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Direct linkLuo, Wen; Kwok, Oi-Man – Multivariate Behavioral Research, 2009
Cross-classified random-effects models (CCREMs) are used for modeling nonhierarchical multilevel data. Misspecifying CCREMs as hierarchical linear models (i.e., treating the cross-classified data as strictly hierarchical by ignoring one of the crossed factors) causes biases in the variance component estimates, which in turn, results in biased…
Descriptors: Models, Bias, Data, Classification
