Journal of Autism and Developmental Disorders

, Volume 42, Issue 1, pp 82–93 | Cite as

New Autism Diagnostic Interview-Revised Algorithms for Toddlers and Young Preschoolers from 12 to 47 Months of Age

Original Paper

Abstract

Autism Diagnostic Interview-Revised (Rutter et al. in Autism diagnostic interview-revised. Western Psychological Services, Los Angeles, 2003) diagnostic algorithms specific to toddlers and young preschoolers were created using 829 assessments of children aged from 12 to 47 months with ASD, nonspectrum disorders, and typical development. The participants were divided into three more homogeneous groups by language level and age. Items that best differentiated the diagnostic groups were selected and arranged into domains based on multifactor item-response analyses. Using the new algorithms for toddlers and preschool children, we were able to improve sensitivity and specificity compared to the previously developed algorithm.

Keywords

Autism Autism spectrum disorders ADI-R Toddler Preschool children Diagnosis 

Notes

Acknowledgments

We gratefully acknowledge the help of Susan Risi, Pam Dixon Thomas, Suzi Naguib, Fiona Miller, Rhiannon Luyster, Whitney Guthrie, Kaite Gotham, Kathryn Larson, Kathy Hatfield, and Shanping Qiu, as well as the families that participated in this research. This study was funded by the National Institute of Mental Health (Validity of Diagnostic Measures for Autism Spectrum Disorders: NIMH R01 MH066496 and MH57167), National Institute of Child Health and Human Development (HD 35482-01), and Simons Foundation. The results from the preliminary analyses were presented at the 2009 International Meeting for Autism Research (IMFAR). One of the authors, Catherine Lord, receives royalties for the ADI-R and ADOS; profits related to this study were donated to charity.

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Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  1. 1.University of Michigan Autism and Communication Disorders Center (UMACC)Ann ArborUSA

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