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Direct linkHuang, Francis L.; Cornell, Dewey G. – Journal of Psychoeducational Assessment, 2016
Advances in multilevel modeling techniques now make it possible to investigate the psychometric properties of instruments using clustered data. Factor models that overlook the clustering effect can lead to underestimated standard errors, incorrect parameter estimates, and model fit indices. In addition, factor structures may differ depending on…
Descriptors: Hierarchical Linear Modeling, Factor Analysis, Factor Structure, Measures (Individuals)
