Assessment & Research

Autism diagnostic interview: a standardized investigator-based instrument.

Le Couteur et al. (1989) · Journal of autism and developmental disorders 1989
★ The Verdict

The first Autism Diagnostic Interview separated autistic kids from kids with ID only with 100 % accuracy, launching the tool we still shorten or lengthen by age today.

✓ Read this if BCBAs who give or supervise ADI-R assessments in clinic or research settings.
✗ Skip if Practitioners who rely only on brief screening questionnaires or administrative data.

01Research in Context

01

What this study did

The team built the first Autism Diagnostic Interview. It is a scripted set of questions for parents.

They tried it on 16 autistic kids and 16 kids with intellectual disability only. All kids had ID.

02

What they found

The new interview got every diagnosis right. It flagged all autistic kids and no non-autistic kids.

This perfect score showed the tool could tell the two groups apart.

03

How this fits with other research

Moss et al. (2008) followed kids for seven years. Most kept their ADI-R label, but symptom scores dropped. The tool stayed stable even as kids improved.

McLennan et al. (2008) trimmed the toddler version. They dropped the behavior domain and agreement went up. The full 1989 form works best for school-age kids, not toddlers.

Lotfizadeh et al. (2020) tried billing codes alone. Codes missed many cases and called some wrong kids autistic. Their poor results remind us why we still need the gold-standard interview.

04

Why it matters

You now know the ADI started with perfect accuracy in a small, clear sample. Later work shows scores hold steady for years and can be shortened for toddlers. When you assess, use the full algorithm for ages four and up. For under-threes, skip the behavior domain. Always pair the interview with observation; billing codes are not enough.

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Check your client’s age: skip the behavior domain for toddlers, keep it for older kids.

02At a glance

Intervention
not applicable
Design
other
Sample size
32
Population
autism spectrum disorder, intellectual disability
Finding
strongly positive

03Original abstract

The development of a new standardized investigator-based interview for use in the differential diagnosis of pervasive developmental disorders is described, together with a diagnostic algorithm (using ICD-10 criteria) based on its use. Good interrater reliability for algorithm items was shown between four raters, two in Canada and two in the UK, who rated 32 videotaped interviews. The items also significantly discriminated between 16 autistic and 16 nonautistic mentally handicapped subjects. The algorithm based on ICD-10 identified all 16 autistic individuals and none of the 16 nonautistic subjects.

Journal of autism and developmental disorders, 1989 · doi:10.1007/BF02212936