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

• Author(s): Schweinsberg, Martin ; Madan, Nikhil ; Vianello, Michelangelo ; Sommer, S. Amy ; Jordan, Jennifer ; Tierney, Warren ; Awtrey, Eli ; Zhu, Luke Lei ; Diermeier, Daniel ; Heinze, Justin E. ; Srinivasan, Malavika ; Tannenbaum, David ; Bivolaru, Eliza ; Dana, Jason ; Davis-Stober, Clintin P. ; Plessis, Christilene du ; Gronau, Quentin F. ; Hafenbrack, Andrew C. ; Liao, Eko Yi ; Ly, Alexander ; Marsman, Maarten ; Murase, Toshio ; Qureshi, Israr ; Schaerer, Michael ; Thornley, Nico ; Tworek, Christina M. ; Wagenmakers, Eric Jan ; Wong, Lynn ; Anderson, Tabitha ; Bauman, Christopher W. ; Bedwell, Wendy L. ; Brescoll, Victoria ; Canavan, Andrew ; Chandler, Jesse J. ; Cheries, Erik ; Cheryan, Sapna ; Cheung, Felix ; Cimpian, Andrei ; Clark, Mark A. ; Cordon, Diana ; Cushman, Fiery ; Ditto, Peter H. ; Donahue, Thomas ; Frick, Sarah E. ; Gamez-Djokic, Monica ; Grady, Rebecca Hofstein ; Graham, Jesse ; Gu, Jun ; Hahn, Adam ; Hanso, Brittany E. ; Hartwich, Nicole J. ; Hein, Kristie ; Inbar, Yoel ; Jiang, Lily ; Kellogg, Tehlyr ; Kennedy, Deanna M. ; Legate, Nicole ; Luoma, Timo P. ; Maibuecher, Heidi ; Meindl, Peter ; Miles, Jennifer ; Mislin, Alexandra ; Molden, Daniel C. ; Motyl, Matt ; Newman, George ; Ngo, Hoai Huong ; Packham, Harvey ; Ramsay, Philip S. ; Ray, Jennifer L. ; Sackett, Aaron M. ; Sellier, Anne Laure ; Sokolova, Tatiana ; Sowden, Walter ; Storage, Daniel ; Sun, Xiaomin ; Bavel, Jay J. Van ; Washburn, Anthony N. ; Wei, Cong ; Wetter, Erik ; Wilson, Carlos T. ; Darroux, Sophie Charlotte ; Uhlmann, Eric Luis
• Date: 2016
• Persistent ID: http://hdl.handle.net/10400.14/34379
• Origin: Veritati - Repositório Institucional da Universidade Católica Portuguesa
• Subject(s): Crowdsourcing science; Meta-science; Methodology; Replication; Reproducibility; Research transparency
• Document Type: Journal article
• Language: English
• Contributor(s): Veritati

Description

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.