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Delios, A., Clemente, E. G., Wu, T., Tan, H., Wang, Y, Gordon, M....Generalizability Tests Forecasting Collaboration (2022). Examining the generalizability of research findings from archival data. Proceedings of the National Academy of Sciences of the United States of America. 119 (30)

A. Delios et al.,  "Examining the generalizability of research findings from archival data", in Proc. of the Nat. Academy of Sciences of the United States of America, vol. 119, no. 30, 2022

@article{delios2022_1716204056388,
	author = "Delios, A. and Clemente, E. G. and Wu, T. and Tan, H. and Wang, Y and Gordon, M. and Viganola, D. and Chen, Z. and Dreber, A. and Johannesson, M. and Pfeiffer, T. and Uhlmann, E. L. and Amaral-Baptista, M. and Wright, J. D. and Xia, Q. and Xie, Z. and Yoon, S. and Yuan, W. and Yuan, L. and Generalizability Tests Forecasting Collaboration",
	title = "Examining the generalizability of research findings from archival data",
	journal = "Proceedings of the National Academy of Sciences of the United States of America",
	year = "2022",
	volume = "119",
	number = "30",
	doi = "10.1073/pnas.2120377119",
	url = "https://www.pnas.org/doi/full/10.1073/pnas.2120377119"
}

TY  - JOUR
TI  - Examining the generalizability of research findings from archival data
T2  - Proceedings of the National Academy of Sciences of the United States of America
VL  - 119
IS  - 30
AU  - Delios, A.
AU  - Clemente, E. G.
AU  - Wu, T.
AU  - Tan, H.
AU  - Wang, Y
AU  - Gordon, M.
AU  - Viganola, D.
AU  - Chen, Z.
AU  - Dreber, A.
AU  - Johannesson, M.
AU  - Pfeiffer, T.
AU  - Uhlmann, E. L.
AU  - Amaral-Baptista, M.
AU  - Wright, J. D.
AU  - Xia, Q.
AU  - Xie, Z.
AU  - Yoon, S.
AU  - Yuan, W.
AU  - Yuan, L.
AU  - Generalizability Tests Forecasting Collaboration
PY  - 2022
SN  - 0027-8424
DO  - 10.1073/pnas.2120377119
UR  - https://www.pnas.org/doi/full/10.1073/pnas.2120377119
AB  - This initiative examined systematically the extent to which a large set of archival research findings generalizes across contexts. We repeated the key analyses for 29 original strategic management effects in the same context (direct reproduction) as well as in 52 novel time periods and geographies; 45% of the reproductions returned results matching the original reports together with 55% of tests in different spans of years and 40% of tests in novel geographies. Some original findings were associated with multiple new tests. Reproducibility was the best predictor of generalizability-for the findings that proved directly reproducible, 84% emerged in other available time periods and 57% emerged in other geographies. Overall, only limited empirical evidence emerged for context sensitivity. In a forecasting survey, independent scientists were able to anticipate which effects would find support in tests in new samples.
ER  -