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. 2019 Jun;49(6):2559-2570.
doi: 10.1007/s10803-019-04011-2.

Psychometric Validation of the Autism Impact Measure (AIM)

Richard Houghton  1   2 , Brigitta Monz  3 , Kiely Law  4   5 , Georg Loss  3 , Stephanie Le Scouiller  6 , Frank de Vries  7   8 , Tom Willgoss  6
Affiliations

Psychometric Validation of the Autism Impact Measure (AIM)

Richard Houghton et al. J Autism Dev Disord. 2019 Jun.

Erratum in

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.

Keywords: Autism spectrum disorder; Outcome; Psychometric validation; Symptoms; Treatment.

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Conflict of interest statement

RH, BM, GL, SLS and TW are full-time employees of F. Hoffmann-La Roche Ltd., which has drugs for autism under development. BM and TW holds stock options from F. Hoffmann-La Roche Ltd. KL is a research consultant with the Simons Foundation Autism Research Initiative which funds and operates SPARK. FV: none.

Figures

Fig. 1
Fig. 1
Flow Chart of Analysis Populations
Fig. 2
Fig. 2
Mean Total AIM Score by Known-groups
Fig. 3
Fig. 3
Mean AIM Communication Domain Score by Known-groups
See this image and copyright information in PMC

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