B.23. Identify ways the matching law can be used to interpret response allocation.
Clear, clinician-friendly guide for behavior analysts, educators, and students applying ABA. It shows how the matching law explains response allocation across concurrent options, helping you interpret client choices and shift behavior through contingencies rather than punishment. It offers practical, ethical steps to turn data into decisions: measure allocation and reinforcement, compare proportions, and tailor reinforcement to support functional independence while safeguarding autonomy.
Radical Behaviorism Explained: Definition & Examples (BCBA)
What is radical behaviorism? Plain-English definition, examples, and how it differs from methodological behaviorism. Plus a mock question and free BCBA CEUs.
A.5. Identify and describe dimensions of applied behavior analysis.
Designed for BCBAs, clinic directors, and senior RBTs, this post explains the seven dimensions of ABA and how to apply them as a practical quality checklist. It shows how to turn ABA data into clear, ethical decisions about target selection, intervention design, and evaluation. You’ll learn to write replicable procedures, justify choices with behavioral principles, and plan for maintenance and generalization.
Behaviorism vs EAB vs ABA vs Practice: A.4 Explained
The 4 domains of behavior analysis — behaviorism, EAB, ABA, and professional practice — distinguished with examples for BCBA task list item A.4.
Philosophical Assumptions of Behavior Analysis (BCBA A.2)
Selectionism, determinism, empiricism, parsimony, pragmatism — the 5 philosophical assumptions of behavior analysis with examples and a study mnemonic.
A.1. Identify the goals of behavior analysis as a science (i.e., description, prediction, control).
This post is for practicing clinicians, clinic leaders, and senior supervisors—BCBAs, RBTs, and caregivers—who want to apply ABA data ethically. It clarifies the three goals of ABA—description, prediction, and control—and shows how to turn data into clear, testable decisions while upholding informed consent, least-restrictive practices, and social validity. By emphasizing objective description and data-driven interventions, it helps you move from observation to reliable action that respects client dignity and improves outcomes.