Peer Fiss, the Jill and Frank Fertitta Chair in Business Administration and Professor of Management and Organization, and Sociology (by courtesy) at USC Marshall is an expert in set-analytic methods, specifically in the use of crisp and fuzzy set Qualitative Comparative Analysis (QCA). In this workshop, Peer Fiss will provide an overview and introduction of QCA and how it can be applied in management and social sciences.
I. Workshop Preparation:
Dr. Fiss is suggesting to review the following material prior to the workshop for optimal learning outcomes*:
- 1.C.C. Ragin 2008: Redesigning social inquiry. Fuzzy sets and beyond – recommended
- 2.P.C. Fiss 2007: A set-theoretic approach to organization configurations – how to apply QCA to management issues
Small- and large-N empirical examples:
- 3.Crilly et al 2012: Faking it or muddling through? Understanding decoupling in response to stakeholder pressures
- 4.P.C. Fiss 2011: Building better causal theories: A fuzzy set approach to typologies in organization research
*Please note: The preparatory readings are suggested for best learning outcomes. Participants will be able to follow the workshop without prior knowledge.
II. Workshop Organization:
- Part I: Background and Introduction – 03/15/22, 12:15pm-2:00pm (EST):
- What is QCA?
- How does it work?
- Part II: Application – 03/17/22, 12:15pm-2:00pm (EST):*
- Guided exercises and examples
- Q&A
III. Background material and sample datasets
This link to provides access to
- Workshop slides (please note: the slide set contains many more slides than we will be able to cover but consider them as background information)
- A set of sample datasets. (the fsqca software package is freely available from fsqca.com, and for the second day it is suggested to participants to have it available*)
- A larger set of background readings (for those participants who would like to follow up on the method)
*Please note: Workshop participants can either just follow Dr. Fiss’s demonstration of exercises and examples – or, try out the guided exercises themselves by using the fsqca software package on their machine. The fsqca software can be downloaded prior to the workshop for free here.