Sociodemographic risk factors for mild mental retardation, borderline intellectual functioning and specific learning disorders in a South African clinic sample

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dc.contributor.advisorKaminer, Debbieen_ZA
dc.contributor.authorMitchell, Oliver Guyen_ZA
dc.date.accessioned2015-01-01T12:50:30Z
dc.date.available2015-01-01T12:50:30Z
dc.date.issued2010en_ZA
dc.description.abstractEarly identification of children with cognitive disabilities is crucial for effective intervention. Although international research has identified a number of sociodemographic risk factors that are associated with cognitive disability, there is a lack of South African data that could assist with the development of risk profiles that can help with the early identification of children at risk of having a cognitive disability. The aim of this study was to identify sociodemographic factors associated with a heightened risk of being diagnosed with Mild Mental Retardation (MMR), Borderline Intellectual Functioning (BIF), or a Specific Learning Disorder (SLD), in a clinic sample of South African childrenen_ZA
dc.identifier.apacitationMitchell, O. G. (2010). <i>Sociodemographic risk factors for mild mental retardation, borderline intellectual functioning and specific learning disorders in a South African clinic sample</i>. (Thesis). University of Cape Town ,Faculty of Humanities ,Department of Psychology. Retrieved from http://hdl.handle.net/11427/10882en_ZA
dc.identifier.chicagocitationMitchell, Oliver Guy. <i>"Sociodemographic risk factors for mild mental retardation, borderline intellectual functioning and specific learning disorders in a South African clinic sample."</i> Thesis., University of Cape Town ,Faculty of Humanities ,Department of Psychology, 2010. http://hdl.handle.net/11427/10882en_ZA
dc.identifier.citationMitchell, O. 2010. Sociodemographic risk factors for mild mental retardation, borderline intellectual functioning and specific learning disorders in a South African clinic sample. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Mitchell, Oliver Guy AB - Early identification of children with cognitive disabilities is crucial for effective intervention. Although international research has identified a number of sociodemographic risk factors that are associated with cognitive disability, there is a lack of South African data that could assist with the development of risk profiles that can help with the early identification of children at risk of having a cognitive disability. The aim of this study was to identify sociodemographic factors associated with a heightened risk of being diagnosed with Mild Mental Retardation (MMR), Borderline Intellectual Functioning (BIF), or a Specific Learning Disorder (SLD), in a clinic sample of South African children DA - 2010 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2010 T1 - Sociodemographic risk factors for mild mental retardation, borderline intellectual functioning and specific learning disorders in a South African clinic sample TI - Sociodemographic risk factors for mild mental retardation, borderline intellectual functioning and specific learning disorders in a South African clinic sample UR - http://hdl.handle.net/11427/10882 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/10882
dc.identifier.vancouvercitationMitchell OG. Sociodemographic risk factors for mild mental retardation, borderline intellectual functioning and specific learning disorders in a South African clinic sample. [Thesis]. University of Cape Town ,Faculty of Humanities ,Department of Psychology, 2010 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/10882en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Psychologyen_ZA
dc.publisher.facultyFaculty of Humanitiesen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherClinical Psychologyen_ZA
dc.titleSociodemographic risk factors for mild mental retardation, borderline intellectual functioning and specific learning disorders in a South African clinic sampleen_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMAen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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