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Two-stage multilevel latent class analysis with covariates in the presence of direct effects

Bakk, Zsuzsa, Di Mari, Roberto, Oser, Jennifer and Kuha, Jouni ORCID: 0000-0002-1156-8465 (2021) Two-stage multilevel latent class analysis with covariates in the presence of direct effects. Structural Equation Modeling. ISSN 1070-5511

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Identification Number: 10.1080/10705511.2021.1980882

Abstract

In this article, we present a two-stage estimation approach applied to multilevel latent class analysis (LCA) with covariates. We separate the estimation of the measurement and structural model. This makes the extension of the structural model computationally efficient. We investigate the robustness against misspecifications of the proposed two-stage and the classical one-stage approach for models where a direct effect exists between indicators of the LC model and covariate, and the direct effect is ignored.

Item Type: Article
Official URL: https://www.tandfonline.com/toc/hsem20/current
Additional Information: © 2021 The Authors
Divisions: Statistics
Subjects: H Social Sciences > HA Statistics
Date Deposited: 27 Oct 2021 08:54
Last Modified: 11 Nov 2021 10:57
URI: http://eprints.lse.ac.uk/id/eprint/112510

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