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R-CMap-An open-source software for concept mapping.

Haim Bar1, Lucas Mentch2

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Summary
This summary is machine-generated.

This study introduces R-CMap, a user-friendly, open-source software for concept mapping. It aids project planning and evaluation by visually organizing stakeholder ideas and identifying demographic preferences.

Keywords:
Concept mappingOpen-sourceThe R programming language

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Area of Science:

  • Social Sciences
  • Computer Science
  • Data Visualization

Background:

  • Project planning and evaluation require synthesizing diverse stakeholder input, which is challenging, especially with large or remote groups.
  • Graphical tools for brainstorming, like concept mapping, offer a quantitative framework for organizing ideas into interpretable graphs.
  • Existing methods may not adequately address the need for anonymous contributions or detailed subgroup analysis.

Purpose of the Study:

  • To introduce R-CMap, a novel, open-source software tool implemented in R for concept mapping.
  • To provide a user-friendly graphical interface for the concept mapping analytical process.
  • To enable the generation of diverse visualizations and statistical reports for project evaluation.

Main Methods:

  • Development of R-CMap, an open-source software in R with a graphical user interface.
  • Implementation of various plotting functions: cluster maps, rating maps, pattern matching, and go-zone plots.
  • Inclusion of features for defining clusters, selecting variables, and filtering respondents by demographics.

Main Results:

  • R-CMap facilitates the creation of visually informative concept maps and detailed statistical reports.
  • The software allows for the identification of distinct preference patterns across different demographic subpopulations.
  • Generated plots and reports are embeddable in Microsoft Office tools for presentations and official documentation.

Conclusions:

  • R-CMap offers a powerful yet accessible solution for collaborative project planning and evaluation.
  • The software enhances the ability to quantitatively analyze and visualize complex stakeholder data.
  • Its user-friendly interface and advanced features support both novice and experienced users in concept mapping endeavors.