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Multilevel Mediation Modeling in Group-Based Intervention Studies

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  • Jennifer L. Krull

    (Arizona State University)

  • David P. Mackinnon

    (Arizona State University)

Abstract

This article proposes and evaluates a method to test for mediation in multilevel data sets formed when an intervention administered to intact groups is designed to produce change in individual mediator and outcome variables. Simulated data of this form were used to compare ordinary least squares (OLS) and two multilevel estimators of the mediated effect. OLS and multilevel standard error approximations were also evaluated and recommendations given for optimal estimator choice. These methods were applied to data from an existing substance use intervention to show the impact multilevel mediation modeling can have on the conclusions drawn from real-world evaluation studies.

Suggested Citation

  • Jennifer L. Krull & David P. Mackinnon, 1999. "Multilevel Mediation Modeling in Group-Based Intervention Studies," Evaluation Review, , vol. 23(4), pages 418-444, August.
    • Handle: RePEc:sae:evarev:v:23:y:1999:i:4:p:418-444
    DOI: 10.1177/0193841X9902300404
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    References listed on IDEAS

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    1. Moulton, Brent R., 1986. "Random group effects and the precision of regression estimates," Journal of Econometrics, Elsevier, vol. 32(3), pages 385-397, August.
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    2. Bernburg, Jon Gunnar & Thorlindsson, Thorolfur & Sigfusdottir, Inga D., 2009. "The neighborhood effects of disrupted family processes on adolescent substance use," Social Science & Medicine, Elsevier, vol. 69(1), pages 129-137, July.
    3. Echchakoui, Saïd, 2015. "Drivers of sales force equity in the service industry," Journal of Retailing and Consumer Services, Elsevier, vol. 27(C), pages 140-153.
    4. Janardhanan, Niranjan S. & Lewis, Kyle & Reger, Rhonda K. & Stevens, Cynthia K., 2020. "Getting to know you: motivating cross-understanding for improved team and individual performance," LSE Research Online Documents on Economics 101239, London School of Economics and Political Science, LSE Library.
    5. Hyewon Kong & Joo-Eon Jeon, 2018. "Daily Emotional Labor, Negative Affect State, and Emotional Exhaustion: Cross-Level Moderators of Affective Commitment," Sustainability, MDPI, vol. 10(6), pages 1-13, June.
    6. Daniel Z. Levin & Jorge Walter & J. Keith Murnighan, 2011. "Dormant Ties: The Value Of Reconnecting," Organization Science, INFORMS, vol. 22(4), pages 923-939, August.
    7. Ying Liu & Fang Luo & Danhui Zhang & Hongyun Liu, 2017. "Comparison and robustness of the REML, ML, MIVQUE estimators for multi-level random mediation model," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(9), pages 1644-1661, July.
    8. Qin Gao & Fuhua Zhai, 2017. "Public Assistance, Economic Prospect, and Happiness in Urban China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 132(1), pages 451-473, May.

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