ABA Beyond the Data · Jan 27, 2026 · 1:12:43
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Summary:
Most BCBAs have written “40 hours” in a treatment plan—yet many can’t clearly explain where that number came from or how to prescribe hours in a defensible way. In this episode of ABA Beyond the Data, we trace the origins of intensive ABA back to the Lovaas era, then walk through key replications and meta-analyses showing why treatment intensity often matters for outcomes. We then unpack what CASP and the evidence base actually define as “hours,” what counts (and what doesn’t), and how to match intensity to scope, risk, and learning opportunity needs. Finally, you’ll get a practical framework for calculating hours that protects families, clinicians, and access to care.
Let:
T = total targets
A = average trials to criterion per target (for this client)
W = weeks in the authorization period (typically 26)
P = estimated trials you can run per hour (based on client/staff performance)
Hours/week = (T × A) / (W × P)
Sources: