Dear Gulce,
as I understand it, it looks like you do theorize a causal chain
such as A -> B -> Y, where B is a condition that is caused
by A and where B in turn causes Y. The implementation is a little
bit more involved and the output more challenging to interpret,
but you can implement this in QCA. The QCA package has a
causalChain() function that can be used for this purpose.
For starters, one can read about causal chains in set-relational research here:
Baumgartner, Michael (2013): Detecting Causal Chains in Small-N
Data. Field Methods 25 (1): 3-24.
Baumgartner ties the analysis of chains to the coincidence analysis algorithm that he developed, but I think the idea behind the analysis of chains also works with other algorithms.
Regards
Ingo
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-- Ingo Rohlfing Professor for Methods of Comparative Political Research Cologne Center for Comparative Politics Universität zu Köln office: Herbert-Lewin-Str. 2 (IBW-Gebäude), room 313.c phone: +4922147089973 fax: +492214702889 Albertus-Magnus-Platz 50923 Köln http://ingorohlfing.wordpress.com