Crowdsourcing hypothesis tests: making transparent how design choices shape research results.

  • Elizabeth Mullen
  • , Jun Pang
  • , Jennifer Ray
  • , Diego A. Reinero
  • , Jesse Reynolds
  • , Walter Sowden
  • , Daniel Storage
  • , Runkun Su
  • , Christina M. Tworek
  • , Jay J. Van Bavel
  • , Daniel Walco
  • , Julian Wills
  • , Xiaobing Xu
  • , Kai Chi Yam
  • , Xiaoyu Yang
  • , William A. Cunningham
  • , Martin Schweinsberg
  • , Molly Urwitz
  • , The Crowdsourcing Hypothesis Tests Collaboration
  • , Sarah M. G. Otner
  • Eric L. Uhlmann, Eric-Jan Wagenmakers, Andrew Proctor, Daniel M. Bartels, Christopher W. Bauman, William J. Brady, Felix Cheung, Andrei Cimpian, Simone Dohle, M. Brent Donnellan, Adam Hahn, Michael P. Hall, William Jiménez-Leal, David J. Johnson, Richard E. Lucas, Beno├«t Monin, Andres Montealegre, Justin F. Landy, Miaolei (Liam) Jia, Isabel L. Ding, Domenico Viganola, Warren Tierney, Anna Dreber, Magnus Johannesson, Thomas Pfeiffer, Charles R. Ebersole, Quentin F. Gronau, Alexander Ly, Don van den Bergh, Maarten Marsman, Koen Derks

    Research output: Contribution to journalArticlepeer-review

    Original languageEnglish
    Pages (from-to)451-479
    JournalPsychological Bulletin
    Volume146
    Issue number5
    Early online date16 Jan 2020
    DOIs
    Publication statusPublished - May 2020

    Bibliographical note

    Note: This research was funded by Institut Européen d'Administration des Affaires, Jan Wallanders och Tom Hedelius Stiftelse samt Tore Browaldhs Stiftelse, Knut och Alice Wallenbergs Stiftelse, Austrian Science Fund [grant number FWF, SFB F63], Swedish Foundation for Humanities and Social Sciences, and the Marsden Fund [grant number 16-UOA-190] and [grant number 17-MAU-133].

    Keywords

    • Business and management studies

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