Dear Andrei,
The website https://sites.socsci.uci.edu/~cragin/fsQCA/software.shtml offers the software fsQCA 4.1. It is still possible to do crisp-set QCA with that software. But you need to be careful using it because the way in which the Quine-McCluskey algorithm and the procedures for solving the PI chart are implemented in that software will regularly lead to situations where you will not discover all models that fit your data equally well. Among those models not revealed to you may be the one that represents the true causal story behind your data. In other words, no matter how good or extensive your data are, you will never be able to find the truth.
For a short video of mine on the ambiguity problem, see
https://youtu.be/n8k4OQY5mHg
For formal peer-reviewed publications, see
- Thiem, Alrik, and Adrian Duşa. 2013. "Boolean Minimization in Social Science Research: A Review of Current Software for Qualitative Comparative Analysis (QCA)." Social Science Computer Review 31 (4):505-21.
- Baumgartner, Michael, and Alrik Thiem. 2017. "Model Ambiguities in Configurational Comparative Research." Sociological Methods & Research 46 (4):954-87.
- Thiem, Alrik. 2017. "Conducting Configurational Comparative Research With Qualitative Comparative Analysis: A Hands-On Tutorial for Applied Evaluation Scholars and Practitioners." American Journal of Evaluation 38 (3):420-33.
- Thiem, Alrik, Lusine Mkrtchyan, Tim Haesebrouck, and David Sanchez. 2020. "Algorithmic bias in social research: A meta-analysis." PLoS ONE 15 (6):e0233625. (open access; first meta-analysis on this problem)
Best wishes
Alrik
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