2,285
Views
66
CrossRef citations to date
0
Altmetric
ARTICLES

Autism screening tools: An evaluation of the Social Communication Questionnaire and the Developmental Behaviour Checklist–Autism Screening Algorithm

&
Pages 179-187 | Published online: 10 Jul 2009
 

Abstract

Background This study is the first to evaluate the Social Communication Questionnaire (SCQ) and the Developmental Behaviour Checklist–Autism Screening Algorithm (DBC‐ASA) in the same sample of school‐aged children with intellectual disability (ID) with and without Pervasive Developmental Disorders (PDDs).

Method Parents of 49 children (36 with PDDs and 13 with ID) completed a survey that included a demographic form, a measure of adaptive behaviour (the SIB‐R), the SCQ, and the DBC‐ASA.

Results According to established cut‐offs, the SCQ's sensitivity was .92 and specificity was .62, and the DBC‐ASA's sensitivity was .94 and specificity was .46. Six of the seven false positives on the DBC‐ASA had DBC Total Problem Behaviour scores above the clinical cut‐off. By contrast, all six true negatives had Total Problem Behaviour scores below the clinical cut‐off. No such pattern was noted for the SCQ.

Conclusion While both instruments have good psychometric properties, the results of this study suggest that clinicians and researchers should exercise caution when utilising the DBC‐ASA to screen for PDDs in individuals with significant behaviour problems, as this could decrease its diagnostic validity.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 400.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.