z-logo
open-access-imgOpen Access
The Methodology of “Varieties of Democracy” (V-Dem) 1
Author(s) -
Coppedge Michael,
Gerring John,
Knutsen Carl Henrik,
Krusell Joshua,
Medzihorsky Juraj,
Pernes Josefine,
Skaaning Svend-Erik,
Stepanova Natalia,
Teorell Jan,
Tzelgov Eitan,
Wilson Steven L.,
Lindberg Staffan I.
Publication year - 2019
Publication title -
bulletin de méthodologie sociologique
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.419
H-Index - 17
eISSN - 2070-2779
pISSN - 0759-1063
DOI - 10.1177/0759106319854989
Subject(s) - democracy , reliability (semiconductor) , bayesian probability , point (geometry) , computer science , selection (genetic algorithm) , econometrics , point estimation , democratic theory , statistics , mathematics , artificial intelligence , political science , politics , law , power (physics) , physics , geometry , quantum mechanics
This article describes and discusses the new generation of methodological responses to measuring democracy and related issues generated by Varieties of Democracy (V-Dem). V-Dem is distinct in several regards in addition to its unique level of disaggregation, by the combination of: historical data extending back to 1900 and for a large selection among them to 1789 for many countries in the world; use of multiple, independent coders for each evaluative question; inter-coder reliability tests incorporated into a custom designed Bayesian item-response theory measurement model; provision of confidence bounds for all point estimates associated with expert-coded questions as well as for all indices; multiple indices reflecting varying theories of democracy; fully transparent aggregation procedures; and that all data are made freely available, including original coder-level judgments (exclusive of any personal identifying information).

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom