\name{_Cebotari and Vink}

\docType{data}

\alias{CVR}
\alias{CVF}

\title{Ethnic protest in Europe}

\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:

\tabular{rl}{
    
\bold{\code{DEMOC}}
    \tab Level of democracy: (contextual factor), based on a democracy index ranking countries \cr
    \tab on a scale from strong autocracies (0) to strong democracies (10). The fuzzy scores were \cr
    \tab calibrated using an exclusion threshold of 2, a crossover of 7 and an inclusion \cr
    \tab threshold of 9.5.\cr

\bold{\code{ETHFRACT}}
    \tab Degree of ethnic fractionalization: (contextual factor), with raw scores ranging from a \cr
    \tab homogenous society (0) to a highly fragmented country (1). The fuzzy scores were \cr
    \tab calibrated using an exclusion threshold of 0, a crossover of 0.495 and an inclusion \cr
    \tab threshold of 0.8.\cr
    
\bold{\code{GEOCON}}
    \tab Territorial concentration: (group-related factor) with raw data coded as: widely \cr
    \tab dispersed (0) and primarily urban minorities (1) considered territorially dispersed \cr
    \tab minorities, and ethnic comunities majoritary in a region (2) and entirely concentrated \cr
    \tab in one region (3) considered as territorially concentrated minorities. The fuzzy scores \cr
    \tab were calibrated using an exclusion threshold of 0, a crossover of 1.25 and an inclusion \cr
    \tab threshold of 3.\cr

\bold{\code{POLDIS}}
    \tab Political discrimination: (group-related factor) captures discrimination practices \cr
    \tab toward minority groups that vary from no discrimination (0) to exclusive and repressive\cr
    \tab policies toward a minority group (4). The fuzzy scores were calibrated using an exclusion\cr
    \tab threshold of 0, a crossover of 0.75 and an inclusion threshold of 3.  \cr
    
\bold{\code{NATPRIDE}}
    \tab National pride: (group-related factor) with raw scores ranging from\cr
    \tab \sQuote{not at all proud} (0) to \sQuote{very proud} (3). The fuzzy scores were calibrated using \cr
    \tab an exclusion threshold of 0.5, a crossover of 1.5 and an inclusion threshold of 2.5.\cr
    
\bold{\code{PROTEST}}
    \tab Outcome, ethnopolitical protest: measured on a range from 0 to 5 with higher values \cr
    \tab indicating more intense protest actions. The fuzzy scores were calibrated using an \cr
    \tab exclusion threshold of 0.5, a crossover of 1.5 and an inclusion threshold of 3.\cr
}
}

\details{
There are two different versions of the Cebotari and Vink data: \bold{\code{CVR}} contains
the raw data, and \bold{\code{CVF}} contains the data calibrated to fuzzy-sets.

}

\references{
Cebotari, V.; Vink, M.P. (2013) \dQuote{A Configurational Analysis of Ethnic
Protest in Europe}. \emph{International Journal of Comparative Sociology}
vol.54, no.4, pp.298-324.

Cebotari, V.; Vink, M.P. (2015) \dQuote{Replication Data for: A configurational
analysis of ethnic protest in Europe}, \doi{10.7910/DVN/PT2IB9}, Harvard Dataverse, V2
}

\keyword{datasets}
