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dc.contributor.authorRobinson, Daniel H.
dc.contributor.authorLevin, Joel R.
dc.date.accessioned2017-09-15T20:47:34Z
dc.date.available2017-09-15T20:47:34Z
dc.date.issued11-1-2010
dc.identifier.citationPublished in Journal of Modern Applied Statistical Methods 9(2):332-339, November 2010en_US
dc.identifier.issn1538 – 9472
dc.identifier.urihttp://hdl.handle.net/10106/26928
dc.description.abstractRodgers (2010) recently applauded a revolution involving the increased use of statistical modeling techniques. It is argued that such use may have a downside, citing empirical evidence in educational psychology that modeling techniques are often applied in cross-sectional, correlational studies to produce unjustified causal conclusions and prescriptive statements.en_US
dc.language.isoen_USen_US
dc.publisherDigital Commons@WayneStateen_US
dc.publisherWayne State University Pressen_US
dc.subjectStatistical modelingen_US
dc.subjectModeling techniquesen_US
dc.subjectCorrelational studiesen_US
dc.subjectEducational psychologyen_US
dc.titleThe Not-So-Quiet Revolution: Cautionary Comments on the Rejection of Hypothesis Testing in Favor of a “Causal” Modeling Alternativeen_US
dc.typeArticleen_US
dc.publisher.departmentDepartment of Curriculum and Instruction, The University of Texas at Arlingtonen_US
dc.identifier.externalLinkhttp://digitalcommons.wayne.edu/jmasm/vol9/iss2/2
dc.identifier.externalLinkDescriptionThe original publication is available at Article DOIen_US
dc.identifier.externalLinkDescriptionThe original publication is available at the journal homepageen_US
dc.rights.licensePublished open access through DigitalCommons@WayneState
dc.identifier.doiDOI: 10.22237/jmasm/1288584060


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