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.
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.
C.11. Interpret graphed data.
This post is for BCBA, RBT, and clinic leaders who collect ABA data and need to translate it into clear, ethical treatment decisions. It walks you through interpreting graphed data using visual analysis, focusing on level, trend, variability, immediacy, and overlap to decide whether to continue, adjust, or suspend an intervention. The emphasis is practical and clinician-friendly: turn what you see on the page into decisions that protect progress and transparently communicate with families and teams.