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Coefficients of Association Analogous to Pearson's r for nonparametric Statistics

Bibliographic Data

ID20285936
AuthorsGordon R Stavig (University of Southern California), Alan C Acock (University of Oklahoma)
Year1980
Volume40
Issue3
Pages679-685
Publication date1980-10-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEducational and Psychological Measurement (JOURNAL)
Journal identifiersISSN: 0013-1644 • E-ISSN: 1552-3888
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/001316448004000311
OpenAlexW2093664549
LanguageEN
Citations received1
References cited8

The r z and r p coefficients of association are discussed. Both coefficients, like Pearson's r, are based on a z/z max framework. They yield coefficients directly comparable for all levels of measurement being based on an obtained/maximum departure from independence in z units interpretation. The r z coefficient can be applied to any nonparametric test statistic in which a normal approximation equation is appropriate. The r p coefficient is applicable to any nonparametric test statistic in which exact probabilities are known

Independence (probability theory) · Nonparametric statistics · Pearson product-moment correlation coefficient · Statistic · Statistical hypothesis testing · Statistics · Test statistic · Advanced Statistical Methods and Models · Mathematics · Reliability and Agreement in Measurement · Statistical Methods and Applications

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Unique citing works1
Citations per year0.02
Citation span1985 - 1985 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

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