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Predicting the Academic Achievement of Gifted Students with Autism Spectrum Disorder

Journal of Autism and Developmental Disorders volume 42, pages 1781–1789 (2012)Cite this article

Abstract

We are not well informed regarding the ability-achievement relationship for twice-exceptional individuals (very high cognitive ability and a diagnosed disability, e.g., autism spectrum disorder [ASD]). The research question for this investigation (N = 59) focused on the predictability of achievement among variables related to ability and education in a twice-exceptional sample of students (cognitive ability of 120 [91st percentile], or above, and diagnosed with ASD). We determined that WISC-IV Working Memory and Processing Speed Indices were both significantly positively correlated with achievement in math, reading, and written language. WISC Perceptual Reasoning Index was uniquely predictive of Oral Language test scores. Unexpected findings were that ASD diagnosis, Verbal Comprehension Index, and forms of academic acceleration were not related to the dependent variables.

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References

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

  • Asperger, H. (1991). Autistic psychopathy in childhood. In U. Frith (Ed., Trans.). Autism and Asperger syndrome. Cambridge: Cambridge University Press (original work published in 1944).

  • Assouline, S. G., & Foley Nicpon, M. (2007). Twice-exceptional learners: Implications for the classroom. NAGC Communiqué Teaching for High Potential, Spring, 9–13.

  • Assouline, S. G., Foley Nicpon, M., & Doobay, A. (2009). Profoundly gifted girls and autism spectrum disorder: A psychometric case study comparison. Gifted Child Quarterly, 53(2), 89–106.

    Article  Google Scholar 

  • Beery, K. E., & Beery N. A. (2004). Beery VMI: Administration, scoring, and teaching manual. Minneapolis, MN: NCS Pearson.

  • Beery, K.E., Buktenica, N. A., & Beery, N. A. (2004). The Beery-Buktenica Developmental Test of Visual Motor Integration. Minneapolis, MN: NCS Pearson.

  • Bourdin, B., & Fayol, M. (1994). Is written language production more difficult than oral language production? A working memory approach. International Journal of Psychology, 29(5), 591–620.

    Article  Google Scholar 

  • Calhoun, S. L., & Mayes, S. D. (2005). Processing speed in children with clinical disorders. Psychology in the Schools, 42(4), 333–342.

    Article  Google Scholar 

  • Carretti, B., Borella, E., Cornoldi, C., & De Beni, R. (2009). Role of working memory in explaining the performance of individuals with specific reading comprehension difficulties: A meta-analysis. Learning and Individual Differences, 19(2), 245–251. doi:10.1016/j.lindif.2008.10.002.

    Article  Google Scholar 

  • Catts, H. W., Gillispie, M., Leonard, L. B., Kail, R. V., & Miller, C. A. (2002). The role of speed of processing, rapid naming, and phonological awareness in reading achievement. Journal of Learning Disabilities, 35(6), 510–525.

    Article  Google Scholar 

  • Colangelo, N., Assouline, S. G., & Gross, M. U. M. (2004). A nation deceived: How schools hold back America’s brightest students. Iowa City, IA: Belin-Blank Center.

    Google Scholar 

  • Eaves, L. C., & Ho, H. H. (1997). School placement and academic achievement in children with autistic spectrum disorders. Journal of Developmental and Physical Disabilities, 9(4), 277–291.

    Article  Google Scholar 

  • Estes, A., Rivera, V., Bryan, M., Cali, P., & Dawson, G. (2011). Discrepancies between academic achievement and intellectual ability in higher-functioning school-aged children with autism spectrum disorder. Journal of Autism and Developmental Disorders, 41, 1044–1052. doi:10.1007/s10803-010-1127-3.

    Article  Google Scholar 

  • Foley Nicpon, M., Allmon, A., Sieck, R., & Stinson, R. D. (2011). Empirical investigation of twice-exceptionality: Where have we been and where are we going? Gifted Child Quarterly, 55(1), 3–17. doi:10.1177/0016986210382575.

    Article  Google Scholar 

  • Foley Nicpon, M., Assouline, S. G., & Stinson, R. D. (2012). Cognitive and academic profiles of gifted Students with autism or Asperger syndrome. Gifted Child Quarterly, 56(1).

  • Fuentes, C. T., Mostofsky, S. H., & Bastian, A. J. (2009). Children with autism show specific handwriting impairments. Neurology, 73(19), 1532–1537. doi:10.1212/WNL.0b013e3181c0d48c.

    PubMed  Article  Google Scholar 

  • Harackiewicz, J. M., Barron, K. E., Tauer, J. M., & Elliot, A. J. (2002). Predicting success in college: A longitudinal study of achievement goals and ability measures as predictors of interest and performance from freshman year through graduation. Journal of Educational Psychology, 94(3), 562–575.

    Article  Google Scholar 

  • Jensen, A. R. (1998). The g factor: The science of mental ability. Westport, CT: Praeger.

    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.

    PubMed  Article  Google Scholar 

  • Kanner, L. (1943). Autistic disturbances of affective contact. Nervous Child, 2, 217–253.

    Google Scholar 

  • Lord, C., Rutter, M., DiLavore, P. C., & Risi, S. (2003). Autism diagnostic observation schedule. Los Angeles, CA: Western Psychological Services.

    Google Scholar 

  • Lubinski, D., Webb, R. M., Morelock, M. J., & Benbow, C. P. (2001). Top 1 in 10,000: A 10-year follow-up of the profoundly gifted. Journal of Applied Psychology, 86(4), 718–729.

    PubMed  Article  Google Scholar 

  • Mayes, S. D., & Calhoun, S. L. (2003). Analysis of WISC-III, Stanford-Binet IV, and academic achievement tests scores in children with Autism. Journal of Autism and Developmental Disorders, 33(3), 329–341.

    PubMed  Article  Google Scholar 

  • Mayes, S. D., & Calhoun, S. L. (2007). Learning, attention, writing, and processing speed in typical children and children with ADHD, autism, anxiety, depression, and oppositional-defiant disorder. Child Neuropsychology, 13, 469–493.

    PubMed  Article  Google Scholar 

  • Meyer, J. A. (2001). Cognitive patterns in autism spectrum disorders. Assessment for Effective Intervention, 27, 27–35.

    Article  Google Scholar 

  • Myles, B. S., Barnhill, G. P., Hagiwara, T., Griswold, D. E., & Simpson, R. L. (2001). A synthesis of studies on the intellectual, academic, social/emotional and sensory characteristics of children and youth with Asperger syndrome. Education and Training in Mental Retardation and Developmental Disabilities, 36(3), 304–311.

    Google Scholar 

  • Ozonoff, S., & Griffith, E. M. (2000). Neuropsychological function and the external validity of Asperger syndrome. In A. Klin, E. R. Volkmar, & S. Sparrow (Eds.), Asperger syndrome (pp. 72–96). New York: Guilford Press.

    Google Scholar 

  • Raulerson, B. A., Donovan, M. J., Whiteford, A. P., & Kellogg, R. T. (2010). Differential verbal, visual, and spatial working memory in written language production. Perceptual and Motor Skills, 110(1), 229–244.

    PubMed  Article  Google Scholar 

  • Rohde, T. E., & Thompson, L. A. (2007). Predicting academic achievement with cognitive ability. Intelligence, 35, 83–92.

    Article  Google Scholar 

  • Rowe, E. W., Kingsley, J. M., & Thompson, D. F. (2010). Predictive ability of the general ability index (GAI) versus the full scale IQ among gifted referrals. School Psychology Quarterly, 25(2), 119–128.

    Article  Google Scholar 

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

    Google Scholar 

  • Sansosti, F. J., Powell-Smith, K. A., & Cowan, R. J. (2010). Ausism/Asperger syndrome in schools: Assessment and intervention. New York, NY: Guilford Press.

    Google Scholar 

  • Sattler, J. M. (2008). Assessment of children: Cognitive foundations (5th ed.). San Diego, CA: Jerome Sattler, Publisher, Inc.

    Google Scholar 

  • Stephens, K. R. (2011). Federal and state response to the gifted and talented. Journal of Applied School Psychology, 27(4), 306–318.

    Google Scholar 

  • Swanson, H. L. (2011). The influence of working memory growth on reading and math performance in children with math and/or reading disabilities. In P. Barrouillet & V. Gaillard (Eds.), Cognitive development and working memory: A dialogue between neo-Piagetian theories and cognitive approaches (pp. 203–231). New York: Psychology Press.

    Google Scholar 

  • Swanson, H. L., Zheng, Z., & Jerman, O. (2009). Working memory, short-term memory, and reading disabilities: A selective meta-analysis of the literature. Journal of Learning Disabilities, 42(3), 260–287.

    PubMed  Article  Google Scholar 

  • Volkmar, F. R., & Klin, A. (2000). Diagnostic issues in Asperger syndrome. In A. Klin, F. R. Volkmar, & S. S. Sparrow (Eds.), Asperger syndrome. New York, NY: Guilford Press.

    Google Scholar 

  • Wechsler, D. (1997). Wechsler adult intelligence scale (3rd ed.). San Antonio, TX: The Psychological Corporation.

    Google Scholar 

  • Wechsler, D. (2003). Wechsler intelligence scale for children (4th ed.). San Antonio, TX: The Psychological Corporation.

    Google Scholar 

  • Witwer, A. N., & Lecavalier, L. (2008). Examining the validity of autism spectrum disorder subtypes. Journal of Autism and Developmental Disorders, 38, 1611–1624.

    PubMed  Article  Google Scholar 

  • Woo, S. M., & Keatinge, C. (2008). Diagnosis and treatment of mental disorders across the lifespan. Hoboken, NJ: Wiley.

    Google Scholar 

  • Woodcock, R. W., McGrew, K. S., & Mather, N. (2001). Woodcock-Johnson III tests of cognitive ability. Itasca, IL: Riverside.

    Google Scholar 

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Acknowledgments

The authors gratefully acknowledge the students and parents who participated in the research through the Assessment and Counseling Clinic of The University of Iowa Belin-Blank Center for Gifted and Talented Education. The authors gratefully acknowledge the support of the Belin-Blank Center.

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Affiliations

  1. Department of Quantitative and Psychological Foundations, College of Education, The University of Iowa, 600 Blank Honors Center, Iowa City, IA, 52242, USA

    Susan G. Assouline, Megan Foley Nicpon & Lori Dockery

Authors
  1. Susan G. Assouline
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  2. Megan Foley Nicpon
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  3. Lori Dockery
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Correspondence to Susan G. Assouline.

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Assouline, S.G., Foley Nicpon, M. & Dockery, L. Predicting the Academic Achievement of Gifted Students with Autism Spectrum Disorder. J Autism Dev Disord 42, 1781–1789 (2012). https://doi.org/10.1007/s10803-011-1403-x

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  • DOI: https://doi.org/10.1007/s10803-011-1403-x

Keywords

  • Autism
  • Cognitive ability
  • Academic achievement
  • Gifted