Significance In conducting empirical research in the social sciences, the results of testing the same hypothesis can vary depending on the population sampled, the study design, and the analysis. Such variation, referred to as heterogeneity, limits the generalizability of published scientific findings. We estimate heterogeneity based on 86 published meta-scientific studies. In our data, the estimated design and analytical heterogeneity are substantive and of at least the same magnitude as sampling uncertainty, whereas population heterogeneity is smaller. The results suggest low generalizability of the empirical findings under consideration across different study designs and statistical analyses.
Heterogeneity in effect size estimates
Felix Holzmeister,M. Johannesson,Robert Böhm,Anna Dreber,Jürgen Huber,Michael Kirchler
Published 2024 in Proceedings of the National Academy of Sciences of the United States of America
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- Publication year
2024
- Venue
Proceedings of the National Academy of Sciences of the United States of America
- Publication date
2024-07-30
- Fields of study
Medicine, Economics
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- Source metadata
Semantic Scholar, PubMed
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