Effect Size Extraction
Effect Size Extraction is a data extraction technique that identifies and quantifies the magnitude of an observed phenomenon or relationship within a dataset by isolating standardized measures of effect from primary research outputs.
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3.3K
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67
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41
Institutions
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2017–2026
9
Parents
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Correlational effect size benchmarks.
Frank A. Bosco, Herman Aguinis, Kulraj Singh et al. · Journal of Applied Psychology · 2014 · 765 citations
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Stanford University
Stanford, United States
2 h-index
2 publications
879 citations
Protein Metrics (United States)
San Carlos, United States
2 h-index
2 publications
879 citations

UNSW Sydney
Sydney, Australia
2 h-index
6 publications
789 citations
University of Cambridge
Cambridge, United Kingdom
2 h-index
2 publications
879 citations
University of Florida
Gainesville, United States
2 h-index
6 publications
384 citations
St Vincent's Hospital Melbourne
Melbourne, Australia
1 h-index
3 publications
75 citations
University of Memphis
Memphis, United States
1 h-index
1 publications
765 citations

Johns Hopkins University
Baltimore, United States
1 h-index
1 publications
27 citations
1–8 of 41
Repository · 2 publications · 149 citations
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1 publications · 10 citations
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1 publications · 765 citations
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1 publications · 18 citations
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1 publications · 38 citations
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