Training Front-Line Employees to Conduct Visual Analysis Using a Clinical Decision-Making Model

Kailie J. Kipfmiller, Matthew T. Brodhead, Katie Wolfe, Kate LaLonde, Emma S. Sipila, M. Y.Savana Bak, Marisa H. Fisher

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)301-322
Number of pages22
JournalJournal of Behavioral Education
Issue number3
StatePublished - Sep 1 2019
Externally publishedYes

Bibliographical note

Funding Information:
The authors thank the Early Learning Institute for its support in conducting this study.

Publisher Copyright:
© 2019, Springer Science+Business Media, LLC, part of Springer Nature.


  • Clinical decision-making model
  • Employee training
  • Visual analysis


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