"Speech-language pathologists on the autism spectrum" by Rebecca Freeman Barnett

Date Approved

2022

Degree Type

Open Access Thesis

Degree Name

Master of Arts (MA)

Department or School

Special Education and Communication Sciences and Disorders

Committee Member

Lidia Lee, Ph.D., CCC-A

Committee Member

Audrey Farrugia, Ph.D., CCC-SLP

Committee Member

Sally Burton-Hoyle, Ed.D.

Abstract

This thesis consists of three journal articles for publication that addresses three different aspects of the research that examines the state of diversity in the field of speech-language pathology (SLP) as it pertains to autistic representation and possible implications. In the first article, Demographic Analysis of Autistic Speech-Language Pathologists, the purpose was to determine the demographic differences between SLPs that identified on the autism spectrum and those that did not. A mass survey was conducted of SLPs in the states of Wisconsin, Michigan, and Ohio. It was concluded that 2.98% of SLPs self-identified on the autism spectrum. Chi-square analyses found statistically significant differences in gender, pronouns, and preference for disability accommodations. In article 2, Clinical Tendencies of Autistic Speech-Language Pathologists, the purpose of this study was to compare autistic and non-autistic SLPs’ clinical tendencies toward autistic clients. A mass survey was conducted of SLPs in the states of Wisconsin, Michigan, and Ohio; in addition, autistic SLPs were recruited from online communities. Chi-square analyses found significant differences in preferences for autism assessments and interventions, clientcentered practice, and anti-autism stigma, but no significant differences were observed in rapport/progress and knowledge of autism. In article 3, Clinical Correlates of Speech-Language Pathologist Autism Preferences, the primary purpose of this study was to draw correlations between SLP preferences for particular autism assessments/interventions and preferences in clinical practice using the same set of data. Aggregated responses were analyzed using Spearman’s correlations and indicated weak associations between autism assessments/interventions and measures of self-reported client-centeredness, client rapport and progress, anti-autism stigma, and knowledge about autism.

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