The DOI matches its Crossref record; 51 of the 52 references it cites were found in a registry or an index.
Effect size estimates: Current use, calculations, and interpretation.
Abstract
The Publication Manual of the American Psychological Association (American Psychological Association, 2001, American Psychological Association, 2010) calls for the reporting of effect sizes and their confidence intervals. Estimates of effect size are useful for determining the practical or theoretical importance of an effect, the relative contributions of factors, and the power of an analysis. We surveyed articles published in 2009 and 2010 in the Journal of Experimental Psychology: General, noting the statistical analyses reported and the associated reporting of effect size estimates. Effect sizes were reported for fewer than half of the analyses; no article reported a confidence interval for an effect size. The most often reported analysis was analysis of variance, and almost half of these reports were not accompanied by effect sizes. Partial η2 was the most commonly reported effect size estimate for analysis of variance. For t tests, 2/3 of the articles did not report an associated effect size estimate; Cohen's d was the most often reported. We provide a straightforward guide to understanding, selecting, calculating, and interpreting effect sizes for many types of data and to methods for calculating effect size confidence intervals and power analysis.
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“A common property of statistics holds that sampling from restricted ranges of the total population usually biases ES downward, due to reduced variability (Bobko, Roth, & Bobko, 2001;Fritz, Morris, & Richler, 2012).”
From Improving fluid intelligence with training on working memory: a meta-analysis (2015) · cites this paper as Fritz, Morris, & Richler, 2012
In the citing paper
“Small-sample studies are generally more prone to bias, and the relatively large confidence intervals presented in these studies suggest high uncertainty around the point estimates [47, 48].”
From Depression, anxiety, PTSD, and OCD after stillbirth: a systematic review (2021) · cites this paper as [47]
In the citing paper
“Nevertheless, reporting the effect size and its confidence intervals continues to be uncommon (Frias-Navarro et al., 2012; Fritz et al., 2012; Peng et al., 2013).”
From Misconceptions of the p-value among Chilean and Italian Academic Psychologists (2016) · cites this paper as Fritz et al., 2012
In the citing paper
“There are several websites that offer routines/programs for computing general or specific effect size estimators and their confidence intervals (Fritz et al., 2012; Peng et al., 2013).”
From Misconceptions of the p-value among Chilean and Italian Academic Psychologists (2016) · cites this paper as Fritz et al., 2012
In the citing paper
“This ratio does not reflect the typical demographic profile of the SCI population, where males often comprise 70-80% of individuals affected, which hinders the generalizability of the review findings to this population [43].”
From Mindfulness- and acceptance-based interventions for people with spinal cord injury: a scoping review. (2025) · cites this paper as [43]
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“Effect size (r) was calculated following the formula described by Fritz, Morris, and Richler [38] and by Tomczak and Tomczak [39] for non-parametric tests.”
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“An effect size r was also calculated for each metric by dividing the z-score by the square root of n (Fritz et al., 2012).”
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“However, Carver (1993, 288) insists ‘ that attention be paid to the size of the effect, whether it is statistically signi fi cant or not ’ , a position also supported by Fritz et al. (2012, 15).”
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“where z is the z value of the Mann–Whitney test, and N is the number of the sample size (Fritz et al., 2012).”
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“In cases where other effect size measures were reported in the original study, they were converted to Pearson’s r xy (Peterson and Brown 2005, Borenstein et al 2009, Fritz et al 2012, Lakens 2013).”
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“Following Fritz, Morris, and Richler (2012), Cohen’s r should be used as a measure of the effect size for the Wilcoxon test (with r = .1, r = .3, and r = .5 indicating small, medium, or large effects).”
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“Statistical significance and ES are currently complementary, and it is recommended that they be applied together, especially for the analysis and interpretation of primary outcomes [8, 12, 13].”
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“E ff ect sizes d < 0.2 were considered as small, between 0.2 and 0.5 as medium, and > 0.5 as strong e ff ects (Fritz et al., 2012).”
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“Following prior recommendations, we ensured that our chosen effect size was “the smallest effect that would be meaningful in some practical sense” (Fritz et al., 2012, p. 18), given that large effect sizes are not common in behavioral science (Cohen, 1988, p. 284).”
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“Statistical information is presented in the following format: F(degrees of freedom), p, and the effect sizes are presented in eta-squared (η²) and Pearson’s r (following recommendations of Fritz et al., 2012).”
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“Due to variations in the assessments of empathy across the included studies, SMDs and their 95% confidence intervals were calculated to estimate the effect size based on Cohen’s guidelines: 0 to 0.2 (trivial), 0.2 to 0.5 (small), 0.5 to 0.8 (moderate), and greater than 0.80 (large) [46].”
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“The effect size of these differences was estimated using Cohen’s d. Values below 0.20 indicate a small effect, values around 0.50 indicate a moderate effect, and values above 0.80 indicate a large effect (Fritz et al., 2012).”
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“Hedges’ g was used to estimate the magnitude of the difference between means when simple effects were examined within interactions (Fritz et al. 2012).”
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“El cálculo del tamaño del efecto mediante el índice η2 evidencia que las diferencias estadísticas encontradas en las variables son independientes del tamaño del efecto, al presentar valores por encima de .039 (Fritz et al., 2012).”
BackgroundFinancial decision-making in a community sample of adults with and without current symptoms of ADHD
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Cavalcanti, J. C., Eriksson, A., & Barbosa, P. A. (2021) · PLoS ONE · doi:10.1371/journal.pone.0246645 · Cited by 27
“[42, 43]), in the present study: “speaker”.”
Jiang, Y., Gong, T., Saldivia, L. E., Cayton-Hodges, G. A., & Agard, C. (2021) · Large-scale Assessments in Education · doi:10.1186/s40536-021-00095-4 · Cited by 34
Johnson, J., Sila, A., Senthilkumar, K., Shepherd, K. D., & Saito, K. (2021) · Field Crops Research · doi:10.1016/j.fcr.2021.108222 · Cited by 27
Keren, K., Busse, M. E., Fritz, N. E., Muratori, L. M., Gazit, E., Hillel, I., Scheinowitz, M., Gurevich, T., Inbar, N., Omer, N., et al. (2021) · Frontiers in Neurology · doi:10.3389/fneur.2021.719442 · Cited by 29
Ly, L. H., Gordon, E. W., & Protopopova, A. (2021) · Frontiers in Veterinary Science · doi:10.3389/fvets.2021.784389 · Cited by 33
Cheng, J., Li, P., Tang, Y., Zhang, C., Lin, L., Gao, J. J., & Wang, Z. (2021) · Journal of Affective Disorders · doi:10.1016/j.jad.2021.11.043 · Cited by 27
Smit, D., Koerts, J., Bangma, D. F., Fuermaier, A. B. M., Tucha, L., & Tucha, O. M. (2021) · Applied Neuropsychology Adult · doi:10.1080/23279095.2021.2007387 · Cited by 27
“The sr 2 was interpreted as small ( < .01), medium (.01 – .059) or large ( > .059) (Fritz et al., 2012).”
den Berghe, P. V., Derie, R., Bauwens, P., Gerlo, J., Segers, V., Leman, M., & Clercq, D. D. (2022) · Scandinavian Journal of Medicine and Science in Sports · doi:10.1111/sms.14123 · Cited by 27
Benefits of a microprocessor-controlled prosthetic foot for ascending and descending slopes
Ernst, M., Altenburg, B., Schmalz, T., Kannenberg, A., & Bellmann, M. (2022) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-022-00983-y · Cited by 27
Xu, L., Zheng, X., Yao, S., Li, J., Fu, M., Li, K., Zhao, W., Li, H., Becker, B., & Kendrick, K. M. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119010 · Cited by 27
Calvo, L. C., Bonastre, C., Trujillo, C. R. C., Resino, D. A., & Gil, D. G. (2023) · Education Sciences · doi:10.3390/educsci13050459 · Cited by 27
Vankelecom, L., Loeys, T., & Moerkerke, B. (2024) · Advances in Methods and Practices in Psychological Science · doi:10.1177/25152459231212128 · Cited by 30
“In the second place, techniques such as using estimates of the population effect published in related literature (e.g., a meta-analysis or a previous similar study; Fritz et al., 2012; Polit & Beck, 2004) for the sample-size calculation of the current study generally lead to underpowered studies.”
MethodCatelas, I., Lehoux, E. A., Hurda, I., Baskey, S. J., Gala, L., Foster, R. C. B., Kim, P. R., & Beaulé, P. E. (2015) · Clinical Orthopaedics and Related Research · doi:10.1007/s11999-015-4466-8 · Cited by 27
“data, adjusted Cohen’s d ES for nonparametric data [7, 20] and confidence intervals (CIs) for Cohen’s d and adjusted”
Adlof, S. M., McLeod, A. N., & Leftwich, B. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.00391 · Cited by 27
Fostering pre-service teachers’ views about nature of science: evaluation of a new STEM curriculum
Krell, M., Koska, J., Penning, F., & Krüger, D. (2015) · Research in Science & Technological Education · doi:10.1080/02635143.2015.1060411 · Cited by 27
“This approximately represents a medium effect size (.50 ≤ g .80) (Fritz, Morris, and Richler 2012).”
BackgroundMethodInfluentialCameron, J., Thompson, D. R., Szer, D., Greig, J., & Ski, C. F. (2017) · Journal of Clinical Nursing · doi:10.1111/jocn.13836 · Cited by 27
“Effect size was calculated as r = z / √N (Fritz et al. 2012).”
MethodA comparison of sleep patterns in youth soccer players and non-athletes
Whitworth‐Turner, C. M., Michele, R. D., Muir, I. H., Gregson, W. A., & Drust, B. (2017) · Science and Medicine in Football · doi:10.1080/24733938.2017.1366040 · Cited by 27
“The magnitude of PS was interpreted according to the proposed correspondence between PS and Cohen’s d (Fritz et al. 2012).”
MethodUsing unexpected questions to elicit information and cues to deceit in interpreter‐based interviews
Vrij, A., Leal, S., Mann, S. A., Fisher, R. P., Dalton, G., Jo, E., Шаболтас, А. В., Khaleeva, M., Granskaya, J. V., & Houston, K. A. (2018) · Applied Cognitive Psychology · doi:10.1002/acp.3382 · Cited by 28
“In this article, we are interested in the practical relevance of the effect and d-values are indicators of practical relevance (Fritz et al., 2012).”
BackgroundFischer, J., Sander, E., Sensevy, G., Vilette, B., & Richard, J. (2018) · European Journal of Psychology of Education · doi:10.1007/s10212-018-0384-y · Cited by 27
Klaassen, L. A., Dirksen, C. D., Boersma, L. J., Hoving, C., Portz, M. J. G., Mertens, P. M. G., Janssen-Engelen, I. L. E., Lenssen, A. M. M. R. N., Marais, M. B. C., Starren-Goessens, C. M. J., et al. (2018) · The Breast · doi:10.1016/j.breast.2018.06.015 · Cited by 27
“Since effect sizes are less influenced by sample size effects than significance levels [29] and a relatively small sample was used in this pilot test, effect sizes (h(2)p) (0.”
MethodExploring attentional focus of older adult fallers during heightened postural threat
Ellmers, T. J., Cocks, A. J., & Young, W. R. (2019) · Psychological Research · doi:10.1007/s00426-019-01190-6 · Cited by 30
Cook, N. E., Kelshaw, P. M., Caswell, S. V., & Iverson, G. L. (2019) · The Journal of Pediatrics · doi:10.1016/j.jpeds.2019.07.048 · Cited by 27
Metadata
- Authors
- Fritz, C. O., Morris, P. E., & Richler, J. J.
- Affiliations
- Lancaster University (GB)
- ORCID
- Richler, Jennifer J.
- Venue
- Journal of Experimental Psychology: General
- Published
- 2012
- Volume
- 141
- Issue
- 1
- Pages
- 2-18
- ISSN
- 0096-3445 (ISSN-L)
- 1939-2222
- OpenAlex
- W2148540129
- Cited by
- 5,199
- References
- 52
- Citations by year
- 2026: 484 · 2025: 626 · 2024: 516 · 2023: 502 · 2022: 581 · 2021: 607 · 2020: 491 · 2019: 339 · 2018: 293 · 2017: 239 · 2016: 198 · 2015: 138 · 2014: 86 · 2013: 67 · 2012: 21
- FWCI
- 61.22
- Type
- journal article
- Language
- en
- Update notices
- correction (2011-10-24)
- Open access
- closed
- Locations
- Journal of Experimental Psychology General (publishedVersion)
- PubMed (publishedVersion)
- Lancaster EPrints (Lancaster University) (submittedVersion)
- 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
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Keywords
- effect size, effect size reporting, confidence intervals, power analysis, partial eta squared, Cohen's d, analysis of variance, t-test, statistical reporting
- MeSH terms
- Data Interpretation, Statistical, Humans, Research Design, Statistics as Topic, Sample Size
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