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Unnecessary reliance on multilevel modelling to analyse nested data in neuroscience: When a traditional summary-statistics approach suffices

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  • McNabb, Carolyn Beth

    (University of Reading)

  • Murayama, Kou

    (University of Reading)

Abstract

A simulation experiment to confirm the validity of summary-statistics approaches for analysing nested data

Suggested Citation

  • McNabb, Carolyn Beth & Murayama, Kou, 2021. "Unnecessary reliance on multilevel modelling to analyse nested data in neuroscience: When a traditional summary-statistics approach suffices," OSF Preprints h4s9f, Center for Open Science.
    • Handle: RePEc:osf:osfxxx:h4s9f
    DOI: 10.31219/osf.io/h4s9f
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    References listed on IDEAS

    as
    1. Datta, Somnath & Satten, Glen A., 2005. "Rank-Sum Tests for Clustered Data," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 908-915, September.
    2. Erika L Moen & Catherine J Fricano-Kugler & Bryan W Luikart & A James O’Malley, 2016. "Analyzing Clustered Data: Why and How to Account for Multiple Observations Nested within a Study Participant?," PLOS ONE, Public Library of Science, vol. 11(1), pages 1-17, January.
    3. Manor, Orly & Zucker, D.M.David M., 2004. "Small sample inference for the fixed effects in the mixed linear model," Computational Statistics & Data Analysis, Elsevier, vol. 46(4), pages 801-817, July.
    4. Saxonhouse, Gary R, 1976. "Estimated Parameters as Dependent Variables," American Economic Review, American Economic Association, vol. 66(1), pages 178-183, March.
    5. Viechtbauer, Wolfgang, 2010. "Conducting Meta-Analyses in R with the metafor Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 36(i03).
    6. Achen, Christopher H., 2005. "Two-Step Hierarchical Estimation: Beyond Regression Analysis," Political Analysis, Cambridge University Press, vol. 13(4), pages 447-456.
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    Cited by:

    1. Cassidy R. LoParco & Tzuan A. Chen & Isabel Martinez Leal & Maggie Britton & Brian J. Carter & Virmarie Correa-Fernández & Bryce Kyburz & Teresa Williams & Kathleen Casey & Anastasia Rogova & Hsien-Ch, 2022. "Organization-Level Factors Associated with Changes in the Delivery of the Five A’s for Smoking Cessation following the Implementation of a Comprehensive Tobacco-Free Workplace Program within Substance," IJERPH, MDPI, vol. 19(19), pages 1-13, September.

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