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Further Evaluation of Teaching Behavior Technicians to Input Data and Graph Using GraphPad Prism.

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  • 1University of Nebraska Medical Center's Munroe-Meyer Institute.

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|November 27, 2020
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Summary
This summary is machine-generated.

Video models effectively teach data input and graphing skills in GraphPad Prism for behavior technicians. These skills generalize to combined tasks and maintain accuracy without continuous training.

Keywords:
GraphPad Prismdata inputgraphingstaff trainingvideo modeling

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Area of Science:

  • Behavioral science
  • Educational technology
  • Data visualization

Background:

  • GraphPad Prism is essential for creating graphs from single-case design data.
  • Previous research (Mitteer et al., 2018) explored video modeling for skill acquisition.
  • Behavior technicians require proficiency in data input and graphing for accurate data representation.

Purpose of the Study:

  • To replicate and extend previous findings on video modeling for GraphPad Prism skills.
  • To assess the effectiveness of video models for teaching data input and graphing.
  • To evaluate the generalization of these skills to combined data input and graphing tasks.

Main Methods:

  • A concurrent multiple-probe-across-behavior design was employed.
  • Two behavior technicians participated in the study.
  • Skills were assessed individually and in combined sessions, with and without video model access.

Main Results:

  • Video models led to mastery of individual data input and graphing skills.
  • Training effects generalized to combined data input and graphing sessions.
  • High levels of accuracy were maintained without ongoing access to training materials.

Conclusions:

  • Both data input and graphing video models are recommended before depicting single-case design data in Prism.
  • Learned skills demonstrate maintenance of accuracy, suggesting efficient training.
  • Video modeling offers a viable and effective method for skill acquisition in data visualization software.