Outcome-Reporting Bias in Education Research
Open accessAbstract
Outcome-reporting bias occurs when primary studies do not include information about all outcomes measured in a study. When studies omit findings on important measures, efforts to synthesize the research using systematic review techniques will be biased and interpretations of individual studies will be incomplete. Outcome-reporting bias has been well documented in medicine and has been shown to lead to inaccurate assessments of the effects of medical treatments and, in some cases, to omission of reports of harms. This study examines outcome-reporting bias in educational research by comparing the reports of educational interventions from dissertations to their published versions. We find that nonsignificant outcomes were 30% more likely to be omitted from a published study than statistically significant ones.
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Including unpublished studies in a systematic review reduces risk of publication bias.
“The inclusion of unpublished literature, in particular, is important to limit the risk of publication bias”
From Effects of after-school programs with at-risk youth on attendance and externalizing behaviors: A systematic review and meta-analysis (2015) · cites this paper as Pigott et al. 2013
After-school program intervention research may suffer from outcome reporting bias.
“We also suspect that outcome reporting bias may be an issue in after-school program intervention research as it has been found to be problematic in education research (Pigott et al. 2013).”
From Effects of after-school programs with at-risk youth on attendance and externalizing behaviors: A systematic review and meta-analysis (2015) · cites this paper as Pigott et al. 2013
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Guest Editor’s Introduction to Special Issue: The Science and Practice of Research Synthesis
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A cautionary note on aggregation in educational psychology and beyond
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Open Science 2.0: Large-Scale Collaborative Education ResearchPreprint
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- Authors
- Pigott, T. D., Valentine, J. C., Polanin, J. R., Williams, R. T., & Canada, D. D.
- Affiliations
- Loyola University Chicago, IL
- University of Louisville (US)
- Vanderbilt University (US)
- University of Memphis (US)
- Boston College (US)
- Venue
- Educational Researcher
- Published
- 2013-11
- Volume
- 42
- Issue
- 8
- Pages
- 424-432
- ISSN
- 0013-189X (ISSN-L)
- 1935-102X
- OpenAlex
- W2122723488
- Cited by
- 127
- References
- 32
- Citations by year
- 2026: 2 · 2025: 12 · 2024: 11 · 2023: 12 · 2022: 12 · 2021: 23 · 2020: 7 · 2019: 11 · 2018: 7 · 2017: 8 · 2016: 10 · 2015: 7 · 2014: 4 · 2013: 1
- FWCI
- 7.98
- Type
- journal article
- Language
- en
- Open access
- green
- ecommons.luc.edu
- Licence
- Locations
- Educational Researcher (publishedVersion)
- Loyola eCommons (Loyola University of Chicago) (submittedVersion, cc-by-nc-nd)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Social Sciences › Education › Educational Research and Methods
- Social Sciences › Safety Research › Academic integrity and plagiarism
- Keywords
- selective reporting, educational intervention, dissertations, publication bias, non-significant results, evidence synthesis, educational research
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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