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Journal of Autism and Developmental Disorders

, Volume 44, Issue 9, pp 2301–2310 | Cite as

Using the Autism Detection in Early Childhood (ADEC) and Childhood Autism Rating Scales (CARS) to Predict Long Term Outcomes in Children with Autism Spectrum Disorders

  • Yong-Hwee NahEmail author
  • Robyn L. Young
  • Neil Brewer
Original Paper

Abstract

This study evaluated the predictive validity of the Autism Detection in Early Childhood (ADEC; Young, Autism detection in early childhood: ADEC. Australian Council of Educational Research, Camberwell, VIC 2007) and a well-established screening tool, the Childhood Autism Rating Scale (CARS; Schopler et al. The childhood autism rating scale (CARS). Western Psychological Services, Los Angeles 1988), for long term outcomes of children with ASD engaged in an early intervention program. Participants were 55 children (44 male, 11 female) aged 19–42 months (M = 33.5, SD = 5.6) at initial assessment who were followed up 2 and 6 years after their initial assessment. The ADEC and the CARS performed similarly when predicting long term outcomes such as clinical diagnostic outcome and overall adaptive functioning level. However, only the ADEC score was significantly correlated with ASD symptom severity at the 6-year follow up. Although these findings need to be replicated with additional and larger samples, this study extends our understanding of the psychometric properties of both the ADEC and the CARS.

Keywords

Autism spectrum disorders Predictive validity ADEC CARS Long term outcomes 

Notes

Acknowledgments

Flinders University receives royalties from the sale of the Autism Detection in Early Childhood. The authors would like to thank the Department of Families and Communities, Flinders University Early Intervention Research staff and all the families involved for their help in the completion of this research study. The authors are also grateful to Darren Hedley for his involvement in the 6-year follow up data collection. This paper will form part of the first author’s doctoral dissertation.

Supplementary material

10803_2014_2102_MOESM1_ESM.docx (63 kb)
Supplementary material 1 (DOCX 63 kb)

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Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  1. 1.School of PsychologyFlinders UniversityAdelaideAustralia

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