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Examining the generalizability of research findings from archival data
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Title: | Examining the generalizability of research findings from archival data |
Authors: | Delios, A Clemente, EG Wu, T Tan, H Wang, Y Gordon, M Viganola, D Chen, Z Dreber, A Johannesson, M Pfeiffer, T Generalizability Tests Forecasting Collaboration Uhlmann, EL |
Item Type: | Journal Article |
Abstract: | 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. |
Issue Date: | 26-Jul-2022 |
Date of Acceptance: | 8-Jun-2022 |
URI: | http://hdl.handle.net/10044/1/113695 |
DOI: | 10.1073/pnas.2120377119 |
ISSN: | 0027-8424 |
Publisher: | National Academy of Sciences |
Journal / Book Title: | Proceedings of the National Academy of Sciences of USA |
Volume: | 119 |
Issue: | 30 |
Copyright Statement: | © 2022 the Author(s). Published by PNAS. This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND). |
Publication Status: | Published |
Conference Place: | United States |
Article Number: | e2120377119 |
Online Publication Date: | 2022-07-19 |
Appears in Collections: | Imperial College Business School |
This item is licensed under a Creative Commons License