Effective ABA practice requires data‑based decision making coupled with ethically sound clinical judgment. This presentation will provide practical instruction on “first-level” decision-analyses, or contingency‑shaped, data‑trend–driven responses and follow‑up. We will then dive into “second‑level” decision analyses that involve more complex, verbally mediated problem solving and generative thinking. Participants will explore how increasingly complex decision repertoires intersect with ethical considerations in practice and will engage in guided analysis of applied ethical scenarios. Emphasis will be placed on learning how to systematically think through ethical dilemmas using data, context, and professional standards.
Learning Objectives
- Engage in first‑level (data‑trend–based) data analysis
- Identify and develop repertoires towards second‑level (verbally mediated, generative) decision analyses
- Analyze ethical scenarios by integrating data‑based decision making, contextual variables, and ethical principles.
About the Presenter
This training was very informative! I really liked the "Three Data Path Rule" (and Five Data Path Rule). It will be a great tool to use when training supervisors.
Great information provided by this course. I would love a discussion based one where we could bring up and discuss ethical decision making with real life scenarios that viewers are dealing with.
Course information
- Title: Ethical Decision‑Making in Behavior Analysis: Contingency‑Shaped to Generative
- Presenter: Noor Syed Ph.D., BCBA-D
- CEUs: 2 Learning - Ethics
- Duration: 1 hour and 40 minutes
- Customer Rating: (35)
