Analytic reproducibility in articles receiving open data badges at the journal Psychological Science: An observational study

Tom E. Hardwicke*, Manuel Bohn, Kyle MacDonald, Emily Hembacher, Michèle B. Nuijten, Benjamin N. Peloquin, Benjamin E. deMayo, Bria Long, Erica J. Yoon, Michael C. Frank

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

1 Citation (Scopus)

Abstract

For any scientific report, repeating the original analyses upon the original data should yield the original outcomes. We evaluated analytic reproducibility in 25 Psychological Science articles awarded open data badges between 2014 and 2015. Initially, 16 (64%, 95% confidence interval [43,81]) articles contained at least one ‘major numerical discrepancy' (>10% difference) prompting us to request input from original authors. Ultimately, target values were reproducible without author involvement for 9 (36% [20,59]) articles; reproducible with author involvement for 6 (24% [8,47]) articles; not fully reproducible with no substantive author response for 3 (12% [0,35]) articles; and not fully reproducible despite author involvement for 7 (28% [12,51]) articles. Overall, 37 major numerical discrepancies remained out of 789 checked values (5% [3,6]), but original conclusions did not appear affected. Non-reproducibility was primarily caused by unclear reporting of analytic procedures. These results highlight that open data alone is not sufficient to ensure analytic reproducibility.
Original languageEnglish
Article number201494
Number of pages9
JournalRoyal Society Open Science
Volume8
Issue number1
DOIs
Publication statusPublished - 2021

Keywords

  • AVAILABILITY
  • journal policy
  • meta-research
  • open badges
  • open data
  • open science
  • reproducibility

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