Two-step multilevel latent class analysis in the presence of measurement non-equivalence

Lyrvall, Johan, Kuha, Jouni ORCID: 0000-0002-1156-8465 and Oser, Jennifer (2025) Two-step multilevel latent class analysis in the presence of measurement non-equivalence. Structural Equation Modeling. ISSN 1070-5511

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Abstract

We consider estimation of two-level latent class models for clustered data, when the measurement model for the observed measurement items includes non-equivalence of measurement with respect to some observed covariates. The parameters of interest are coefficients in structural models for the latent classes given covariates. We propose a two-step method of estimation. This extends previously proposed methods of two-step estimation for models without non-equivalence of measurement by specifying the model used in the first step in such a way that it correctly accounts for non-equivalence. The properties of these two-step estimators are examined using simulation studies and an applied example.

Item Type:	Article
Additional Information:	© 2025 The Author(s)
Divisions:	Statistics
Subjects:	Q Science > QA Mathematics
Date Deposited:	13 May 2025 08:30
Last Modified:	13 May 2025 19:27
URI:	http://eprints.lse.ac.uk/id/eprint/128112

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