AI Article Synopsis
- The study aimed to assess the psychometric properties of the Quality of Life for Children with Autism Spectrum Disorder (QOLASD-C) scale, focusing on its factor structure and internal consistency.
- The bifactor model demonstrated good fit and reliability, while demographic factors like age, race/ethnicity, and autism severity influenced overall quality of life scores, but gender showed no impact.
- An optimal cut-off score of 37 for the QOLASD-C was identified, with implications for both research and practical applications in understanding children's quality of life.
Article Abstract
Our purpose in this study was to further examine the psychometric properties of the Quality of Life for Children with Autism Spectrum Disorder (QOLASD-C) scale. We first investigated the factor structure and the internal consistency of the scale. The bifactor model showed good fit and strong reliability. Second, we used multiple-indicators multiple-causes (MIMIC) modeling to examine the associations between demographic variables and the QOLASD-C dimensions. Results showed differences on overall QOL based on age, race/ethnicity, and autism spectrum disorder severity, but no relationships with gender. All demographic variables were associated with one or all three subscales (i.e., interpersonal relationships, self-determination, emotional well-being) of the QOLASD-C. Third, an optimal cut-off score of 37 was identified. Implications for research and practice are discussed.
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| http://dx.doi.org/10.1007/s10803-022-05610-2 | DOI Listing |
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