Effect size
Research Methods
Definition. An effect size is a quantitative measure of the magnitude of a relationship or difference, independent of sample size.
Explanation
Funder and Ozer argue that small effects can be important when accumulated and that conventional benchmarks are misleading (Funder & Ozer, 2019). Effect sizes are essential for power analysis and sample size planning (Giner-Sorolla et al., 2024).
Related concepts
Sample size and statistical power Meta-analysis Moderation analysis
Read on The Health Topics
- The Sense and Nonsense of Effect Size: What Does Funder and Ozer’s (2019) Call Mean for Health Research?
- Understanding Statistical Power Analysis in Psychology
References
Funder, D. C., & Ozer, D. J. (2019). Evaluating effect size in psychological research: Sense and nonsense. Advances in Methods and Practices in Psychological Science, 2(2), 156–168. doi:10.1177/2515245919847202 (with the 2020 corrigendum).
Giner-Sorolla, R., Montoya, A. K., Reifman, A., Carpenter, T., Lewis Jr, N. A., Aberson, C. L., … & Soderberg, C. (2024). Power to detect what? Considerations for planning and evaluating sample size. Personality and Social Psychology Review, 28 (3), 276-301.
Cite this entry: Kurutkan, M. N. (2026). Effect size. In The Health Topics glossary. https://healthtopic.org/glossary/effect-size/
Articles that discuss this concept
29 articles on The Health Topics mention this concept. Most relevant first.
- The Sense and Nonsense of Effect Size: What Does Funder and Ozer’s (2019) Call Mean for Health Research? 36
- Understanding Statistical Power Analysis in Psychology 14
- Cracking The Code: Why Doctors Ignore Your Surveys 8
- NCA-ESSE: Enhancing Necessary Condition Analysis in Data Science 7
- Mastering Sample Size in Survey Research 7
- THESIS REVIEW 3
- Planned Behavior and Chronic Illness Adherence: A Meta-Analysis 2
- Quran Recitation Reduces Neurosurgery Anxiety in Muslim Patients 2
- PLS-SEM in Quality Management: Current Practices and Challenges 2
- AI Tools in Clinical Documentation: Reducing Burden and Time 2
- A Step-by-Step Guide to Bibliometric Analysis Techniques: Methodological Advances and Healthcare Applications (2021–2026) 2
- Item-Level Content Overlap Analysis (Jingle–Jangle) 2