CV: Ethnic protest in Europe

In QCA: Qualitative Comparative Analysis

Description

This data set was used by Cebotari and Vink (2013), and it was taken here from the associated replication file Cebotari and Vink (2015).

Usage

data(CVR)
data(CVF)

Format

A data frame containing 29 cases (ethnic minorities) and the following 6 columns:

DEMOC	Level of democracy: (contextual factor), based on a democracy index ranking countries
	on a scale from strong autocracies (0) to strong democracies (10). The fuzzy scores were
	calibrated using an exclusion threshold of 2, a crossover of 7 and an inclusion
	threshold of 9.5.
ETHFRACT	Degree of ethnic fractionalization: (contextual factor), with raw scores ranging from a
	homogenous society (0) to a highly fragmented country (1). The fuzzy scores were
	calibrated using an exclusion threshold of 0, a crossover of 0.495 and an inclusion
	threshold of 0.8.
GEOCON	Territorial concentration: (group-related factor) with raw data coded as: widely
	dispersed (0) and primarily urban minorities (1) considered territorially dispersed
	minorities, and ethnic comunities majoritary in a region (2) and entirely concentrated
	in one region (3) considered as territorially concentrated minorities. The fuzzy scores
	were calibrated using an exclusion threshold of 0, a crossover of 1.25 and an inclusion
	threshold of 3.
POLDIS	Political discrimination: (group-related factor) captures discrimination practices
	toward minority groups that vary from no discrimination (0) to exclusive and repressive
	policies toward a minority group (4). The fuzzy scores were calibrated using an exclusion
	threshold of 0, a crossover of 0.75 and an inclusion threshold of 3.
NATPRIDE	National pride: (group-related factor) with raw scores ranging from
	‘not at all proud’ (0) to ‘very proud’ (3). The fuzzy scores were calibrated using
	an exclusion threshold of 0.5, a crossover of 1.5 and an inclusion threshold of 2.5.
PROTEST	Outcome, ethnopolitical protest: measured on a range from 0 to 5 with higher values
	indicating more intense protest actions. The fuzzy scores were calibrated using an
	exclusion threshold of 0.5, a crossover of 1.5 and an inclusion threshold of 3.

Details

There are two different versions of the Cebotari and Vink data: CVR contains the raw data, and CVF contains the data calibrated to fuzzy-sets.

References

Cebotari, V.; Vink, M.P. (2013) “A Configurational Analysis of Ethnic Protest in Europe”. International Journal of Comparative Sociology vol.54, no.4, pp.298-324.

Cebotari, V.; Vink, M.P. (2015) “Replication Data for: A configurational analysis of ethnic protest in Europe”, DOI: http://dx.doi.org/10.7910/DVN/PT2IB9, Harvard Dataverse, V2

QCA documentation built on Nov. 29, 2020, 3:01 p.m.