Project Activities
In Year 1 of this project, researchers planned to conduct focus groups with stakeholders and obtain feedback from experts in the field to refine the initial modules and develop the complete and comprehensive Students with Autism Accessing General Education (SAAGE) intervention as well as all required implementation materials. In Year 2, the project planned for feasibility testing and the assessment of parent and teacher satisfaction with the intervention, comprising the last stages of refining the model and finalizing implementation measures. In Year 3, researchers proposed to conduct a pilot study to assess the promise of the intervention using a randomized controlled trial.
Structured Abstract
Setting
This research project will be conducted in elementary schools in New York, North Carolina, and Florida.
Sample
The sample for assessing feasibility and satisfaction of the intervention will consist of three to five students with ASD and ID, along with their intervention teams (approximately two educators per student) and the students' parents at each of the three sites. The pilot study will be conducted with 12 schools and include a sample of approximately 24 students with ASD and ID and 48 teachers.
SAAGE includes professional development on identifying goals for individual students, selecting appropriate practices and teaching strategies, systematically monitoring student progress, and adjusting and tailoring strategies as student skills develop. SAAGE uses practice-based coaching and fosters collaborative school teams to build both school and individual capacity in the support of students with ASD and ID in elementary schools. Coaches assigned to each school help identify the SAAGE teams and guide them through modules focused on the core features of ASD and ID and the evidence-based practices emphasized by SAAGE. The SAAGE team is responsible for identifying students, reviewing student goals, ensuring each student is meeting social and academic goals, and monitoring progress for each student. The team ensures that students who are not making adequate progress receive additional day-to-day support.
Research design and methods
In Year 1, researchers will develop and refine the SAAGE intervention using feedback received from expert review and focus groups with stakeholders. In Year 2, researchers will implement the intervention with approximately 9–15 students and 18–30 teachers to collect feasibility and acceptability data. In Year 3, researchers will conduct a small cluster randomized controlled trial in 12 schools with approximately 24 students with ASD and ID and 48 teachers from those schools.
Control condition
Schools in the control condition will be considered an enhanced services-as-usual group because they will receive the intervention manual for reference and in-service training on the topic of ASD, but no other services or intervention supports.
Key measures
Eligibility for participation in the pilot will require a diagnosis by an expert in ASD and ID as well as results from the following: Autism Diagnostic Observation Schedule, the Stanford-Binet Intelligence Scale—5th Edition, and the General Adaptive Composite on the Adaptive Behavior Assessment System—2nd Edition. Researchers will use fidelity checklists and The Usage Rating Profile to examine usability, feasibility, social validity, and sustainability of the intervention. Costs associated with the intervention will be measured using the Cost Inventory for School-Based Mental Health Services. Distal student outcomes will be measured using the Developmental Disability—Clinical Global Assessment Scale, Social Skills Improvement System, Children's Yale-Brown Obsessive-Compulsive Scales, Academic Engaged Time, Self-Directed Scale, and the amount of time students spend in general education.
Data analytic strategy
Qualitative data analysis techniques will be used in Year 1 for focus group and expert feedback. Descriptive analyses of fidelity and implementation will be conducted in Years 2 and 3 and compared across years. Exploratory analyses will be conducted to examine trends in student performance using a linear mixed model to account for repeated measures and the nested structure of these data. Linear mixed models for repeated measures will be fit to assess the overall effect of the intervention on distal student outcomes.
People and institutions involved
IES program contact(s)
Project contributors
Products and publications
ERIC Citations: Find available citations in ERIC for this award here.
Questions about this project?
To answer additional questions about this project or provide feedback, please contact the program officer.
