What's tested on Domain G
- Differential reinforcement procedures: DRA, DRO, DRI, DRL
- Shaping (successive approximations) and chaining (forward, backward, total task)
- Prompting hierarchies and prompt fading: most-to-least, least-to-most, time delay, graduated guidance
- Token economies and conditioned reinforcement
- Modeling, behavioral skills training (BST), and behavioral momentum
- Function-based interventions and competing-contingencies analysis
- Antecedent interventions and reinforcement schedules selected to fit the function
Why this domain matters
Domain G is where assessment becomes treatment. A correctly identified function (Domain F) plus the right procedure (Domain G) is the heart of every behavior support plan you'll ever write. On the exam, expect scenario items where the right answer is the procedure that addresses the *function* of the behavior, not just its topography.
How to study Domain G for the BCBA exam
- Memorize the differential reinforcement variants and the function each is best suited to. DRA replaces with an alternative; DRO reinforces absence; DRI reinforces an incompatible response; DRL reinforces low rates.
- Know the chaining variants and when each is preferred. Backward chaining provides immediate reinforcement after the last step; total task is best for learners who can complete most steps independently.
- Distinguish errorless teaching (e.g., most-to-least prompting) from trial-and-error designs.
- Practice picking the procedure that matches the assessed function; that's the most common exam trap.
Frequently asked questions
How many BCBA exam questions are on behavior-change procedures?
Twenty-five questions out of 175, or 14% of the exam. Tied with Domain B as the largest content domain.
Which differential reinforcement procedure should I use?
It depends on the function and goal. DRA when you want to teach a functionally equivalent replacement. DRO when you want to reduce a behavior without reinforcing a specific alternative. DRI when an incompatible behavior is feasible. DRL when you want to reduce (but not eliminate) a behavior.