Hello guys,
I read some nice articles explain the MSDO-MDSO for reducing number of conditions used within qualitative-comparative analysis. However, all of them lack the explanation for interpretation of tables created at the fourth phase of analysis - identification of relevant causal conditions - Outstanding pairs
The results were generated through online MSDO-MDSO software: version 1.1 - spring 2015 (jchr.be), available at the website https://compasss.org/software/
Thank you in advance!
Dear Andrei,
if you think you have too many variables for a reasonable application of Qualitative Comparative Analysis (QCA), you can use a much more direct approach to their selection straight from within QCA. In
Lankoski, Jussi, and Alrik Thiem. 2020. "Linkages between agricultural policies, productivity and environmental sustainability." Ecological Economics 178:106809
and
Haesebrouck, Tim, and Alrik Thiem. 2018. "Burden Sharing in CSDP Military Operations." Defence and Peace Economics 29 (7):748-65
I demonstrate the logic and application of a feasible variable selection procedure for QCA that it methodologically grounded (Occam's razor) and guaranteed to be computationally exhaustive. Since replication code for the R environment is available for both articles, you can easily adapt this procedure to your needs.
Best wishes
Alrik
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