Work

Two-Step Multilevel Latent Class Analysis in the Presence of Measurement Non-Equivalence

Year: 2025

Type: article

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.

Source: Structural Equation Modeling A Multidisciplinary Journal

DOI: 10.1080/10705511.2025.2490946

Authors: Johan Lyrvall, Jouni Kuha, Jennifer Oser

Institutions: University of Catania, London School of Economics and Political Science, Ben-Gurion University of the Negev

Language: English

Topic: Psychometric Methodologies and Testing

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: hybrid

Funders: European Research Council, HORIZON EUROPE European Research Council

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