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dc.contributor.advisorFrisby, Craig L.eng
dc.contributor.authorMcGlaughlin, Sean, 1977-eng
dc.coverage.spatialMiddle Westeng
dc.date.issued2008eng
dc.date.submitted2008 Falleng
dc.descriptionTitle from PDF of title page (University of Missouri--Columbia, viewed on November 10, 2010).eng
dc.descriptionThe entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract appears in the public.pdf file.eng
dc.descriptionDissertation advisor: Dr. Craig L. Frisbyeng
dc.descriptionVita.eng
dc.descriptionPh. D. University of Missouri--Columbia 2008.eng
dc.description.abstractLevel, shape and scatter are three characteristics of profiles that determine the specific focus of profile analysis procedures. In this study, three methods of profile analysis that emphasize each of these characteristics are analyzed: cluster analysis (which distinguishes profiles by level), modal profile analysis (which distinguishes profiles by shape) and configural frequency analysis (which distinguishes profiles by scatter). Within a group of college student's struggling with mathematics, these three profile analysis methods are used to form three distinct subtype grouping schemes. The profile subgroups resulting from each of the three profile analysis methods are compared to previously identified clinical subgroups. Results indicate that the best method to correspond with clinical subgroups is cluster analysis, which emphasizes level.eng
dc.description.bibrefIncludes bibliographical references (p. 156-167).eng
dc.format.extent192 pageseng
dc.identifier.oclc681908520eng
dc.identifier.urihttps://hdl.handle.net/10355/9092
dc.identifier.urihttps://doi.org/10.32469/10355/9092eng
dc.languageEnglisheng
dc.publisherUniversity of Missouri--Columbiaeng
dc.relation.ispartofcommunityUniversity of Missouri--Columbia. Graduate School. Theses and Dissertationseng
dc.rightsOpenAccess.eng
dc.rights.licenseThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License.
dc.subject.lcshMathematical ability -- Statisticseng
dc.subject.lcshMathematical ability -- Study and teaching (Higher)eng
dc.subject.lcshNonverbal learning disabilitieseng
dc.titleA profile analysis of diagnostic data from college students experiencing math difficultyeng
dc.typeThesiseng
thesis.degree.disciplineEducational, school and counseling psychology (MU)eng
thesis.degree.grantorUniversity of Missouri--Columbiaeng
thesis.degree.levelDoctoraleng
thesis.degree.namePh. D.eng


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