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Examining the generalizability of research findings from archival data

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;...

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Autores principales: Delios, Andrew, Clemente, Elena Giulia, Wu, Tao, Tan, Hongbin, Wang, Yong, Gordon, Michael, Viganola, Domenico, Chen, Zhaowei, Dreber, Anna, Johannesson, Magnus, Pfeiffer, Thomas, Uhlmann, Eric Luis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9335312/
https://www.ncbi.nlm.nih.gov/pubmed/35858443
http://dx.doi.org/10.1073/pnas.2120377119
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author Delios, Andrew
Clemente, Elena Giulia
Wu, Tao
Tan, Hongbin
Wang, Yong
Gordon, Michael
Viganola, Domenico
Chen, Zhaowei
Dreber, Anna
Johannesson, Magnus
Pfeiffer, Thomas
Uhlmann, Eric Luis
author_facet Delios, Andrew
Clemente, Elena Giulia
Wu, Tao
Tan, Hongbin
Wang, Yong
Gordon, Michael
Viganola, Domenico
Chen, Zhaowei
Dreber, Anna
Johannesson, Magnus
Pfeiffer, Thomas
Uhlmann, Eric Luis
author_sort Delios, Andrew
collection PubMed
description 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.
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spelling pubmed-93353122022-07-30 Examining the generalizability of research findings from archival data Delios, Andrew Clemente, Elena Giulia Wu, Tao Tan, Hongbin Wang, Yong Gordon, Michael Viganola, Domenico Chen, Zhaowei Dreber, Anna Johannesson, Magnus Pfeiffer, Thomas Uhlmann, Eric Luis Proc Natl Acad Sci U S A Social Sciences 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. National Academy of Sciences 2022-07-19 2022-07-26 /pmc/articles/PMC9335312/ /pubmed/35858443 http://dx.doi.org/10.1073/pnas.2120377119 Text en Copyright © 2022 the Author(s). Published by PNAS https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Social Sciences
Delios, Andrew
Clemente, Elena Giulia
Wu, Tao
Tan, Hongbin
Wang, Yong
Gordon, Michael
Viganola, Domenico
Chen, Zhaowei
Dreber, Anna
Johannesson, Magnus
Pfeiffer, Thomas
Uhlmann, Eric Luis
Examining the generalizability of research findings from archival data
title Examining the generalizability of research findings from archival data
title_full Examining the generalizability of research findings from archival data
title_fullStr Examining the generalizability of research findings from archival data
title_full_unstemmed Examining the generalizability of research findings from archival data
title_short Examining the generalizability of research findings from archival data
title_sort examining the generalizability of research findings from archival data
topic Social Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9335312/
https://www.ncbi.nlm.nih.gov/pubmed/35858443
http://dx.doi.org/10.1073/pnas.2120377119
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