Exploring the Impact of Challenging Behaviors on Treatment Efficacy in Autism Spectrum Disorder

<p>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.</p>

Name thesis:degree_name

Master of Science (MS)

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Computational and Data Sciences

Year

2019

Author dc:creator

• Hoag, Juliana

Contributors dc:contributor

• Erik J. Linstead, Ph.D.
• Elizabeth Stevens, Ph.D.
• Dennis Dixon, Ph.D.

• Autism
• Challenging Behaviors
• Treatment
• Machine Learning
• Other Psychiatry and Psychology

Repository record dc:identifier

https://digitalcommons.chapman.edu/cads_theses/4

OAI identifier oai:identifier

oai:digitalcommons.chapman.edu:cads_theses-1003