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09-04-2019 | OriginalPaper | Uitgave 6/2019 Open Access

Psychometric Validation of the Autism Impact Measure (AIM)

Tijdschrift:: Journal of Autism and Developmental Disorders > Uitgave 6/2019

Auteurs:: Richard Houghton, Brigitta Monz, Kiely Law, Georg Loss, Stephanie Le Scouiller, Frank de Vries, Tom Willgoss

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Electronic supplementary material

The online version of this article (https://doi.org/10.1007/s10803-019-04011-2) contains supplementary material, which is available to authorized users.

The original version of this article was revised due to retrospective open access.

A correction to this article is available online at https://doi.org/10.1007/s10803-019-04076-z.

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Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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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Titel: Psychometric Validation of the Autism Impact Measure (AIM)
Auteurs:: Richard Houghton
Brigitta Monz
Kiely Law
Georg Loss
Stephanie Le Scouiller
Frank de Vries
Tom Willgoss
Publicatiedatum: 09-04-2019
DOI: https://doi.org/10.1007/s10803-019-04011-2
Uitgeverij: Springer US
Tijdschrift: Journal of Autism and Developmental Disorders
Uitgave 6/2019
Print ISSN: 0162-3257
Elektronisch ISSN: 1573-3432

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