| Literature DB >> 31346273 |
Colin F Camerer1, Anna Dreber2, Felix Holzmeister3, Teck-Hua Ho4, Jürgen Huber3, Magnus Johannesson2, Michael Kirchler3,5, Gideon Nave6, Brian A Nosek7,8, Thomas Pfeiffer9, Adam Altmejd2, Nick Buttrick10,11, Taizan Chan12, Yiling Chen13, Eskil Forsell14, Anup Gampa10,11, Emma Heikensten2, Lily Hummer11, Taisuke Imai15, Siri Isaksson2, Dylan Manfredi6, Julia Rose3, Eric-Jan Wagenmakers16, Hang Wu17.
Abstract
Being able to replicate scientific findings is crucial for scientific progress1-15. We replicate 21 systematically selected experimental studies in the social sciences published in Nature and Science between 2010 and 201516-36. The replications follow analysis plans reviewed by the original authors and pre-registered prior to the replications. The replications are high powered, with sample sizes on average about five times higher than in the original studies. We find a significant effect in the same direction as the original study for 13 (62%) studies, and the effect size of the replications is on average about 50% of the original effect size. Replicability varies between 12 (57%) and 14 (67%) studies for complementary replicability indicators. Consistent with these results, the estimated true-positive rate is 67% in a Bayesian analysis. The relative effect size of true positives is estimated to be 71%, suggesting that both false positives and inflated effect sizes of true positives contribute to imperfect reproducibility. Furthermore, we find that peer beliefs of replicability are strongly related to replicability, suggesting that the research community could predict which results would replicate and that failures to replicate were not the result of chance alone.Mesh:
Year: 2018 PMID: 31346273 DOI: 10.1038/s41562-018-0399-z
Source DB: PubMed Journal: Nat Hum Behav ISSN: 2397-3374