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.
C.3. Measure occurrence.
Designed for BCBAs, clinic directors, and supervisors, this concise guide clarifies when occurrence measurement is the right tool in ABA data collection and how to implement it reliably. It covers defining start/stop criteria, converting counts to rate or percentage, and knowing when duration or interval methods are more appropriate—so your data answer the clinical question, not just fill a form. With practical scenarios and emphasis on interobserver agreement and ethics, it helps you turn ABA data into clear, ethical, data‑driven decisions for client care.
C.9. Select a measurement procedure to obtain representative data that accounts for the critical dimension of the behavior and environmental constraints.
Designed for practicing BCBAs, clinicians, and classroom staff using ABA. This post guides you in choosing measurement procedures that match the critical dimension of behavior and the setting, so data lead to clear, ethical decisions about when to adjust, continue, or stop treatment. It covers continuous vs. discontinuous methods, permanent product, representativeness, and reliability, all with an ethics-first approach.
C.6. Design and apply discontinuous measurement procedures (e.g., interval recording, time sampling).
This guide is written for BCBAs, clinic directors, and senior RBTs in classrooms or clinics where one-on-one observation isn’t realistic. Learn how to design and apply discontinuous measurement procedures (interval recording, time sampling), choose appropriate interval lengths, and report results ethically so data guide decisions. The emphasis is on turning ABA data into clear, defensible choices while documenting methods, acknowledging limitations, and maintaining interobserver agreement.