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Psychometric Validation of the Autism Impact Measure (AIM)
Richard Houghton1,2, Brigitta Monz3, Kiely Law4,5
1Personalized Health Care Data Science, Real World Data, F. Hoffmann-La Roche Ltd, Grenzacherstrasse. 124, 4070, Basel, Switzerland. richard.houghton@roche.com.
Abstract:
The Autism impact measure (AIM) is a caregiver-reported questionnaire assessing autism symptom frequency and impact in children, previously shown to have good test-retest reliability, convergent validity and structural validity. This study extended previous work by exploring the AIM's ability to discriminate between 'known-groups' of children, and estimating thresholds for clinically important responses. Data were collected online and electronically on computer and mobile devices; hence, it was also possible to confirm other psychometric properties of the AIM in this format. This study provides confirmatory and additional psychometric validation of the AIM. The AIM offers a valid, quick and inexpensive method for caregivers to report core symptoms of autism spectrum disorder (ASD) including communication deficits, difficulties with social interactions and repetitive behaviors.
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