Factor Structure and Psychometric Properties of the Child Social Preference Scale‐3 in Children With Autism

Considerable variability in social engagement among individuals with autism is well documented. Since multiple processes may contribute to this heterogeneity, validating tools to assess these differences is crucial. Originally developed in the general population, the Child Social Preference Scale (CSPS-3) aims to assess distinct forms of social disengagement arising from different combinations of approach and avoidance motivations and holds promise for delineating variability in social behaviors within autism spectrum disorder (ASD). This study investigated the factor structure and psychometric properties of the CSPS-3 in a sample of 689 children diagnosed with autism (Mage = 11.23, SD = 3.56; 76% male). The results suggest that a bifactor model, consisting of a general factor and three subscales (shyness, unsociability, and social avoidance), provided the best fit to the data, with the general factor accounting for most of the variance. While the subscales demonstrated adequate internal consistency, their construct reliability and stability varied, with much of the reliable variance attributed to the general factor. The structure was consistent across age and sex subgroups, and the subscales showed distinct patterns of associations with key clinical correlates. These findings support the CSPS-3's utility in assessing diverse forms of social disengagement in the autism population, while indicating that the subscales could be refined to better capture their unique aspects.

Authors

Institutions

Publication Details

Journal
Autism Research
Published
2025-05-26
DOI
https://doi.org/10.1002/aur.70059
Citations
1
Primary Topic
Autism Spectrum Disorder Research
Type
article
Field-Weighted Citation Impact
1.43
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Factor Structure and Psychometric Properties of the Child Social Preference Scale‐3 in Children With Autism

Emily Spackman, Lacey Chetcuti, Antonio Y. Hardan, Thomas William Frazier et al.
1 citations
Autism Research
Autism Spectrum Disorder Research
1.43
article

Factor Structure and Psychometric Properties of the Child Social Preference Scale‐3 in Children With Autism

Emily Spackman, Lacey Chetcuti, Antonio Y. Hardan, Thomas William Frazier, Mirko Uljarević, Emma K. Baker
article en
1 citations

Abstract

Considerable variability in social engagement among individuals with autism is well documented. Since multiple processes may contribute to this heterogeneity, validating tools to assess these differences is crucial. Originally developed in the general population, the Child Social Preference Scale (CSPS-3) aims to assess distinct forms of social disengagement arising from different combinations of approach and avoidance motivations and holds promise for delineating variability in social behaviors within autism spectrum disorder (ASD). This study investigated the factor structure and psychometric properties of the CSPS-3 in a sample of 689 children diagnosed with autism (Mage = 11.23, SD = 3.56; 76% male). The results suggest that a bifactor model, consisting of a general factor and three subscales (shyness, unsociability, and social avoidance), provided the best fit to the data, with the general factor accounting for most of the variance. While the subscales demonstrated adequate internal consistency, their construct reliability and stability varied, with much of the reliable variance attributed to the general factor. The structure was consistent across age and sex subgroups, and the subscales showed distinct patterns of associations with key clinical correlates. These findings support the CSPS-3's utility in assessing diverse forms of social disengagement in the autism population, while indicating that the subscales could be refined to better capture their unique aspects.

Autism ResearchVol. 18(7)
Autism Speaks (US), John Carroll University (US), SUNY Upstate Medical University (US), Stanford University (US)
Reduced inequalities
Openalex Percentile: Top 19%
Autism Spectrum Disorder Research
1.43
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.