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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.
Afiliación
  • Delios A; Department of Strategy and Policy, National University of Singapore, 119245 Singapore.
  • Clemente EG; Department of Economics, Stockholm School of Economics, Stockholm, 113 83 Sweden.
  • Wu T; School of Management and Economics and Shenzhen Finance Institute, The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), Shenzhen 518000, China.
  • Tan H; Advanced Institute of Business, Tongji University, Shanghai 200092, China.
  • Wang Y; School of Management, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, China.
  • Gordon M; New Zealand Institute for Advanced Study, Massey University, Auckland 0745, New Zealand.
  • Viganola D; Global Indicators Department, Development Economics Vice Presidency, World Bank Group, Washington, DC 20433, USA.
  • Chen Z; Department of Strategy and Policy, National University of Singapore, 119245 Singapore.
  • Dreber A; Department of Economics, Stockholm School of Economics, Stockholm, 113 83 Sweden.
  • Johannesson M; Department of Economics, University of Innsbruck, 6020 Innsbruck, Austria.
  • Pfeiffer T; Department of Economics, Stockholm School of Economics, Stockholm, 113 83 Sweden.
Proc Natl Acad Sci U S A ; 119(30): e2120377119, 2022 Jul 26.
Article en En | MEDLINE | ID: mdl-35858443
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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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2022 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2022 Tipo del documento: Article