OpenRepGrid: 'OpenRepGrid': an R package for the analysis of repertory...

OpenRepGridR Documentation

OpenRepGrid: an R package for the analysis of repertory grids.

Description

logo The OpenRepGrid package provides tools for the analysis of repertory grid data. The repertory grid is a method devised by George Alexander Kelly in his seminal work "The Psychology of Personal Constructs" published in 1955. The repertory grid has been used in and outside the context of Personal Construct Psychology (PCP) in a broad range of fields. For an introduction into the technique see e.g. Fransella, Bell and Bannister (2003).

Note

To get started with OpenRepGrid visit the project's home under openrepgrid.org. On this site you will find tutorials, explanation about the theory, the analysis methods and the corresponding R code.

To see the preferable citation of the OpenRepGrid package, type citation("OpenRepGrid") into the R console.

Disclaimer: Note that the package is distributed under the GPL 2 license. It is work in progress and is continuously being improved by hopefully numerous contributors. It may contain bugs and errors. There is no warranty whatsoever for the program.

Author(s)

OpenRepGrid is maintained by Mark Heckmann. Other contributors: Alejandro García, Diego Vitali. Researchers interested in contributing to the package are welcome.

The OpenRepGrid code is hosted on GitHub. The GitHub site provides additional information and allows to file bug reports or feature requests. Bug reports can also be emailed to the package maintainer or issued on openrepgrid.org under section Suggestions/Issues. The package maintainer is Mark Heckmann <heckmann(dot)mark(at)gmail(dot)com>.

References

Fransella, F., Bell, R. C., & Bannister, D. (2003). A Manual for Repertory Grid Technique (2. Ed.). Chichester: John Wiley & Sons.

Kelly, G. A. (1955). The psychology of personal constructs. Vol. I, II. New York: Norton, (2nd printing: 1991, Routledge, London, New York).

See Also

Useful links:


OpenRepGrid documentation built on May 31, 2023, 5:33 p.m.