Description
Estimate Power and Required Sample Size in QCA.
Description
Researchers working with Qualitative Comparative Analysis (QCA) can use the package to estimate power of a sufficient term using permutation tests. A term can be anything: A condition, conjunction or disjunction of any combination of these. The package further allows users to plot the estimation results and to estimate the number of cases required to achieve a certain level of power, given a prespecified null and alternative hypothesis. Reference for the article introducing power estimation for QCA is: Rohlfing, Ingo (2018) <doi:10.1017/pan.2017.30> (ungated version: <doi:10.17605/OSF.IO/PC4DF>).
README.md
Estimating power and required sample size in QCA
The qcapower package for R allows researchers working with Qualitative Comparative Analysis (QCA) to
- estimate power using permutation tests and create diagnostic plots;
- estimate the required sample size for a target power level.
Version 0.1.0 of the package is available on CRAN. Please read the vignette on CRAN for information on what you can do with the package. The current Github version is 0.2.0 that only differs from the version 0.1.0 regarding updated author information and minor fixes that do not concern the main functions.
install.packages("qcapower")
library(qcapower)
The current version can be installed from Github.
pak::pak("ingorohlfing/qcapower")
library(qcapower)
We received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement nr. 638425, Enhanced Qualitative and Multimethod Research).