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Non-equivalence of measurement in latent variable modeling of multigroup data: a sensitivity analysis

Kuha, Jouni ORCID: 0000-0002-1156-8465 and Moustaki, Irini (2015) Non-equivalence of measurement in latent variable modeling of multigroup data: a sensitivity analysis. Psychological Methods, 20 (4). pp. 523-536. ISSN 1082-989X

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Identification Number: 10.1037/met0000031


In studies of multiple groups of respondents, such as cross-national surveys and cross-cultural assessments in psychological or educational testing, an important methodological consideration is the comparability or \equivalence" of measurement across the groups. Ideally full equivalence would hold, but very often it does not. If non-equivalence of measurement is ignored when it is present, substantively interesting comparisons between the groups may become distorted. We consider this question in multigroup latent variable modeling of multiple-item scales, specifically latent trait models for categorical items. We use numerical sensitivity analyses to examine the nature and magnitude of the distortions in different circumstances, and the factors which affect them. The results suggest that estimates of multigroup latent variable models can be sensitive to assumptions about measurement, in that non-equivalence of measurement does not need to be extreme before ignoring it may substantially affect cross-group comparisons. We also discuss the implications of such findings on the analysis of large comparative studies.

Item Type: Article
Official URL:
Additional Information: © 2015 American Psychological Association
Divisions: Methodology
Subjects: B Philosophy. Psychology. Religion > BF Psychology
Q Science > QA Mathematics
Date Deposited: 22 May 2015 15:08
Last Modified: 19 Jun 2024 07:12
Projects: RES-239-25-0022
Funders: Economic and Social Research Council

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