The identification of exceptional skills in school‐age autistic children: Prevalence, misconceptions and the alignment of informant perspectives

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Clark, T., Jung, J. Y., Roberts, J., Robinson, A., & Howlin, P. (2023). The identification of exceptional skills in school‐age autistic children: Prevalence, misconceptions and the alignment of informant perspectives. Journal of Applied Research in Intellectual Disabilities, 36(5), 1034-1045. https://doi.org/10.1111/jar.13113

Publication date: 9 May 2023 Added to AutiHub: 23 Sep 2026 Type: Article Article language: English
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Authors

Publication authors
5
Publication authors identified as autistic
1 / 5 (20.0%)
  1. Trevor Clark
  2. Jae Yup Jung
  3. Jacqueline Roberts
  4. Ainslie Robinson *
  5. Patricia Howlin

Abstract

Abstract Background Although autism is commonly described in terms of deficits, many autistic individuals have been found to demonstrate exceptional skills. The shift to a strengths‐based approach in the field of autism necessitates increased understanding of these skills. Aims This study examined (1) rates of exceptional skills in autistic school‐age children as reported by parents and teachers, (2) associations between exceptional skills, autism severity and intellectual disability and (3) correlations between parent and teacher reports of exceptional skills. Method Parents and teachers of 76 children attending autism‐specific schools in Australia completed online questionnaires. Thereafter, 35 parents and teachers who identified their child as having one or more exceptional skills were interviewed by a clinical psychologist. Results Forty parents (53%) and 16 (21%) teachers reported that their child had at least one exceptional skill (agreement between the parent and teacher reports was low; κ =.03, p =.74). In comparison, clinical psychologist assessments identified 22 children (29%) as having at least one such skill. No statistically significant relationships were identified between exceptional skills, autism severity and intellectual disability. Conclusion While different exceptional skills were identified, regardless of children's intellectual functioning or autism severity, parents and teachers varied substantially in their evaluations of these skills. Furthermore, the identified prevalence rates of exceptional skills did not always align with the rates identified in previous studies. The study findings highlight the need for definitional consensus on different types of exceptional skills, and the importance of multiple criteria/multi‐instrument approaches in the identification of exceptional skills in autistic children.

Bibliography cited by this reference

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Cited bibliography overview

These indicators describe the bibliography cited by this publication. An author name is counted each time it appears in one cited reference, so the same person can be counted more than once. Names not yet linked to an author already present in AutiHub are treated as unknown, not as non-autistic. Last computed: 2 Oct 2026 07:52.

Cited references
112
With a DOI
96
Without a DOI, from raw bibliography text
14
5 / 112 (4.5%) cited references include at least one author identified as autistic.
References with data to complete
4 / 112 (3.6%)
References with detected author names
108 / 112 (96.4%)
Without detected author names
4
Without a structured title
3
Without a stable identifier
11
References with raw author names still to review
0
References with external metadata lookup issues
3
These indicators apply to cited references displayed on this page, after technical duplicates have been merged. A reference without a DOI can still support author statistics when a title and author names are available.
Author names detected in the cited bibliography
340
From DOI or external metadata
340
From validated raw bibliography text
0
Raw names already validated
0
Raw names still to review
0
131 / 340 (38.5%) names are linked to an author already present in AutiHub. 209 / 340 (61.5%) names are not yet linked.
Names linked to a person identified as autistic
47 / 340 (13.8%)
Calculated across all author names detected in the cited bibliography. Among names linked to an author already present in AutiHub: 47 / 131 (35.9%). Distinct people identified as autistic: 43 / 302 (14.2%).
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