Using PEAK Relational Training to Teach Advanced Language

Instructors evaluated the efficacy of the PEAK Transformation module in establishing derived relations among coordination, comparison, opposition, distinction, hierarchical, and deictic relational frame families with three children with autism. A total of nine different skills were trained and asses...

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Main Author: Tavernor, Rebecca Jean
Format: Others
Published: OpenSIUC 2017
Online Access:https://opensiuc.lib.siu.edu/theses/2267
https://opensiuc.lib.siu.edu/cgi/viewcontent.cgi?article=3282&context=theses
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spelling ndltd-siu.edu-oai-opensiuc.lib.siu.edu-theses-32822018-12-20T04:42:29Z Using PEAK Relational Training to Teach Advanced Language Tavernor, Rebecca Jean Instructors evaluated the efficacy of the PEAK Transformation module in establishing derived relations among coordination, comparison, opposition, distinction, hierarchical, and deictic relational frame families with three children with autism. A total of nine different skills were trained and assessed to determine if untrained relations with novel stimuli emerged. Baseline confirmed that the participants in fact could not derive the relations of their target skills. In the training phase, the participants were taught multiple exemplars of each relational frame, and were then tested for the emergence of derived relations. Based on the data collected during the testing phase, mastery of the skills was achieved for all of the nine total programs conducted. The results based on the testing phase of the current study suggest that by using the procedures and programs in the PEAK Transformation module, children with autism can derive relations among arbitrary stimuli to general settings. The results also suggest that the procedures can be generalized across populations in clinical and home based settings. Keywords: Arbitrary Stimuli, Autism, derived relations, PEAK, Relational Frame Theory 2017-12-01T08:00:00Z text application/pdf https://opensiuc.lib.siu.edu/theses/2267 https://opensiuc.lib.siu.edu/cgi/viewcontent.cgi?article=3282&context=theses Theses OpenSIUC
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format Others
sources NDLTD
description Instructors evaluated the efficacy of the PEAK Transformation module in establishing derived relations among coordination, comparison, opposition, distinction, hierarchical, and deictic relational frame families with three children with autism. A total of nine different skills were trained and assessed to determine if untrained relations with novel stimuli emerged. Baseline confirmed that the participants in fact could not derive the relations of their target skills. In the training phase, the participants were taught multiple exemplars of each relational frame, and were then tested for the emergence of derived relations. Based on the data collected during the testing phase, mastery of the skills was achieved for all of the nine total programs conducted. The results based on the testing phase of the current study suggest that by using the procedures and programs in the PEAK Transformation module, children with autism can derive relations among arbitrary stimuli to general settings. The results also suggest that the procedures can be generalized across populations in clinical and home based settings. Keywords: Arbitrary Stimuli, Autism, derived relations, PEAK, Relational Frame Theory
author Tavernor, Rebecca Jean
spellingShingle Tavernor, Rebecca Jean
Using PEAK Relational Training to Teach Advanced Language
author_facet Tavernor, Rebecca Jean
author_sort Tavernor, Rebecca Jean
title Using PEAK Relational Training to Teach Advanced Language
title_short Using PEAK Relational Training to Teach Advanced Language
title_full Using PEAK Relational Training to Teach Advanced Language
title_fullStr Using PEAK Relational Training to Teach Advanced Language
title_full_unstemmed Using PEAK Relational Training to Teach Advanced Language
title_sort using peak relational training to teach advanced language
publisher OpenSIUC
publishDate 2017
url https://opensiuc.lib.siu.edu/theses/2267
https://opensiuc.lib.siu.edu/cgi/viewcontent.cgi?article=3282&context=theses
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