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Replication Data for: Scale length does matter: Recommendations for Measurement Invariance Testing with Categorical Factor Analysis and Item Response Theory Approaches

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DataverseNL2022-12-12 更新2026-05-11 收录
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https://dataverse.nl/citation?persistentId=doi:10.34894/K2ZKED
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资源简介:
These files contain the code and data used to evaluate the impact of MG-CCFA- and MG-IRT-based hypotheses and testing strategies on the power to detect violations of MI, for which we performed two simulation studies. In the first study, an invariance scenario was simulated where parameters were invariant between groups. The second study simulated a non-invariance scenario where model parameters varied between groups.
提供机构:
Tilburg University; KU Leuven
创建时间:
2022-01-01
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