Exploratory Factor Analysis of SRS-2 Teacher Ratings for Youth with ASD.
Teacher SRS-2 ratings fit a clean four-factor model and still catch social impairment in lower-functioning students with ASD.
01Research in Context
What this study did
Teachers filled out the SRS-2 for students with autism who need lots of daily help. The team ran a factor analysis to see if the test still works for these lower-skilled youth.
They wanted to know if teacher scores group into the same four areas the test claims to measure.
What they found
The four-factor model held up. Teacher answers lined up well with the test’s four social domains.
Most students scored above the clinical cut-off, so the tool still flags real social trouble in this group.
How this fits with other research
Cohn et al. (2007) did the same math on the older CARS teacher form and also found four factors. Their work is an earlier step, showing the idea works across scales.
Gomez et al. (2019) trimmed the AQ-Child from five factors to four in an ADHD sample. Both studies say four beats five, but Rapson used parents and a different diagnosis.
Faja et al. (2023) compared eight social tools and kept SRS-2 on the short list for telling ASD from typical kids. That big head-to-head backs up the choice you already make.
Why it matters
You can trust the SRS-2 teacher form even when your client has low language or daily-living skills. No need to hunt for a new scale; the same four-factor snapshot works. Use it to set social-skills goals and show parents clear numbers from school.
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Join Free →Hand the SRS-2 to the teacher today; score the four factors as usual and use any factor that lands above the cut-off as a target for your next social-skills lesson.
02At a glance
03Original abstract
This study examined the factor structure and internal consistency of special education teaching staff ratings on the Social Responsiveness Scale-2 (SRS-2; Constantino and Gruber 2012), as well as the percentage of ratings falling above pre-established cut scores, for a sample of lower-functioning youth with autism spectrum disorder (ASD; n = 264). Results of the exploratory factor analysis yielded a four-factor correlated solution. The individual factors and total score demonstrated satisfactory internal consistency reliability for screening purposes. When applying the lowest pre-established cut score (T ≥ 60; minimum indication of clinically significant symptoms/impairments), 85 % of the sample had ratings in that range or higher (more severe). Implications for assessment and future research are provided.
Journal of autism and developmental disorders, 2016 · doi:10.1007/s10803-016-2822-5