In this study, the experimenter trained three teachers to implement data decision rules to detect when instructional changes should be made during the visual analysis of discrete-trial percentage graphs. The experimenter used a concurrent, multiple-baseline design across participants. The experimenter trained the teachers to follow decision-making rules using instruction, modeling, rehearsal, and feedback. Following intervention, participants increased the percentage of correct data-based decisions and decreased the percentage of errors.
Behavior Analysis in Practice – Springer Journals
Published: Aug 30, 2017
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