Cognitive Mapping (CM) is a method specifically designed to study belief
systems as espoused by individuals or organisations and has several
advantages over other methods. The goal of cognitivemapr
is to reduce
the initial investment currently needed to start using the method. The
functions in the package allow you to conduct a CM analysis similar to
that conducted in the following publication: Van Esch, Femke A.W.J.,
Snellens, Jeroen F.A. (2024). ‘How to ’measure’ Ideas. Introducing the
method of cognitive mapping to the domain of ideational policy studies’.
Journal of European Public Policy, 31(2), 428-451.
https://doi.org/10.1080/13501763.2022.2155215
You can install the development version of cognitivemapr from GitHub with:
# install.packages("devtools")
devtools::install_github("Fesch-star/cognitivemapr")
Installing the package (above) will install the package dependencies:
knitr
readr
rmarkdown
testthat
dplyr
igraph
tibble
Running the functions in the cognitivemapr package requires your data to be compiled into an edge and nodelists.
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For an instruction on the formatting requirements, see the Preprocessing edge and nodelist tutorial. This tutorial also provides an explanation on how to use the three functions in the package that may help you reformat your data.
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For more information regarding the analytical functions in the package, please refer to the Tutorial on cognitivemapr analysis functions
We are very happy with any suggestions or contributions to improve the package. Read the contributing guidelines for instructions.
The cognitivemapr
package was created by Femke van Esch and Jelle
Treep with contributions of Neha Moopen and Jeroen Snellens.
This project is licensed under the terms of the GPL-3.0 License
Please cite this project as follows:
@software{van_Esch_cognitivemapr_Functions_for,
author = {van Esch, Femke and Treep, Jelle and Moopen, Neha and Snellens, Jeroen},
license = {GPL-3.0},
title = {{cognitivemapr: Functions for Cognitive Mapping Analysis}},
url = {https://github.com/Fesch-star/cognitivemapr}
}