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Multilevel Power Analysis

Multilevel power analysis is a sample-size planning procedure designed for hierarchical, clustered, or longitudinal study designs in which observations are nested within higher-level units such as students within schools or patients within clinics. Formalized in the multilevel modeling literature by Snijders and Bosker (1993, expanded 2012) and Hox, Moerbeek, and van de Schoot (2017), it accounts for the intraclass correlation (ICC) and the design effect that arises when data are clustered, ensuring that both the number of clusters and the cluster size are adequate to detect a target effect.

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Power Analysis for Multilevel and Mixed-Effects Models

Dossier de méthode taxonomique · hypothesis-test / statistics

Snijders, T.A.B. & Bosker, R.J. (2012). Multilevel Analysis: An Introduction to Basic and Advanced Multilevel Modeling (2nd ed.). SAGE. · ISBN 978-1849202015
Hox, J.J., Moerbeek, M. & van de Schoot, R. (2017). Multilevel Analysis: Techniques and Applications (3rd ed.). Routledge. · DOI 10.4324/9781315650982

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Used in the same domainMixed Effects Modelmachine-suggested · Relational suggestion, not evidence.Same method familyOne-way ANOVAmachine-suggested · Relational suggestion, not evidence.Same method familyPower Analysis for ANOVAmachine-suggested · Relational suggestion, not evidence.Same method familyPower Analysis for Regressionmachine-suggested · Relational suggestion, not evidence.