Understanding the Relationship Between Self-Determination Skills and Quality of Life of College Students with Autism

Using the World Health Organization Quality of Life-BREF (WHOQOL-BREF, 1997) and Chao's (2016) Self-Determination Scale for College Students (SDSCS), the study examined college students with autism perceptions of their self-determination skills and quality of life. The study sought to identify the levels of self-determination skills and quality of life of college students with autism, and to understand the relationship between self-determination skills and the quality of life (QoL) of students with ASD in post-secondary settings. The data were analyzed using descriptive statistics, correlation, and multiple regression. Overall, results demonstrated participants reported, mid-level self-determination and QoL with the majority stating average levels. Similar midpoint/average levels were found for the self-determination subscales (Self-Realization, Psychological Empowerment, Self-Regulation, Autonomy) and QoL domains, including Physical Health, Social Relationships, Psychological, and Environment. The results of this study confirmed the positive correlation and predictive relationship between self-determination and QoL of individuals. Educational implications and recommendations for future research are discussed.

Authors

Institutions

Publication Details

Journal
Education and Training in Autism and Developmental Disabilities
Published
2025-03-01
DOI
https://doi.org/10.1177/215416472506000103
Citations
1
Primary Topic
Disability Education and Employment
Type
article
Field-Weighted Citation Impact
2.37
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Understanding the Relationship Between Self-Determination Skills and Quality of Life of College Students with Autism

Marsha Simon, Jacqueline Lubin, Jerrie Brooks
1 citations
Education and Training in Autism and Developmental Disabilities
Disability Education and Employment
2.37
article

Understanding the Relationship Between Self-Determination Skills and Quality of Life of College Students with Autism

Marsha Simon, Jacqueline Lubin, Jerrie Brooks
article en
1 citations

Abstract

Using the World Health Organization Quality of Life-BREF (WHOQOL-BREF, 1997) and Chao's (2016) Self-Determination Scale for College Students (SDSCS), the study examined college students with autism perceptions of their self-determination skills and quality of life. The study sought to identify the levels of self-determination skills and quality of life of college students with autism, and to understand the relationship between self-determination skills and the quality of life (QoL) of students with ASD in post-secondary settings. The data were analyzed using descriptive statistics, correlation, and multiple regression. Overall, results demonstrated participants reported, mid-level self-determination and QoL with the majority stating average levels. Similar midpoint/average levels were found for the self-determination subscales (Self-Realization, Psychological Empowerment, Self-Regulation, Autonomy) and QoL domains, including Physical Health, Social Relationships, Psychological, and Environment. The results of this study confirmed the positive correlation and predictive relationship between self-determination and QoL of individuals. Educational implications and recommendations for future research are discussed.

Education and Training in Autism and Developmental DisabilitiesVol. 60(1)
Valdosta State University (US), University of Hartford (US), Fort Hays State University (US)
Openalex Percentile: Top 9%
Disability Education and Employment
2.37
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.