1. Crowdsourcing hypothesis tests:Making transparent how design choices shape research results
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Landy, Justin F., Miaolei (Liam) Jia, Isabel, Ding, Domenico, Viganola, Warren, Tierney, Anna, Dreber, Magnus, Johannesson, Thomas, Pfeiffer, Ebersole, Charles R., Gronau, Quentin F., Alexander, Ly, Don van den Bergh, Maarten, Marsman, Eric-Jan, Wagenmakers, Bartels, Daniel M., Bauman, Christopher W., William, Brady, Felix, Cheung, Andrei, Cimpian, Simone, Dohle, Brent Donnellan, M., Adam, Hahn, Michael, Hall, William, Jiménez-Leal, Johnson, David J., Lucas, Richard E., Benoît, Monin, Andres, Montealegre, Elizabeth, Mullen, Jun, Pang, Jennifer, Ray, Reinero, Diego A., Jesse, Reynolds, Walter, Sowden, Daniel, Storage, Runkun, Su, Tworek, Christina M., Van Bavel, Jay J., Daniel, Walco, Julian, Wills, Xiaobing, Xu, Kai Chi Yam, Xiaoyu, Yang, Martin, Schweinsberg, Molly, Urwitz, Matúš, Adamkovič, Ravin, Alaei, Albers, Casper J., Aurélien, Allard, Anderson, Ian A., Andreychik, Michael R., Peter, Babinčák, Baker, Bradley J., Gabriel, Baník, Ernest, Baskin, Jozef, Bavolar, Berkers, Ruud M. W. J., Michał, Białek, Joel, Blanke, Johannes, Breuer, Ambra, Brizi, Brown, Stephanie E. V., Florian, Brühlmann, Hendrik, Bruns, Leigh, Caldwell, Jean-François, Campourcy, Chan, Eugene Y., Yen-Ping, Chang, Cheung, Benjamin Y., Alycia, Chin, Cho, Kit W., Simon, Columbus, Paul, Conway, Corretti, Conrad A., Craig, Adam W., Curran, Paul G., Danvers, Alexander F., Dawson, Ian G. J., Day, Martin V., Erik, Dietl, Doerflinger, Johannes T., Alice, Dominici, Vilius, Dranseika, Edelsbrunner, Peter A., Edlund, John E., Matthew, Fisher, Anna, Fung, Oliver, Genschow, Timo, Gnambs, Goldberg, Matthew H., Lorenz, Graf-Vlachy, Hafenbrack, Andrew C., Sebastian, Hafenbrädl, Andree, Hartanto, Heck, Patrick R., Heffner, Joseph P., Joseph, Hilgard, Felix, Holzmeister, Horchak, Oleksandr V., Huang, Tina S. -T., Joachim, Hüffmeier, Sean, Hughes, Ian, Hussey, Roland, Imhoff, Bastian, Jaeger, Konrad, Jamro, Johnson, Samuel G. B., Andrew, Jones, Lucas, Keller, Olga, Kombeiz, Krueger, Lacy E., Anthony, Lantian, Laplante, Justin P., Lazarevic, Ljiljana B., Jonathan, Leclerc, Nicole, Legate, Leonhardt, James M., Leung, Desmond W., Levitan, Carmel A., Hause, Lin, Qinglan, Liu, Marco Tullio Liuzza, Locke, Kenneth D., Albert L., Ly, Maceacheron, Melanie D., Madan, Christopher R., Harry, Manley, Silvia, Mari, Marcel, Martončik, Mclean, Scott L., Jonathon, Mcphetres, Mercier, Brett G., Corinna, Michels, Mullarkey, Michael C., Musser, Erica D., Ladislas, Nalborczyk, Gustav, Nilsonne, Otis, Nicholas G., Otner, Sarah M. G., Otto, Philipp E., Oscar, Oviedo-Trespalacios, Mariola Paruzel- Czachura, Francesco, Pellegrini, Pereira, Vitor M. D., Hannah, Perfecto, Gerit, Pfuhl, Phillips, Mark H., Ori, Plonsky, Pozzi, Maura, Purić, Danka B., Brett, Raymond-Barker, Redman, David E., Reynolds, Caleb J., Ivan, Ropovik, Lukas, Röseler, Ruessmann, Janna K., Ryan, William H., Nika, Sablaturova, Schuepfer, Kurt J., Astrid, Schütz, Miroslav, Sirota, Matthias, Stefan, Stocks, Eric L., Strosser, Garrett L., Suchow, Jordan W., Anna, Szabelska, Tey, Kian-Siong S., Leonid, Tiokhin, Jais, Troian, Till, Utesch, Alejandro, Vásquez-Echeverría, Leigh Ann Vaughn, Mark, Verschoor, Bettina von Helversen, Pascal, Wallisch, Weissgerber, Sophia C., Wichman, Aaron L., Woike, Jan K., Iris, Žeželj, Zickfeld, Janis H., Yeonsin, Ahn, Blaettchen, Philippe F., Kang, Xi, Yoo Jin Lee, Parker, Philip M., Parker, Paul A., Song, Jamie S., May-Anne, Very, Lynn, Wong, Uhlmann, Eric L., Psychometrics and Statistics, The Crowdsourcing Hypothesis Tests Collaboration [Member of the MPIB: Jan K. Woike], Laboratoire Parisien de Psychologie Sociale (LAPPS), Université Paris Nanterre (UPN)-Université Paris 8 Vincennes-Saint-Denis (UP8), Human Technology Interaction, Psychologische Methodenleer (Psychologie, FMG), Psychology Other Research (FMG), Université Paris 8 Vincennes-Saint-Denis (UP8)-Université Paris Nanterre (UPN), Organizational Psychology, Department of Social Psychology, Landy, J, Jia, M, Ding, I, Viganola, D, Tierney, W, Dreber, A, Johannesson, M, Pfeiffer, T, Ebersole, C, Gronau, Q, Ly, A, van den Bergh, D, Marsman, M, Derks, K, Wagenmakers, E, Proctor, A, Bartels, D, Bauman, C, Brady, W, Cheung, F, Cimpian, A, Dohle, S, Donnellan, M, Hahn, A, Hall, M, Jiménez-Leal, W, Johnson, D, Lucas, R, Monin, B, Montealegre, A, Mullen, E, Pang, J, Ray, J, Reinero, D, Reynolds, J, Sowden, W, Storage, D, Su, R, Tworek, C, Van Bavel, J, Walco, D, Wills, J, Xu, X, Yam, K, Yang, X, Cunningham, W, Schweinsberg, M, Urwitz, M, The Crowdsourcing Hypothesis Tests, C, Uhlmann, E, Mari, S, and Imperial College London
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Research design ,1ST OFFERS ,1702 Cognitive Sciences ,Social Sciences ,050109 social psychology ,Ciências Sociais::Psicologia [Domínio/Área Científica] ,CONCEPTUAL REPLICATIONS ,Random Allocation ,Empirical research ,Crowdsourcing Hypothesis Tests Collaboration ,Psychology ,research robustness ,Psychology(all) ,General Psychology ,ComputingMilieux_MISCELLANEOUS ,Marketing ,05 social sciences ,SCIENCE ,Settore M-PSI/05 - PSICOLOGIA SOCIALE ,scientific transparency ,Research Design ,VDP::Samfunnsvitenskap: 200::Psykologi: 260 ,[SCCO.PSYC]Cognitive science/Psychology ,Crowdsourcing ,Cognitive Sciences ,crowdsourcing ,Cognitive psychology ,Adult ,replication ,Conceptual replications ,Social Psychology ,Implicit cognition ,VDP::Social science: 200::Psychology: 260 ,Bayesian probability ,forecasting ,stimulus sampling ,INDIVIDUAL-DIFFERENCES ,Scientific transparency ,Consistency (negotiation) ,History and Philosophy of Science ,Psychology, Multidisciplinary ,IMPLICIT ,Humans ,conceptual replications, crowdsourcing, forecasting, research robustness, scientific transparency ,0501 psychology and cognitive sciences ,ATTITUDES ,1505 Marketing ,METAANALYSIS ,M-PSI/05 - PSICOLOGIA SOCIALE ,Statistical hypothesis testing ,CONSEQUENCES ,business.industry ,Crowdsourced testing ,SOCIAL-PSYCHOLOGY ,M-PSI/03 - PSICOMETRIA ,1701 Psychology ,REPLICABILITY ,Research robustness ,business ,Forecasting - Abstract
©American Psychological Association, 2020. This paper is not the copy of record and may not exactly replicate the authoritative document published in the APA journal. Please do not copy or cite without author's permission. The final article is available, upon publication, at: https://doi.apa.org/doi/10.1037/bul0000220 To what extent are research results influenced by subjective decisions that scientists make as they design studies? Fifteen research teams independently designed studies to answer five original research questions related to moral judgments, negotiations, and implicit cognition. Participants from 2 separate large samples (total N 15,000) were then randomly assigned to complete 1 version of each study. Effect sizes varied dramatically across different sets of materials designed to test the same hypothesis: Materials from different teams rendered statistically significant effects in opposite directions for 4 of 5 hypotheses, with the narrowest range in estimates being d = 0.37 to 0.26. Meta-analysis and a Bayesian perspective on the results revealed overall support for 2 hypotheses and a lack of support for 3 hypotheses. Overall, practically none of the variability in effect sizes was attributable to the skill of the research team in designing materials, whereas considerable variability was attributable to the hypothesis being tested. In a forecasting survey, predictions of other scientists were significantly correlated with study results, both across and within hypotheses. Crowdsourced testing of research hypotheses helps reveal the true consistency of empirical support for a scientific claim.
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- 2020