Calibration and confounding conditions in a large-N example

.

Chapter 11 in Qualitative Comparative Analysis, 2024, pp 167-194 from Edward Elgar Publishing

Abstract: This chapter takes readers through the various steps of a QCA study using the example of regional innovation in Europe. The example is a large-N study with limited case knowledge. The example discusses all steps of a QCA study, from casing and calibration to truth table analysis and the interpretation of configurations into plausible causal claims. The chapter familiarizes readers with the fsQCA software and introduces the notions of core and contributory conditions. It argues that robustness tests are not particularly relevant for an interpretive method like QCA. The chapter explains how researchers can enrich their QCA study by investigating confounding conditions.

Keywords: Economics and Finance; Geography; Research Methods; Urban and Regional Studies (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.elgaronline.com/doi/10.4337/9781839104527.00016 (application/pdf)
Our link check indicates that this URL is bad, the error code is: 503 Service Temporarily Unavailable

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:elg:eechap:19631_11

Ordering information: This item can be ordered from
http://www.e-elgar.com

Access Statistics for this chapter

More chapters in Chapters from Edward Elgar Publishing
Bibliographic data for series maintained by Darrel McCalla ().