Evidence map›Paper›PMID 35858443›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

Examining the generalizability of research findings from archival data.

Andrew Delios, Elena Giulia Clemente, Tao Wu, Hongbin Tan, Yong Wang, Michael Gordon, Domenico Viganola, Zhaowei Chen, Anna Dreber, Magnus Johannesson and 3 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Beyond reweighting: On the predictive role of covariate shift in effect generalization.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Heterogeneity in effect size estimates.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  10. Article
  11. Review
  12. Review
  13. Examining the generalizability of research findings from archival data.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Andrew DeliosDepartment of Strategy and Policy, National University of Singapore, 119245 Singapore.
Elena Giulia ClementeDepartment of Economics, Stockholm School of Economics, Stockholm, 113 83 Sweden.ORCID 0000-0002-6833-6841
Tao WuSchool of Management and Economics and Shenzhen Finance Institute, The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), Shenzhen 518000, China.ORCID 0000-0001-8814-1753
Hongbin TanAdvanced Institute of Business, Tongji University, Shanghai 200092, China.ORCID 0000-0002-9900-3230
Yong WangSchool of Management, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, China.ORCID 0000-0002-7122-7611
Michael GordonNew Zealand Institute for Advanced Study, Massey University, Auckland 0745, New Zealand.
Domenico ViganolaGlobal Indicators Department, Development Economics Vice Presidency, World Bank Group, Washington, DC 20433, USA.
Zhaowei ChenDepartment of Strategy and Policy, National University of Singapore, 119245 Singapore.ORCID 0000-0002-0314-6756
Anna DreberDepartment of Economics, Stockholm School of Economics, Stockholm, 113 83 Sweden.ORCID 0000-0003-3989-9941
Magnus JohannessonDepartment of Economics, Stockholm School of Economics, Stockholm, 113 83 Sweden.ORCID 0000-0001-8759-6393
Thomas PfeifferNew Zealand Institute for Advanced Study, Massey University, Auckland 0745, New Zealand.ORCID 0000-0002-0592-577X
Generalizability Tests Forecasting Collaboration
Eric Luis UhlmannDepartment of Organizational Behaviour, Institut Européen d'Administration des Affaires (INSEAD), Singapore 138676.

Funding

Jan Wallanders och Tom Hedelius Stiftelse samt Tore Browaldhs Stiftelse (Jan Wallander and Tom Hedelius Foundation and Tore Browaldh Foundation) naKnut och Alice Wallenbergs Stiftelse (Knut and Alice Wallenberg Foundation) FWFMinistry of Education (Singapore) Tier 1 Grant R-313-000-131-115National Science Foundation of China 72002158R&D Research Grant (INSEAD) na
6 · The paper itself

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.

Indexed as

archival datacontext sensitivitygeneralizabilityreproducibilityresearch reliability

Identifiers

PMID35858443
PMCPMC9335312

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.