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dc.contributor.authorYates, Heather
dc.date.accessioned2014-03-24T13:27:33Z
dc.date.available2014-03-24T13:27:33Z
dc.date.issued2014-03-24
dc.identifier.urihttp://hdl.handle.net/10464/5269
dc.description.abstractBehavioral researchers commonly use single subject designs to evaluate the effects of a given treatment. Several different methods of data analysis are used, each with their own set of methodological strengths and limitations. Visual inspection is commonly used as a method of analyzing data which assesses the variability, level, and trend both within and between conditions (Cooper, Heron, & Heward, 2007). In an attempt to quantify treatment outcomes, researchers developed two methods for analysing data called Percentage of Non-overlapping Data Points (PND) and Percentage of Data Points Exceeding the Median (PEM). The purpose of the present study is to compare and contrast the use of Hierarchical Linear Modelling (HLM), PND and PEM in single subject research. The present study used 39 behaviours, across 17 participants to compare treatment outcomes of a group cognitive behavioural therapy program, using PND, PEM, and HLM on three response classes of Obsessive Compulsive Behaviour in children with Autism Spectrum Disorder. Findings suggest that PEM and HLM complement each other and both add invaluable information to the overall treatment results. Future research should consider using both PEM and HLM when analysing single subject designs, specifically grouped data with variability.en_US
dc.language.isoengen_US
dc.publisherBrock Universityen_US
dc.subjectObsessive-compulsive behavior, Cognitive behavioural therapy, autismen_US
dc.titleCognitive Behavior Therapy for Obsessive-Compulsive Behavior in Children with Autism Spectrum Disorder: A Comparison of Hierarchical Linear Modelling and Visual Analysisen_US
dc.typeElectronic Thesis or Dissertationen_US
dc.degree.nameM.A. Applied Disability Studiesen_US
dc.degree.levelMastersen_US
dc.contributor.departmentCenter for Applied Disability Studiesen_US
dc.degree.disciplineFaculty of Social Sciencesen_US
dc.embargo.termsNoneen_US
refterms.dateFOA2021-08-02T01:44:31Z


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