IDEAS home Printed from https://ideas.repec.org/p/mpr/mprres/eca22893011a4774852c1cc58ae05f38.html
   My bibliography  Save this paper

Statistical Power for School-Based RCTs with Binary Outcomes

Author

Listed:
  • Peter Z. Schochet

Abstract

This article develops a new approach for calculating appropriate sample sizes for school-based randomized controlled trials (RCTs) with binary outcomes using logit models with and without baseline covariates. The theoretical analysis develops sample size formulas for clustered designs in which random assignment is at the school or teacher level using generalized estimating equation methods. The key finding is that sample sizes of 40 to 60 schools that are typically included in clustered RCTs for student test score or behavioral scale outcomes will often be insufficient for binary outcomes.

Suggested Citation

  • Peter Z. Schochet, 2013. "Statistical Power for School-Based RCTs with Binary Outcomes," Mathematica Policy Research Reports eca22893011a4774852c1cc58, Mathematica Policy Research.
  • Handle: RePEc:mpr:mprres:eca22893011a4774852c1cc58ae05f38
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/full/10.1080/19345747.2012.725803#.VehDFnbD-ZV
    Download Restriction: no

    More about this item

    Keywords

    Statistical Power; Binary Outcomes; Clustered Designs; Randomized Control Trials ; RCTs; School-based;

    JEL classification:

    • I - Health, Education, and Welfare

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:mpr:mprres:eca22893011a4774852c1cc58ae05f38. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joanne Pfleiderer) or (Cindy George). General contact details of provider: http://edirc.repec.org/data/mathius.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.