Bootstrap Methods for Robust Multilevel Analysis
Yichi Zhang,
Winnie Wing-Yee Tse and
Mark H. C. Lai ()
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Yichi Zhang: University of Southern California, Department of Psychology
Winnie Wing-Yee Tse: University of Southern California, Department of Psychology
Mark H. C. Lai: University of Southern California, Department of Psychology
Chapter Chapter 13 in Dependent Data in Social Sciences Research, 2024, pp 325-353 from Springer
Abstract:
Abstract Data used in social and behavioral science research commonly have multilevel structures, where units are nested within clusters. For example, students are nested within classrooms in educational studies, or participants are repeatedly measured at different time points in longitudinal studies. Multilevel models (MLM), also known as hierarchical linear models and mixed effects models, have been widely used to account for clustered data.
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-56318-8_13
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DOI: 10.1007/978-3-031-56318-8_13
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