I'd like to know if there is a software for Qualitative Comparative Analysis for use in fuzzy set mode beyond fs/QCA, or whether the fs/QCA has a newer update.
There are packages in R ("QCA", "SetMethods", and "QCA3", with the first being the best maintained and developed) and stand-alone software programs, such as Kirq and Tosmana.
According Schneider and Wageman (2013), QCA is a type of set-theoretic methods. that is, "approaches to analyzing social reality through the notion of sets and their relations. Can model causal complexity, expressed in terms of equifinality, conjunctural causation, and asymmetry (...) QCA is the "most formalized set-theoretic method, which uses formal logic and Boolean algebra in the analysis of truth tables and aims at establishing necessary or sufficient conditions, integrating parameters of fit (consistency and coverage)". Alson know as configurational comparative methods, set theoritic methods applied with QCA enables studies of multiple cases. QCA could have a double nature, both a research approach and a data analysis. For you know better the QCA, I suggest the books and articles of Charles Ragin (with co-authors), Schneider & Wagemann and Peer Fiss.
Thanks! I have checked this software as well as R. They are quite comprehensive, but I still think they are not as user friendly as the fs/QCA (I have used fuzzy analysis).
I am studying a phenomenon that I have called Appropriation of legislative agenda, the recent finding of the Brazilian Political Science, whereby the Executive is being debated in content Proposals in the Legislative concrete possibilities to develop and direct their own legislative agenda, taking into account discussions and even texts of parliamentary projects, converting them into bills of his initiative. The Appropriation fits perfectly in the three aspects that justify the use of fsQCA: asymmetry, equifinality and causal complexity.
I am not sure that nVivo can do QCA at all. fs/Qca is the only package I am aware of that can. Is there a reason you feel that you need a more updated version? I have found fs/QCA to work very well for fuzzy set analysis, and have not run into any limitations or problems with it, as long as I set it up correctly.
You will also find that the author of the software is very helpful - I had some email conversation with him while I was working on a project, and he could not have been more helpful or responsive.
If you look in my profile, you will see a paper I published in 2013 using fs/Qca.
I have had some brief experience with the QCA package in R that was mentioned by Carsten Schneider. If you are inexperienced with R than it will take some effort to get used to it, but once you're there, the QCA package in R may be more flexible than the other QCA software options, for instance with regard to visualization. I think it is worth considering it.
So far I have used only the fsQCA. I really need to study other software such as R and Stata to verify the potential of each one of them. At the moment, the greatest difficulty is to order books or guides that are user friendly. For me, the fsQCA was very easy to use.
The "fuzzy" Stata application allows for use with fuzzy or crisp sets. It also has some built in functions that make interpreting results compatible with regression models. I found the explanation article from the authors easy enough to use.
The "fuzzy" application for Stata is pretty easy to use and has some nice built in outputs that make results compatible with linear regression models. It also allows for fuzzy or crisp sets.
There is a book about the QCA package in R: see the link I attached. It's a nice book, although the book is not totally up-to-date anymore because changes in the QCA package have been implemented since then. Also, if you plan to buy it, you might first want to check if your university library already has access to the online version.
Hello Rafael, have you tried Kirq? developped by Claude Rubinstein. It is totally compatible with Linux and Mac OS, and It is very userfriendly, even better than fsQCA... if you don't like it then I recommend R (QCA or QCA3 packages)
Claude would be surprised to find out his last name was Rubinstein, fsQCA is not a computer programme but a QCA variant (the software is called fs/QCA), and Kirq is authored by Christopher Reichert and Claude Rubinson. In addition, the choice of the software is not primarily a matter of taste, but of functionality. Both fs/QCA (up to version 2.5) and Tosmana (up to version 1.3.2.0) have proven bugs that cause them to not reveal the complete model space of a QCA solution, even under their in-built modelling constraints (see Thiem and Duşa 2013, Thiem 2014 and Baumgartner and Thiem 2015; attached as links/files below). Hence my advice: if you want to carry out proper causal data analysis with QCA, use the QCA package in R (version 1.1-4), with both "row dominance" and "minimal disjunctivity" set to FALSE as explained in the documentation to the package.
http://ssc.sagepub.com/content/31/4/505
http://erx.sagepub.com/content/38/6/487
Conference Paper When There is More Than Meets the Eye: Model Ambiguities in ...
I have a copy of NVivo and see no function further conducting a truth table analysis using NVivo. Could those who have indicated NVivo as an alternative to the organic software (Ragin et alia) tell us where we can find the tools in that platform to conduct these analyses?