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Comparing standard deviation effects across contexts

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  • Ben Ost
  • Anuj Gangopadhyaya
  • Jeffrey C. Schiman

Abstract

Studies using tests scores as the dependent variable often report point estimates in student standard deviation units. We note that a standard deviation is not a standard unit of measurement since the distribution of test scores can vary across contexts. As such, researchers should be cautious when interpreting differences in the numerical size of point estimates when comparing across contexts. We empirically assess the importance of this issue both within the United States and internationally.

Suggested Citation

  • Ben Ost & Anuj Gangopadhyaya & Jeffrey C. Schiman, 2017. "Comparing standard deviation effects across contexts," Education Economics, Taylor & Francis Journals, vol. 25(3), pages 251-265, May.
    • Handle: RePEc:taf:edecon:v:25:y:2017:i:3:p:251-265
    DOI: 10.1080/09645292.2016.1203868
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    Cited by:

    1. M. Perez-Alvarez & M. Favara, 2023. "Children having children: early motherhood and offspring human capital in India," Journal of Population Economics, Springer;European Society for Population Economics, vol. 36(3), pages 1573-1606, July.
    2. Jeffrey Penney, 2023. "Cautions when normalizing the dependent variable in a regression as a z‐score," Economic Inquiry, Western Economic Association International, vol. 61(2), pages 402-412, April.
    3. Alex Hollingsworth & Mike Huang & Ivan J. Rudik & Nicholas J. Sanders, 2020. "A Thousand Cuts: Cumulative Lead Exposure Reduces Academic Achievement," NBER Working Papers 28250, National Bureau of Economic Research, Inc.
    4. Sam Sims & Jake Anders & Matthew Inglis & Hugues Lortie-Forgues & Ben Styles & Ben Weidmann, 2023. "Experimental education research: rethinking why, how and when to use random assignment," CEPEO Working Paper Series 23-07, UCL Centre for Education Policy and Equalising Opportunities, revised Aug 2023.

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