Publication Type

Journal Article

Version

submittedVersion

Publication Date

5-2020

Abstract

To what extent are research results influenced by subjective decisions that scientists make as they design studies? Fifteen research teams independently designed studies to answer five original research questions related to moral judgments, negotiations, and implicit cognition. Participants from two separate large samples (total N > 15,000) were then randomly assigned to complete one version of each study. Effect sizes varied dramatically across different sets of materials designed to test the same hypothesis: materials from different teams rendered statistically significant effects in opposite directions for four out of five hypotheses, with the narrowest range in estimates being d = -0.37 to +0.26. Meta-analysis and a Bayesian perspective on the results revealed overall support for two hypotheses, and a lack of support for three hypotheses. Overall, practically none of the variability in effect sizes was attributable to the skill of the research team in designing materials, while considerable variability was attributable to the hypothesis being tested. In a forecasting survey, predictions of other scientists were significantly correlated with study results, both across and within hypotheses. Crowdsourced testing of research hypotheses helps reveal the true consistency of empirical support for a scientific claim.

Keywords

Crowdsourcing, scientific transparency, stimulus sampling, forecasting, conceptual replications, research robustness

Discipline

Psychology

Research Areas

Psychology

Publication

Psychological Bulletin

Volume

146

Issue

5

First Page

451

Last Page

479

ISSN

0033-2909

Identifier

10.1037/bul0000220

Publisher

American Psychological Association

Copyright Owner and License

Authors

Additional URL

https://doi.org/10.1037/bul0000220

Included in

Psychology Commons

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