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Many Labs 5: Testing Pre-Data-Collection Peer Review as an Intervention to Increase Replicability
Advances in Methods and Practices in Psychological Science
  • Charles R Ebersole, University of Virginia
  • Maya B Mathur, Stanford University
  • Erica Baranski, University of Houston
  • Diane-Jo Bart-Plange, University of Virginia
  • Nicholas R Buttrick, University of Virginia
  • Christopher R. Chartier, Ashland University
  • Katherine S Corker, Grand Valley State University
  • Martin Corley, The University of Edinburgh
  • Joshua K Hartshorne, Boston College
  • Hans Rocha Ijzerman, Université Grenoble Alpes
  • Ljiljana B Lazarević, University of Belgrade
  • Hugh Rabagliati, The University of Edinburgh
  • Ivan Ropovik, University of Presov
  • Balazs Aczel, Eötvös Loránd University
  • Lena F Aeschbach, University of Basel
  • Luca Andrighetto, University of Genova
  • Jack D Arnal, McDaniel College
  • Holly Arrow, University of Oregon
  • Peter Babincak, University of Presov
  • Bence E Bakos, Eötvös Loránd University
  • Gabriel Banik, University of Presov
  • Ernest Baskin, Saint Joseph’s University
  • Radomir Belopavlović, University of Novi Sad
  • Michael H Bernstein, Brown University
  • Michał Białek, University of Wroclaw
  • Nicholas G Bloxsom, Ashland University
  • Bojana Bodroža, University of Novi Sad
  • Diane B. V. Bonfiglio, Ashland University
  • Leanne Boucher, Nova Southeastern University
  • Florian Brühlmann, University of Basel
  • Claudia C Brumbaugh, City University of New York
  • Erica Casini, University of Milano-Bicocca
  • Yiling Chen, Harvard University
  • Carlo Chiorri, University of Genova
  • William J Chopik, Michigan State University
  • Oliver Christ, FernUniversität in Hagen
  • Antonia M Ciunci, University of Rhode Island
  • Heather M Claypool, Miami University
  • Sean Coary, Loyola University Chicago
  • Marija V Čolić, University of Belgrade
  • W. Matthew Collins, Nova Southeastern University
  • Paul R Curran, Grand Valley State University
  • Chris R Day, Coventry University
  • Benjamin Dering, University of Stirling
  • Anna Dreber, Stockholm School of Economics
  • John E Edlund, Rochester Institute of Technology
  • Filipe Falcão, University of Porto
  • Anna Fedor, Centre for Ecological Research, Budapest, Hungary
  • Lily Feinberg, Boston College
  • Ian R Ferguson, Virginia Commonwealth University
  • Máire Ford, Loyola Marymount University
  • Michael C Frank, Stanford University
  • Emily Fryberger, Pacific Lutheran University
  • Alexander Garinther, University of Oregon
  • Katarzyna Gawryluk, Kozminski University
  • Kayla Ashbaugh, Rose-Hulman Institute of Technology
  • Mauro Giacomantonio, Sapienza University of Rome
  • Steffen R Giessner, Erasmus University
  • Jon E Grahe, Pacific Lutheran University
  • Rosanna E Guadagno, Stanford University
  • Ewa Hałasa, Maria Curie-Skłodowska University
  • Peter J. B. Hancock, University of Stirling
  • Rias A Hilliard, Rose-Hulman Institute of Technology
  • Joachim Hüffmeier, TU Dortmund University
  • Sean Hughes, Ghent University
  • Katarzyna Idzikowska, Kozminski University
  • Michael Inzlicht, University of Toronto
  • Alan Jern, Rose-Hulman Institute of Technology
  • William Jiménez-Leal, Universidad de los Andes
  • Magnus Johannesson, Stockholm School of Economics
  • Jennifer A Joy-Gaba, Virginia Commonwealth University
  • Mathias Kauff, Medical School Hamburg
  • Danielle J Kellier, University of Pennsylvania
  • Grecia Kessinger, Brigham Young University–Idaho
  • Mallory C Kidwell, University of Utah
  • Amanda M Kimbrough, University of Texas at Dallas
  • Josiah P. J. King, University of Edinburgh
  • Vanessa S Kolb, University of Rhode Island
  • Sabina Kołodziej, Kozminski University
  • Marton Kovacs, ELTE Eötvös Loránd University
  • Karolina Krasuska, Maria Curie-Skłodowska University
  • Sue Kraus, Fort Lewis College
  • Lacy E Krueger, Texas A&M University-Commerce
  • Katarzyna Kuchno, Maria Curie-Skłodowska University
  • Caio Ambrosio Lage, Pontifical Catholic University of Rio de Janeiro
  • Eleanor V Langford, University of Virginia
  • Carmel A Levitan, Occidental College
  • Tiago Jessé Souza de Lima, University of Brasília
  • Hause Lin, University of Toronto
  • Samuel Lins, University of Porto
  • Jia E Loy, University of Edinburgh
  • Dylan Manfredi, University of Pennsylvania
  • Łukasz Markiewicz, Kozminski University
  • Madhavi Menon, Nova Southeastern University
  • Brett Mercier, University of California, Irvine
  • Mitchell Metzger, Ashland University
  • Venus Meyet, Brigham Young University–Idaho
  • Ailsa E. Millen, University of Stirling
  • Jeremy K. Miller, Willamette University
  • Andres Montealegre, Cornell University
  • Don A Moore, University of California - Berkeley
  • Rafał Muda, Maria Curie-Skłodowska University
  • Gideon Nave, University of Pennsylvania
  • Austin Lee Nichols, Duy Tan University
  • Sarah A. Novak, Hofstra University
  • Christian Nunnally, Rose-Hulman Institute of Technology
  • Ana Orlić, University of Belgrade
  • Anna Palinkas, ELTE Eötvös Loránd University
  • Angelo Panno, European University of Rome
  • Kimberly P. Parks, University of Virginia
  • Ivana Pedović, University of Niš
  • Emilian Pękala, Maria Curie-Skłodowska University
  • Matthew R. Penner, Cornell University
  • Sebastiaan Pessers, University of Leuven
  • Boban Petrović, University of Belgrade
  • Thomas Pfeiffer, Massey University
  • Damian Pieńkosz, Maria Curie-Skłodowska University
  • Emanuele Preti, University of Milano-Bicocca
  • Danka Purić, University of Belgrade
  • Tiago Ramos, University of Porto
  • Jonathan Ravid, Boston College
  • Timothy S Razza, Nova Southeastern University
  • Katrin Rentzsch, Psychologische Hochschule Berlin
  • Juliette Richetin, University of Milano-Bicocca
  • Sean C Rife, Murray State University
  • Anna Dalla Rosa, University of Padova
  • Kaylis Hase Rudy, Brigham Young University–Idaho
  • Janos Salamon, ELTE Eötvös Loránd University
  • Blair Saunders, University of Dundee
  • ‪Przemysław Sawicki‬, Kozminski University
  • Kathleen Schmidt, Southern Illinois University Carbondale
  • Kurt Schuepfer, Miami University
  • Thomas Schultze, University of Göttingen
  • Stefan Schulz-Hardt, University of Göttingen
  • Astrid Schütz, University of Bamberg
  • Ani N Shabazian, Loyola Marymount University
  • Rachel L. Shubella, Rose-Hulman Institute of Technology
  • Adam Siegel, Cultivate Labs, Chicago, Illinois
  • Rúben Silva, University of Porto
  • Barbara Sioma, Maria Curie-Skłodowska University
  • Lauren Skorb, Boston College
  • Luana Elayne Cunha de Souza, Universidade de Fortaleza
  • Sara Steegen, University of Leuven
  • L A. R. Stein, Brown University
  • R Weylin Sternglanz, Nova Southeastern University
  • Darko Stojilović, Belgrade, Serbia
  • Daniel Storage, University of Denver
  • Gavin Brent Sullivan, Coventry University
  • Barnabas Szaszi, ELTE Eötvös Loránd University
  • Peter Szecsi, ELTE Eötvös Loránd University
  • Orsolya Szöke, ELTE Eötvös Loránd University
  • Attila Szuts, ELTE Eötvös Loránd University
  • Manuela Thomae, MEU - Die Multiversität
  • Natasha D Tidwell, Fort Lewis College
  • Carly Tocco, City University of New York
  • Ann-Kathrin Torka, TU Dortmund University
  • Francis Tuerlinckx, University of Leuven
  • Wolf Vanpaemel, University of Leuven
  • Leigh Ann Vaughn, Ithaca College
  • Michelangelo Vianello, University of Padova
  • Domenico Viganola, Stockholm School of Economics
  • Maria Vlachou, University of Leuven
  • Ryan J Walker, Miami University
  • Sophia Christin Weissgerber, University of Kassel
  • Aaron L Wichman, Western Kentucky University
  • Bradford J Wiggins, Brigham Young University–Idaho
  • Daniel Wolf, University of Bamberg
  • Michael J Wood, University of Winchester
  • David Zealley, Brigham Young University–Idaho
  • Iris Žeželj, University of Belgrade
  • Mark Zrubka, University of Amsterdam
  • Brian A. Nosek, Center for Open Science, Charlottesville, Virginia
Document Type
Article
Publication Date
1-1-2020
Disciplines
Abstract/Excerpt

Replication studies in psychological science sometimes fail to reproduce prior findings. If these studies use methods that are unfaithful to the original study or ineffective in eliciting the phenomenon of interest, then a failure to replicate may be a failure of the protocol rather than a challenge to the original finding. Formal pre-data-collection peer review by experts may address shortcomings and increase replicability rates. We selected 10 replication studies from the Reproducibility Project: Psychology (RP:P; Open Science Collaboration, 2015) for which the original authors had expressed concerns about the replication designs before data collection; only one of these studies had yielded a statistically significant effect (p < .05). Commenters suggested that lack of adherence to expert review and low-powered tests were the reasons that most of these RP:P studies failed to replicate the original effects. We revised the replication protocols and received formal peer review prior to conducting new replication studies. We administered the RP:P and revised protocols in multiple laboratories (median number of laboratories per original study = 6.5, range = 3–9; median total sample = 1,279.5, range = 276–3,512) for high-powered tests of each original finding with both protocols. Overall, following the preregistered analysis plan, we found that the revised protocols produced effect sizes similar to those of the RP:P protocols (Δr = .002 or .014, depending on analytic approach). The median effect size for the revised protocols (r = .05) was similar to that of the RP:P protocols (r = .04) and the original RP:P replications (r = .11), and smaller than that of the original studies (r = .37). Analysis of the cumulative evidence across the original studies and the corresponding three replication attempts provided very precise estimates of the 10 tested effects and indicated that their effect sizes (median r = .07, range = .00–.15) were 78% smaller, on average, than the original effect sizes (median r = .37, range = .19–.50).

DOI
https://dx.doi.org/10.1177/2515245920958687
ORCID ID
0000-0002-8607-2579, 0000-0003-1629-3699, 0000-0001-6025-7068, 0000-0001-8840-4285
Citation Information
Charles R Ebersole, Maya B Mathur, Erica Baranski, Diane-Jo Bart-Plange, et al.. "Many Labs 5: Testing Pre-Data-Collection Peer Review as an Intervention to Increase Replicability" Advances in Methods and Practices in Psychological Science Vol. 3 Iss. 3 (2020) ISSN: 2515-2467
Available at: http://works.bepress.com/weylin-sternglanz/76/