Data from a pre-publication independent replication initiative examining ten moral judgement effects

Autor: Carlos T. Wilson, Lynn Wong, Jennifer Jordan, Erik W. Cheries, P. Scott Ramsay, Andrew Canavan, Nikhil Madan, Jun Gu, Felix Cheung, Warren Tierney, Aaron M. Sackett, Nicole J. Hartwich, Cong Wei, Harvey Packham, Alexandra A. Mislin, Jesse Chandler, Andrew C. Hafenbrack, Hoai Huong Ngo, Daniel Diermeier, Clintin P. Davis-Stober, Timo P. Luoma, Lily Jiang, Wendy L. Bedwell, Walter Sowden, Daniel C. Molden, Xiaomin Sun, Deanna M. Kennedy, Jennifer Miles, Anthony N. Washburn, Maarten Marsman, Christina M. Tworek, Martin Schweinsberg, David Tannenbaum, Christilene du Plessis, Monica Gamez-Djokic, Eliza Bivolaru, S. Amy Sommer, Tabitha Anderson, Andrei Cimpian, Nicole Legate, Tehlyr Kellogg, Peter H. Ditto, Victoria L. Brescoll, Matt Motyl, Yoel Inbar, Anne-Laure Sellier, Justin E. Heinze, Christopher W. Bauman, Toshio Murase, Quentin Frederik Gronau, Kristie Hein, Adam Hahn, Eric Luis Uhlmann, Peter Meindl, Mark A. Clark, Rebecca Hofstein Grady, Israr Qureshi, Malavika Srinivasan, Eli Awtrey, Heidi Maibeucher, Sophie Charlotte Darroux, Michael Schaerer, Sapna Cheryan, Alice Amell, Michelangelo Vianello, Eko Yi Liao, Jennifer L. Ray, Jason Dana, Sarah E. Frick, Jay J. Van Bavel, Fiery Cushman, Daniel Storage, Luke Lei Zhu, Diana Cordon, Brittany E. Hanson, Alexander Ly, George E. Newman, Erik Wetter, Jesse Graham, Eric-Jan Wagenmakers, Tatiana Sokolova, Nico Thornley

Publikováno v: Scientific Data, 3:160082. Nature Publishing Group
Scientific Data
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Tierney, W; Schweinsberg, M; Jordan, J; Kennedy, DM; Qureshi, I; Sommer, SA; et al.(2016). Data from a pre-publication independent replication initiative examining ten moral judgement effects. Scientific Data, 3. doi: 10.1038/sdata.2016.82. UC Irvine: Retrieved from: http://www.escholarship.org/uc/item/09n118vf
Scientific data, vol 3, iss 1

We present the data from a crowdsourced project seeking to replicate findings in independent laboratories before (rather than after) they are published. In this Pre-Publication Independent Replication (PPIR) initiative, 25 research groups attempted t

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https://hdl.handle.net/10400.14/33801