Assessment & Research

Autistic spectrum disorder: a child population profile.

Keen et al. (2004) · Autism : the international journal of research and practice 2004
★ The Verdict

Cognitive scores alone should not decide classroom type—check real-life language and self-help skills first.

✓ Read this if BCBAs who sit on IEP teams or recommend school placements.
✗ Skip if Clinicians only doing home-based early intervention.

01Research in Context

01

What this study did

Daphne and colleagues counted every child with autism in one UK district. They looked at test scores, school type, and other diagnoses like ADHD.

The team compared cognitive scores with where each child actually went to school.

02

What they found

Autism diagnoses doubled in just four years. Many kids also had ADHD.

Surprise: high test scores did not mean a mainstream seat, and low scores did not mean a special school. Verbal skill mattered more than overall IQ.

03

How this fits with other research

Ilan et al. (2021) later saw the same weak link between scores and placement in preschoolers. Together the studies warn that IQ alone is a poor placement guide at any age.

Keen et al. (2016) reviewed worldwide papers and found huge scatter in school success for autistic pupils. They agree you must look at each child’s strengths, not a single number.

Guisso et al. (2018) added a new layer: one in three UK autistic children now take psychotropic medicine, often for ADHD. High overlap of conditions has stayed constant since 2004.

04

Why it matters

When you write an IEP, list verbal ability and attention needs separately from IQ. Push for observations in both mainstream and resource rooms before you pick a desk. A child who tests low but talks well may thrive with typical peers, while a quiet child with high non-verbal scores may still need intensive support.

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→ Action — try this Monday

Add a language sample and classroom observation to your next assessment report before you suggest placement.

02At a glance

Intervention
not applicable
Design
case series
Population
autism spectrum disorder
Finding
not reported

03Original abstract

This study analyses the prevalence of ASD, comorbidity, educational provision and ability in autistic children in a single health district, born between 1983 and 1996. The number of recorded diagnoses doubled over a 4 year period. This appeared to be due to greater recognition of ASD in more able children, in children initially presenting with ADHD, and possibly in females. ADHD accounted for a substantial proportion of comorbidity. Age at diagnosis appeared to be related to school placement. Cognitive ability levels ranging from more than three standard deviations below the mean to more than one standard deviation above the mean were found in the moderate and severe learning difficulty school population as well as in the mainstream population. Exceptionally low levels of verbal ability were present in a high proportion of mainstream pupils. Measured levels of cognitive function show poor relationship with actual educational placement.

Autism : the international journal of research and practice, 2004 · doi:10.1177/1362361304040637