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Statistical Power Analysis for the Behavioral Sciences
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“Based on Cohen's (1988) guidelines for interpreting effect sizes (Hedges'g), an effect size smaller than 0.2 is considered negligible, 0.2-0.5 is small, 0.5-0.8 is moderate, and greater than 0.8 is large.”
From Concept mapping in STEM education: a meta-analysis of its impact on students' achievement (2004–2023) (2025) · cites this paper as Cohen's (1988)
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Metadata
- Venue
- Elsevier eBooks
- Publisher
- Elsevier
- Published
- 1977
- OpenAlex
- W4300869678
- Cited by
- 2,457
- References
- 0
- Citations by year
- 2026: 21 · 2025: 57 · 2024: 78 · 2023: 100 · 2022: 102 · 2021: 101 · 2020: 132 · 2019: 107 · 2018: 116 · 2017: 87 · 2016: 66 · 2015: 76 · 2014: 53 · 2013: 55 · 2012: 59
- FWCI
- 10.41
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Elsevier eBooks (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Psychology Research and Bibliometrics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Keywords
- statistical power analysis, statistical power, sample size determination, effect size, hypothesis testing, 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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