A Simulation Tool to Determine the Required Sample Size for Repertory Grid Studies

Simulation tool to facilitate determination of required sample size to achieve category saturation for studies using multiple repertory grids in conjunction with content analysis.

gridsampler

Introduction

A common approach for evaluating multiple repertory grids is to sort the elicited constructs into categories using content analysis (e.g. Green, 2004; Jankowicz, 2004). Sometimes the question arises what sample size would be needed in order to achieve a minimum saturation of a certain number of constructs per category. The gridsampler GUI allows to run simulations in order to answer these type of questions.

An introduction to its usage can be found on GitHub pages. Please report any bugs here.

Installation

You can install the software from CRAN:

install.packages("gridsampler")

or from GitHub:

if (!("devtools" %in% installed.packages())) {
  install.packages("devtools")
} else {
  devtools::install_github("markheckmann/gridsampler")
}

To run it, simply type this:

gridsampler()

# Or run it in a browser window (recommended):
gridsampler(launch.browser = "TRUE")

Citation

If you use gridsampler in your publications, you can cite it as follows.

Heckmann, M . & Burk, L. (2016). gridsampler: A simulation tool to determine the required sample size for repertory grid studies. R package version 0.5. Zenodo. doi:10.5281/zenodo.61067

References

Green, B. (2004). Personal construct psychology and content analysis. Personal Construct Theory & Practice, 1(3), 82–91.
Jankowicz, D. (2004). The easy guide to repertory grids. Chichester, England: John Wiley & Sons.