Using Concurrent Operant Analysis to Individualize and Integrate Academic and Behavioral Supports
Concurrent operant analysis (COA) is an efficient and low-risk approach to assessing individuals’ preferences among various conditions, including instructional contexts in educational settings. Outcomes of COA can be used to design instructional conditions under which a student will choose to engage with tasks they historically avoided (Gardner et al., 2009; Mace et al., 1996; Romani et al., 2017). This presentation will include a brief overview of the COA literature but will focus primarily on practical applications, including initial hypothesis development, basic templates for analysis design, and designing classroom supports based on analysis outcomes. Participants will leave this presentation with an understanding of choice-based assessment that empowers them to quickly and efficiently assess and fine tune instructional procedures to support student engagement in the classroom.
- Identify hypotheses appropriate for testing using concurrent operant analysis
- Select an appropriate concurrent operant analysis approach for a given hypothesis
- Describe how outcomes of concurrent operant analysis may be used to inform classroom supports
- Presenter: Johanna Staubitz, Ph.D., BCBA-D
- Duration: 100min
- 2 Learning BACB CE Hours