Matt Harrington

This clinician-friendly guide helps BCBAs, RBT supervisors, clinic directors, and caregivers understand how to select and evaluate stimulus and response prompts. Learn to measure prompt effectiveness using independent versus prompted responses and fade supports ethically to build true learner independence. The post emphasizes turning ABA data into clear, ethical decisions that minimize prompt dependency and protect learner dignity across clinic, school, and home settings.

This post is for practicing BCBAs, clinic directors, senior RBTs, and clinically informed caregivers, and it addresses how to prevent and respond to relapse after progress in ABA. It shows how to embed a relapse mitigation plan into every behavior intervention plan before fading or discharge. Through data-driven, ethical steps—identifying high-risk contexts, maintenance strategies, BST-based training, and clear response rules—it helps you turn ABA data into clear, durable decisions that protect gains.

This post is for clinicians, BCBA students, and practice teams using ABA with children and adults, and it helps turn functional assessment data into practical, ethical intervention decisions. It guides you through four differential reinforcement types (DRA, DRI, DRO, DRL), with and without extinction, anchored in the identified function and real-world constraints. You’ll learn to define observable targets, select reinforcers and schedules, set data-driven decision rules, and anticipate extinction-related side effects—always with consent and least-restrictive practices in mind. Practical guardrails, common pitfalls, and scenario-based guidance help ensure plans are feasible, fidelity-focused, and respectful of client dignity.

This blog post is written for BCBAs, clinic directors, and senior supervisors responsible for designing ABA instruction. It walks you through the three main chaining methods—forward, backward, and total-task—and helps you decide when to use each, with step-by-step guidance on data collection and progress monitoring. It emphasizes turning ABA data into clear, ethical decisions about method choice and prompting, including consent, least-intrusive prompts, and prompt fading. By translating task analyses and step-level data into actionable decisions, you can implement chaining that promotes independence while respecting learner dignity.

This post is for BCBA practitioners and clinical supervisors who want to know whether an intervention caused a client’s behavioral change, not just coincidental trends. It guides you through designing, implementing, and interpreting single-case experimental designs ethically, with practical steps and real-world examples. By emphasizing replication, visual analysis, and predefined stopping rules, it helps you turn ABA data into clear, ethically grounded decisions about continuing, modifying, or stopping treatment.

For behavioral clinicians, supervisors, and program leaders, this post explains how to design and evaluate fixed-time and variable-time reinforcement schedules as ethical antecedent interventions. It guides using baseline data to set intervals, monitor satiation, and fade schedules while teaching replacement skills. The focus is turning ABA data into clear, data-driven decisions that reduce problem behavior and support independence and dignity.

This post is for BCBAs, clinic owners, senior RBTs, and supervisors in ABA who handle confidential client information. It outlines the four core duties—collecting, using, protecting, and disclosing—plus practical steps to turn ABA data into clear, ethical decisions. You’ll learn how to obtain informed consent, minimize data collection, enforce security, and respond correctly to subpoenas or emergencies while preserving trust and compliance.

This post is for ABA clinicians, supervisors, and clinic leaders who want to turn data into ethical, client-centered decisions through cultural humility. It explains what cultural humility is (and isn’t), contrasts it with cultural competence, and offers practical steps for intake, planning, documentation, and supervision. Rooted in BACB Ethics Standard E.9, it shows how to use data to honor family values, reduce bias, and improve engagement and outcomes.

Designed for practicing BCBAs, clinic owners, supervisors, and senior RBTs, this post identifies types of multiple relationships and the risks to client welfare. It offers practical mitigation steps—disclosure, informed consent, documentation, supervision, and referral—to manage overlaps ethically. It helps clinicians translate ABA data and professional judgment into clear, ethical decisions that protect clients and uphold professional integrity.

For BCBAs, behavior analysts, and clinicians using ABA data, this post clarifies how to separate internal validity (causality) from external validity (generalization). It offers practical guidance on when to rely on rigorous control versus replication across settings to inform ethical decisions. Learn how to turn data into clear, context-appropriate conclusions about whether an intervention worked here and whether it will work elsewhere.