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Are replication rates the same across academic fields? Community forecasts from the DARPA SCORE programme

Michael Gordon, Domenico Viganola, Michaël Bishop, Yiling Chen, Anna Dreber, Brandon Goldfedder, Felix Holzmeister, Magnus Johannesson, Yang Liu, Charles Twardy, Juntao Wang, Thomas Pfeiffer

2020Royal Society Open Science46 citationsDOIOpen Access PDF

Abstract

The Defense Advanced Research Projects Agency (DARPA) programme 'Systematizing Confidence in Open Research and Evidence' (SCORE) aims to generate confidence scores for a large number of research claims from empirical studies in the social and behavioural sciences. The confidence scores will provide a quantitative assessment of how likely a claim will hold up in an independent replication. To create the scores, we follow earlier approaches and use prediction markets and surveys to forecast replication outcomes. Based on an initial set of forecasts for the overall replication rate in SCORE and its dependence on the academic discipline and the time of publication, we show that participants expect replication rates to increase over time. Moreover, they expect replication rates to differ between fields, with the highest replication rate in economics (average survey response 58%), and the lowest in psychology and in education (average survey response of 42% for both fields). These results reveal insights into the academic community's views of the replication crisis, including for research fields for which no large-scale replication studies have been undertaken yet.

Topics & Concepts

Replication (statistics)Confidence intervalAgency (philosophy)PsychologyEmpirical researchComputer scienceApplied psychologyStatisticsSocial scienceSociologyMathematicsData Analysis with RMeta-analysis and systematic reviewsscientometrics and bibliometrics research