Titel:The Power of Experiments: How Big is your n?
Autor:Asanov, Igor
Weitere Verfasser:Bühren, Christoph; Zacharodimou, Panagiota
Veröffentlicht:2020
URI:https://archiv.ub.uni-marburg.de/es/2024/0658
DOI: https://doi.org/10.17192/es2024.0658
ISSN: 1867-3678
DDC:330 Wirtschaft
Publikationsdatum:2024-01-19
Lizenz:https://creativecommons.org/publicdomain/mark/1.0

Dokument

Schlagwörter:
balanced randomization, meta-study, statistical significance, Statistical power, caliper test

Summary:
The replicability and credibility crisis in psychology and economics sparked the debate on underpowered experiments, publication biases, and p-hacking. Analyzing the number of independent observations of experiments published in Experimental Economics, Games and Economic Behavior, and the Journal of Economic Behavior and Organization, we observe that we did not learn much from this debate. The median experiment in our sample has too few independent observations and, thus, is underpowered. Moreover, we find indications for biases in reporting highly significant results. We investigate for which papers and experiments it is more likely to find reporting biases, and we suggest remedies that could help to overcome the replicability crisis.


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