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dc.contributor.advisorSabers, Darrellen_US
dc.contributor.authorShiroma, Paul Shigeo, 1960-
dc.creatorShiroma, Paul Shigeo, 1960-en_US
dc.date.accessioned2013-03-28T10:25:36Z
dc.date.available2013-03-28T10:25:36Z
dc.date.issued1989en_US
dc.identifier.urihttp://hdl.handle.net/10150/277013
dc.description.abstractThe correlation coefficient between an ability test and achievement test is necessary in order to estimate the effects of the regression of IQ on achievement when calculating a discrepancy between them for the purpose of classifying a child as learning disabled. Weighted mean correlations and their respective variances were computed across studies for one of 11 ability-achievement test pairs using a meta-analysis procedure called Validity Generalization. The results indicated that there is no "global correlation coefficient" that will accurately represent the relationship between all ability and achievement tests. Furthermore, critical data necessary to adjust correlations and their respective variances for statistical artifacts were not reported in the literature. Thus, the results obtained from the subgroups could be due to capitalization on chance.
dc.language.isoen_USen_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.subjectAchievement tests -- Validity.en_US
dc.subjectAbility -- Testing.en_US
dc.titleCalculating the correlation coefficient between selected ability and achievement tests using validity generalizationen_US
dc.typetexten_US
dc.typeThesis-Reproduction (electronic)en_US
dc.identifier.oclc22267079en_US
thesis.degree.grantorUniversity of Arizonaen_US
thesis.degree.levelmastersen_US
dc.identifier.proquest1336903en_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.disciplineEducational Foundations and Administrationen_US
thesis.degree.nameM.A.en_US
dc.identifier.bibrecord.b17389525en_US
refterms.dateFOA2018-09-04T03:38:38Z
html.description.abstractThe correlation coefficient between an ability test and achievement test is necessary in order to estimate the effects of the regression of IQ on achievement when calculating a discrepancy between them for the purpose of classifying a child as learning disabled. Weighted mean correlations and their respective variances were computed across studies for one of 11 ability-achievement test pairs using a meta-analysis procedure called Validity Generalization. The results indicated that there is no "global correlation coefficient" that will accurately represent the relationship between all ability and achievement tests. Furthermore, critical data necessary to adjust correlations and their respective variances for statistical artifacts were not reported in the literature. Thus, the results obtained from the subgroups could be due to capitalization on chance.


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