Evidence map›Paper›PMID 36341720›Full record

ArticleAutism research : official journal of the International Society for Autism Research2023

Measurement invariance of the Autism Impact Measure (AIM) across sex in children with autism spectrum disorder.

Nicole H Zhong, Ryan P Grimm, Stephen M Kanne, Micah O Mazurek

Open access · hybridAbstract read
In one paragraph

Article in Autism research : official journal of the International Society for Autism Research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 49% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
  3. Measurement invariance of the Autism Impact Measure (AIM) across sex in children with autism spectrum disorder.Autism research : official journal of the International Society for Autism Research · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

Nicole H ZhongSchool of Education and Human Development, University of Virginia, Charlottesville, Virginia, USA.
Ryan P GrimmSRI International, Menlo Park, California, USA.
Stephen M KanneWeill Cornell Medical College and New York-Presbyterian Hospital, New York, USA.ORCID 0000-0002-8691-5759
Micah O MazurekSchool of Education and Human Development, University of Virginia, Charlottesville, Virginia, USA.ORCID 0000-0001-7715-6538
University of Virginia · USNewYork–Presbyterian Hospital · USSRI International · US

Funding

Autism SpeaksU.S. Department of Health and Human Services, Health Resources and Services Administration, Maternal and Child Health Research Program UA3MC11054
6 · The paper itself

Abstract

Measurement invariance, or the degree to which an instrument measures constructs consistently across subgroups, is critical for appropriate interpretations of measures. Given sex differences in the phenotypic and clinical presentation of autism spectrum disorder (ASD), it is particularly important to examine measurement invariance in autism instruments to ensure that ASD measures are not biased toward the more common male ASD phenotype. This study represents an important preliminary investigation evaluating the measurement equivalence of the Autism Impact Measure (AIM) across children and adolescents with ASD. The results indicated that the AIM demonstrated measurement invariance at the configural, metric, and scalar levels across sex in all five domains, including Repetitive Behavior, Communication, Atypical Behavior, Social Reciprocity, and Peer Interaction. These results suggest that ASD core symptoms assessed by the AIM were similar among male and female groups. In addition, the latent means for all five factors were not statistically significantly different across sex groups, revealing no systematic differences on any of the AIM subscales for males and females. Overall, this study showed that the AIM detects core ASD symptoms across all five areas equivalently in males and females and is not biased toward males with ASD.

Indexed as

Autism Spectrum DisorderAutistic DisorderCognitionCommunicationFemaleHumansMaleSex Characteristicsassessmentautism impact measureautism spectrum disordermeasurement invarianceoutcome measuresex differences

Identifiers

PMID36341720
PMCPMC10099563
OpenAlexW4308367371

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.