QCA and fuzzy sets
published: Aug. 7, 2009, recorded: August 2009, views: 328
See Also:
Launch in a standalone WM Player
Switch to Windows Media Player
Download slides:
ssmt09_rihoux_qcafs_01.ppt (203.5 KB)
Related content
01:43:02
21223 views - Michael Berthold, 2005
01:28:01
2154 views - Bernhard Kittel, 2009
01:30:46
1142 views - Tony Onwuegbuzie, 2009
01:36:27
14247 views - Jure Leskovec, 2008
53:23
60 views - Anuška Ferligoj, Benoît Rihoux, Samo Kropivnik, 2009
03:21
5022 views - Antal van den Bosch, 2007
18:21
186 views - David Rizo Valero, 2008
50:36
189 views - Anuška Ferligoj, 2009
12:43
337 views - Matjaž Juršič, 2008
03:24:20
7056 views - Ulrike von Luxburg, 2007
Report a problem or upload files
If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
We are currently conducting a short survey. We value your feedback, and would appreciate if you took a few moments to respond to some questions. Click here to take the survey.
Description
This course examines the family of 'configurational comparative methods' (CCM). First, the course spells out the fundamental concepts that underlie the configurational comparative approach. In the framework of the general literature on comparative empirical social research, participants are made familiar with issues such as concept formation, truth tables, basic Boolean algebra, ideal types, and property spaces. Then participants are trained to use the most widely used of the CCM so far: dichotomous Qualitative Comparative Analysis (csQCA). The practical steps and best practices of csQCA (including software use: TOSMANA and fs/QCA) are taught: first the basic procedures, then various refinements. The course is concluded with an overview of linked developments such as fuzzy set QCA (fsQCA) and multi-value QCA (mvQCA) and the combination of QCA with other methods. Real-life, published applications are used throughout the course; participants are also encouraged to bring their own data, if available. Some basic quantitative or qualitative methodological training is probably useful to get more out of the course, but participants with little methodological training should find no major obstacles to follow the course. Above all, participants should be motivated to engage in rigorous comparative analysis.
Link this page
Would you like to put a link to this lecture on your homepage?Go ahead! Copy the HTML snippet !



Write your own review or comment: