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2016
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49 pages
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In the second section we discuss in general terms how the Varieties of Democracy (V-Dem) project differs from extant indices and how the novel approach taken by V-Dem might assist the work of activists, professionals, and scholars. Appendix A addresses the possible uses of V-Dem for program evaluation, Appendix B offers a glossary of key terms used in this document, and Appendix C clarifies search terms used for several analyses in Table . Many attempts have been made to measure democracy. It is somewhat complicated to identify these indices because they do not always refer explicitly to democracy. Nonetheless, we include an index in our survey if it is commonly viewed as representing democracy or some aspect of democracy, and if it features fairly broad country coverage. This includes the BNR index developed by Bernhard, Nordstrom & Reenock (2001); the Bertelsmann Transformation Index ("BTI") directed by the Bertelsmann Stiftung (various years); the Democracy Barometer developed by Wolfgang Merkel & associates (Bühlmann, Merkel, Müller & Weßels 2012); the BMR index developed by Boix, Miller & Rosato (2013), the Contestation and Inclusiveness indices developed by Coppedge, Alvarez, & Maldonado (2008); the Political Rights, Civil Liberty, Nations in Transit, and Countries at the Crossroads indices, all sponsored by Freedom House (freedomhouse.org); the Economist Intelligence Unit (2010) index ("EIU"); the Unified Democracy Scores ("UDS") developed by Pemstein, Meserve & Melton (2010); the Polity2 index from the Polity IV database (Marshall, Gurr & Jaggers 2014); the democracy-dictatorship ("DD") index developed by Adam Przeworski & colleagues (Alvarez, Cheibub, Limongi & Przeworski 1996; Cheibub, Gandhi & Vreeland 2010); the Lexical index of electoral democracy developed by Skaaning, Gerring & Bartusevičius (2015); the Competition and Participation indices developed by Tatu Vanhanen (2000); and the Voice and Accountability index developed as part of the Worldwide Governance Indicators ("WGI") (Kaufmann, Kraay & Mastruzzi 2010). 2 In order to make comparisons in a systematic fashion we summarize key features of 2 Other indices, not included in Table , may be briefly listed: the Political Regime Change [PRC] dataset
The central research question for this article is: How can democracy and the quality of democracy be measured globally and empirically? Certainly, democracy measurement represents a wider research field; however, this article wants to contribute to it by offering to the reader an introduction and by giving first views about the ideas of democracy measurement in a global comparison and worldwide approach. The article contrasts different approaches to the measurement of democracy, with a focus on three macro-models of democracy measurement as well as the democratic indices (indicators) that they apply specifically: Freedom House, Democracy Index and Democracy Ranking. All three initiatives want to measure a large number of democracies over a longer period of time. In conclusion, it could, at least implicitly, be argued for Freedom House: the higher the freedom evaluation of a country, the greater the chances are or the more there is an expectation of a tendency for an advanced quality of democracy.
A comprehensive and integrated framework for the analysis of data is offered and used to assess data sets on democracy. The framework first distinguishes among three challenges that are sequentially addressed: conceptualization, measurement, and aggregation. In turn, it specifies distinct tasks associated with these challenges and the standards of assessment that pertain to each task. This framework is applied to the data sets on democracy most frequently used in current statistical research, generating a systematic evaluation of these data sets. The authors' conclusion is that constructors of democracy indices tend to be quite self-conscious about methodological issues but that even the best indices suffer from important weaknesses. More constructively, the article's assessment of existing data sets on democracy identifies distinct areas in which attempts to improve the quality of data on democracy might fruitfully be focused.
A comprehensive and integrated framework for the analysis of data is offered and used to assess data sets on democracy. The framework first distinguishes among three challenges that are sequentially addressed: conceptualization, measurement, and aggregation. In turn, it specifies distinct tasks associated with these challenges and the standards of assessment that pertain to each task. This framework is applied to the data sets on democracy most frequently used in current statistical research, generating a systematic evaluation of these data sets. The authors' conclusion is that constructors of democracy indices tend to be quite self-conscious about method-ological issues but that even the best indices suffer from important weaknesses. More constructively, the article's assessment of existing data sets on democracy identifies distinct areas in which attempts to improve the quality of data on democracy might fruitfully be focused. T he study of democracy—a core concern within comparative politics and international relations—increasingly has drawn on sophisticated statistical methods of causal inference. This is a welcome development, and the contributions of this quantitative literature are significant. However, with a few notable exceptions, 1 quantitative researchers have paid sparse attention to the quality of the data on democracy that they analyze. Indeed, the assessments that have been carried out are usually restricted to fairly informal discussions of alternative data sets and somewhat superficial examinations of 5 AUTHORS' NOTE: We would like to thank
Measuring characteristics of democracy is not an easy task, but anyone who does empirical research on democracy needs good measures. In this article, we present the Democracy Barometer, a new measure that overcomes the conceptual and methodological shortcomings of previous indices. It allows for a description and comparison of the quality of thirty established democracies in the timespan between 1995 and 2005. The article examines its descriptive purposes and demonstrates the potential of this new instrument for future comparative analyses.
International Journal of Social Ecology and Sustainable Development, 2013
The central research question for this article is: How can democracy and the quality of democracy be measured globally and empirically? Certainly, democracy measurement represents a wider research field; however, this article wants to contribute to it by offering to the reader an introduction and by giving first views about the ideas of democracy measurement in a global comparison and world-wide approach. The article contrasts different approaches to the measurement of democracy, with a focus on three macro-models of democracy measurement as well as the democratic indices (indicators) that they apply specifically: Freedom House, Democracy Index and Democracy Ranking. All three initiatives want to measure a large number of democracies over a longer period of time. In conclusion, it could, at least implicitly, be argued for Freedom House: the higher the freedom evaluation of a country, the greater the chances are or the more there is an expectation of a tendency for an advanced qualit...
Democracy is an almost universal ideal, being enshrined in a huge majority of the constitutions around the world, but it has proven very hard to implement in practice. A fundamental question in political science is how to measure democracy, a contested issue that remains unsettled with some scholars advocating for minimalist approaches and others arguing for maximalist ones. In this paper I will start by analyzing the theoretical debate about the measurement of democracy, reviewing the arguments supporting the different approaches, to then analyze one of the maximalist indices: the Democracy Index of the Economist Intelligence Unit (EIU). I will enumerate the advantages and disadvantages of the EIU Index by contrasting it with the one by Freedom House, and will conclude by suggesting some methodological changes to tackle the severe disadvantages it has, in terms of validity, reliability and legitimacy.
2019
We are very grateful for our funders' support over the years, which has made this venture possible. To learn more about our funders, please visit: https://www.v-dem.net/en/v-dem-institute/funders The views and opinions expressed in this report are those of the authors and do not necessarily reflect an official position of the V-Dem Project or the V-Dem Steering Committee. Varieties of Democracy (V-Dem) produces the largest global dataset on democracy with some 27 million data points for 202 countries from 1789 to 2018. Involving over 3,000 scholars and other country experts, V-Dem measures hundreds of different attributes of democracy. V-Dem enables new ways to study the nature, causes, and consequences of democracy embracing its multiple meanings.
European Political Science, 2015
Over recent decades, comparative political scientists have developed new measures at a rate of knots that evaluate the quality of democratic regimes. These indices have been broadly applied to assess the quality of democracy cross-nationally and to test the generalisability of theories regarding its causes and effects. However, the validity of these inferences is jeopardised by the fact that the quality of democracy is an abstract and contested concept. In order to address this eventuality, researchers constructing indices measuring the quality of democracy as well as researchers applying these indices should critically examine the quality of the indices. Owing to the absence of a standardised framework that is both suitable for the evaluation of contested concepts and that includes explicit coding rules so as to be directly applicable, this article seeks to fill this gap. The application of our framework is demonstrated by an evaluation of the Sustainable Governance Indicators, the Global Democracy Ranking and the Democracy Barometer. As indicated by our evaluation, the framework is a practical tool that helps to assess the conceptual foundation, validity, reliability and replicability of indices. In addition, it can be used to study the quality of indices in a comparable manner.
the second edition covered the situation towards the end of 2008; the third as of November 2010 and the fourth at the end of 2011.
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