Goodness-of-Fit Tests and Descriptive Measures in Fuzzy-Set Analysis

By Scott R. Eliason, Robin S Stryker. 2009

66 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Sociology and Political Science, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/f1b32ea113904f5bcf8368f852fb12dc9beb520e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. I. Rohlfing
2. Carsten Q. Schneider
3. Martino Maggetti
4. Eva Thomann

In Sociology and Political Science

1. Martino Maggetti
2. Eva Thomann
3. I. Rohlfing
4. Carsten Q. Schneider
5. Michael Baumgartner
6. Adrian Dusa
7. Jasper J. Hotho

In Statistics and Probability

1. I. Rohlfing
2. Carsten Q. Schneider
3. Martino Maggetti
4. Eva Thomann

Citations in the corpus

• Combining QCA and Process Tracing in Set-Theoretic Multi-Method Research (2013, methodology): “The issues of proper set calibration and measurement error are discussed in the QCA literature and one should rely on proper tools for handling these problems (Eliason and Stryker 2009; Schneider and Wagemann 2012: chapter 11.”
• Designing Research With Qualitative Comparative Analysis (QCA): Approaches, Challenges, and Tools (2020, methodology): “While these two approaches adopt different modes of reasoning, they do not correspond to the ideal–typical notions of inductive designs nor to those of deductive research designs (Eliason and Stryker 2009).”