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Updated: Feb 21, 2026

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Automating Phase Change Lines and Their Labels Using Microsoft Excel(R).

Neil Deochand1

  • 1Department of Psychology, Western Michigan University, 3700 Wood Hall, Kalamazoo, MI 49008 USA.

Behavior Analysis in Practice
|October 13, 2017
PubMed
Summary
This summary is machine-generated.

This study presents an automated method for adding phase change lines and labels to behavior analytic graphs, saving researchers time. The updated technique ensures graphical elements remain embedded when graphs are moved or updated.

Keywords:
Excel®GraphingPhase change linePhase labelSingle subject design

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Area of Science:

  • Behavior Analysis
  • Data Visualization

Background:

  • Graphical elements in behavior analysis, such as phase change lines, are often manually inserted, leading to inefficiencies.
  • Existing methods for avoiding or inserting graphical elements lack user-friendly solutions for automating phase labels.
  • Microsoft Excel® is widely used by behavior analysts, but graphing solutions are not always intuitive.

Purpose of the Study:

  • To provide an automated and user-friendly method for inserting phase change lines and their corresponding labels in behavior analytic graphs.
  • To offer updated techniques and templates to streamline the creation of graphical displays in behavior analysis.
  • To reduce the repetitive and time-consuming nature of manual graph element insertion.

Main Methods:

  • Development of an updated procedure for embedding phase change lines and labels within graphical displays.
  • Creation of supplemental templates to facilitate the implementation of the proposed method.
  • Utilizing Microsoft Excel® for the automation of graphical elements in behavior analytic research.

Main Results:

  • The proposed method automates the insertion of phase change lines and labels, reducing manual effort.
  • Graphical elements remain embedded to the graph, ensuring consistency when graphs are moved or updated.
  • The technique offers substantial time-savings for researchers in the field.

Conclusions:

  • The developed method provides an efficient and automated solution for a common graphing challenge in behavior analysis.
  • The updated approach enhances the user-friendliness of creating behavior analytic graphs, particularly within Microsoft Excel®.
  • This work contributes to optimizing data visualization practices in behavior analysis, saving valuable researcher time.