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Exploring the Performance of Latent Moderated Structural Equations Approach for Ordered-Categorical Items

Bibliographic Data

ID21641809
AuthorsEzgi Aytürk (0000-0001-6509-4288, Fordham University, corresponding author), Heining Cham (0000-0002-2933-056X, Fordham University), Patricia A Jennings (0000-0003-1026-1362, University of Virginia), Joshua L Brown (0000-0003-0441-4334, Fordham University)
Year2021
Volume28
Issue3
Pages410-422
Publication date2021-05-04
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueStructural Equation Modeling: A Multidisciplinary Journal (JOURNAL)
Journal identifiersISSN: 1070-5511 • E-ISSN: 1532-8007
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/10705511.2020.1810047
OpenAlexW3106635845
LanguageEN
Citations received8
References cited27

Latent moderated structural equations (LMS) is a popular method in estimating latent interaction effects. Mplus has implemented a variant of LMS (LMS-cat) that uses categorical confirmatory factor analysis to handle ordered-categorical indicators. We conducted a simulation study to examine the performance of the LMS-cat in varying sample size, interaction effect size, missing data rate and scenario, as well as number and symmetry of item response category conditions. Results showed that the LMS-cat is an excellent method in estimating structural parameters (i.e., interaction effect and lower-order effects). However, it could produce highly biased measurement parameters (i.e., factor loadings, and item category thresholds). We illustrated the LMS-cat by testing the interaction effect between participation in teachers` support activities and that of teachers` counterfactual activities (meditation, meditative movement, vigorous physical exercise) on teachers` sense of self-efficacy

Categorical variable · Confirmatory factor analysis · Counterfactual thinking · Econometrics · Interaction · Latent variable · Statistics · Structural equation modeling · Advanced Statistical Modeling Techniques · Behavioral Health and Interventions · Mathematics · Psychology · Social Psychology

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Unique citing works8
Citations per year2
Citation span2022 - 2025 (4)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 8

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