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dc.contributor.advisorBarker, Donald G.
dc.creatorPage, Nell Willis
dc.description.abstractThe WISC and ITPA subtest scores pf 150 learning disabled children were submitted to canonical analysis. Five canonical roots emerged. When the data were further analyzed on the basis of age classification, two roots were obtained for children under the age of eight years and four roots were obtained for children above the age of eight years. Differentiation of ability was evident with increase in age. This study also examined intercorrelations between subtest scores of the two instruments and between subtest scores within each instrument. The results indicated significant correlations especially between three ITPA subtests and WISC verbal subtests. A multiple regression analysis was conducted to determine: (1) the predictive validity of ITPA subtests for the following criterion variables; Verbal Scale Score, Performance Scale Score, and Full Scale Score and (2) the predictive validity of WISC subtests for the ITPA Psycholinguistic Age Scores. All of the obtained validities were significant at the 0.01 level of confidence with the best predictive validity being ITPA subtest scores in predicting WISC Full Scale Scores. Implications of the finding of this investigation for the assessment of learning disabilities in children are given.en
dc.format.extent96 leavesen
dc.rightsThis thesis was part of a retrospective digitization project authorized by the Texas A&M University Libraries. Copyright remains vested with the author(s). It is the user's responsibility to secure permission from the copyright holder(s) for re-use of the work beyond the provision of Fair Use.en
dc.titleRelationships of the Wechsler Intelligence Scale for Children and the Illinois Test of Psycholinguistic abilities when administered to learning disabled childrenen
dc.typeThesisen Psychologyen A&M Universityen of Philosophyen
dc.contributor.committeeMemberDavis, Dan R.
dc.contributor.committeeMemberMcCandless, Charles E.
dc.format.digitalOriginreformatted digitalen
dc.publisher.digitalTexas A&M University. Libraries

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