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Generalizing the common language effect size indicator to bivariate normal correlations

Bibliographic Data

ID7983095
AuthorsWilliam P Dunlap (Tulane University, corresponding author)
Year1994
Volume116
Issue3
Pages509-511
Publication date1994-11-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenuePsychological Bulletin (JOURNAL)
Journal identifiersISSN: 0033-2909 • E-ISSN: 1939-1455
PublisherAmerican Psychological Association (APA) (PUBLISHER)
DOI10.1037/0033-2909.116.3.509
OpenAlexW1975507628
LanguageEN
Citations received11
References cited3

Bivariate analysis · Correlation · Econometrics · Statistics · Mathematics · Natural Language Processing Techniques · Psychology

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    Open Access•Yi-Sheng Wong, Adrian R Willoughby et al.•Consciousness and Cognition•2022

  • Common language effect size for correlations

    Xiaofeng Steven Liu, Ryan G Carlson et al.•The Journal of General Psychology•2019

  • Meaningful approaches to assessing the size of effects in memory research

    Paul Riesthuis, Mark L Howe et al.•Memory•2025

  • The Cost of Dichotomization

    Open Access•Jacob Cohen•Applied Psychological Measurement•1983

  • Bivariate median splits and spurious statistical significance

    Scott E Maxwell, Harold D Delaney•Psychological Bulletin•1993

  • A common language effect size statistic

    Kenneth O Mcgraw, P Wong et al.•Psychological Bulletin•1992

Unique citing works11
Citations per year0,46
Citation span2002 - 2025 (24)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 10

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