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Reporting Guidelines for Experimental Research: A Report from the Experimental Research Section Standards Committee

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  • Gerber, Alan
  • Arceneaux, Kevin
  • Boudreau, Cheryl
  • Dowling, Conor
  • Hillygus, Sunshine
  • Palfrey, Thomas
  • Biggers, Daniel R.
  • Hendry, David J.

Abstract

The Standards Committee of the Experimental Research Section of the American Political Science Association has produced reporting guidelines that aim to increase the clarity of experimental research reports. This paper describes the Committee's rationale for the guidelines it developed and includes our Recommended Reporting Standards for Experiments (Laboratory, Field, Survey). It begins with a content analysis of current reporting practices in published experimental research. Although researchers report most important aspects of their experimental designs and data, we find substantial omissions that could undermine the clarity of research practices and the ability of researchers to assess the validity of study conclusions. With the need for reporting guidelines established, the report describes the process the Committee used to develop the guidelines, the feedback received during the comment period, and the rationale for the final version of the guidelines.

Suggested Citation

  • Gerber, Alan & Arceneaux, Kevin & Boudreau, Cheryl & Dowling, Conor & Hillygus, Sunshine & Palfrey, Thomas & Biggers, Daniel R. & Hendry, David J., 2014. "Reporting Guidelines for Experimental Research: A Report from the Experimental Research Section Standards Committee," Journal of Experimental Political Science, Cambridge University Press, vol. 1(1), pages 81-98, April.
    • Handle: RePEc:cup:jexpos:v:1:y:2014:i:01:p:81-98_00
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    Cited by:

    1. Garret Christensen & Edward Miguel, 2018. "Transparency, Reproducibility, and the Credibility of Economics Research," Journal of Economic Literature, American Economic Association, vol. 56(3), pages 920-980, September.
    2. S. Rinken & S. Pasadas-del-Amo & M. Rueda & B. Cobo, 2021. "No magic bullet: estimating anti-immigrant sentiment and social desirability bias with the item-count technique," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(6), pages 2139-2159, December.
    3. Adams, Ian T., 2022. "Modeling Officer Perceptions of Body-worn Cameras: A National Survey," Thesis Commons fnxbg, Center for Open Science.

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