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

    Landy, JF; Jia, ML; Ding, IL; Viganola, D; Tierney, W; Dreber, A; Johannesson, M; Pfeiffer, T; Ebersole, CR; Gronau, QF; Ly, A; van den Bergh, D; Marsman, M; Derks, K; Wagenmakers, E-J; Proctor, A; Bartels, DM; Bauman, CW; Brady, WJ; Cheung, F; Cimpian, A; Dohle, S; Donnellan, MB; Hahn, A; Hall, MP; Jiménez-Leal, W; Johnson, DJ; Lucas, RE; Monin, B; Montealegre, A; Mullen, E; Pang, J; Ray, J; Reinero, DA; Reynolds, J; Sowden, W; Storage, D; Su, R; Tworek, CM; Van Bavel, JJ; Walco, D; Wills, J; Xu, X; Yam, KC; Yang, X; Cunningham, WA; Schweinsberg, M; Urwitz, M; The Crowdsourcing Hypothesis Tests Collaboration; Uhlmann, EL (American Psychological Association (APA), 2020-05)

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