Aphantasia Logo
Back to all research
Aphantasia Logo

Building awareness and understanding of aphantasia through research, education, and community support.

About

  • What is Aphantasia?
  • What is Hyperphantasia?
  • Take Assessment
  • Getting Started
  • Newsletter
  • About Us
  • Contact

Community

  • Premium Membership
  • Find support
  • Discussions
  • Events
  • Visualize

For Professionals

  • Overview
  • Free Introduction
  • Counselor Training
  • Educator Training
  • List Your Practice
  • Pricing & Bundles

Resources

  • Articles & Stories
  • Videos & Interviews
  • Aphantasia Course
  • FAQs

Research

  • Research Library
  • Participate in Studies
  • Recruitment Services

© 2026 Aphantasia Network. All rights reserved.

  • Terms and Conditions
  • Privacy Policy
Aphantasia Logo
Back to all research
Aphantasia Logo

Building awareness and understanding of aphantasia through research, education, and community support.

About

  • What is Aphantasia?
  • What is Hyperphantasia?
  • Take Assessment
  • Getting Started
  • Newsletter
  • About Us
  • Contact

Community

  • Premium Membership
  • Find support
  • Discussions
  • Events
  • Visualize

For Professionals

  • Overview
  • Free Introduction
  • Counselor Training
  • Educator Training
  • List Your Practice
  • Pricing & Bundles

Resources

  • Articles & Stories
  • Videos & Interviews
  • Aphantasia Course
  • FAQs

Research

  • Research Library
  • Participate in Studies
  • Recruitment Services

© 2026 Aphantasia Network. All rights reserved.

  • Terms and Conditions
  • Privacy Policy
Ask AI About This Paper
Ask AI About This Paper

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

DOI: 10.1186/s13229-025-00643-7
Tags:
Measurement & Assessment
Hechler, F. C., Tuomainen, O., Weber, N., Fahr, F., Karlek, B., Maroske, M., Misia, M., & Caruana, N. (2025). “what does ‘often’ even mean?” revising and validating the comprehensive autistic trait inventory in partnership with autistic people. Molecular Autism, 16(1). doi:10.1186/s13229-025-00643-7

Abstract

In this study, we revised the comprehensive autistic trait inventory (CATI)—a self-report inventory of autistic traits, in collaboration with autistic people and provided preliminary evidence for its validity as a self-report measure of autistic traits in the general population. An established strength of the CATI is its ability to capture female autistic traits. Our project aimed to extend this further, to increase the inventory’s accessibility, and to minimise stigma induced by deficit-based representations of autistic experience. Together with 22 individuals from the autism and autistic communities, we created the Revised Comprehensive Autistic Trait Inventory (CATI-R). Revisions included rewording items to increase clarity or reduce stigma and expanding items to capture diverse autistic experiences. We also present a series of guidelines for developing self-report inventories of subclinical neurodivergent traits. We validated the CATI-R within a large sample (n = 1439), comprising people with a self-reported autism diagnosis (n = 331), people who self-identified as autistic (n = 44), and non-autistic participants (n = 1046). We successfully validated a revision of the CATI. A confirmatory factor analysis supported the six-subscale structure (two-factor bifactors model: Chi-squared = 2705.73, p < .001, RMSEA = .04, SRMR = .03, CFI = .95, TLI = .94). Spearman’s rank correlations showed positive relationships between all subscales (all rs > .56, ps < .001). Convergent validity was demonstrated by significant correlations between the CATI-R and two contemporary inventories of autistic traits: the AQ (rho = .86, p < .01) and BAPQ (rho = .82, p < .01). Finally, a measurement invariance analysis indicated that total-scale scores can be compared across genders. Our study presents only initial evidence for the validity of the CATI-R that should be enriched with further analyses and types of data, including a larger number of participants who do not identify as male or female. 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. Autistic people know what it means to be autistic. So autistic people may be especially well-placed to determine how autistic traits and experiences should be measured and described. Until now, most autism questionnaires have been made by non-autistic people. In our project, autistic people—including those with and without academic research backgrounds—edited an autism questionnaire called the ‘Comprehensive Autistic tTrait Inventory’, or ‘CATI’ for short. This is a survey that requires people to read a list of statements and indicate how much each relates to their own experiences. It is used to measure the extent to which people in the general population (including those who are not autistic) have experiences associated with autism. In a large online study, we found that the edited measure consistently and accurately measured autistic traits. We also propose basic guidelines for developing measures that better capture autistic people’s experiences by using questions that are respectful and follow language preferences of the community.

Authors

  • Friederike Charlotte Hechler1
  • Outi Tuomainen1
  • Nathan Weber1
  • Frank Fahr1
  • Bodie Karlek1
  • Marie Maroske1
  • Meike Misia1
  • Nathan Caruana1

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

DOI: 10.1186/s13229-025-00643-7
Tags:
Measurement & Assessment
Hechler, F. C., Tuomainen, O., Weber, N., Fahr, F., Karlek, B., Maroske, M., Misia, M., & Caruana, N. (2025). “what does ‘often’ even mean?” revising and validating the comprehensive autistic trait inventory in partnership with autistic people. Molecular Autism, 16(1). doi:10.1186/s13229-025-00643-7

Abstract

In this study, we revised the comprehensive autistic trait inventory (CATI)—a self-report inventory of autistic traits, in collaboration with autistic people and provided preliminary evidence for its validity as a self-report measure of autistic traits in the general population. An established strength of the CATI is its ability to capture female autistic traits. Our project aimed to extend this further, to increase the inventory’s accessibility, and to minimise stigma induced by deficit-based representations of autistic experience. Together with 22 individuals from the autism and autistic communities, we created the Revised Comprehensive Autistic Trait Inventory (CATI-R). Revisions included rewording items to increase clarity or reduce stigma and expanding items to capture diverse autistic experiences. We also present a series of guidelines for developing self-report inventories of subclinical neurodivergent traits. We validated the CATI-R within a large sample (n = 1439), comprising people with a self-reported autism diagnosis (n = 331), people who self-identified as autistic (n = 44), and non-autistic participants (n = 1046). We successfully validated a revision of the CATI. A confirmatory factor analysis supported the six-subscale structure (two-factor bifactors model: Chi-squared = 2705.73, p < .001, RMSEA = .04, SRMR = .03, CFI = .95, TLI = .94). Spearman’s rank correlations showed positive relationships between all subscales (all rs > .56, ps < .001). Convergent validity was demonstrated by significant correlations between the CATI-R and two contemporary inventories of autistic traits: the AQ (rho = .86, p < .01) and BAPQ (rho = .82, p < .01). Finally, a measurement invariance analysis indicated that total-scale scores can be compared across genders. Our study presents only initial evidence for the validity of the CATI-R that should be enriched with further analyses and types of data, including a larger number of participants who do not identify as male or female. 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. Autistic people know what it means to be autistic. So autistic people may be especially well-placed to determine how autistic traits and experiences should be measured and described. Until now, most autism questionnaires have been made by non-autistic people. In our project, autistic people—including those with and without academic research backgrounds—edited an autism questionnaire called the ‘Comprehensive Autistic tTrait Inventory’, or ‘CATI’ for short. This is a survey that requires people to read a list of statements and indicate how much each relates to their own experiences. It is used to measure the extent to which people in the general population (including those who are not autistic) have experiences associated with autism. In a large online study, we found that the edited measure consistently and accurately measured autistic traits. We also propose basic guidelines for developing measures that better capture autistic people’s experiences by using questions that are respectful and follow language preferences of the community.

Authors

  • Friederike Charlotte Hechler1
  • Outi Tuomainen1
  • Nathan Weber1
  • Frank Fahr1
  • Bodie Karlek1
  • Marie Maroske1
  • Meike Misia1
  • Nathan Caruana1
Aphantasia Logo

What This Study Is About

Researchers worked directly with autistic people to update a questionnaire used to identify autistic traits in the general population. The goal was to make the questions clearer, more respectful, and better at capturing the actual lived experiences of neurodivergent individuals.

How They Studied It

The research team collaborated with 22 members of the autistic community to rewrite the Comprehensive Autistic Trait Inventory (CATI). They then tested this new version, called the CATI-R, with a large group of 1,439 people. This group included:
  • 331 people with a formal autism diagnosis
  • 44 people who self-identify as autistic
  • 1,064 non-autistic people
Participants completed the new questionnaire along with older, established autism assessments to see how the results compared.

What They Found

The study successfully created a more accurate tool for measuring autistic traits. The researchers found that the CATI-R results aligned closely with older tests, proving it is a reliable measure. Importantly, they found that the questionnaire worked consistently across different genders, meaning it can be used to compare traits in men, women, and non-binary individuals fairly. The new version also reduced "deficit-based" language—words that focus only on what a person cannot do—which helps reduce the stigma often associated with these assessments.

What This Might Mean

This study suggests that involving neurodivergent people in the design of research tools leads to better, more respectful science. While the CATI-R is a strong tool for identifying traits, the researchers note that this is just the first step in validating it. They suggest that future studies should include even more diverse groups, particularly more people who do not identify as male or female, to ensure the tool works for everyone.

One Interesting Detail

The title of the paper, "What does 'often' even mean?", came directly from feedback from autistic participants who pointed out that vague words used in traditional psychology tests can be confusing and difficult to answer accurately.
This summary was generated by AI and may contain errors. Always refer to the original paper for accuracy.
Most-Cited Researchers
Top 10 researchers by number of papers published in Aphantasia
1

Joel Pearson

35
2

Merlin Monzel

30
3

Adam Zeman

20
4

Rebecca Keogh

17
5

Martin Reuter

16
6

Juha Silvanto

14
7

Paolo Bartolomeo

11
8

Carla Dance

10
9

Jianghao Liu

9
10

Fraser Milton

9
Recruit the largest aphantasia cohort on earth

97.4K+ users & subscribers across the imagery spectrum, plus 1.5M+ survey responses in our dataset. Skip the recruitment bottleneck and run your study with the community we've built for a decade.

Partner with us