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Examining the generalizability of research findings from archival data.

Authors :
Delios, Andrew
Clemente, Elena Giulia
Tao Wu
Hongbin Tan
Yong Wang
Gordon, Michael
Viganola, Domenico
Zhaowei Chen
Dreber, Anna
Johannesson, Magnus
Pfeiffer, Thomas
Uhlmann, Eric Luis
Source :
Proceedings of the National Academy of Sciences of the United States of America. 7/26/2022, Vol. 119 Issue 30, p1-9. 9p.
Publication Year :
2022

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00278424
Volume :
119
Issue :
30
Database :
Academic Search Index
Journal :
Proceedings of the National Academy of Sciences of the United States of America
Publication Type :
Academic Journal
Accession number :
158253255
Full Text :
https://doi.org/10.1073/pnas.2120377119