The Democracy Cluster Classification Index

Bibliographic Data

ID7971114
AuthorsMihaiela Ristei Gugiu (0000-0003-1554-3123, The Ohio State University), M Centellas (0000-0002-7264-7044)
Year2013
Volume21
Issue3
Pages334-349
Publication date2013-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePolitical Analysis (JOURNAL)
Journal identifiersISSN: 1047-1987 • E-ISSN: 1476-4989
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.1093/pan/mpt004
OpenAlexW2090351209
LanguageEN
Citations received7
References cited50

Utilizing hierarchical cluster analysis, a new measure of democracy, the DCC index, is proposed and constructed from five popular indices of democracy (Freedom House, Polity IV, Vanahanen's index of democratization, Cheibub et al.'s index of democracy and dictatorship, and the Cingranelli-Richards index of electoral self-determination). The DCC was used to classify the regime types for twenty-four countries in the Americas and thirty-nine countries in Europe over a thirty-year period. The results indicated that democracy is a latent class variable. Sensitivity and specificity analyses were conducted for the five existing democracy indices as well as the newly proposed Unified Democracy Scores index and a predicted DCC score. This analysis revealed significant problems with existing measures. Overall, the predicted DCC index attained the highest level of accuracy although one other index achieved high levels of accuracy in identifying nondemocracies

Cluster (spacecraft · Democracy · Democratization · Dictatorship · Econometrics · Index (typography · Political science · Politics · Polity · Statistics · Computer Science · Electoral Systems and Political Participation · Mathematics · Political Conflict and Governance · Social Media and Politics · Law

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