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The Quality of Life for Children with Autism Spectrum Disorder Scale: Factor Analysis, MIMIC Modeling, and Cut-Off
Laura C Chezan1, Jin Liu2, Erik Drasgow2
1Old Dominion University, 4501 Hampton Blvd., Child Study Center 110, Norfolk, VA, 23529, USA. lchezan@odu.edu.
Journal of Autism and Developmental Disorders
|June 3, 2022
Summary
This study validated the Quality of Life for Children with Autism Spectrum Disorder (QOLASD-C) scale, finding it reliable for assessing quality of life in autistic children. An optimal cut-off score of 37 was identified for clinical use.
Area of Science:
- Psychometrics
- Pediatric Psychology
- Autism Spectrum Disorder Research
Background:
- The Quality of Life for Children with Autism Spectrum Disorder (QOLASD-C) scale requires further psychometric validation.
- Understanding quality of life is crucial for interventions in children with autism spectrum disorder.
Purpose of the Study:
- To examine the psychometric properties of the QOLASD-C scale.
- To investigate the factor structure, internal consistency, and reliability of the QOLASD-C scale.
- To explore associations between demographic variables and QOLASD-C dimensions.
Main Methods:
- Bifactor modeling was used to assess the factor structure and internal consistency.
- Multiple-indicators multiple-causes (MIMIC) modeling examined demographic associations.
- An optimal cut-off score was determined for the QOLASD-C scale.
Main Results:
- The bifactor model demonstrated good fit and strong reliability for the QOLASD-C scale.
- Age, race/ethnicity, and autism spectrum disorder severity were associated with overall quality of life and subscale scores.
- Gender was not found to be associated with quality of life.
- An optimal cut-off score of 37 was identified.
Conclusions:
- The QOLASD-C scale is a psychometrically sound measure for assessing quality of life in children with autism spectrum disorder.
- Demographic factors significantly influence quality of life dimensions in this population.
- The identified cut-off score of 37 has implications for research and clinical practice in identifying children who may benefit from targeted support.
Keywords:
Autism spectrum disorderBifactor modelCut-off scoreDemographicMIMIC modelingQuality of lifeMore Related Videos
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