Title: | Many Labs 2: Investigating Variation in Replicability Across Samples and Settings |
Authors: | Klein, Richard A. Vianello, Michelangelo Hasselman, Fred Adams, Byron G. Adams, Reginald B. Alper, Sinan Aveyard, Mark Axt, Jordan R. Babalola, Mayowa T. Bahník, Šteˇpán Batra, Rishtee Berkics, Mihály Bernstein, Michael J. Berry, Daniel R. Bialobrzeska, Olga Binan, Evans Dami Bocian, Konrad Brandt, Mark J. Busching, Robert Cabak Rédei, Anna Cai, Huajian Cambier, Fanny Cantarero, Katarzyna Carmichael, Cheryl L. Ceric, Francisco Chandler, Jesse Chang, Jen-Ho Chatard, Armand Chen, Eva E. Cheong, Winnee Cicero, David C. Coen, Sharon Coleman, Jennifer A. Collisson, Brian Conway, Morgan A. Corker, Katherine S. Curran, Paul G. Cushman, Fiery Dagona, Zubairu K. Dalgar, Ilker Rosa, Anna Dalla Davis, William E. de Bruijn, Maaike De Schutter, Leander Devos, Thierry de Vries, Marieke Dog˘ulu, Canay Dozo, Nerisa Dukes, Kristin Nicole Dunham, Yarrow Durrheim, Kevin Ebersole, Charles R. Edlund, John E. Eller, Anja English, Alexander Scott Finck, Carolyn Frankowska, Natalia Freyre, Miguel-Ángel Friedman, Mike Galliani, Elisa Maria Gandi, Joshua C. Ghoshal, Tanuka Giessner, Steffen R. Gill, Tripat Gnambs, Timo Gómez, Ángel González, Roberto Graham, Jesse Grahe, Jon E. Grahek, Ivan Green, Eva G. T. Hai, Kakul Haigh, Matthew Haines, Elizabeth L. Hall, Michael P. Heffernan, Marie E. Hicks, Joshua A. Houdek, Petr Huntsinger, Jeffrey R. Huynh, Ho Phi IJzerman, Hans Inbar, Yoel Innes-Ker, Åse H. Jiménez-Leal, William John, Melissa-Sue Joy-Gaba, Jennifer A. Kappes, Heather Barry Kamilog˘lu, Roza G. Karabati, Serdar Karick, Haruna Keller, Victor N. Kende, Anna Kervyn, Nicolas Kneževic, Goran Kovacs, Carrie Krueger, Lacy E. Kurapov, German Kurtz, Jamie Lakens, Daniël Lazarevic, Ljiljana B. Levitan, Carmel A. Lewis, Neil A. Lins, Samuel Lipsey, Nikolette P. Losee, Joy E. Maassen, Esther Maitner, Angela T. Malingumu, Winfrida Mallett, Robyn K. Marotta, Satia A. Med–edovic, Janko Mena-Pacheco, Fernando Milfont, Taciano L. Morris, Wendy L. Murphy, Sean C. Myachykov, Andriy Neave, Nick Neijenhuijs, Koen Nelson, Anthony J. Neto, Félix Lee Nichols, Austin Ocampo, Aaron O’Donnell, Susan L. Oikawa, Haruka Oikawa, Masanori Ong, Elsie Orosz, Gábor Osowiecka, Malgorzata Packard, Grant Pérez-Sánchez, Rolando Petrovic, Boban Pilati, Ronaldo Pinter, Brad Podesta, Lysandra Pogge, Gabrielle Pollmann, Monique M. H. Rutchick, Abraham M. Saavedra, Patricio Saeri, Alexander K. Salomon, Erika Schmidt, Kathleen Schönbrodt, Felix D. Sekerdej, Maciej B. Sirlopú, David Skorinko, Jeanine L. M. Smith, Michael A. Smith-Castro, Vanessa Smolders, Karin C. H. J. Sobkow, Agata Sowden, Walter Spachtholz, Philipp Srivastava, Manini Steiner, Troy G. Stouten, Jeroen Street, Chris N. H. Sundfelt, Oskar K. Szeto, Stephanie Szumowska, Ewa Tang, Andrew C. W. Tanzer, Norbert Tear, Morgan J. Theriault, Jordan Thomae, Manuela Torres, David Traczyk, Jakub Ujhelyi, Adrienn Tybur, Joshua M. van Aert, Robbie C. M. van Assen, Marcel A. L. M. van der Hulst, Marije van Lange, Paul A. M. van ’t Veer, Anna Elisabeth Vásquez- Echeverría, Alejandro Vaughn, Leigh Ann Vázquez, Alexandra Vega, Luis Diego Verniers, Catherine Verschoor, Mark Voermans, Ingrid P. J. Vranka, Marek A. Welch, Cheryl Wichman, Aaron L. Williams, Lisa A. Wood, Michael Woodzicka, Julie A. Wronska, Marta K. Young, Liane Zelenski, John M. Zhijia, Zeng Nosek, Brian A. |
Keywords: | social psychology cognitive psychology replication culture individual differences sampling effects situational effects meta-analysis registered report open data open materials preregistered |
Publisher: | Advances in Methods and Practices in Psychological Science |
Citation: | Klein, R. A., Vianello, M., Hasselman, F., Adams, B. G., Adams, R. B., Alper, S., Aveyard, M., Axt, J. R., Babalola, M. T., Bahník, Š., Batra, R., Berkics, M., Bernstein, M. J., Berry, D. R., Bialobrzeska, O., Binan, E. D., Bocian, K., Brandt, M. J., Busching, R.,,, y Nosek, B. A. (2018). Many Labs 2: Investigating Variation in Replicability Across Samples and Settings. Advances in Methods and Practices in Psychological Science, 4(1), 443-490. https://journals.sagepub.com/doi/pdf/10.1177/2515245918810225 |
Abstract: | Abstract: We conducted preregistered replications of 28 classic and contemporary published findings, with protocols that were peer reviewed in advance, to examine variation in effect magnitudes across samples and settings. Each protocol was administered to approximately half of 125 samples that comprised 15,305 participants from 36 countries and territories. Using the conventional criterion of statistical significance (p < .05), we found that 15 (54%) of the replications provided evidence of a statistically significant effect in the same direction as the original finding. With a strict significance criterion (p < .0001), 14 (50%) of the replications still provided such evidence, a reflection of the extremely highpowered design. Seven (25%) of the replications yielded effect sizes larger than the original ones, and 21 (75%) yielded effect sizes smaller than the original ones. The median comparable Cohen’s ds were 0.60 for the original findings and 0.15 for the replications. The effect sizes were small (< 0.20) in 16 of the replications (57%), and 9 effects (32%) were in the direction opposite the direction of the original effect. Across settings, the Q statistic indicated significant heterogeneity in 11 (39%) of the replication effects, and most of those were among the findings with the largest overall effect sizes; only 1 effect that was near zero in the aggregate showed significant heterogeneity according to this measure. Only 1 effect had a tau value greater than .20, an indication of moderate heterogeneity. Eight others had tau values near or slightly above .10, an indication of slight heterogeneity. Moderation tests indicated that very little heterogeneity was attributable to the order in which the tasks were performed or whether the tasks were administered in lab versus online. Exploratory comparisons revealed little heterogeneity between Western, educated, industrialized,rich, and democratic (WEIRD) cultures and less WEIRD cultures (i.e., cultures with relatively high and low WEIRDness scores, respectively). Cumulatively, variability in the observed effect sizes was attributable more to the effect being studied than to the sample or setting in which it was studied. |
URI: | https://journals.sagepub.com/doi/pdf/10.1177/2515245918810225 https://hdl.handle.net/20.500.12411/1143 |
Appears in Collections: | Artículos publicados en revistas internacionales
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