Further evaluation of teaching behavior technicians to input data and graph using GraphPad Prism.
Author(s) -
Daniel R. Mitteer,
Brian Greer,
Kayla R. Randall,
Adam M. Briggs
Publication year - 2019
Publication title -
behavior analysis research and practice
Language(s) - English
Resource type - Journals
ISSN - 2372-9414
DOI - 10.1037/bar0000172
Subject(s) - generality , computer science , graph , machine learning , psychology , theoretical computer science , psychotherapist
We replicated and extended Mitteer, Greer, Fisher, and Cohrs (2018) by examining the effects of a video model on inputting data into GraphPad Prism, which is a necessary skill for graph construction. We used a concurrent multiple-probe-across-behavior design with two behavior technicians to assess data-input and graphing skills separately prior to and during access to relevant video models. We evaluated the generality of the training procedures by assessing both skills during data-input-plus-graphing sessions without access to the video models. The video models resulted in mastery of data-input and graphing skills when assessed individually. We observed training effects generalize to data-input-plus-graphing sessions once behavior technicians experienced all relevant video models. These results suggest that individuals should view both data-input and graphing video models prior to depicting single-case design data in Prism but that these skills can maintain at high levels of accuracy without continued access to the training materials.
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