Fuzzy Sets on Shaky Ground: Parameter Sensitivity and Confirmation Bias in fsQCA
By Chris Krogslund, Donghyun Choi, Mathias Poertner. Political Analysis, 2015
132 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/ee5a2b16fdeb78d9b312ea4868766401f7cb213c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Bear F. Braumoeller
- James Mahoney
- Gary Goertz
- Carsten Q. Schneider
- Barbara Vis
- Jan Dul
- Charles C. Ragin
- Peer C. Fiss
Citations in the corpus
- Guarding Against False Positives in Qualitative Comparative Analysis (2015, background): “For example, Krogslund, Choi, and Poertner (2015) reexamine three prominent studies that use fsQCA and find that completely random variables added to the model specifications are identified as part of at least one sufficient condition quite often—from 75.2% of the time to 100% of the time,…”