Varianter på demokrati Dataset - Version 10

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.

Varianter på demokrati (V-Dem) är ett internationellt forskningsprojekt vars syfte är att ta fram nya indikatorer på demokrati, i alla världens länder från år 1789 fram till idag. V-Dem erbjuder ett nytt sätt att konceptualisera och mäta demokrati, och särskiljer mellan fem demokratiprinciper: val-, liberal-, deltagar-, deliberativ- och jämlikhetsdemokrati, och samlar in data för att mäta dessa.

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

Övrigt

Self-administered questionnaire

Självadministrerat frågeformulär

Identifier
Source https://snd.gu.se/catalogue/study/ext0363
Metadata Access https://datacatalogue.cessda.eu/oai-pmh/v0/oai?verb=GetRecord&metadataPrefix=oai_ddi25&identifier=e181fdf468e2279c7f33fd1fda404d3ab1a374584eac44369db9f01ee7cfbd99
Provenance
Creator John Gerring; Carl Henrik Knutsen; Jan Teorell; Pamela Paxton; Staffan I. Lindberg; Daniel Pemstein; Eitan Tzelgov; M. Steven Fish; Steven Wilson; Juraj Medzihorsky; Michael Coppedge; Kelly McMann; Valeriya Mechkova; Laura Maxwell; Rachel Sigman; Jeffrey Staton; Daniel Ziblatt; Johannes von Römer; Michael Bernhard; Garry Hindle; Nazifa Alizada; Haakon Gjerløw; Nina Ilchenko; Svend-Erik Skaaning; Yi-ting Wang; Adam Glynn; Allen Hicken; Tore Wig; Brigitte Seim; Anna Lührmann; Lisa Gastaldi; Agnes Cornell; Altman David; Aksel Sundström; Kyle L. Marquardt
Publisher Swedish National Data Service; Svensk nationell datatjänst
Publication Year 2020
Rights Access to data through an external actor. Data are freely accessible.; Åtkomst till data via extern aktör. Data är fritt tillgängliga.
OpenAccess true
Contact https://snd.gu.se
Representation
Language English
Discipline Political Science; Social Sciences; Social and Behavioural Sciences