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 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.

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Publication Details

Journal
Nature Human Behaviour
Published
2024-11-19
DOI
https://doi.org/10.1038/s41562-024-02062-9
Citations
12
Primary Topic
Behavioral Health and Interventions
Type
article
Field-Weighted Citation Impact
4.92

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article

Examining the replicability of online experiments selected by a decision market

Jürgen Huber, Rene Schwaiger, Vivien Margaret Walden, Alexandra Sarafoglou et al.
12 citations
Nature Human Behaviour
Behavioral Health and Interventions
4.92
article

Examining the replicability of online experiments selected by a decision market

Jürgen Huber, Rene Schwaiger, Vivien Margaret Walden, Alexandra Sarafoglou, Lawrence Jin, Alexander Ly, Gideon Nave, Anna Dreber, Colin F. Camerer, Noboru Imai, Thomas Pfeiffer, Dylan Manfredi, Teck‐Hua Ho, Taisuke Imai, Felix Holzmeister, Eric‐Jan Wagenmakers, Magnus Johannesson, Michael Kirchler, Suzanne Hoogeveen, Brian A. Nosek, Benjamin Mandl, Yiling Chen
article en
12 citations

Abstract

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.

Nature Human BehaviourVol. 9(2)
California Institute of Technology (US), Swedish National Bank (SE), Centrum Wiskunde & Informatica (NL), Harvard University (US), Osaka University of Economics (JP), National University of Singapore (SG), Nanyang Technological University (SG), Stockholm School of Economics (SE), Universität Innsbruck (AT), Utrecht University (NL), Center for Open Science (US), Massey University (NZ), University of Virginia (US), University of Pennsylvania (US), University of Amsterdam (NL)
Jan Wallanders och Tom Hedelius Stiftelse samt Tore Browaldhs Stiftelse, Sveriges Riksbanken, Austrian Science Fund, Knut och Alice Wallenbergs Stiftelse, Riksbankens Jubileumsfond, Marcus och Amalia Wallenbergs minnesfond
Openalex Percentile: Top 4%
Behavioral Health and Interventions
4.92
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