Failure to Report Effect Sizes: The Handling of Quantitative Results in Published Health Education and Behavior Research
Abstract
Given the American Psychological Association’s strong recommendation to always report effect sizes in research, scholars have a responsibility to provide complete information regarding their findings. The purposes of this study were to (a) determine the frequencies with which different effect sizes were reported in published, peer-reviewed articles in health education, promotion, and behavior journals and (b) discuss implications for reporting effect size in social science research. Across a 4-year time period (2010-2013), 1,950 peer-reviewed published articles were examined from the following six health education and behavior journals: American Journal of Health Behavior, American Journal of Health Promotion, Health Education & Behavior, Health Education Research, Journal of American College Health, and Journal of School Health. Quantitative features from eligible manuscripts were documented using Qualtrics online survey software. Of the 1,245 articles in the final sample that reported quantitative data analyses, approximately 47.9% ( n = 597) of the articles reported an effect size. While 16 unique types of effect size were reported across all included journals, many of the effect sizes were reported with little frequency across most journals. Overall, odds ratio/adjusted odds ratio ( n = 340, 50.1%), Pearson r/ r 2 ( n = 162, 23.8%), and eta squared/partial eta squared ( n = 46, 7.2%) accounted for the most frequently used effect size. Quality research practice requires both testing statistical significance and reporting effect size. However, our study shows that a substantial portion of published literature in health education and behavior lacks consistent reporting of effect size.
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The large effect sizes observed for several learning indicators suggest that AI-enhanced teaching may substantially influence students' learning processes and outcomes rather than merely producing marginal improvements.
“The large effect sizes observed for several learning indicators suggest that AI-enhanced teaching may substantially influence students’ learning processes and outcomes rather than merely producing marginal improvements [22].”
Cites
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A catalogue of reporting guidelines for health research
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“Due to the limitations associated with statistical significance testing, some have gone so far as to propose abandoning statistical significance testing entirely (see Carver, 1993; Schmidt, 1992, 1996).”
BackgroundFinch, S., Cumming, G., & Thomason, N. (2001) · Educational and Psychological Measurement · doi:10.1177/0013164401612001 · Cited by 52 · cited 1× · see citing works
“In examining five decades of published articles in the Journal of Applied Psychology, Finch et al. (2001) contended that there have been few changes in effect size reporting for half a century.”
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Zhao, C., Zhu, J., Liu, J., Zhao, W., & Pang, Y. (2026) · BMC Medical Education · doi:10.1186/s12909-026-09469-0 · Cited by 1 · see citing works
- Authors
- Barry, A. E., Szucs, L. E., Reyes, J. V., Ji, Q., Wilson, K. L., & Thompson, B.
- Affiliations
- Texas A&M University (US)
- Corresponding author
- Barry, Adam E.
- Venue
- Health Education & Behavior
- Publisher
- SAGE Publications
- Published
- 2016-09-13
- Volume
- 43
- Issue
- 5
- Pages
- 518-527
- ISSN
- 1090-1981 (ISSN-L)
- 1552-6127
- OpenAlex
- W2519788887
- Cited by
- 27
- References
- 5
- Citations by year
- 2026: 1 · 2025: 3 · 2023: 2 · 2022: 2 · 2021: 4 · 2020: 4 · 2019: 2 · 2018: 6 · 2017: 2 · 2016: 1
- FWCI
- 3.42
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Health Education & Behavior (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Psychology Research and Bibliometrics
- Social Sciences › Arts and Humanities › History and Philosophy of Science › Academic Writing and Publishing
- Keywords
- effect size reporting, reporting practices, health education research, health promotion research, health behavior research, odds ratio, Pearson correlation, eta squared, statistical significance, research quality, APA guidelines
- MeSH terms
- Data Interpretation, Statistical, Health Education, Humans, Periodicals as Topic, Research, Societies, Scientific, Statistics as Topic, Bibliometrics, Odds Ratio, Guidelines as Topic, Behavioral Research
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