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Effect Sizes in Cluster-Randomized Designs

Author

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  • Larry V. Hedges

Abstract

Multisite research designs involving cluster randomization are becoming increasingly important in educational and behavioral research. Researchers would like to compute effect size indexes based on the standardized mean difference to compare the results of cluster-randomized studies (and corresponding quasi-experiments) with other studies and to combine information across studies in meta-analyses. This article addresses the problem of defining effect sizes in multilevel designs and computing estimates of those effect sizes and their standard errors from information that is likely to be reported in journal articles. Three effect sizes are defined corresponding to different standardizations. Estimators of each effect size index are also presented along with their sampling distributions (including standard errors).

Suggested Citation

  • Larry V. Hedges, 2007. "Effect Sizes in Cluster-Randomized Designs," Journal of Educational and Behavioral Statistics, , vol. 32(4), pages 341-370, December.
  • Handle: RePEc:sae:jedbes:v:32:y:2007:i:4:p:341-370
    DOI: 10.3102/1076998606298043
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    Cited by:

    1. Jens Dietrichson & Ida Lykke Kristiansen & Bjørn A. Viinholt, 2020. "Universal Preschool Programs And Long‐Term Child Outcomes: A Systematic Review," Journal of Economic Surveys, Wiley Blackwell, vol. 34(5), pages 1007-1043, December.
    2. Xiao, ZhiMin & Higgins, Steve & Kasim, Adetayo, 2017. "Impact Visualisation in Educational Interventions," SocArXiv e4prv, Center for Open Science.
    3. Steinert, Janina Isabel & Cluver, Lucie Dale & Meinck, Franziska & Doubt, Jenny & Vollmer, Sebastian, 2018. "Household economic strengthening through financial and psychosocial programming: Evidence from a field experiment in South Africa," Journal of Development Economics, Elsevier, vol. 134(C), pages 443-466.

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