Episode 61 - Discontinuous Data Sampling w/ Dr. Mary-Katherine Carey
Episode 61 - Discontinuous Data Sampling w/ Dr. Mary-Katherine Carey
This episode is worth 1.0 LEARNING CEU
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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
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