Skip to main content

Advertisement

Log in

The Autism Diagnostic Observation Schedule, Module 4: Revised Algorithm and Standardized Severity Scores

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

Abstract

The recently published Autism Diagnostic Observation Schedule, 2nd edition (ADOS-2) includes revised diagnostic algorithms and standardized severity scores for modules used to assess younger children. A revised algorithm and severity scores are not yet available for Module 4, used with verbally fluent adults. The current study revises the Module 4 algorithm and calibrates raw overall and domain totals to provide metrics of autism spectrum disorder (ASD) symptom severity. Sensitivity and specificity of the revised Module 4 algorithm exceeded 80 % in the overall sample. Module 4 calibrated severity scores provide quantitative estimates of ASD symptom severity that are relatively independent of participant characteristics. These efforts increase comparability of ADOS scores across modules and should facilitate efforts to examine symptom trajectories from toddler to adulthood.

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
Fig. 4

Similar content being viewed by others

References

  • American Psychiatric Association. (2000). Diagnostic and statistical manual of mental disorders (4th ed., Text Revision). Washington, DC: American Psychiatric Association.

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

    Google Scholar 

  • Anderson, D. K., Liang, J. W., & Lord, C. (2013). Predicting young adult outcome among more and less cognitively able individuals with autism spectrum disorders. Journal of Child Psychology and Psychiatry. Advanced online publication. doi:10.1111/jcpp.12178.

  • Bastiaansen, J. A., Meffert, H., Hein, S., Huizinga, P., Ketelaars, C., Pijnenborg, M., et al. (2011). Diagnosing autism spectrum disorders in adults: The use of Autism Diagnostic Observation Schedule (ADOS) module 4. Journal of autism and developmental disorders, 41(9), 1256–1266.

    Google Scholar 

  • Brown, J. D. (1999). Statistics corner questions and answers about language testing statistics: Standard error vs. standard error of measurement. Shiken: JALT Testing & Evaluation SIG Newsletter, 3(1), 20–25.

    Google Scholar 

  • Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen & J. S. Long (Eds.), Testing structural equation models (pp. 136–162). Newbury Park, CA: Sage.

    Google Scholar 

  • Brugha, T. S., McManus, S., Smith, J., Scott, F. J., Meltzer, H., Purdon, S., et al. (2012). Validating two survey methods for identifying cases of autism spectrum disorder among adults in the community. Psychological Medicine, 42(3), 647–656.

    Article  PubMed  Google Scholar 

  • Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Psychology Press.

  • Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334.

    Google Scholar 

  • Dunn, L. M., & Dunn, L. M. (2007). Peabody picture vocabulary test (4th ed.). Bloomington: Pearson.

    Google Scholar 

  • Eaves, L. C., & Ho, H. H. (2008). Young adult outcome of autism spectrum disorders. Journal of Autism and Developmental Disorders, 38(4), 739–747.

    Article  PubMed  Google Scholar 

  • Elliott, Colin D. (1990). Differential ability scales. San Antonio, TX: Psychological Corporation.

    Google Scholar 

  • Elliott, C. D. (2006). Differential ability scales—Second edition (DAS-II). San Antonio, TX: The Psychological Corporation.

    Google Scholar 

  • Farley, M. A., McMahon, W. M., Fombonne, E., Jenson, W. R., Miller, J., Gardner, M., et al. (2009). Twenty-year outcome for individuals with autism and average or near-average cognitive abilities. Autism Research, 2(2), 109–118.

    Article  PubMed  Google Scholar 

  • Fein, D., Barton, M., Eigsti, I.-M., Kelley, E., Naigles, L., Schultz, R. T., et al. (2013). Optimal outcome in individuals with a history of autism. Journal of Child Psychology and Psychiatry, 54(2), 195–205.

    Article  PubMed Central  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.

    Article  PubMed  Google Scholar 

  • Ganz, M. L. (2007). The lifetime distribution of the incremental societal costs of autism. Archives of Pediatrics and Adolescent Medicine, 161(4), 343–349.

    Article  PubMed  Google Scholar 

  • Gillespie-Lynch, K., Sepeta, L., Wang, Y., Marshall, S., Gomez, L., Sigman, M., et al. (2012). Early childhood predictors of the social competence of adults with autism. Journal of Autism and Developmental Disorders, 42(2), 161–174.

    Article  PubMed Central  PubMed  Google Scholar 

  • Gotham, K., Pickles, A., & Lord, C. (2009). Standardizing ADOS scores for a measure of severity in autism spectrum disorders. Journal of Autism and Developmental Disorders, 39(5), 693–705.

    Article  PubMed Central  PubMed  Google Scholar 

  • Gotham, K., Risi, S., Pickles, A., & Lord, C. (2007). The Autism Diagnostic Observation Schedule: Revised algorithms for improved diagnostic validity. Journal of Autism and Developmental Disorders, 37(4), 613–627.

    Article  PubMed  Google Scholar 

  • Helt, M., Kelley, E., Kinsbourne, M., Pandey, J., Boorstein, H., Herbert, M., et al. (2008). Can children with autism recover? If so, how? Neuropsychology Review, 18(4), 339–366.

    Article  PubMed  Google Scholar 

  • Henninger, N. A., & Taylor, J. L. (2013). Outcomes in adults with autism spectrum disorders: A historical perspective. Autism, 17(1), 103–116.

    Article  PubMed Central  PubMed  Google Scholar 

  • Howlin, P., Moss, P., Savage, S., & Rutter, M. (2013). Social outcomes in mid- to later adulthood among individuals diagnosed with autism and average nonverbal IQ as children. Journal of the American Academy of Child & Adolescent Psychiatry, 52(6), 572–581.e1.

    Google Scholar 

  • Hus, V., Bishop, S., Gotham, K., Huerta, M., & Lord, C. (2013). Factors influencing scores on the social responsiveness scale. Journal of Child Psychology and Psychiatry, 54(2), 216–224.

    Article  PubMed Central  PubMed  Google Scholar 

  • Hus, V., & Lord, C. (2011). Evaluation & testing. In E. Hollander, A. Kolevzon, & J. T. Coyle (Eds.), Textbook of autism spectrum disorders (pp. 49–65). Arlington, VA: American Psychiatric Publishing, Inc.

    Google Scholar 

  • Hus, V., & Lord, C. (2013). Effects of child characteristics on the autism diagnostic interview-revised: Implications for use of scores as a measure of ASD severity. Journal of Autism and Developmental Disorders, 43(2), 371–381.

    Article  PubMed Central  PubMed  Google Scholar 

  • Hus, V., Taylor, A., & Lord, C. (2011). Telescoping of caregiver report on the autism diagnostic interview—Revised. Journal of Child Psychology and Psychiatry, 52(7), 753–760.

    Article  PubMed Central  PubMed  Google Scholar 

  • Hus, V., Maye, M., Harvey, L., Guthrie, W., Liang, J., Lord, C. (2011, May). The adapted ADOS—Preliminary findings using a modified version of the ADOS for adults who are nonverbal or have limited language. Poster presented at the International Meeting for Autism Research, San Diego, CA.

  • Interagency Autism Coordinating Committee. (2011, January 18). The 2011 interagency autism coordinating committee strategic plan for autism spectrum disorder research. http://iacc.hhs.gov/strategic-plan/2011/index.shtml.

  • Jones, R. M., Risi, S., Wexler, D., Anderson, D., Corsello, C., Pickles, A., & Lord, C. (2013). How interview questions are placed in time influences caregiver description of social communication symptoms on the ADI-R. Under review.

  • Levy, A., & Perry, A. (2011). Outcomes in adolescents and adults with autism: A review of the literature. Research in Autism Spectrum Disorders, 5(4), 1271–1282.

    Article  Google Scholar 

  • Lord, C., Rutter, M., DiLavore, P. S., & Risi, S. (1999). Autism Diagnostic Observation Schedule (ADOS). Los Angeles, CA: Western Psychological Services.

  • Lord, C., Luyster, R., Gotham, K., & Guthrie, W. (2012a). Autism Diagnostic Observation Schedule, second edition (ADOS-2) manual (Part II): Toddler module. Torrance, CA: Western Psychological Services.

    Google Scholar 

  • Lord, C., Petkova, E., Hus, V., Gan, W., Lu, F., Martin, D. M., et al. (2012b). A multisite study of the clinical diagnosis of different autism spectrum disorders. Archives of General Psychiatry, 69(3), 306–313.

    Article  PubMed Central  PubMed  Google Scholar 

  • Lord, C., Rutter, M., DiLavore, P. C., Risi, S., Gotham, K., & Bishop, S. (2012c). Autism Diagnostic Observation Schedule, second edition (ADOS-2) manual (Part I): Modules 1-4. Torrance, CA: Western Psychological Services.

    Google Scholar 

  • Luyster, R., Gotham, K., Guthrie, W., Coffing, M., Petrak, R., Pierce, K., et al. (2009). The Autism Diagnostic Observation Schedule—Toddler module: A new module of a standardized diagnostic measure for autism spectrum disorders. Journal of Autism and Developmental Disorders, 39(9), 1305–1320.

    Article  PubMed Central  PubMed  Google Scholar 

  • Perry, A., Condillac, R. A., & Freeman, N. L. (2002). Best practices and practical strategies for assessment and diagnosis of autism. Journal on Developmental Disabilities, 9(2), 61–75.

    Google Scholar 

  • Piven, J., Harper, J., Palmer, P., & Arndt, S. (1996). Course of behavioral change in autism: A retrospective study of high-IQ adolescents and adults. Journal of the American Academy of Child and Adolescent Psychiatry, 35(4), 523–529.

    Article  PubMed  Google Scholar 

  • Raven, J. C. (1960). Guide to the standard progressive matrices: Sets A, B, C D and E. London: HK Lewis.

    Google Scholar 

  • Rutter, M., Bailey, A., Lord, C., & Berument, S. (2003a). Social communication questionnaire. Los Angeles, CA: Western Psychological Services.

    Google Scholar 

  • Rutter, M., Le Couteur, A., & Lord, C. (2003b). Autism diagnostic interview-revised. Los Angeles, CA: Western Psychological Services.

    Google Scholar 

  • Schopler, E., Reichler, R. J., DeVellis, R. F., & Daly, K. (1980). Toward objective classification of childhood autism: Childhood autism rating scale (CARS). Journal of Autism and Developmental Disorders, 10(1), 91–103.

    Article  PubMed  Google Scholar 

  • Shattuck, P. T., Seltzer, M. M., Greenberg, J. S., Orsmond, G. I., Bolt, D., Kring, S., et al. (2006). Change in autism symptoms and maladaptive behaviors in adolescents and adults with an autism spectrum disorder. Journal of Autism and Developmental Disorders, 37(9), 1735–1747.

    Article  PubMed Central  PubMed  Google Scholar 

  • Sigman, M., & McGovern, C. W. (2005). Improvement in cognitive and language skills from preschool to adolescence in autism. Journal of Autism and Developmental Disorders, 35(1), 15–23.

    Article  PubMed  Google Scholar 

  • Skrondal, A., & Rabe-Hesketh, S. (2004). Generalized latent variable modeling. Boca Raton, FL: Chapman & Hall.

    Book  Google Scholar 

  • US Department of Education, Office of Special Education Programs, Data Analysis System DANS. (2011, July 15). Table 1–3. Number of students ages 6 through 21 served under IDEA, Part B, by disability category and state: Fall 2010. https://www.ideadata.org/TABLES34TH/AR_1-3.pdf.

  • Wechsler, D. (1999). Wechsler abbreviated scale of intelligence. San Antonio, TX: Psychological Corporation.

    Google Scholar 

Download references

Acknowledgments

This research was supported by a Dennis Weatherstone Predoctoral Fellowship to VH and Simons Foundation and National Institute of Mental Health grant R01MH081873 to CL. We thank Andrew Pickles for his statistical consultation. We are also grateful to the families, as well as SSC principal investigators (A. Beaudet, R. Bernier, E. Cook, E. Fombonne, D. Geschwind, D. Grice, A. Klin, D. Ledbetter, 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 dataset described in this study by applying at https://base.sfari.org.

Conflict of interest

CL receives royalties for the ADI-R and ADOS-2; profits from this study were donated to charity.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Vanessa Hus.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Hus, V., Lord, C. The Autism Diagnostic Observation Schedule, Module 4: Revised Algorithm and Standardized Severity Scores. J Autism Dev Disord 44, 1996–2012 (2014). https://doi.org/10.1007/s10803-014-2080-3

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10803-014-2080-3

Keywords

Navigation