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Effect Size Guidelines, Sample Size Calculations, and Statistical Power in Gerontology

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Brydges, Christopher R·2019·Innovation in Aging

DOI 10.1093/geroni/igz036PMC PMC6736231

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Abstract

Background and Objectives: Researchers typically use Cohen’s guidelines of Pearson’s r = .10, .30, and .50, and Cohen’s d = 0.20, 0.50, and 0.80 to interpret observed effect sizes as small, medium, or large, respectively. However, these guidelines were not based on quantitative estimates and are only recommended if field-specific estimates are unknown. This study investigated the distribution of effect sizes in both individual differences research and group differences research in gerontology to provide estimates of effect sizes in the field. Research Design and Methods: Effect sizes (Pearson’s r, Cohen’s d, and Hedges’ g) were extracted from meta-analyses published in 10 top-ranked gerontology journals. The 25th, 50th, and 75th percentile ranks were calculated for Pearson’s r (individual differences) and Cohen’s d or Hedges’ g (group differences) values as indicators of small, medium, and large effects. A priori power analyses were conducted for sample size calculations given the observed effect size estimates. Results: Effect sizes of Pearson’s r = .12, .20, and .32 for individual differences research and Hedges’ g = 0.16, 0.38, and 0.76 for group differences research were interpreted as small, medium, and large effects in gerontology. Discussion and Implications: Cohen’s guidelines appear to overestimate effect sizes in gerontology. Researchers are encouraged to use Pearson’s r = .10, .20, and .30, and Cohen’s d or Hedges’ g = 0.15, 0.40, and 0.75 to interpret small, medium, and large effects in gerontology, and recruit larger samples.

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Authors: Brydges, C. R.
Affiliations: Colorado State University (US)
Corresponding author: Brydges, Christopher R
ORCID: Brydges, Christopher R
Venue: Innovation in Aging
Publisher: Oxford University Press (OUP)
Published: 2019-08-01
Volume: 3
Issue: 4
Pages: igz036-igz036
ISSN: 2399-5300 (ISSN-L)
DOI: 10.1093/geroni/igz036
PMC: PMC6736231
OpenAlex: W2972140183
Cited by: 826
References: 32
Citations by year: 2026: 212 · 2025: 212 · 2024: 168 · 2023: 90 · 2022: 68 · 2021: 56 · 2020: 18 · 2019: 1
FWCI: 23.92
Type: journal article
Language: en
Open access: gold
doi.org
Licence: cc-by
creativecommons.org/licenses/by/4.0/ (vor, 34 d)
Locations: Innovation in Aging (publishedVersion, cc-by)
PubMed Central (publishedVersion, cc-by)
PubMed (publishedVersion)
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 interpretation, Cohen's d, Hedges' g, Pearson correlation, sample size determination, statistical power, gerontology, individual differences, group differences, meta-analysis, effect size distribution, aging research

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Effect Size Guidelines, Sample Size Calculations, and Statistical Power in Gerontology

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