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

IMPORTANT NOTICE: To earn CEUs for listening, you MUST sign up and listen to this episode on our website to get credit. To listen for the fun of learning? Just push play! Email us at [email protected] for further assistance. 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