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.
Original language | American English |
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Pages (from-to) | 592-603 |
Number of pages | 12 |
Journal | Structural Equation Modeling |
Volume | 31 |
Issue number | 4 |
DOIs | |
State | Published - 1 Jan 2024 |
Keywords
- Bias-adjusted three-step estimation
- covariates
- latent class analysis
- multilevel
All Science Journal Classification (ASJC) codes
- General Decision Sciences
- Modelling and Simulation
- Sociology and Political Science
- General Economics,Econometrics and Finance