Summary information
Study title
Varieties of Democracy Dataset - Version 10
Creator
Coppedge, Michael (Kellogg Institute for International Studies, University of Notre Dame)
Gerring, John (University of Texas at Austin)
Knutsen, Carl Henrik (University of Oslo)
Lindberg, Staffan I. (University of Gothenburg)
Teorell, Jan (Lund University)
Altman, David (Pontificia Universidad Catolica de Chile)
Bernhard, Michael (Department of Political Science, University of Florida)
Fish, M. Steven (Department of Political Science, University of California-Berkeley)
Glynn, Adam (Department of Political Science, Emory University)
Hicken, Allen (University of Michigan)
Lührmann, Anna (University of Gothenburg)
Marquardt, Kyle L. (National Research University Higher School of Economics)
McMann, Kelly (Case Western Reserve University)
Paxton, Pamela (University of Texas at Austin)
Pemstein, Daniel (North Dakota State University)
Seim, Brigitte (University of North Carolina at Chapel Hill)
Sigman, Rachel (Postgraduate Naval School)
Skaaning, Svend-Erik (Aarhus University)
Staton, Jeffrey (Department of Political Science, Emory University)
Wilson, Steven (The University of Nevada at Reno)
Cornell, Agnes (Lund University)
Alizada, Nazifa (University of Gothenburg)
Gastaldi, Lisa (University of Gothenburg)
Gjerløw, Haakon (University of Oslo)
Hindle, Garry (University of Gothenburg)
Ilchenko, Nina (University of Gothenburg)
Maxwell, Laura (University of Gothenburg)
Mechkova, Valeriya (University of Gothenburg)
Medzihorsky, Juraj (University of Gothenburg)
Römer, Johannes von (University of Gothenburg)
Sundström, Aksel (University of Gothenburg)
Tzelgov, Eitan (University of East Anglia)
Wang, Yi-ting (National Cheng Kung University)
Wig, Tore (University of Oslo)
Ziblatt, Daniel (Harvard University)
Study number / PID
ext0363-1-1 (SND)
Data access
Open
Series
Not available
Abstract
Varieties of Democracy (V-Dem) is a new approach to conceptualizing and measuring democracy. We provide a multidimensional and disaggregated dataset that reflects the complexity of the concept of democracy as a system of rule that goes beyond the simple presence of elections. The V-Dem project distinguishes between five high-level principles of democracy: electoral, liberal, participatory, deliberative, and egalitarian, and collects data to measure these principles.
V-Dem draws on theoretical and methodological expertise from its worldwide team to produce data in the most objective and reliable way possible. Approximately half of the indicators in the V-Dem dataset are based on factual information obtainable from offcial documents such as constitutions and government records. The other half consists of evaluative indicators on topics like political practices and compliance with de jure rules. On such issues, typically five experts provide ratings. V-Dem works closely with leading social science research methodologists and has developed a state of the art Bayesian Item Response Theory measurement model that, to the extent possible, minimizes coder error and addresses issues of comparability across countries and over time. V-Dem also draws on the team’s academic expertise to develop theoretically informed techniques for aggregating indicators into mid- and high-level indices. In this sense, V-Dem is at the cutting edge of developing new and improved methods of social science measurement.
Topics
Keywords
Methodology
Data collection period
Not availableCountry
Time dimension
Longitudinal: Panel: Interval
Other
Analysis unit
Geographic unit
Individual
Universe
Countries
Sampling procedure
V-Dem draws on theoretical and methodological expertise from its worldwide team to produce data in the most objective and reliable way possible. Approximately half of the indicators in the V-Dem dataset are based on factual information obtainable from offcial documents such as constitutions and government records. The other half consists of evaluative indicators on topics like political practices and compliance with de jure rules. On such issues, typically five experts provide ratings.
Other
Kind of data
Not availableData collection mode
Other
Access
Publisher
Swedish National Data Service
Publication year
2020
Terms of data access
Access to data through an external actor. Data are freely accessible.
Related publications
Not available