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QCA (version 1.1-2)

d.SA: Determinants of High Transport Project Acceptance

Description

This data set is from Sager and Andereggen (2012), who analyze the determinants of high transport project acceptance in Switzerland using mvQCA.

Usage

data(d.SA)

Arguments

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.