Matt Harrington

A.5. Identify and describe dimensions of applied behavior analysis.-

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.5. Identify and describe dimensions of applied behavior analysis. Read More »

A.4. Distinguish among behaviorism, the experimental analysis of behavior, applied behavior analysis, and professional practice guided by the science of behavior analysis.-

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.4. Distinguish among behaviorism, the experimental analysis of behavior, applied behavior analysis, and professional practice guided by the science of behavior analysis. Read More »

A.2. Explain the philosophical assumptions underlying the science of behavior analysis (e.g., selectionism, determinism, empiricism, parsimony, pragmatism).-

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.2. Explain the philosophical assumptions underlying the science of behavior analysis (e.g., selectionism, determinism, empiricism, parsimony, pragmatism). Read More »

A.1. Identify the goals of behavior analysis as a science (i.e., description, prediction, control).-

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.

A.1. Identify the goals of behavior analysis as a science (i.e., description, prediction, control). Read More »

How to Know If Financial Health & KPIs Is Actually Working- financial health & kpis effectiveness

How to Know If Financial Health & KPIs Is Actually Working

Designed for ABA clinic leaders, practice managers, and finance leads who want to know if their financial health KPIs are actually guiding decisions. It outlines KPI categories (profitability, liquidity, solvency, efficiency), surfaces a core essentials list, and introduces a practical KPI effectiveness framework you can apply to day-to-day management. Built for an ethical, clinician-friendly use of ABA data, it provides a practical path to turn ABA data into clear, ethical decisions that support quality care.

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What Most People Get Wrong About Assent‑Based & Modern ABA Practice- assent‑based & modern aba practice mistakes

What Most People Get Wrong About Assent‑Based & Modern ABA Practice

Designed for BCBAs, RBTs, and families navigating assent-based and modern ABA practice, this post clarifies what assent really means and how it differs from outdated compliance models. It debunks common myths—such as assent equating to no demands or modern ABA lacking evidence—and provides practical, data-driven guidance. You’ll find a mistake-by-mistake checklist with real-world scripts, a clear assent withdrawal protocol, and an ethics-forward rationale focused on dignity, autonomy, and safety. The goal is to help you turn ABA data into clear, ethical treatment decisions that maintain effectiveness.

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When to Rethink Your Approach to Task List Mastery- task list mastery best practices

When to Rethink Your Approach to Task List Mastery

This post is for BCBA students and practicing clinicians seeking to rethink overwhelmed task lists and regain clarity. It translates ABA data and exam content into practical, ethical steps—capture, clarify, prioritize, and review—with accessible frameworks like Top 3 and the Eisenhower Matrix. With a diagnostic flow and a quick 30-minute reset, it helps translate study and clinical tasks into clear, ethically sound actions.

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When to Rethink Your Approach to Caregiver Collaboration- caregiver collaboration best practices

When to Rethink Your Approach to Caregiver Collaboration

Designed for ABA clinicians, supervisors, and care teams working with families, this post presents caregiver collaboration best practices with practical, ethical guidance. It shows how to turn routine ABA data into concrete decisions about roles, communication, and shared care plans, reducing conflict and stress. It also identifies signals that collaboration needs a rethink and offers templates to support family meetings, role definitions, and privacy-conscious use of technology.

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How to Know If Tech Implementation & Change Management Is Actually Working- tech implementation & change management effectiveness

How to Know If Tech Implementation & Change Management Is Actually Working

Designed for ABA program leaders and clinicians overseeing technology rollouts, this post translates change-management theory into practical, measurable steps. It shows how to assess tech implementation effectiveness with adoption, training, and data-quality metrics while upholding client privacy and clinical ethics. Learn how to turn ABA data into clear, actionable decisions that guide ethical practice. It includes a simple scorecard and milestones to know if the rollout is actually working.

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Teaching nonarbitrary temporal relational responding in adolescents with autism

Teaching nonarbitrary temporal relational responding in adolescents with autism

This post reviews a study on teaching nonarbitrary temporal relations—“before” and “after”—to autistic adolescents with early verbal skills, including a telehealth protocol and MET (multiple exemplar training). It translates the data into practical, ethical ABA steps: baseline checks, varied exemplars, precise error correction, and clear mastery, maintenance, and generalization criteria. For clinicians, BCBA/SLPs, and educators, it offers a data‑driven framework to decide when and how to teach sequencing skills that matter in daily life, while preserving learner dignity.

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