The pipeline project: pre-publication independent replications of a single laboratory's research pipeline

Martin Schweinsberg*, Nikhil Madan, Michelangelo Vianello, S. Amy Sommer, Jennifer Jordan, Warren Tierney, 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. Gronau, Andrew C. Hafenbrack, Eko Yi Liao, Alexander LyMaarten Marsman, Toshio Murase, Israr Qureshi, Michael Schaerer, Nico Thornley, 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, Thomas Donahue, 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, Deanna M. Kennedy, Nicole Legate, Timo P. Luoma, Heidi Maibuecher, Peter Meindl, Jennifer Miles, Alexandra Mislin, Daniel C. Molden, Matt Motyl, George Newman, Hoai Huong Ngo, Harvey Packham, Philip S. 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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

80 Citations (Scopus)
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Abstract

This crowdsourced project introduces a collaborative approach to improving the reproducibility of scientific research, in which findings are replicated in qualified independent laboratories before (rather than after) they are published. Our goal is to establish a non-adversarial replication process with highly informative final results. To illustrate the Pre-Publication Independent Replication (PPIR) approach, 25 research groups conducted replications of all ten moral judgment effects which the last author and his collaborators had “in the pipeline” as of August 2014. Six findings replicated according to all replication criteria, one finding replicated but with a significantly smaller effect size than the original, one finding replicated consistently in the original culture but not outside of it, and two findings failed to find support. In total, 40% of the original findings failed at least one major replication criterion. Potential ways to implement and incentivize pre-publication independent replication on a large scale are discussed.
Original languageEnglish
Pages (from-to)55-67
Number of pages13
JournalJournal of Experimental Social Psychology
Volume66
DOIs
Publication statusPublished - 1 Sept 2016

Keywords

  • Crowdsourcing science
  • Meta-science
  • Methodology
  • Replication
  • Reproducibility
  • Research transparency

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