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This data set was used by Cebotari and Vink (2013), and it was taken here from the associated replication file Cebotari and Vink (2015).
data(CVR)
data(CVF)
A data frame containing 29 cases (ethnic minorities) and the following 6 columns:
DEMOC |
Level of democracy |
ETHFRACT |
Degree of ethnic fractionalization |
GEOCON |
Territorial concentration |
POLDIS |
Political discrimination |
NATPRIDE |
National pride |
PROTEST |
Ethnopolitical protest |
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.
The causal conditions are:
DEMOC
(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
(contextual factor), with raw scores ranging from a perfectly
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
(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
(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
(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.
The outcome is the column 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.
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