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

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.

Original languageEnglish (US)
Pages (from-to)301-322
Number of pages22
JournalJournal of Behavioral Education
Volume28
Issue number3
DOIs
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.

Keywords

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

Fingerprint

Dive into the research topics of 'Training Front-Line Employees to Conduct Visual Analysis Using a Clinical Decision-Making Model'. Together they form a unique fingerprint.

Cite this