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Evaluating an Excel-based tool for interpreting functional analyses: A functional analysis decision support system.

Amanda Preston1, Paul Szikszai1, Valdeep Saini2

  • 1Surrey Place, Toronto, Ontario, CA.

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|July 22, 2024
PubMed
Summary
This summary is machine-generated.

Structured visual inspection criteria improve behavior analysis, but can be slow. A new Microsoft Excel-based functional analysis decision support system (FADSS) aids real-time interpretation, increasing efficiency by 50% and achieving 95% agreement with expert review.

Keywords:
data analysisdecision support systemsfunctional analysisstructured visual inspectionvisual inspection

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Area of Science:

  • Behavior Analysis
  • Applied Behavior Analysis
  • Psychology

Background:

  • Structured visual inspection criteria enhance inter-rater reliability and function identification in behavior analysis.
  • Complex, multistep criteria can hinder real-time application and widespread adoption in clinical practice.

Purpose of the Study:

  • To evaluate a Microsoft-Excel-based functional analysis decision support system (FADSS) for real-time interpretation of functional analysis data.
  • To assess the efficiency and agreement of the FADSS compared to traditional visual inspection methods.

Main Methods:

  • Development and implementation of an Excel-based functional analysis decision support system (FADSS).
  • Comparison of FADSS-generated results with post hoc visual inspection and ongoing FADSS analysis.
  • Calculation of overall agreement percentages and efficiency gains.

Main Results:

  • High overall agreement (95%) between the FADSS and post hoc visual inspection.
  • Acceptable agreement (81%) between ongoing and post hoc FADSS results.
  • A 50% increase in efficiency was observed with the FADSS.

Conclusions:

  • The FADSS demonstrates potential as a valuable tool for behavior analysts.
  • This system can aid in the real-time interpretation of functional analysis results.
  • The FADSS may facilitate wider adoption of functional analysis in practice by improving efficiency.