Examining the replicability of online experiments selected by a decision market

Here we test the feasibility of using decision markets to select studies for replication and provide evidence about the replicability of online experiments. Social scientists (n = 162) traded on the outcome of close replications of 41 systematically selected MTurk social science experiments publishe...

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Veröffentlicht in:Nature human behaviour 2024-11
Hauptverfasser: Holzmeister, Felix, Johannesson, Magnus, Camerer, Colin F, Chen, Yiling, Ho, Teck-Hua, Hoogeveen, Suzanne, Huber, Juergen, Imai, Noriko, Imai, Taisuke, Jin, Lawrence, Kirchler, Michael, Ly, Alexander, Mandl, Benjamin, Manfredi, Dylan, Nave, Gideon, Nosek, Brian A, Pfeiffer, Thomas, Sarafoglou, Alexandra, Schwaiger, Rene, Wagenmakers, Eric-Jan, Waldén, Viking, Dreber, Anna
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Sprache:eng
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Zusammenfassung:Here we test the feasibility of using decision markets to select studies for replication and provide evidence about the replicability of online experiments. Social scientists (n = 162) traded on the outcome of close replications of 41 systematically selected MTurk social science experiments published in PNAS 2015-2018, knowing that the 12 studies with the lowest and the 12 with the highest final market prices would be selected for replication, along with 2 randomly selected studies. The replication rate, based on the statistical significance indicator, was 83% for the top-12 and 33% for the bottom-12 group. Overall, 54% of the studies were successfully replicated, with replication effect size estimates averaging 45% of the original effect size estimates. The replication rate varied between 54% and 62% for alternative replication indicators. The observed replicability of MTurk experiments is comparable to that of previous systematic replication projects involving laboratory experiments.
ISSN:2397-3374
2397-3374
DOI:10.1038/s41562-024-02062-9