second step. Simulation studies and an empirical example show that the three-step method is a legitimate modeling option compared to the existing one-step and two-step methods.
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