An analysis of interactive computer training on staff acquisition of MSWO preference assessment implementation
For BCBAs, supervisors, and trainers who rely on MSWO preference assessments, this post examines whether interactive computer training alone produces trustworthy staff performance. The study found ICT rarely achieved 90% mastery—brief role-plays, targeted corrective feedback, and modeling were usually needed to reach fidelity. Use these performance checks and data-driven training steps to ethically ensure MSWO results are valid before using them to guide client treatment.
Functional analysis and treatment of repetitive verbal behavior in children diagnosed with autism spectrum disorder
For clinicians and school-based behavior analysts working with children with ASD, this post addresses repetitive verbal behavior that looks like a request but may actually be attention‑maintained. It describes brief functional analysis methods and a practical, dignity‑focused treatment package—teach a short attention FCR, answer the first query, then place repeats on scripted extinction with planned generalization and thinning. The goal is to turn ABA data into clear, ethical decisions that reduce repetitive speech without shutting down communication.
What Most People Get Wrong About Data Collection & Analysis
This guide is for practicing BCBAs, clinic directors, supervisors, and supervising clinicians. It identifies common data collection and analysis mistakes, explains why they matter, and offers quick, practical fixes and ready-to-use templates you can implement this week. Focused on dignity-preserving measurement, it helps teams turn cleaner ABA data into clearer, ethically grounded clinical decisions.
When to Rethink Your Approach to Data Collection & Analysis
A concise, clinician-focused guide for practicing BCBAs, clinic directors, supervisors, and clinically engaged caregivers. It helps teams stop collecting data as a checkbox and instead choose measures that answer real clinical questions. Includes decision flows, checklists, IOA and privacy guidance, and ready-to-use templates to support ethical, actionable decisions. Emphasizes sustainable protocols so data reliably inform treatment choices while protecting learner dignity and privacy.
When to Rethink Your Approach to Data Visualization & Analytics
For BCBAs, supervisors, and clinic leaders. This practical guide helps you turn ABA data into clear, ethical clinical decisions by choosing the right charts, adding context and annotations, and designing focused dashboards. It includes checklists, templates, and privacy guidance to support safer, faster decision-making without replacing clinician judgment.
What Most People Get Wrong About Data Visualization & Analytics
This guide is for BCBAs, clinic owners, and supervisors who share ABA data with families and teams. It identifies the most common data-visualization and analytics mistakes and offers practical, ethical fixes to make charts clear decision tools. By using a simple pre-share checklist and audience-focused visuals, you’ll turn ABA data into transparent, ethical decisions that protect privacy and support trusted care.
How to Know If ABA Software & Tools Is Actually Working
Designed for BCBAs, RBTs, and clinic admins, this post helps you answer whether your ABA software is actually improving clinical work or just speeding up paperwork. It offers an ethics-first framework—baselines, data quality checks, and a simple Green/Yellow/Red scorecard—to translate ABA data into clearer, ethical clinical decisions. Practical tools include a baseline tracker, decision-audit prompts, a vendor-question list, and a concise scorecard to safeguard privacy, data integrity, and true clinical usefulness while reducing burnout.
C.1. Create operational definitions of behavior.
This post helps ABA clinicians, BCBA supervisors, and clinic teams create precise operational definitions that translate data into observable, measurable terms. It explains how to move beyond vague labels, establish onset/offset criteria, and strengthen interobserver agreement to support ethical, data-driven decisions. Practical templates and examples empower teams to turn ABA data into clear, defensible decisions that protect clients.
F.1. Identify relevant sources of information in records at the outset of the case.
This piece is for ABA clinicians and intake staff seeking to start cases safely and efficiently. It explains how to identify and request relevant records early—medical, educational, prior ABA notes, incident reports—and how to review them to shape an informed assessment plan. It emphasizes turning ABA data from records into clear, ethical decisions—identifying safety concerns, avoiding duplicate testing, and aligning measurement with prior work—along with practical steps and common pitfalls.
F.6. Design and evaluate functional analyses.
This post is for clinicians, BCBA students, and behavior-support teams who design and implement ABA plans. It shows how to design and evaluate functional analyses to identify the function of problem behaviors and to create function-based, ethical interventions. You’ll learn about FA formats, reliable measurement, and common pitfalls so you can turn ABA data into clear, practical decisions that protect client dignity and improve outcomes.