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Christian L. L. Strauss authored a study exploring the overlap between bifactor and multilevel confirmatory factor analysis models. The 28.4 KB document, last updated on May 1, 2026, uses simulation and empirical analysis to demonstrate that bifactor solutions can emerge as artifacts of unmodeled data clustering. The work encourages researchers to consider multilevel measurement models as alternative explanations for bifactor structures.
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