Main content

Contributors:

Date created: | Last Updated:

: DOI | ARK

Creating DOI. Please wait...

Create DOI

Category: Project

Description: Empirical researchers using Qualitative Comparative Analysis can work with crisp, multi-value and fuzzy sets. The relative advantages and disadvantages of crisp and multi-value sets have been discussed in the QCA literature. There has been little reflection on the more frequently encountered decision between crisp and fuzzy sets. Empirical researchers often prefer fuzzy over crisp sets because they contain more information. This meets with the methodological argument that fuzzy sets produce more conservative consistency measures and constitute tougher tests. In my paper, I take an analytical perspective and use data from published QCA studies to demonstrate that the relationship between crisp and fuzzy sets and the consistency score is ambiguous. It depends on the distribution of cases whether the consistency value is more or less conservative for fuzzy sets than for crisp sets. Based on this insight, I outline the implications of the ambiguous relationship for empirical QCA research.

Wiki

Add important information, links, or images here to describe your project.

Files

Loading files...

Citation

Components

Reproduction material


Recent Activity

Loading logs...

Manuscript and appendix


Recent Activity

Loading logs...

Tags

Recent Activity

Loading logs...

OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
Accept
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.
Accept
×

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.