Skip to main content
Log in

Cognitive Profiles in Youth with Autism Spectrum Disorder: An Investigation of Base Rate Discrepancies using the Differential Ability Scales—Second Edition

  • Original Paper
  • Published:
Journal of Autism and Developmental Disorders Aims and scope Submit manuscript

Abstract

Extant data suggest that the cognitive profiles of individuals with ASD may be characterized by variability, particularly in terms of verbal intellectual functioning (VIQ) and non-verbal intellectual functioning (NVIQ) discrepancies. The Differential Ability Scales, Second Edition (DAS-II) has limited data available on its use with youth with ASD. The current study examined data from 2,110 youth with ASD in order to characterize performance on the DAS-II and to investigate potential discrepancies between VIQ and NVIQ. A larger proportion of individuals in the ASD sample had significant discrepancies between VIQ and NVIQ when compared to the normative sample [early years sample χ2 (2) = 38.36; p < .001; school age sample χ2 (2) = 13.48; p < .01]. Clinical and research implications are discussed.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  • American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). Arlington, VA: American Psychiatric Association.

    Google Scholar 

  • Ankenman, K., Elgin, J., Sullivan, K., Vincent, L., & Bernier, R. (2014). Nonverbal and verbal cognitive discrepancy profiles in autism spectrum disorders: Influence of age and gender. American Journal on Intellectual and Developmental Disabilities, 1, 84–99. doi:10.1352/1944-7558-119.1.84.

    Article  Google Scholar 

  • Beran, T. (2007). Review of the differential ability scales (2nd ed.). Canadian Journal of School Psychology, 22, 128–132. doi:10.1177/0829573507302967.

    Article  Google Scholar 

  • Black, D. O., Wallace, G. L., Sokoloff, J. L., & Kenworthy, L. (2009). Brief report: IQ split predicts social symptoms and communication abilities in high-functioning children with autism spectrum disorders. Journal of Autism and Developmental Disorders, 39(11), 1613–1619.

    Article  PubMed Central  PubMed  Google Scholar 

  • Chapman, N. C., Estes, A., Munson, J., Bernier, R., Webb, S. J., Rothstein, J. H., et al. (2011). Genome-scan for IQ discrepancy in autism: evidence for loci on chromosomes 10 and 16. Human Genetics, 129, 59–70. doi:10.1007/s00439-010-0899-z.

    Article  PubMed Central  PubMed  Google Scholar 

  • Coolican, J., Bryson, S., & Zwaigenbaum, L. (2008). Brief report: Data on the Stanford–Binet intelligence scales (5th ed.) in children with autism spectrum disorder. Journal of Autism and Developmental Disorders, 38, 190–197. doi:10.1007/s10803-007-0368-2.

    Article  PubMed  Google Scholar 

  • Dumont, R., Willis, J. O., & Elliott, C. D. (2009). Essentials of DAS-II assessment. Hoboken, NJ: Wiley.

    Google Scholar 

  • Elliott, C. D. (1991). Differential Ability Scales (DAS). San Antonio, TX: Harcourt Assessment.

    Google Scholar 

  • Elliott, C. D. (2007a). Differential Ability Scales—Second edition (DAS-II). San Antonio, TX: Harcourt Assessment.

    Google Scholar 

  • Elliott, C. D. (2007b). Differential ability scales, 2nd edition: Introductory and technical handbook. San Antonio, TX: Harcourt Assessment.

    Google Scholar 

  • Filipek, P., Accardo, P., Ashwal, S., Baranek, G., Cook, E., Dawson, G., et al. (2000). Practice parameter: Screening and diagnosis of autism: Report of the quality standards subcommittee of the American academy of neurology and the child neurology society. Neurology, 55, 468–479.

    Article  PubMed  Google Scholar 

  • Fischbach, G. D., & Lord, C. (2010). The simons simplex collection: A resource for identification of autism genetic risk factors. Neuron, 68(2), 192–195.

  • Flanagan, D. P., Ortiz, S. O., & Alfonso, V. C. (2013). Essentials of psychological assessment: Essentials of cross battery assessment (3rd ed.). Hoboken, NJ: Wiley.

    Google Scholar 

  • Flanagan, D. P., & Kaufman, A. S. (2004). Essentials of WISC-IV assessment. Hoboken, NJ: Wiley.

    Google Scholar 

  • Johnson, C., & Myers, S. (2007). Identification and evaluation of children with autism spectrum disorders. American Academy of Pediatrics Policy, 120(5), 1183–1215. doi:10.1542/peds.2007-2361.

    Google Scholar 

  • Joseph, R. M., Tager-Flusberg, H., & Lord, C. (2002). Cognitive profiles and social-communicative functioning in children with autism spectrum disorder. Journal of Child Psychology and Psychiatry, 43(6), 807–821. doi:10.1111/1469-7610.00092.

    Article  PubMed Central  PubMed  Google Scholar 

  • Klin, A., Saulnier, C., Tsatsanis, K., & Volkmar, F. (2005). Clinical Evaluation in Autism Spectrum Disorders: Psychological Assessment within a Transdisciplinary Framework. In F. R. Volkmar, R. Paul, A. Klin, & D. Cohen (Eds.), Handbook of autism and pervasive developmental disorders, vol 1: Assessment, interventions, and policy (3rd ed., pp. 772–798). Hoboken, NJ US: Wiley.

    Google Scholar 

  • Klinger, L., & Renner, P. (2000). Performance-based measures in autism: Implications for diagnosis, early detection, and identification of cognitive profiles. Journal of Clinical Child Psychology, 29(4), 479–492. doi:10.1207/S15374424JCCP2904_3.

    Article  PubMed  Google Scholar 

  • Kuschner, E. S., Bennetto, L., & Yost, K. (2007). Patterns of nonverbal cognitive functioning in young children with autism spectrum disorders. Journal of Autism and Developmental Disabilities, 37(5), 795–807. doi:10.1007/s10803-006-0209-8.

    Article  Google Scholar 

  • Lennen, D. T., Lamb, G. D., Dunagan, B. J., & Hall, T. A. (2010). Verbal prowess equals higher IQ: Implications for evaluating autism. Research in Autism Spectrum Disorders, 4(1), 95–101. doi:10.1016/j.rasd.2009.09.004.

    Article  Google Scholar 

  • Lincoln, A., Courchesne, E., Allen, M., Hanson, E., & Ene, M. (1998). Neurobiology of Asperger syndrome: Seven case studies and quantitative magnetic resonance imaging findings. In E. Schopler, G. Mesibov, & L. J. Kunce (Eds.), Asperger Syndrome or High-functioning Autism? (pp. 145–166). New York: Plenum.

  • Lord, C., Petkova, E., Hus, V., Gan, W., Lu, F., Martin, D. M., et al. (2011). A multisite study of the clinical diagnosis of different autism spectrum disorders. Archives of General Psychiatry,. doi:10.1001/archgenpsychiatry.2011.148.

    PubMed Central  PubMed  Google Scholar 

  • Lord, C., Risi, S., Lambrecht, L., Cook, E., Leventhal, B., DiLavore, P., et al. (2000). The autism diagnostic observation schedule—Generic: A standard measure of social and communication deficits associated with the spectrum of autism. Journal of Autism and Developmental Disorders, 30, 205–223. doi:10.1023/A:1005592401947.

    Article  PubMed  Google Scholar 

  • Mayes, S., & Calhoun, S. L. (2003). Analysis of WISC-III, Stanford–Binet: IV, and academic achievement test scores in children with autism. Journal of Autism and Developmental Disorders, 33(3), 329–341. doi:10.1023/A:1024462719081.

    Article  PubMed  Google Scholar 

  • National Research Council. (2001). Diagnosis, assessment, and prevalence. In C. Lord & J. P. McGee (Eds.), Educating children with autism (pp. 23–31). Washington, DC: National Academy Press.

    Google Scholar 

  • Rutter, M., LeCouteur, A., & Lord, C. (2003). Autism Diagnostic Interview-Revised. Lutz, FL: PAR.

    Google Scholar 

  • Sattler, J. M. (2008). Assessment of children: Cognitive applications (5th ed.). San Diego, CA: Author.

    Google Scholar 

  • Semrud-Clikeman, M., Walkowiak, J., Wilkinson, A., & Christopher, G. (2010). Neuropsychological differences among children with Asperger syndrome, nonverbal learning disabilities, attention deficit disorder, and controls. Developmental Neuropsychology, 35(5), 582–600. doi:10.1080/875656412010494747.

    Article  PubMed  Google Scholar 

  • Siegel, D., Minshew, N., & Goldstein, G. (1996). Wechsler IQ profiles in diagnosis of high-functioning autism. Journal of Autism and Developmental Disorders, 26, 389–406. doi:10.1007/BF02172825.

    Article  PubMed  Google Scholar 

Download references

Acknowledgments

This research was supported by a grant from the Simons Foundation (SFARI SSC-15 to R. Goin-Kochel and A. Beaudet). We are grateful to all of the families at the participating SFARI Simplex Collection (SSC) sites, as well as the principal investigators (A. Beaudet, R. Bernier, J. Constantino, E. Cook, E. Fombonne, D. Geschwind, D. Grice, A. Klin, D. Ledbetter, C. Lord, C. Martin, D. Martin, R. Maxim, J. Miles, O. Ousley, B. Peterson, J. Piggot, C. Saulnier, M. State, W. Stone, J. Sutcliffe, C. Walsh, E. Wijsman). We appreciate obtaining access to phenotypic data on SFARI Base. Approved researchers can obtain the SSC population dataset described in this study (https://ordering.base.sfari.org/~browse_collection/archive[sfari_collection_v14]/ui:view()) by applying at https://base.sfari.org.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kerri P. Nowell.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Nowell, K.P., Schanding, G.T., Kanne, S.M. et al. Cognitive Profiles in Youth with Autism Spectrum Disorder: An Investigation of Base Rate Discrepancies using the Differential Ability Scales—Second Edition. J Autism Dev Disord 45, 1978–1988 (2015). https://doi.org/10.1007/s10803-014-2356-7

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10803-014-2356-7

Keywords

Navigation