Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12411/1143
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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