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Journal Article

Landy, Justin F. ORCID: 0000-0002-4082-9505, Jia, Miaolei (Liam), Ding, Isabel L., Viganola, Domenico, Tierney, Warren, Dreber, Anna, Johannesson, Magnus, Pfeiffer, Thomas, Ebersole, Charles R., Gronau, Quentin F., Ly, Alexander, van den Bergh, Don, Marsman, Maarten, Derks, Koen, Wagenmakers, Eric-Jan, Proctor, Andrew, Bartels, Daniel M., Bauman, Christopher W., Brady, William J., Cheung, Felix, Cimpian, Andrei, Dohle, Simone, Donnellan, M. Brent, Hahn, Adam, Hall, Michael P., Jiménez-Leal, William, Johnson, David J., Lucas, Richard E., Monin, Benoît, Montealegre, Andres, Mullen, Elizabeth, Pang, Jun, Ray, Jennifer, Reinero, Diego A., Reynolds, Jesse, Sowden, Walter, Storage, Daniel, Su, Runkun, Tworek, Christina M., Van Bavel, Jay J., Walco, Daniel, Wills, Julian, Xu, Xiaobing, Yam, Kai Chi, Yang, Xiaoyu, Cunningham, William A., Schweinsberg, Martin, Urwitz, Molly, The Crowdsourcing Hypothesis Tests Collaboration, and Uhlmann, Eric L. (2020). Crowdsourcing hypothesis tests: Making transparent how design choices shape research results. Psychological Bulletin, 146 (5). pp. 451-479. Washington: American Psychological Association. ISSN 0033-2909

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