Diagnosing autism: Analyses of data from the autism diagnostic interview

Catherine Lord, Andrew Pickles, John McLennan, Michael Rutter, Joel Bregman, Susan Folstein, Eric Fombonne, Marion Leboyer, Nancy Minshew

Research output: Contribution to journalArticle

281 Scopus citations

Abstract

Results from ROC curves of items from two scales, the Autism Diagnostic Interview (ADI) and Autism Diagnostic Interview-Revised (ADI-R), operationalizing DSM-IV criteria for autism are presented for 319 autistic and 113 other subjects from 8 international autism centers. Analyses indicate that multiple items were necessary to attain adequate sensitivity and specificity if samples with varying levels of language were considered separately. Although considering only current behavior was generally sufficient when a combination cutoff and additive model was employed, predictive power was highest when history was taken into account. A single set of criteria, as operationalized by individually structured questions in the ADI/ADI-R, was effective in differentiating autism from mental handicap and language impairment in subjects with a range of chronological ages and developmental levels.

Original languageEnglish (US)
Pages (from-to)501-517
Number of pages17
JournalJournal of Autism and Developmental Disorders
Volume27
Issue number5
DOIs
StatePublished - Jan 1 1997

ASJC Scopus subject areas

  • Developmental and Educational Psychology

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    Lord, C., Pickles, A., McLennan, J., Rutter, M., Bregman, J., Folstein, S., Fombonne, E., Leboyer, M., & Minshew, N. (1997). Diagnosing autism: Analyses of data from the autism diagnostic interview. Journal of Autism and Developmental Disorders, 27(5), 501-517. https://doi.org/10.1023/A:1025873925661