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

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

*この研究の対応する著者

研究成果: Article査読

6 被引用数 (Scopus)

抄録

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25 research groups attempted to replicate 10 moral judgment effects from a single laboratory's research pipeline of unpublished findings. The 10 effects were investigated using online/lab surveys containing psychological manipulations (vignettes) followed by questionnaires. Results revealed a mix of reliable, unreliable, and culturally moderated findings. Unlike any previous replication project, this dataset includes the data from not only the replications but also from the original studies, creating a unique corpus that researchers can use to better understand reproducibility and irreproducibility in science.

本文言語English
論文番号160082
ジャーナルScientific Data
3
DOI
出版ステータスPublished - 2016 10月 11
外部発表はい

ASJC Scopus subject areas

  • 統計学および確率
  • 情報システム
  • 教育
  • コンピュータ サイエンスの応用
  • 統計学、確率および不確実性
  • 図書館情報学

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