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dc.contributor.authorRosenthal, Robert
dc.contributor.authorRubin, Donald B.
dc.contributor.authorMeng, Xiao-Li
dc.date.accessioned2014-02-19T17:44:30Z
dc.date.issued1992
dc.identifierQuick submit: 2014-01-29T11:55:33-05:00
dc.identifier.citationRosenthal, Robert, Donald Rubin and Xiao-Li Meng. 1992. "Comparing Correlated Correlation Coefficients." Psychological Bulletin 111, No. 1: 172-175.en_US
dc.identifier.issn0033-2909en_US
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:11718225
dc.description.abstractThe purpose of this article is to provide simple but accurate methods for comparing correlation coefficients between a dependent variable and a set of independent variables. The methods are simple extensions of Dunn & Clark's (1969) work using the Fisher z transformation and include a test and confidence interval for comparing two correlated correlations, a test for heterogeneity, and a test and confidence interval for a contrast among k (>2) correlated correlations. Also briefly discussed is why the traditional Hotelling's t test for comparing correlated correlations is generally not appropriate in practice.en_US
dc.description.sponsorshipPsychologyen_US
dc.description.sponsorshipStatisticsen_US
dc.language.isoen_USen_US
dc.publisherAmerican Psychological Associationen_US
dash.licenseMETA_ONLY
dc.titleComparing Correlated Correlation Coefficientsen_US
dc.typeJournal Articleen_US
dc.date.updated2014-01-29T16:57:01Z
dc.description.versionVersion of Recorden_US
dc.rights.holderRosenthal, Robert
dc.relation.journalPsychological Bulletinen_US
dash.depositing.authorRosenthal, Robert
dash.embargo.until10000-01-01
workflow.legacycommentsFLAG2 Cannot archive publisher's version per Sherpa Romeo.en_US
dash.contributor.affiliatedMeng, Xiao-li
dash.contributor.affiliatedRubin, Donald
dash.contributor.affiliatedRosenthal, Robert


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