Publikation: On the Meaning of Measurement Invariance in Social Relations : Confirmatory Factor Analysis for Relative Variance Parameters
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2025
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Structural Equation Modeling: A Multidisciplinary Journal. Taylor & Francis. ISSN 1070-5511. eISSN 1532-8007. Verfügbar unter: doi: 10.1080/10705511.2025.2492260
Zusammenfassung
We present and illustrate meaningful ways to assess relative variance parameters (variance components) in multiple indicator social relations—confirmatory factor analysis models for dyadic round-robin data where different types of measurement invariance may hold. With simulation studies, we investigate under which conditions of sample-size, true parameter values, and (mis-)specified invariance restrictions estimation issues as well as biased and inaccurate parameter estimates occur. Estimation issues are commonly observed in realistic data situations with low person-level variances and comparably few members per round-robin group. However, such issues can be effectively avoided by (falsely) implementing invariance restrictions across factor loadings without severely biasing relative variances for the sum-score and reciprocity correlations. Implications and limitations are discussed.
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Fachgebiet (DDC)
150 Psychologie
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Dyadic data, measurement invariance, relative variances, round-robin, social relations
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JENDRYCZKO, David, Fridtjof W. NUSSBECK, 2025. On the Meaning of Measurement Invariance in Social Relations : Confirmatory Factor Analysis for Relative Variance Parameters. In: Structural Equation Modeling: A Multidisciplinary Journal. Taylor & Francis. ISSN 1070-5511. eISSN 1532-8007. Verfügbar unter: doi: 10.1080/10705511.2025.2492260BibTex
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title={On the Meaning of Measurement Invariance in Social Relations : Confirmatory Factor Analysis for Relative Variance Parameters},
year={2025},
doi={10.1080/10705511.2025.2492260},
issn={1070-5511},
journal={Structural Equation Modeling: A Multidisciplinary Journal},
author={Jendryczko, David and Nussbeck, Fridtjof W.}
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