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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
- Nova Southeastern University
- University of Warwick
- National University of Singapore
- George Mason University
- University of Limerick
- Stockholm School of Economics
- Massey University, Auckland
- West Virginia University
- Amsterdam University of Applied Sciences
- Nyenrode Business Universiteit
- Loyola University Chicago
- University of California Santa Barbara
- New York University Shanghai
- University of Hong Kong
- University of Cologne
- Michigan State University
- Social Cognition Center Cologne
- Central Michigan University
- Universidad de Los Andes
- University of Maryland, Baltimore
- Stanford University
- San Jose State University
- Renmin University of China
- University of Denver
- HarrisX
- New York Yankees
- Hainan University
- Tsinghua University
- University of Toronto
- Toronto Western Hospital
- ESMT Berlin
- INSEAD
Research output: Contribution to journal › Article › peer-review
98
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