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    The Impact of Ignoring a Crossed Factor in Cross-Classified Multilevel Modeling
    with Yoonhwa Jeong and Sehee Hong
    Frontiers in Psychology 12. 2021.
    The present study investigated estimate biases in cross-classified random effect modeling and hierarchical linear modeling when ignoring a crossed factor in CCREM considering the impact of the feeder and the magnitude of coefficients. There were six simulation factors: the magnitude of coefficient, the correlation between the level 2 residuals, the number of groups, the average number of individuals sampled from each group, the intra-unit correlation coefficient, and the number of feeders. The t…Read more