Multisite Study of New Autism Diagnostic Interview-Revised (ADI-R) Algorithms for Toddlers and Young Preschoolers
- 01-07-2013
- Original Paper
- Auteurs
- So Hyun Kim
- Audrey Thurm
- Stacy Shumway
- Catherine Lord
- Gepubliceerd in
- Journal of Autism and Developmental Disorders | Uitgave 7/2013
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Abstract
Using two independent datasets provided by National Institute of Health funded consortia, the Collaborative Programs for Excellence in Autism and Studies to Advance Autism Research and Treatment (n = 641) and the National Institute of Mental Health (n = 167), diagnostic validity and factor structure of the new Autism Diagnostic Interview (ADI-R) algorithms for toddlers and young preschoolers were examined as a replication of results with the 2011 Michigan sample (Kim and Lord in J Autism Dev Disord 42(1): 82-93, 2012). Sensitivities and specificities and a three-factor solution were replicated. Results suggest that the new ADI-R algorithms can be appropriately applied to existing research databases with children from 12 to 47 months and down to nonverbal mental ages of 10 months for diagnostic grouping.
- Titel
- Multisite Study of New Autism Diagnostic Interview-Revised (ADI-R) Algorithms for Toddlers and Young Preschoolers
- Auteurs
-
So Hyun Kim
Audrey Thurm
Stacy Shumway
Catherine Lord
- Publicatiedatum
- 01-07-2013
- Uitgeverij
- Springer US
- Gepubliceerd in
-
Journal of Autism and Developmental Disorders / Uitgave 7/2013
Print ISSN: 0162-3257
Elektronisch ISSN: 1573-3432 - DOI
- https://doi.org/10.1007/s10803-012-1696-4
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