Wednesday, November 16, 2016

Best Practice Review: The Social Communication Questionnaire (SCQ)

Best Practice Review: The Social Communication Questionnaire (SCQ)

The Social Communication Questionnaire (SCQ; Rutter, Bailey, & Lord, 2003), previously known as the Autism Screening Questionnaire (ASQ), was initially designed as a companion screening measure for the Autism Diagnostic Interview-Revised (ADI-R; Rutter, Le Couteur & Lord). The SCQ is a parent/caregiver dimensional measure of ASD symptomatology appropriate for children of any chronological age older than fours years. It can be completed by the informant in less than 10 minutes. The primary standardization data were obtained from a sample of 200 individuals who had participated in previous studies of ASD. 

The SCQ is available in two forms, Lifetime and Current, each with 40 questions presented in a yes or no format. Scores on the questionnaire provide an index of symptom severity and indicate the likelihood that a child has an ASD. Questions include items in the reciprocal social interaction domain (e.g., “Does she/he have any particular friends or best friend?”), the communication domain (e.g., “Can you have a to and fro ‘conversation’ with him/her that involves taking turns or building on what you have said?”) and the restricted, repetitive, and stereotyped patterns of behavior domain (e.g., Has she/he ever seemed to be more interested in parts of a toy or an object [e.g., spinning the wheels of a car], rather than using the object as intended?”).
Compared to other screening measures, the SCQ has received significant scrutiny and has consistently demonstrated its effectiveness in predicting ASD versus non-ASD status in multiple studies. A meta-analysis examining the previous research on the utility of the SCQ as a screening instrument found it to be an acceptable screening tool for ASD (area under the curve = 0.885) (Chesnut et al., 2017). The scale has been found to have good discriminant validity and utility as an efficient screener for at-risk groups of school-age children. The lifetime version is recommended for screening purposes as it demonstrates the highest sensitivity value. A threshold raw score of >15 is recommended to minimize the risk of false negatives and indicate the need for a comprehensive evaluation. Comparing autism to other diagnoses, this threshold score resulted in a sensitivity value of .96 and a specificity value of .80 in a large population of children with autism and other developmental disorders. The positive predictive value was .93 with this cutoff. The authors recommend using different cut-off scores for different purposes and populations. Several studies (Allen et al., 2007; Eaves et al, 2006) have suggested that a cut-off of 11 may be more clinically useful (Norris & Lecavalier, 2010).
The SCQ is one of the most researched of the ASD-specific evaluation tools and can be recommended for screening and as part of comprehensive developmental assessment for ASD (Chestnut et al., 2017; Norris & Lecavalier, 2010; Wilkinson, 2010, 2016). The SCQ (Lifetime form) is an efficient screening instrument for identifying children with possible ASD for a more in-depth assessment. For clinical purposes, practitioners might consider a multistage assessment beginning with the SCQ, followed by a comprehensive developmental evaluation (Wilkinson, 2011, 2016). However, cut-off scores may need to be adjusted depending on the population in which it is used. The evidence also indicates that although the SCQ is appropriate for a wide age range, it is less effective when used with younger populations (e.g., children two to three years). It was designed for individuals above the age of four years, and seems to perform best with individuals over seven years of age.

References

Allen CW, Silove N, Williams K, et al. (2007). Validity of the Social Communication Questionnaire in Assessing Risk of Autism in Preschool Children with Developmental Problems. J Autism Dev Disord37, 1272–8.

Chandler, S., Charman, T., Baird, G., Simonoff, E., Loucas, T., Meldrum, D., & Pickles, A. (2007). Validation of the Social Communication Questionnaire in a population cohort of children with autism spectrum disorders. Journal of the American Academy of Child and Adolescent Psychiatry, 46, 1324–1332.

Chesnut, S. R., Wei,T., Barnard-Brak, L., & Richman, D. M. (2017). A meta-analysis of the social communication questionnaire: Screening for autism spectrum disorder. Autism, 21, 920-928. https://doi.org/10.1177/1362361316660065
Eaves L, Wingert H, Ho H, et al. (2006). Screening for Autism Spectrum Disorders with the Social Communication Questionnaire. Developmental and Behavioral Pediatrics, 27, 95–103.
Mash, E. J., & Hunsley, J. (2005). Evidence-based assessment of child and adolescent disorders: Issues and challenges. Journal of Clinical Child and Adolescent Psychology, 34, 362-379.
Norris, M., & Lecavalier, L. (2010). Screening accuracy of level 2 autism spectrum disorder rating scales: A review of selected instruments. Autism, 14, 263–284.
Rutter, M., Bailey, A., & Lord, C. (2003). Social Communication Questionnaire. Los Angeles: Western Psychological Services.
Wilkinson, L. A. (2010).  A best practice guide to assessment and intervention for autism and Asperger syndrome in schools. London and Philadelphia: Jessica Kingsley Publishers.
Wilkinson, L. A. (2011). Identifying students with autism spectrum disorders: A review of selected screening tools. Communiqué, 40, pp. 1, 31-33.

Wilkinson, L. A. (2017).  A best practice guide to assessment and intervention for autism spectrum disorder in schools (2nd Edition). London and Philadelphia: Jessica Kingsley Publishers.

Lee A. Wilkinson, PhD, is a licensed and nationally certified school psychologist, and certified cognitive-behavioral therapist. He is author of the award-winning book, A Best Practice Guide to Assessment and Intervention for Autism and Asperger Syndrome in Schools, published by Jessica Kingsley Publishers. He is also editor of a text in the APA School Psychology Book Series, Autism Spectrum Disorder in Children and Adolescents: Evidence-Based Assessment and Intervention in Schools, and author of the book, Overcoming Anxiety and Depression on the Autism Spectrum: A Self-Help Guide Using CBT. His latest book is A Best Practice Guide to Assessment and Intervention for Autism Spectrum Disorder in Schools (2nd Edition).
© Lee A. Wilkinson, PhD

Tuesday, November 1, 2016

Inclusive Education for Students with Autism


Inclusive Education for Autistic Students 

The Individuals with Disabilities Education Improvement Act of 2004 (IDEA) (P.L. 108-446) (http://idea.ed.gov/) guarantees a free and appropriate public education (FAPE) in the least restrictive environment (LRE) for every student with a disability. The LRE provision mandates that “to the maximum extent appropriate, children with disabilities, including children in public or private institutions or other care facilities, are educated with children who are not disabled, and special classes, separate schooling, or other removal of children with disabilities from the regular educational environment occurs only when the nature or severity of the disability of a child is such that education in regular classes with the use of supplementary aids and services cannot be achieved satisfactorily.”  In general, inclusion (or inclusive education) with typical peers is considered to be the best placement option for students with disabilities. It should also be noted that while the least restrictive environment (LRE) provision of IDEA requires that efforts be made to educate students with special needs in less restrictive settings, IDEA also recognizes that some students may require a more comprehensive program and intensive level of service.

Research

Child characteristics such as severity of autism symptoms are thought to determine educational placement. However, where a child lives may significantly impact whether they are placed in an inclusive or segregated classroom, a national analysis suggests. The study published online in the journal Focus on Autism and Other Developmental Disabilities examined external factors, including state of residence and state funding formulas, to determine their potential influence on placement outcomes. On average, about 37 percent of students identified with autism spectrum disorder (ASD) spent at least 80 percent of their school day in inclusive environments. But the numbers varied considerably from one state to the next, ranging from just 8 percent in Washington, D.C. to 62 percent in Iowa. 

There was considerable variation among states in placing students with autism in inclusive, mainstreaming, self-contained, and separate schools. Specifically, states varied substantially in the percentage of students with autism educated in each setting, with some states consistently favoring inclusion (Colorado, Connecticut, Idaho, Iowa, Minnesota, Nebraska, North Dakota, West Virginia, and Wisconsin). Other states, however, generally leaned toward more restrictive settings (Alaska, Delaware, Florida, Hawaii, Louisiana, New Hampshire, New Jersey, New York, South Carolina, and Washington, D.C.). States in the Eastern United States tended to have more restrictive placement rates than states in the Western United States. State special education funding was found to have a minimal impact on placement outcomes.
These findings suggest that factors that are external to child characteristics (e.g., severity of ASD symptoms) influence educational placement decisions for students with ASD. “If child-specific factors were solely responsible for education placement decisions, one would expect states to have similar rates of inclusive, self-contained, mainstreaming and separate school placements for students with ASDs,” the author commented. “Instead, … results indicate that educational placement varies by state.” 

Implications

Overall, it is unlikely that child characteristics alone determine placement outcomes. Although school districts should make every effort to place students in integrated settings to maximize interaction with typical peers, analysis of the public data presented in this study suggests that many states are still falling short of including autistic students in general education settings for significant portions of the day. Inclusion with typically developing students is important for a child with autism as peers provide the best models for language and social skills. However, inclusive education alone is insufficient, evidence-based intervention and training is also necessary to address specific classroom challenges. The argument must shift from should we include autistic students in general education to understanding how to include them successfully. It is critical to identify how practices that benefit students with autism, including structure (visual, communication, and social supports), positive behavior supports, and systematic instruction, can be implemented effectively in general education settings. 
Jennifer A. Kurth,  Educational Placement of Students With Autism: The Impact of State of Residence, Focus on Autism and Other Developmental Disabilities, first published on September 3, 2014 doi:10.1177/1088357614547891.
Lee A. Wilkinson, PhD, is a licensed and nationally certified school psychologist, and certified cognitive-behavioral therapist. He is author of the award-winning books,  A Best Practice Guide to Assessment and Intervention for Autism and Asperger Syndrome in Schools and Overcoming Anxiety and Depression on the Autism Spectrum: A Self-Help Guide Using CBTHe is also editor of a text in the APA School Psychology Book Series, Autism Spectrum Disorder in Children and Adolescents: Evidence-Based Assessment and Intervention in Schools. His latest book is A Best Practice Guide to Assessment and Intervention for Autism Spectrum Disorder in Schools (2nd Edition).

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