d.transport: Determinants of High Transport Project Acceptance

In QCApro: Advanced Functionality for Performing and Evaluating Qualitative Comparative Analysis

Description

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

Usage

data(d.transport)

Format

This data frame contains 21 rows (cases) and the following 10 columns (factors):

[ , 1]	FED	exogenous factor:	federal level
			("2" federal, "1" cantonal, "0" municipal)
[ , 2]	FIN	exogenous factor:	financial situation
			("1" positive, "0" negative)
[ , 3]	URB	exogenous factor:	sociostructural project location
			("1" urban, "0" rural)
[ , 4]	GER	exogenous factor:	cultural project location
			("1" German-speaking, "0" French-speaking)
[ , 5]	HIS	exogenous factor:	prior history
			("1" yes, "0" no)
[ , 6]	COO	exogenous factor:	planning coordination
			("1" strong, "0" not strong)
[ , 7]	PRO	exogenous factor:	administrative professionalization
			("1" high, "0" not high)
[ , 8]	DIS	exogenous factor:	administration's discretion
			("1" broad, "0" not broad)
[ , 9]	EXP	exogenous factor:	influence of external experts
			("1" great, "0" not great)
[ , 10]	ACC	endogenous factor:	project acceptance
			("1" high, "0" not high)

Contributors

Thiem, Alrik: collection, documentation

Author(s)

Alrik Thiem (Personal Website; ResearchGate Website)

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. DOI: 10.1177/1098214011411574.

QCApro documentation built on May 1, 2019, 10:09 p.m.