“What does ‘often’ even mean?” Revising and validating the Comprehensive Autistic Trait Inventory in partnership with autistic people

This project provides a revised trait inventory that resonates with actual autistic experience, along with guidelines for creating self-report measures that are sensitive, accessible, and non-stigmatising.

Authors

Institutions

Publication Details

Journal
Molecular Autism
Published
2025-02-06
DOI
https://doi.org/10.1186/s13229-025-00643-7
Citations
8
Primary Topic
Autism Spectrum Disorder Research
Type
article
Field-Weighted Citation Impact
11.45
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

“What does ‘often’ even mean?” Revising and validating the Comprehensive Autistic Trait Inventory in partnership with autistic people

Nathan Caruana, Outi Tuomainen, Nathan Weber, Friederike Charlotte Hechler et al.
8 citations
Molecular Autism
Autism Spectrum Disorder Research
11.45
article

“What does ‘often’ even mean?” Revising and validating the Comprehensive Autistic Trait Inventory in partnership with autistic people

Nathan Caruana, Outi Tuomainen, Nathan Weber, Friederike Charlotte Hechler, Frank Fahr, Bodie Karlek, Marie Maroske, Meike Misia
article en
8 citations

Abstract

This project provides a revised trait inventory that resonates with actual autistic experience, along with guidelines for creating self-report measures that are sensitive, accessible, and non-stigmatising.

Molecular AutismVol. 16(1)
Flinders University (AU), University of Potsdam (DE), Macquarie University (AU)
Partnerships for the goals
Openalex Percentile: Top 1%
Autism Spectrum Disorder Research
11.45
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.