Applying Item Response Theory Modeling to Identify Social (Pragmatic) Communication Disorder

2020 ◽  
Vol 63 (6) ◽  
pp. 1916-1932 ◽  
Author(s):  
Haiying Yuan ◽  
Christine Dollaghan

Purpose No diagnostic tools exist for identifying social (pragmatic) communication disorder (SPCD), a new Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition category for individuals with social communication deficits but not the repetitive, restricted behaviors and interests (RRBIs) that would qualify them for a diagnosis of autism spectrum disorder (ASD). We explored the value of items from a widely used screening measure of ASD for distinguishing SPCD from typical controls (TC; Aim 1) and from ASD (Aim 2). Method We applied item response theory (IRT) modeling to Social Communication Questionnaire–Lifetime ( Rutter, Bailey, & Lord, 2003 ) records available in the National Database for Autism Research. We defined records from putative SPCD ( n = 54), ASD ( n = 278), and TC ( n = 274) groups retrospectively, based on National Database for Autism Research classifications and Autism Diagnostic Interview–Revised responses. After assessing model assumptions, estimating model parameters, and measuring model fit, we identified items in the social communication and RRBI domains that were maximally informative in differentiating the groups. Results IRT modeling identified a set of seven social communication items that distinguished SPCD from TC with sensitivity and specificity > 80%. A set of five RRBI items was less successful in distinguishing SPCD from ASD (sensitivity and specificity < 70%). Conclusion The IRT modeling approach and the Social Communication Questionnaire–Lifetime item sets it identified may be useful in efforts to construct screening and diagnostic measures for SPCD.

2015 ◽  
Vol 9 (8) ◽  
pp. 838-845 ◽  
Author(s):  
Lucy Barnard-Brak ◽  
Adam Brewer ◽  
Steven Chesnut ◽  
David Richman ◽  
Anna Marie Schaeffer

BJPsych Open ◽  
2019 ◽  
Vol 5 (3) ◽  
Author(s):  
Pål Surén ◽  
Alexandra Saasen-Havdahl ◽  
Michaeline Bresnahan ◽  
Deborah Hirtz ◽  
Mady Hornig ◽  
...  

Background Early identification and diagnosis is beneficial for children with autism spectrum disorder (ASD). Universal early screening is recommended by many experts, but disputed because evidence is limited, and sensitivity and specificity in general populations are largely unknown. Aims To estimate the sensitivity and specificity of early population-based screening for ASDs. Method The study was based on the Norwegian Mother and Child Cohort Study. The 36-month cohort questionnaire included the Social Communication Questionnaire (SCQ), a 40-item screening instrument for ASD. Results A total of 58 520 mothers (58%) responded to the questionnaire. By the end of follow-up on 31 December 2015, 385 (0.7%) individuals with ASD had been identified among the responders' children. The distributions of SCQ scores in those with ASD and other children had large degrees of overlap. With the cut-off of 15 recommended in the SCQ manual, screening sensitivity was 20% (95% CI 16–24) for ASD overall. For children with ASD who had not developed phrase speech at 36 months, sensitivity was 46% (95% CI 35–57%), whereas it was 13% (95% CI 9–17) for children with ASD with phrase speech. Screening specificity was 99% (95% CI 99–99). With the currently recommended cut-off of 11, sensitivity increased to 42% for ASD overall (95% CI 37–47), 69% (95% CI 58–79) for ASD without phrase speech and 34% (95% CI 29–40) for ASD with phrase speech. Specificity was then reduced to 89% (95% CI 89–90). Conclusions Early ASD screening with a parent checklist had low sensitivity. It identified mainly individuals with ASD with significant developmental delay and captured very few children with ASD with cognitive skills in the normal range. Increasing sensitivity was not possible without severely compromising specificity. Declaration of interest C.L. receives royalty for the Social Communication Questionnaire, which she has co-authored.


2019 ◽  
Vol 28 (12) ◽  
pp. 3385-3391
Author(s):  
Rachel Grove ◽  
Jessica Paynter ◽  
Annette Joosten ◽  
Giacomo Vivanti ◽  
Cheryl Dissanayake ◽  
...  

2019 ◽  
Vol 43 (4) ◽  
pp. 792-801
Author(s):  
Itamar Stein ◽  
Maya Asher ◽  
Shahaf Erez ◽  
Tomer Shechner ◽  
Sofi Marom ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document