Multisite Study of New Autism Diagnostic Interview-Revised (ADI-R) Algorithms for Toddlers and Young Preschoolers.
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 structu...
| Publicado en: | Journal of Autism & Developmental Disorders Vol. 43; no. 7; pp. 1527 - 1539 |
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| Autores principales: | , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Springer Nature
Jul2013
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104183637&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104183637 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01623257 AUT jtl: Journal of Autism & Developmental Disorders issn: 01623257 maglogo: N pubinfo: dt: Jul2013 vid: 43 iid: 7 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104183637 88227431 10.1007/s10803-012-1696-4 NLM23114567 104183637 ppf: 1527 ppct: 12 formats: fmt: @attributes: type: P tig: atl: Multisite Study of New Autism Diagnostic Interview-Revised (ADI-R) Algorithms for Toddlers and Young Preschoolers. aug: au: Kim, So Thurm, Audrey Shumway, Stacy Lord, Catherine affil: Yale Child Study Center, Yale University School of Medicine, 40 Temple St. Suite 7-D New Haven 06510 USA sug: subj: Early Diagnosis Methods Autism Spectrum Disorder Diagnosis Parental Attitudes Evaluation Questionnaires Human Male Female Infant Child, Preschool Algorithms Descriptive Statistics Data Analysis Software Factor Analysis Comparative Studies Sensitivity and Specificity Goodness of Fit Chi Square Test Instrument Validation Funding Source Infant: 1-23 months Child, Preschool: 2-5 years Male Female ab: 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. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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