Multisite study of new autism diagnostic interview-revised (ADI-R) Algorithms for toddlers and young preschoolers

So Hyun Kim; Audrey Thurm; Stacy Shumway; Catherine Lord

doi:10.1007/s10803-012-1696-4

Multisite study of new autism diagnostic interview-revised (ADI-R) Algorithms for toddlers and young preschoolers

So Hyun Kim^*
, Audrey Thurm
, Stacy Shumway
, Catherine Lord

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

67 Citations (Scopus)

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.

Original language	English
Pages (from-to)	1527-1538
Number of pages	12
Journal	Journal of Autism and Developmental Disorders
Volume	43
Issue number	7
DOIs	https://doi.org/10.1007/s10803-012-1696-4
Publication status	Published - 2013 Jul
Externally published	Yes

Keywords

Autism diagnostic interview-revised
Autism spectrum disorders
Early diagnosis

ASJC Scopus subject areas

Developmental and Educational Psychology

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/s10803-012-1696-4

Cite this

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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.",

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AU - Kim, So Hyun

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AU - Shumway, Stacy

AU - Lord, Catherine

PY - 2013/7

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Multisite study of new autism diagnostic interview-revised (ADI-R) Algorithms for toddlers and young preschoolers

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

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