# Variability and stability of autistic traits in the general population: A systematic comparison between online and in-lab samples

**Authors:** Qianying Wu, Qianhui Hong, Na Yeon Kim, Ralph Adolphs, Lynn K. Paul, Caroline J. Charpentier

PMC · DOI: 10.1017/pen.2025.10001 · Personality Neuroscience · 2025-10-01

## TL;DR

This study compares autistic traits in online and in-lab samples, finding differences in scores and factors like social anxiety that may explain them.

## Contribution

The study systematically compares variability and reliability of autistic traits in online versus in-lab samples using a large dataset.

## Key findings

- Online samples showed higher SRS scores, linked to specific items and higher internalizing symptoms like social anxiety.
- SRS scores decreased with age and were lower in women compared to other genders.
- Test-retest reliability of SRS scores was moderate-to-good and consistent between online and in-lab samples.

## Abstract

The surge of online psychological assessments have brought the autism research community both opportunities and challenges: while they enable rapid large-scale data collection and more power to characterize individual differences, they also bring concerns about data quality, generalizability beyond online samples, and whether autistic traits can be reliably characterized with self-report measures administered online. Here we tackle these concerns by providing a systematic characterization of the autistic traits variability across individuals in a large cross-sectional dataset (N = 2826) as well as its temporal reliability within individuals in a test-retest dataset (N = 247), with both online and in-lab samples. We measured autistic traits using the Social Responsiveness Scale, 2nd version, Adult Self Report (SRS-2-ASR) – a tool that quantifies individual differences in autistic traits along a continuum for the general adult population. Across individuals, we found elevated SRS scores in online samples and were able to trace this effect to specific subsets of SRS items. SRS scores also covaried with internalizing symptoms, decreased with age, and were lower in women compared to other genders. Within individuals, we find moderate-to-good test-retest reliability of SRS scores over long intervals, with no difference between online and in-lab samples, suggesting robust temporal stability. We conclude that there are systematic differences in autistic traits between online and in-lab samples that are partly explained by systematic population-level differences in internalizing symptoms, particularly social anxiety. Future studies that sample across different populations should measure, control for, or stratify with respect to these factors.

## Full-text entities

- **Diseases:** internalizing symptoms (MESH:D000082122), autism (MESH:D001321), social anxiety (MESH:D000072861)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

51 references — full list in the complete paper: https://tomesphere.com/paper/PMC12516608/full.md

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Source: https://tomesphere.com/paper/PMC12516608