Abstract
Behavior analysts visually analyze graphs to interpret data in order to make data-based decisions. Though front-line employees implement behavioral interventions on a daily basis, they are not often trained to interpret these data. A clinical decision-making model may aid front-line employees in learning how to interpret graphs. A multiple-baseline-across-participants design was used to evaluate the effectiveness of a clinical decision-making model on the percentage of correct responses when interpreting line graphs. All of the participants increased their percentage of correct responses after the introduction of the clinical decision-making model. Two of the eight participants required additional feedback. The implications of these findings are discussed.
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The authors thank the Early Learning Institute for its support in conducting this study.
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This project was completed in partial fulfillment of a Masters in Applied Behavior Analysis Degree by the first author, under the supervision of the second author.
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Kipfmiller, K.J., Brodhead, M.T., Wolfe, K. et al. Training Front-Line Employees to Conduct Visual Analysis Using a Clinical Decision-Making Model. J Behav Educ 28, 301–322 (2019). https://doi.org/10.1007/s10864-018-09318-1
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DOI: https://doi.org/10.1007/s10864-018-09318-1