The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
The Other Half of the Story: Effect Size Analysis in Quantitative Research
Open accessAbstract
Statistical significance testing is the cornerstone of quantitative research, but studies that fail to report measures of effect size are potentially missing a robust part of the analysis. We provide a rationale for why effect size measures should be included in quantitative discipline-based education research. Examples from both biological and educational research demonstrate the utility of effect size for evaluating practical significance. We also provide details about some effect size indices that are paired with common statistical significance tests used in educational research and offer general suggestions for interpreting effect size measures. Finally, we discuss some inherent limitations of effect size measures and provide further recommendations about reporting confidence intervals.
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Citations
Cites
Distribution Theory for Glass's Estimator of Effect Size and Related Estimators
Hedges, L. V. (1981) · Journal of Educational Statistics · doi:10.2307/1164588 · Cited by 5,695
Cohen, J. (1994) · American Psychologist · doi:10.1037/0003-066x.49.12.997 · Cited by 4,003
An effect size primer: A guide for clinicians and researchers.
Ferguson, C. J. (2009) · Professional Psychology: Research and Practice · doi:10.1037/a0015808 · Cited by 3,467
Statistical methods in psychology journals: Guidelines and explanations.
Wilkinson, L., & Task Force on Statistical Inference (1999) · American Psychologist · doi:10.1037/0003-066x.54.8.594 · Cited by 2,791
Ellis, P. D. (2010) · doi:10.1017/cbo9780511761676 · Cited by 2,461
Practical significance: a concept whose time has come
Kirk, R. E. (1996) · Educational and Psychological Measurement · doi:10.1177/0013164496056005002 · Cited by 1,778 · cited 5×
“The p value represents the probability of the observed data (or more extreme data) given that the null hypothesis is true: Pr(observed data|H0), assuming that the sampling was random and done without error (Kirk, 1996; Johnson, 1999).”
BackgroundInfluentialEta-squared and partial eta-squared in fixed factor anova designs
Cohen, J. (1973) · Educational and Psychological Measurement · doi:10.1177/001316447303300111 · Cited by 1,333
A common language effect size statistic
McGraw, K. O., & Wong, S. P. (1992) · Psychological Bulletin · doi:10.1037/0033-2909.111.2.361 · Cited by 934 · cited 1×
“Additionally, McGraw and Wong (1992) developed a measure to report what they call “the common language effect size indicator,” which describes the probability that a random value sampled from one group will be greater than a random value sampled from a comparison group (McGraw and Wong, 1992).”
BackgroundGottesman, A. J., & Hoskins, S. G. (2013) · CBE—Life Sciences Education · doi:10.1187/cbe.12-11-0201 · Cited by 123 · cited 1×
“Gottesman and Hoskins (2013) applied Cohen’s d to compare pre/post means of data collected using an instrument measuring students’ critical thinking, experimental design ability, attitudes, and beliefs.”
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Cited by
Tsai, Y.-L., & Tsai, C.-C. (2018) · Computers & Education · doi:10.1016/j.compedu.2018.06.020 · Cited by 164
Stevens, L. M., & Hoskins, S. G. (2014) · CBE—Life Sciences Education · doi:10.1187/cbe.13-12-0239 · Cited by 62
Eakman, A. M., Schelly, C., & Henry, K. L. (2016) · American Journal of Occupational Therapy · doi:10.5014/ajot.2016.016519 · Cited by 35
Kenyon, K. L., Onorato, M. E., Gottesman, A. J., Hoque, J., & Hoskins, S. G. (2016) · CBE—Life Sciences Education · doi:10.1187/cbe.15-07-0146 · Cited by 32
Barry, A. E., Szucs, L. E., Reyes, J. V., Ji, Q., Wilson, K. L., & Thompson, B. (2016) · Health Education & Behavior · doi:10.1177/1090198116669521 · Cited by 27
Supporting Diverse Learners in K-8 Computational Thinking with TIPP&SEE
Salac, J., Thomas, C., Butler, C., & Franklin, D. (2021) · Proceedings of the 52nd ACM Technical Symposium on Computer Science Education · doi:10.1145/3408877.3432366 · Cited by 10
Metadata
- Authors
- Maher, J. M., Markey, J. C., & Ebert-May, D.
- Venue
- CBE—Life Sciences Education
- Published
- 2013-09
- Volume
- 12
- Issue
- 3
- Pages
- 345-351
- ISSN
- 1931-7913 (ISSN-L)
- OpenAlex
- W2128850990
- Cited by
- 625
- References
- 9
- FWCI
- 63.85
- Type
- journal article
- Language
- en
- Open access
- hybrid
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
