# Episode 11 - Hours

Page: https://stenobird.com/podcast/aba-beyond-the-data-7489435/episode-11-hours
Text version: https://stenobird.com/podcast/aba-beyond-the-data-7489435/episode-11-hours.md
Podcast: [ABA Beyond the Data](https://stenobird.com/podcast/aba-beyond-the-data-7489435)
Published: 2026-01-27T07:01:00+00:00
Episode link: https://podcasters.spotify.com/pod/show/aba-beyond-the-data/episodes/Episode-11---Hours-e3e834f
Audio file: https://anchor.fm/s/109560810/podcast/play/114608719/https%3A%2F%2Fd3ctxlq1ktw2nl.cloudfront.net%2Fstaging%2F2026-3-7%2F80cb6275-69ad-dbf7-0d63-62710d463aca.mp3
Processing state: not_requested
JSON: https://stenobird.com/v1/public/podcasts/aba-beyond-the-data-7489435/episodes/episode-11-hours
Duration seconds: 4363

## Resource

How to Purchase CEUs Go to ⁠⁠⁠⁠⁠⁠https://www.aba-ceus.com/get-ceus⁠⁠⁠⁠⁠⁠ Select the CEU episode you’d like to purchase and add it to your cart. At checkout, Answer 5 Multiple Choice Questions. Complete your purchase through our secure checkout. Your CEU certificate will be emailed to you within 24–48 hours. Each submission is individually reviewed and verified, so please allow time for processing and approval. If you have any questions, feel free to reach out to us anytime. 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:

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## Transcript

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