Work

Bias-Adjusted Three-Step Multilevel Latent Class Modeling with Covariates

Year: 2024

Type: article

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.

Source: Structural Equation Modeling A Multidisciplinary Journal

DOI: 10.1080/10705511.2023.2300087

Authors: Johan Lyrvall, Zsuzsa Bakk, Jennifer Oser, Roberto Di Mari

Institutions: Leiden University, University of Catania, 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

Funder: European Commission

Award: G7505505948