Matt Harrington

This post is for BCBAs, supervisors, senior RBTs, and clinicians who want to accurately identify unconditioned, conditioned, and generalized reinforcers in practice. It translates reinforcer data into clear, ethical treatment decisions that affect speed, maintenance, and generalization. You’ll get a practical framework for classification, verifying conditioning through behavior, and building robust, scalable reinforcement plans.

Designed for practicing BCBAs, clinic owners, senior RBTs, supervisors, and clinically informed caregivers, this post helps you turn ABA data on reinforcement schedules into clear, ethical decisions. It breaks down the five simple schedules (CRF, FR, VR, FI, VI), what each schedule does to behavior, and how to thin reinforcement responsibly. A practical decision guide and data-driven checkpoints support choosing the right schedule for learning, maintenance, and real-world independence while upholding learner welfare.

Stimulus generalization and response generalization can be easy to confuse, but they require different planning and measurement. This post helps BCBAs, clinic owners, senior RBTs, and supervisors distinguish the two and apply the distinctions using ABA data. It emphasizes ethical, data-driven decision making to ensure skills transfer across settings, people, and response topographies.

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.

Designed for BCBAs, clinic owners, senior RBTs, supervisors, and caregivers, this post helps you turn ABA data into clear, ethical decisions about verbal behavior. It explains how to identify the function of the five core operants—mand, tact, echoic, intraverbal, and textual—so assessment, goal setting, and intervention are driven by function, not form. By tracing antecedents and consequences, you’ll make practical, ethically sound choices that improve communication outcomes for learners.

Designed for BCBA, RBT, and other ABA clinicians, this post clarifies what motivating operations (MOs) are and how to distinguish them from discriminative stimuli and reinforcers. It provides practical guidance to spot MOs in real cases and to use MO analysis for ethical, data-driven decisions in FBAs and BIPs. By tying MO findings to measurable outcomes, you can turn ABA data into clear, ethical decisions that minimize coercion and support client welfare.

This post is written for BCBA professionals and clinicians working in ABA who need to distinguish motivating operations from stimulus control to improve assessment and planning. It translates data into clear, ethical decisions by showing how to determine whether behavior is driven by current reinforcer value (MO) or by learned cues (Sd/SΔ) and how to apply that insight in practice. You’ll find practical diagnostic questions, concise examples, and ethics-focused guidance to support least-restrictive, transparent interventions.

This post helps practicing BCBAs, clinic leaders, senior staff, and caregivers understand why some behaviors persist after reinforcement changes and others fade quickly. It shows how to translate reinforcement history and momentum data into practical, ethical decisions about planning transitions, fades, and generalization. It discusses when to use high-probability request sequences and differential reinforcement, and how to measure persistence to guide outcomes. Ethical guardrails, transparency with families, and a focus on client dignity and independence guide every recommendation.

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.