format
This data frame contains 21 rows (cases) and the following 10 columns (variables):
rlll{
[ , 1] FED condition: federal level
("2" federal, "1" cantonal, "0" municipal)
[ , 2] FIN condition: financial situation
("1" positive, "0" negative)
[ , 3] URB condition: sociostructural project location
("1" urban, "0" rural)
[ , 4] GER condition: cultural project location
("1" German-speaking, "0" French-speaking)
[ , 5] HIS condition: prior history
("1" yes, "0" no)
[ , 6] COO condition: planning coordination
("1" strong, "0" not strong)
[ , 7] PRO condition: administrative professionalization
("1" high, "0" not high)
[ , 8] DIS condition: administration's discretion
("1" broad, "0" not broad)
[ , 9] EXP condition: influence of external experts
("1" great, "0" not great)
[ , 10] ACC outcome: project acceptance
("1" high, "0" not high)
}source
Sager, Fritz, and Celine Andereggen. 2012. Dealing With Complex Causality in
Realist Synthesis: The Promise of Qualitative Comparative Analysis.
American Journal of Evaluation 33 (1):60-78.