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d.transport

Determinants of High Transport Project Acceptance


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)

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

Advanced Functionality for Performing and Evaluating Qualitative Comparative Analysis

v1.1-2
GPL-3
Authors
Alrik Thiem [aut, cre, cph], Michael Baumgartner [ctb], Adrian Dusa [ctb], Reto Spoehel [ctb]
Initial release
2018-01-10

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