Matt Harrington

Designed for BCBA candidates, practicing clinicians, and graduate students, this post clarifies how to distinguish among reversal, multiple-baseline, multielement, and changing-criterion designs. It explains what each design demonstrates about experimental control, when to use it, and how to avoid common pitfalls that threaten ethics or validity. The focus is on turning ABA data into clear, ethical decisions about intervention effects for real clients.

Designed for practicing BCBAs, clinic directors, and supervisors, this post clarifies trial-based and free-operant procedures for measuring and teaching in ABA. It helps you choose between approaches, design ethical data collection, and turn data into clear decisions about progress, generalization, and maintenance. With a focus on precise definitions and IOA, it supports practical, dignity‑respecting decision making rather than hype.

This post is for BCBA clinicians, supervisors, and practitioners who design and supervise reinforcement programs in ABA. It shows how to turn ABA data from reinforcer assessments into clear, ethical decisions—identifying valued backups, pairing neutral stimuli, testing effectiveness, and sustaining conditioned reinforcers. It provides practical steps and guardrails for implementing token economies and similar generalized reinforcers in real settings, with emphasis on fading toward natural reinforcement and thorough documentation.

This post is for practicing BCBAs, clinic owners, supervisors, and clinicians who need to distinguish automatic from socially mediated contingencies. It offers practical observation methods, ABC data interpretation, and functional-analysis considerations to identify function and guide appropriate, least-intrusive interventions. The focus is on turning ABA data into clear, ethical decisions that tailor treatment to the true reinforcement maintaining the behavior.

Designed for clinicians, supervisors, and caregivers in ABA, this post clarifies operant versus respondent extinction—distinguishing the procedures you implement from the behavioral changes they produce. It shows how to measure progress with daily data, choose the appropriate extinction type, and uphold ethical safeguards, including replacement skills. The goal is to turn ABA data into clear, ethical decisions that protect learner welfare and guide practical intervention.

This post is for behavior analysts, clinicians, and educators applying ABA to verbal behavior. It explains convergent and divergent multiple control and shows how to test MO, SD, and prompts to distinguish true control from prompting, improving assessment validity and generalization. It guides turning ABA data into clear, ethical decisions about prompting, fading, and expanding a flexible, communicative repertoire that respects the learner’s intent.

This post is for practicing BCBAs, clinic leaders, senior therapists, and caregivers who want to translate ABA data into real-world, ethical decisions about stimulus control. It explains what stimulus discrimination is, how to identify SD versus SΔ in your data, and when to pursue discrimination versus generalization in teaching. It emphasizes ethical consideration and offers practical steps to design interventions that transfer control to natural cues while avoiding overly narrow stimulus control.

Designed for BCBAs, RBTs, clinic leaders, and caregivers, this post clarifies positive versus negative punishment and why correct labeling matters for ethical, effective ABA. It shows how to translate practice data into clear, defensible decisions—centered on function, consent, monitoring, and fading. It also emphasizes using less restrictive alternatives and pairing any punishment with teaching and data-driven review.

This post is for BCBAs, clinic directors, supervisors, and caregivers who want to reduce measurement errors and ineffective interventions by clearly distinguishing behavior, response, and response class. It explains each unit, why the distinction matters for assessment and data interpretation, and how to design function-based, ethically sound interventions. By focusing on function over form, you’ll translate ABA data into clear, least-intrusive decisions that address the learner’s underlying needs.