PreprintCited by 1Research Data Management PracticesScientific Computing and Data ManagementAcademic Publishing and Open Access

Investigating the reproducibility of the social and behavioural sciences

Open access
Miske, Olivia, Abatayo, Anna Lou, Daley, Macie, Dirzo, Mirka, Fox, Nicholas William, Haber, Noah, Hahn, Krystal, Kline Struhl, Melissa +120 more·2026

Abstract

Published claims should be reproducible, yielding the same result when applying the same analysis to the same data. We assessed reproducibility in a stratified random sample of 600 papers published from 2009 to 2018 in 62 journals spanning the social and behavioural sciences. Authors of 144 (24.0% [95% CI 20.8 - 27.6%]) papers made data available to assess reproducibility, and for 38 others, we obtained source data to reconstruct the dataset. We assessed 143 of the 182 available datasets and found that 76.6 (53.6% [95% CI 45.8 - 60.7%]) papers were rated as precisely reproducible and 105.0 (73.5% [95% CI 66.4 - 80.0%]) papers as at least approximately reproducible (within 15% of the original effects or within .05 of original p-values) after inverse weighting each of the 551 claims by the number of claims per paper. We observed higher reproducibility for papers from Political Science and Economics than other fields, for more recent than older papers, and for papers from journals that required data sharing. Implementing measures to verify that research is reproducible is needed to support trustworthiness in the complex enterprise of knowledge production.

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  • Such crowd-sourced reproduction work requires considerable resources-hundreds of trained researchers to collectively assess only a negligible fraction of the published literature.

    “Yet such work requires considerable resources-hundreds of trained researchers to collectively assess only a negligible fraction of the published literature (Brodeur et al., 2026; Miske et al., 2026; Tyner et al., 2026).”

    From Read the Paper, Write the Code: Agentic Reproduction of Social-Science Results (2026) · cites this paper as Miske et al., 2026

    The Abstract reports that the project examined 600 papers across 62 journals but assessed reproducibility for only 143 datasets, supporting the point that a large collaborative effort covered a limited set of studies. The author list shows a large collaboration, but the passages do not establish that hundreds of trained researchers performed the assessments or quantify the resources required. They also do not measure the assessed papers as a fraction of all published literature. (LLM, conf=0.82)

    Experimental — accuracy not yet measured
  • Recent crowd-sourced reproduction efforts have revealed substantial variation in reproducibility across social science disciplines.

    “Recent crowd-sourced reproduction efforts have revealed substantial variation in reproducibility across social science disciplines.”

    From Read the Paper, Write the Code: Agentic Reproduction of Social-Science Results (2026) · cites this paper as Miske et al., 2026

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Authors
Miske, O., Abatayo, A. L., Daley, M., Dirzo, M., Fox, N. W., Haber, N., Hahn, K., Kline Struhl, M., Mawhinney, B., Silverstein, P., Stankov, T., Tyner, A. H., Adamkovic, M., Alzahawi, S., Anafinova, S., Awtrey, E. C., Axxe, E., Bailey, J., Bakker, B. N., Balaji, A., Baník, G., Bartoš, F., berkman, H., Berry, Z., Bethke, F., Brady, T. F., Breznau, N., Capitan, S., Capitán, T., Caquelin, L., Cheng, K. J. G., Chopik, W. J., Clochard, G.-J., Coupe, T., Cummins, J., Burak, E. G. D., Duan, J., Esterling, K., Evans, T. R., Fiala, N., Field, J., Gay, V., Geng, J., Gereke, J., Gleibs, I. H., Gourdon-Kanhukamwe, A., Grigoryev, D., Gunby, N., Hanel, P. H. P., Hong, S., Houlihan, S. D., Huntington-Klein, N., Izydorczak, K., Jankowsky, K., Jonas, K., Kačmár, P., Kapoor, H., Karcher, S., Kołczyńska, M., Kretschmer, D., Lazarevic, L., Leahy, K. E., Lee, J. C., Limnios, A. C., Liu, A.-C., Lloyd, J. W., Lopez-Nicolas, R., Lou, N. M., Lucas, R., Maier, M., Mallinson, D. J., Martončik, M., McCall, M. C., Mehta, N. P., Méndez-Chacón, E., Michalak, J., Molden, D. C., Mushtaq, F., Neuendorf, C., Nichols, A. L., Nilsonne, G., O'Boyle, E., Oh, J., Ostermann, T., OYEBANJO, A., Panczak, R., Pavlov, Y. G., Pavlović, Z., Peter, N., Peters, K. O., Porter, N. D., Purol, M., Puthillam, A., Ramljak, M., Reader, A. T., Reed, W. R., Röer, J. P., Ropovik, I., Savi, A. O., Schmidt, K., Schnabel, L., Sevigny, E. L., Shaki, S., Shakya, S., Soh, A., Somo, A., Sonmez, F., Strømland, E. A., Suchow, J., Szabelska, A., Tagat, A., Tutor, M., Urbanska, K., Van Dessel, P., Vargo, E. J., Vo, D. T. H., Volkman, V., Wang, K., Wichman, A. L., Williams, J. R., Winter, F., Wintermantel, F., Zhang, N., Ziano, I., Zogmaister, C., Zupan, Z., Nosek, B. A., & Errington, T. M.
Affiliations
  • Arizona State University (US)
  • Center for Open Science (US)
  • Center For Open Science
  • University of California, Riverside (US)
  • Virginia Tech (US)
  • Massachusetts Institute of Technology (US)
  • Universiteit Gent
  • Ghent University (BE)
ORCID
Published
2026-04-02
OpenAlex
W7148331934
Cited by
0
References
0
Type
posted content
Language
en
Open access
Topics
  • Physical Sciences › Computer Science › Information Systems › Research Data Management Practices
  • Social Sciences › Decision Sciences › Information Systems and Management › Scientific Computing and Data Management
  • Social Sciences › Decision Sciences › Information Systems and Management › Academic Publishing and Open Access
Keywords
reproducibility, social and behavioral sciences, data availability, research trustworthiness, data sharing policy, journal requirements, reproducibility assessment

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