PLAY PODCASTS
Episode 61 - Discontinuous Data Sampling w/ Dr. Mary-Katherine Carey
Episode 61

Episode 61 - Discontinuous Data Sampling w/ Dr. Mary-Katherine Carey

ABA Inside Track · ABA Inside Track

August 8, 20181h 17m

Audio is streamed directly from the publisher (traffic.libsyn.com) as published in their RSS feed. Play Podcasts does not host this file. Rights-holders can request removal through the copyright & takedown page.

Show Notes

STOP! Before you start using that discontinuous data sampling system in your program, listen to special guest, Dr. Mary-Katherine Carey, join us for a discussion of its pros and cons. We'll review previous and recent research to determine whether discontinuous data systems really do save a lot of time, whether sampling data can ruin student programming, and whether you can get a scientific study done in a month. Don't worry: We find some time to act all silly and go off on irrelevant tangents too.

Articles discussed this episode:

Cummings, A.R. & Carr, J.E. (2009). Evaluating progress in behavioral programs for children with autism spectrum disorders via continuous and discontinuous measurement. Journal of Applied Behavior Analysis, 42, 52-71. doi: 10.1901/jaba.2009.42-57

Carey, M.K. & Bourret, J.C. (2014). Effects of data sampling on graphical depictions of learning. Journal of Applied Behavior Analysis, 47, 749-764. doi: 10.1002/jaba.153

If you're interested in ordering CEs for listening to this episode, click here to go to the store page. You'll need to enter your name, BCBA #, and the two episode secret code words to complete the purchase. Email us at [email protected] for further assistance.