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Standards for Experimental Research: Encouraging a Better Understanding of Experimental Methods

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  • Mutz, Diana C.
  • Pemantle, Robin

Abstract

In this essay, we closely examine three aspects of the Reporting Guidelines for this journal, as described by Gerber et al. (2014, Journal of Experimental Political Science 1(1): 81–98) in the inaugural issue of the Journal of Experimental Political Science. These include manipulation checks and when the reporting of response rates is appropriate. The third, most critical, issue concerns the committee's recommendations for detecting errors in randomization. This is an area where there is evidence of widespread confusion about experimental methods throughout our major journals. Given that a goal of the Journal of Experimental Political Science is promoting best practices and a better understanding of experimental methods across the discipline, we recommend changes to the Standards that will allow the journal to play a leading role in correcting these misunderstandings.

Suggested Citation

  • Mutz, Diana C. & Pemantle, Robin, 2015. "Standards for Experimental Research: Encouraging a Better Understanding of Experimental Methods," Journal of Experimental Political Science, Cambridge University Press, vol. 2(2), pages 192-215, January.
    • Handle: RePEc:cup:jexpos:v:2:y:2015:i:02:p:192-215_00
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    Cited by:

    1. Achilleas Vassilopoulos & Andreas C. Drichoutis & Rodolfo M. Nayga, Jr, 2018. "Loss Aversion, Expectations and Anchoring in the BDM Mechanism," Working Papers 2018-1, Agricultural University of Athens, Department Of Agricultural Economics.
    2. Mol, Jantsje M. & Botzen, W. J. Wouter & Blasch, Julia E., 2020. "Risk reduction in compulsory disaster insurance: Experimental evidence on moral hazard and financial incentives," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 84(C).
    3. Drichoutis, Andreas C. & Nayga, Rodolfo M., 2022. "Game form recognition in preference elicitation, cognitive abilities, and cognitive load," Journal of Economic Behavior & Organization, Elsevier, vol. 193(C), pages 49-65.
    4. Andreas C Drichoutis & Rodolfo M Nayga, 2020. "Economic Rationality under Cognitive Load," The Economic Journal, Royal Economic Society, vol. 130(632), pages 2382-2409.
    5. Luke Fowler & Stephen Utych, 2021. "Are people better employees than machines? Dehumanizing language and employee performance appraisals," Social Science Quarterly, Southwestern Social Science Association, vol. 102(4), pages 2006-2019, July.
    6. Andreas C. Drichoutis & Stathis Klonaris & Georgia Papoutsi, 2016. "Do good things come in small packages? Willingness to pay for pomegranate wine and bottle size effects," Working Papers 2016-2, Agricultural University of Athens, Department Of Agricultural Economics.
    7. 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.
    8. Mombeuil, Claudel & Uhde, Helena, 2021. "Relative convenience, relative advantage, perceived security, perceived privacy, and continuous use intention of China’s WeChat Pay: A mixed-method two-phase design study," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).

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