Validity of the social responsiveness scale to differentiate between autism spectrum disorders and disruptive behaviour disorders

2013 ◽  
Vol 23 (2) ◽  
pp. 81-93 ◽  
Author(s):  
Hannah Cholemkery ◽  
Janina Kitzerow ◽  
Sonja Rohrmann ◽  
Christine M. Freitag
2013 ◽  
Vol 16 (4) ◽  
pp. 2156759X1501604
Author(s):  
Richard W. Auger

The number of students with autism spectrum disorders (ASD) has risen significantly in recent years (CDC, 2012), and students with ASD present unique challenges to schools and school counselors. This article presents a synthesis of recent research literature related to ASD for the purpose of providing school counselors with assistance in understanding and addressing the needs of students with ASD. Specific areas of focus include the prevalence, developmental course, and defining characteristics of ASD, and research on the effectiveness of interventions for students with ASD. Students with ASD are at increased risk for a range of problems, including social deficits and limitations, anxiety, aggression, peer victimization, and underachievement (Ashburner, Ziviani, & Rodger, 2010). Interventions to address the social deficits of students with ASD have shown promise but also have been found to lack results that are generalizable and that persist over time (Schreiber, 2011). This article provides specific recommendations for school counselors.


2021 ◽  
Vol 18 (3) ◽  
pp. 257-265
Author(s):  
So Yoon Kim ◽  
Young Ah Kim ◽  
Da-Yea Song ◽  
Guiyoung Bong ◽  
Jong-myeong Kim ◽  
...  

Objective This study examined how state and trait anxiety of adolescents with autism spectrum disorders (ASD) are associated with their demographic characteristics, repetitive and restricted behaviors (RRBs), and internalizing and externalizing problem behaviors.Methods A total of 96 participants with ASD (mean age=14.30 years; 91 males) completed a battery of tests including the State/Trait Anxiety Inventory (STAI), the Autism Diagnostic Interview-Revised, the Social Responsiveness Scale (SRS), and a cognitive test measuring intelligence quotient (IQ). Participants’ parents completed the Child Behavior Checklist (CBCL). Pearson’s correlations among age, IQ, two subscales of the STAI (i.e., STAIS and STAIT, measuring self-reported state and trait anxiety, respectively), and the Anxiety subscale of CBCL (i.e., CBCL-Anxiety, measuring parent-reported trait anxiety) were computed. Subsequently, Pearson’s correlations were computed among the three anxiety measures, RRBs, and problem behaviors, while controlling for participants’ age and IQ.Results The STAIS and CBCL-Anxiety were both significantly correlated with higher age, sensory sensitivity, depressive symptoms, somatic complaints, and aggressive behaviors. All three anxiety variables were significantly and positively correlated with total SRS RRB scores. Additionally, the STAIS and STAIT were significantly associated with more severe Compulsion/Adherence behaviors, and the CBCL-Anxiety was also significantly associated with more severe Rule-breaking Behaviors.Conclusion Self-reported state anxiety showed association patterns similar to those of parent-reported trait anxiety. Future studies investigating the precise operationalization of different anxiety instruments are needed to accurately measure the anxiety of adolescents with ASD.


PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0243162
Author(s):  
Barry Wright ◽  
Helen Phillips ◽  
Ann Le Couteur ◽  
Jennifer Sweetman ◽  
Rachel Hodkinson ◽  
...  

A Delphi consensus methodology was used to adapt a screening tool, the Social Responsiveness Scale– 2 (SRS-2), for use with deaf children including those whose preferred communication method is sign language. Using this approach; 27 international experts (The Delphi International Expert Panel), on the topic of autism spectrum disorder (ASD) in deaf people, contributed to the review of item content. A criterion for agreement was set at 80% of experts on each item (with 75% acceptable in the final fourth round). The agreed modifications are discussed. The modified SRS-2 research adaptation for deaf people (referred to here as the “SRS-2 Deaf adaptation”) was then translated into British Sign Language using a robust translation methodology and validated in England in a sample of 198 deaf children, 76 with Autism Spectrum Disorders (ASD) and 122 without ASD. The SRS-2 Deaf adaptation was compared blind to a NICE (National Institute for Health and Care Excellence) guideline standard clinical assessment. The area under the Receiver Operating (ROC) curve was 0.811 (95% CI: 0.753, 0.869), with an optimal cut-off value of 73, which gave a sensitivity of 82% and a specificity of 67%. The Cronbach Alpha coefficient was 0.968 suggesting high internal consistency. The Intraclass Correlation Coefficient was 0.897, supporting test-retest reliability. This performance is equivalent to similar instruments used for screening ASD in the hearing population.


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