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Comparing self-directed methods for training staff to create graphs using Graphpad Prism.

Sydney J Berkman1, Eileen M Roscoe1, Jason C Bourret1

  • 1New England Center for Children and Western New England University.

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Summary
This summary is machine-generated.

Enhanced written instructions (EWI) and video modeling with voiceover (VMVO) effectively trained behavior analysts to graph data using GraphPad Prism. More participants preferred EWI for learning this essential scientific skill.

Keywords:
GraphPad Prismself-instructionstaff trainingvideo modelingwritten instructions

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Area of Science:

  • Behavior Analysis
  • Scientific Communication
  • Data Visualization

Background:

  • Behavior analysts require proficiency in creating graphs for clear outcome communication and adherence to publication standards.
  • GraphPad Prism is a widely used software for scientific graphing, yet its training efficacy remains under-researched.
  • Enhanced Written Instructions (EWI) and Video Modeling with Voiceover (VMVO) are recognized effective training methods, but direct comparisons in single-subject studies are lacking.

Purpose of the Study:

  • To compare the efficacy and social validity of EWI versus VMVO for training staff in GraphPad Prism graphing.
  • To evaluate the effectiveness of these two training modalities in developing essential graphing skills for behavior analysts.

Main Methods:

  • A single-subject research design was utilized to assess individual performance.
  • Eleven graduate students participated in the study, receiving training via EWI and VMVO.
  • Data were collected to compare the effectiveness and participant preference for each training method.

Main Results:

  • Both EWI and VMVO proved effective in training participants to create graphs using GraphPad Prism.
  • A greater number of participants indicated a preference for the EWI method.
  • The study demonstrated the successful application of single-subject methodology to evaluate training efficacy.

Conclusions:

  • EWI and VMVO are viable methods for training behavior analysts in GraphPad Prism graphing.
  • Participant preference suggests EWI may be a more favored approach for learning this skill.
  • Further research can explore optimizing training methods for scientific graphing software.