Submissions for acceptance in this category will be evaluated based on relevance to the fields of autism assessment, intervention, staff training, basic conceptual understanding, and program design. Preference will be given to studies that include measures of inter-observer agreement for the dependent and independent variable, as well as data related to treatment fidelity.
- Case studies with supportive data: These proposals will examine the effect of an intervention on a single person or group.
- The proposal will include definitions of both dependent and independent variables.
- Experimental control does NOT need to be demonstrated. The use of an AB design will be explicitly stated.
- Baseline measurements of dependent variables are required for all submissions.
- Preference will be given to proposals that include IOA and treatment integrity data.
- If study involves problem behavior reduction, Functional analysis, or at a minimum FBA data, required.
- Submitted case studies must describe actual practices to be considered for acceptance.
- This category does not include data derived primarily from verbal reports. Direct measures must be included for consideration.
- Data will be included and presented in a form that allows visual analysis. Posters should include graphs and charts allowing a fairly efficient analysis of the data.