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.
A.3. Explain behavior from the perspective of radical behaviorism.
Designed for BCBAs, clinicians in ABA, and students, this post clarifies radical behaviorism and how private events fit into the science of behavior. It shows how to include self-reports in functional analyses, measure them ethically, and identify the environmental contingencies that drive behavior. The focus is on turning ABA data into clear, ethical decisions that guide assessment, intervention, and communication with clients and families.
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.
A.4. Distinguish among behaviorism, the experimental analysis of behavior, applied behavior analysis, and professional practice guided by the science of behavior analysis.
Targeted at BCBAs, clinic directors, senior RBTs, and caregivers learning ABA, this article clarifies the distinctions among Behaviorism, Experimental Analysis of Behavior, Applied Behavior Analysis, and professional practice. It explains how to translate lab findings into real-world, data-driven decisions within ethical and credentialed boundaries. By focusing on measurable progress and clear labeling, it helps you communicate with families, protect clients, and make sound, ethical decisions grounded in your data.
A.2. Explain the philosophical assumptions underlying the science of behavior analysis (e.g., selectionism, determinism, empiricism, parsimony, pragmatism).
Designed for practicing BCBAs, clinic leaders, and supervisors, this post explains the five core philosophical assumptions of behavior analysis: determinism, empiricism, parsimony, pragmatism, and selectionism. It shows how these beliefs guide what we measure, how we interpret data, and which interventions we try first—always through an ethical, least-restrictive lens. By linking philosophy to daily clinical decisions, it helps turn ABA data into clear, defendable choices that protect clients.
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.