Literaturnachweis - Detailanzeige
| Autor/inn/en | Bergmann, Thomas; Heinrich, Manuel; Ziegler, Matthias; Dziobek, Isabel; Diefenbacher, Albert; Sappok, Tanja |
|---|---|
| Titel | Developing a Diagnostic Algorithm for the Music-Based Scale for Autism Diagnostics (MUSAD) Assessing Adults with Intellectual Disability |
| Quelle | In: Journal of Autism and Developmental Disorders, 49 (2019) 9, S.3732-3752 (21 Seiten)
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| Zusatzinformation | ORCID (Bergmann, Thomas) |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 0162-3257 |
| DOI | 10.1007/s10803-019-04069-y |
| Schlagwörter | Autism; Pervasive Developmental Disorders; Adults; Intellectual Disability; Diagnostic Tests; Music; Mathematics; Interrater Reliability; Test Validity |
| Abstract | Initial studies have presented the "Music-based Scale for Autism Diagnostics" (MUSAD) as a promising DSM-5-based observational tool to identify autism spectrum disorder (ASD) in adults with intellectual disability (ID). The current study is the first to address its clinical utility in a new sample of 124 adults with ID (60.5% diagnosed with ASD). The derived diagnostic algorithm differentiated well between individuals with and without ASD (sensitivity 79%, specificity 74%, area under the curve = 0.81). Inter-rater reliability, assessed by the scorings of four independent experts in 22 consensus cases, was excellent (ICC = 0.92). Substantial correlations with scores from other ASD-specific measures indicated convergent validity. The MUSAD yields accurate and reliable scores, supporting comprehensive ASD diagnostics in adults with ID. (As Provided). |
| Anmerkungen | Springer. Available from: Springer Nature. 233 Spring Street, New York, NY 10013. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-348-4505; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/ |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2020/1/01 |
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