This initiated as a package companion to the book by C. Q. Schneider and C. Wagemann "Set-Theoretic Methods for the Social Sciences", Cambridge University Press. It has now grown to include functions for performing set-theoretic multi-method research (Schneider and Rohlfing 2013), QCA for clustered data (Garcia-Castro and Arino 2013), theory evaluation, and Enhanced Standard Analysis. Additionally it includes data to replicate the examples in the book and in the online appendix.
| Package: | SetMethods |
| Type: | Package |
| Version: | 2.1 |
| Date: | 2017-03-17 |
| License: | GPL-2 |
The package contains functions to perform set-theoretic multi-method research, theory evaluation, QCA for clustered data, Enhanced Standard Analyses, indirect calibration, calculate parameters of fit and produce XY plots. Furthermore, it contains all the data used in "Set-Theoretic Methods for the Social Sciences" and more.
Haesebrouck, T. (2015) Pitfalls in QCA's consistency measure. Journal of Comparative Politics 2:65-80.
Schneider, C. Q., Wagemann, C. (2012) Set-Theoretic Methods for the Social Sciences, Cambridge University Press: Cambridge
Schneider, C. Q., Wagemann, C., Quaranta, M. (2012). How To... Use Software for Set-Theoretic Analysis. Online Appendix to "Set-Theoretic Methods for the Social Sciences". Available at www.cambridge.org/schneider-wagemann
Schneider, C. Q., Rohlfing, I. 2013. Combining QCA and Process Tracing in Set-Theoretic Multi-Method Research. Sociological Methods Research 42(4): 559-597
Garcia-Castro, A., Arino, M. A.. 2013. A General Approach to Panel Data Set-Theoretic Research. COMPASSS Working Paper 2013-76