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Regression Effects When the Assumption of Rectilinearity is Not Tenable

Please use this identifier to cite or link to this item: http://hdl.handle.net/1811/22522

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dc.creator Pohlman, John T. en_US
dc.creator Newman, Isadore en_US
dc.date.accessioned 2006-07-07T01:41:06Z
dc.date.available 2006-07-07T01:41:06Z
dc.date.issued 1978-03 en_US
dc.identifier.citation The Ohio Journal of Science. v78, n2 (March, 1978), 96-99 en_US
dc.identifier.issn 0030-0950 en_US
dc.identifier.uri http://hdl.handle.net/1811/22522
dc.description Author Institution: Department of Guidance and Educational Psychology, Southern Illinois University; Department of Educational Foundations, University of Akron en_US
dc.description.abstract When analyzing data which deals with repeated testing, one may find that extreme scores are regressing away from the mean, contrary to what one would expect based on the regression effect. This paper discusses the regression effect and presents the argument that when these contrary results occur, they are indicative of the violation of the underlying assumption of rectilinearity. One should be required to look for non-linear relationships when interpreting such data. In addition, three methods for determining whether or not non-linear relationships exist in data are suggested and briefly discussed. en_US
dc.format.extent 284021 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.title Regression Effects When the Assumption of Rectilinearity is Not Tenable en_US