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A mobile computing solution for collecting functional analysis data on a Pocket PC.

James Jackson1, Mark R Dixon

  • 1Southern Illinois University, Carbondale 62901, USA.

Journal of Applied Behavior Analysis
|July 13, 2007
PubMed
Summary
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Behavior analysts can create custom functional analysis data systems using Pocket PC and Visual Basic software. This guide details programming a system for flexible data collection, graphing, and analysis tailored to specific research needs.

Area of Science:

  • Behavioral Science and Applied Behavior Analysis
  • Computer Science and Software Development
  • Human-Computer Interaction

Background:

  • Traditional data collection methods can be time-consuming and inflexible.
  • The need for customizable digital tools in behavioral research is growing.
  • Existing software may not meet the specific needs of functional analysis.

Purpose of the Study:

  • To provide a task analysis for developing a computerized functional analysis data system.
  • To enable behavior analysts to program their own data collection tools.
  • To offer customization options for unique research and clinical applications.

Main Methods:

  • Utilizing Microsoft Visual Basic software for programming.
  • Leveraging Pocket PC devices with the Windows Mobile operating system.

Related Experiment Videos

  • Developing a system with selectable behavior types, data collection methods (interval, frequency), and data summarization features.

    • Main Results:

    • A detailed task analysis for creating a functional analysis data system is presented.
    • The system allows for user-defined behavior selection and data recording methods.
    • The program facilitates data summarization for graphing and analysis.

    Conclusions:

    • Behavior analysts can program custom functional analysis data systems using readily available software and hardware.
    • The described system offers flexibility for diverse research and clinical data collection needs.
    • This approach enhances the efficiency and adaptability of data management in behavior analysis.