Publication
Crowdsourcing hypothesis tests: Making transparent how design choices shape research results.
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, 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, Benoît Monin, Andres Montealegre, 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, Eric L. Uhlmann
Psychological Bulletin, May 2020, American Psychological Association (APA)
DOI: 10.1037/bul0000220