Date of Award
Spring 5-29-2019
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Computational and Data Sciences
First Advisor
Erik J. Linstead, Ph.D.
Second Advisor
Elizabeth Stevens, Ph.D.
Third Advisor
Dennis Dixon, Ph.D.
Abstract
The focus of this study was to explore the impact of challenging behaviors on Applied Behaviors Analysis treatment in Autism Spectrum Disorder. The prevalence of ASD is on the rise, so it is important that we understand how patients are responding to treatment. In this study, we cluster patients (N=854) based on their eight observed challenging behaviors using k-means, a machine learning algorithm, and then perform a multiple linear regression analysis to find significant differences between average exemplars mastered. The goal of this study was to expand the research in the area of ABA treatment for ASD and to help provide more insight helpful for creating personalized therapeutic interventions with maximum efficacy, minimum time and minimum cost for individuals.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Recommended Citation
J. Hoag, "Exploring the impact of challenging behaviors on treatment efficacy in Autism Spectrum Disorder," M. S. thesis, Chapman University, Orange, CA, 2019. https://doi.org/10.36837/chapman.000077