Statistical Power Analysis for the Behavioral Sciences
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Suggested effect size values are small (0.2), medium (0.5), and large (0.8).
“The suggested values for effect size were employed: small (0.2), medium (0.5), and large (0.8). 59”
From Fostering Motivation toward Chemistry through Augmented Reality Educational Escape Activities. A Self-Determination Theory Approach (2022) · cites this paper as [59]
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“T hi s ar tic le is in te nd ed so le ly fo r th e pe rs on al us e of th e in di vi du al us er an d is no t to be di ss em in at ed br oa dl y. small (d .20 to .49), medium (d .50 to .79), and large (above d .80; Cohen, 1988).”
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“Where t tests were used, we report Cohen’s d values as an index of effect size ( 0.20 small effect, 0.50 moderate effect; 0.80 large effect; Cohen, 1969).”
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“The effect size of the difference, expressed in partial eta square (η ), shows that this two-way interaction accounts for 49.1% of the variance in RV scores, which represents a large effect size (Cohen, 1988).”
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“The Cohen’s d effect size represents small ( d =0.20), moderate ( d =0.50) and large effects ( d =0.80)[ 36,37].”
Influential
- Authors
- Wassertheil, S., & Cohen, J.
- Venue
- Biometrics
- Publisher
- JSTOR
- Published
- 1970-09
- Volume
- 26
- Issue
- 3
- Pages
- 588
- ISSN
- 0006-341X (ISSN-L)
- OpenAlex
- W2797868916
- Cited by
- 1,383
- References
- 0
- Citations by year
- 2026: 8 · 2025: 39 · 2024: 88 · 2023: 74 · 2022: 75 · 2021: 73 · 2020: 66 · 2019: 59 · 2018: 42 · 2017: 46 · 2016: 31 · 2015: 39 · 2014: 33 · 2013: 33 · 2012: 31
- FWCI
- 16.52
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Biometrics (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Keywords
- statistical power analysis, sample size determination, hypothesis testing, type II error, behavioral science
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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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