Conceptual and Measurement Issues in Assessing Democratic Backsliding
During the past decade, analyses drawing on several democracy measures have shown a global trend of democratic retrenchment. While these democracy measures use radically different methodologies, most partially or fully rely on subjective judgments to produce estimates of the level of democracy withi...
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| Published in | PS, political science & politics Vol. 57; no. 2; pp. 162 - 177 |
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| Main Authors | , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
New York, USA
Cambridge University Press
01.04.2024
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| Subjects | |
| Online Access | Get full text |
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| Abstract | During the past decade, analyses drawing on several democracy measures have shown a global trend of democratic retrenchment. While these democracy measures use radically different methodologies, most partially or fully rely on subjective judgments to produce estimates of the level of democracy within states. Such projects continuously grapple with balancing conceptual coverage with the potential for bias (Munck and Verkuilen 2002; Przeworski et al. 2000). Little and Meng (L&M) (2023) reintroduce this debate, arguing that “objective” measures of democracy show little evidence of recent global democratic backsliding.1 By extension, they posit that time-varying expert bias drives the appearance of democratic retrenchment in measures that incorporate expert judgments. In this article, we engage with (1) broader debates on democracy measurement and democratic backsliding, and (2) L&M’s specific data and conclusions. |
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| AbstractList | During the past decade, analyses drawing on several democracy measures have shown a global trend of democratic retrenchment. While these democracy measures use radically different methodologies, most partially or fully rely on subjective judgments to produce estimates of the level of democracy within states. Such projects continuously grapple with balancing conceptual coverage with the potential for bias (Munck and Verkuilen 2002; Przeworski et al. 2000). Little and Meng (L&M) (2023) reintroduce this debate, arguing that "objective" measures of democracy show little evidence of recent global democratic backsliding.1 By extension, they posit that time-varying expert bias drives the appearance of democratic retrenchment in measures that incorporate expert judgments. In this article, we engage with (1) broader debates on democracy measurement and democratic backsliding, and (2) L&M's specific data and conclusions. During the past decade, analyses drawing on several democracy measures have shown a global trend of democratic retrenchment. While these democracy measures use radically different methodologies, most partially or fully rely on subjective judgments to produce estimates of the level of democracy within states. Such projects continuously grapple with balancing conceptual coverage with the potential for bias (Munck and Verkuilen 2002; Przeworski et al. 2000). Little and Meng (L&M) (2023) reintroduce this debate, arguing that “objective” measures of democracy show little evidence of recent global democratic backsliding. 1 By extension, they posit that time-varying expert bias drives the appearance of democratic retrenchment in measures that incorporate expert judgments. In this article, we engage with (1) broader debates on democracy measurement and democratic backsliding, and (2) L&M’s specific data and conclusions. |
| Author | Pemstein, Daniel Seim, Brigitte Edgell, Amanda B. Medzihorsky, Juraj Teorell, Jan Lindberg, Staffan I. Marquardt, Kyle L. Gerring, John Knutsen, Carl Henrik Coppedge, Michael |
| Author_xml | – sequence: 1 givenname: Carl Henrik orcidid: 0000-0002-5470-9045 surname: Knutsen fullname: Knutsen, Carl Henrik email: c.h.knutsen@stv.uio.no organization: University of Oslo, Norway – sequence: 2 givenname: Kyle L. orcidid: 0000-0003-2043-5880 surname: Marquardt fullname: Marquardt, Kyle L. email: kyle.marquardt@uib.no organization: University of Bergen, Norway – sequence: 3 givenname: Brigitte orcidid: 0000-0001-7963-4767 surname: Seim fullname: Seim, Brigitte email: seimbri@gmail.com organization: University of North Carolina at Chapel Hill, USA – sequence: 4 givenname: Michael orcidid: 0000-0002-4865-6901 surname: Coppedge fullname: Coppedge, Michael email: coppedge.1@nd.edu organization: University of Notre Dame, USA – sequence: 5 givenname: Amanda B. orcidid: 0000-0002-3029-691X surname: Edgell fullname: Edgell, Amanda B. email: abedgell@ua.edu organization: University of Alabama, USA – sequence: 6 givenname: Juraj orcidid: 0000-0003-1042-378X surname: Medzihorsky fullname: Medzihorsky, Juraj email: juraj.medzihorsky@durham.ac.uk organization: Durham University, UK – sequence: 7 givenname: Daniel orcidid: 0000-0002-1144-6337 surname: Pemstein fullname: Pemstein, Daniel email: daniel.pemstein@ndsu.edu organization: North Dakota State University, USA – sequence: 8 givenname: Jan orcidid: 0000-0002-0628-0096 surname: Teorell fullname: Teorell, Jan email: jan.teorell@statsvet.su.se organization: Stockholm University, Sweden – sequence: 9 givenname: John orcidid: 0000-0001-9858-2050 surname: Gerring fullname: Gerring, John email: jgerring@austin.utexas.edu organization: University of Texas at Austin, USA – sequence: 10 givenname: Staffan I. orcidid: 0000-0003-0386-7390 surname: Lindberg fullname: Lindberg, Staffan I. email: sil@v-dem.net organization: University of Gothenburg, Sweden |
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| Copyright | The Author(s), 2024. Published by Cambridge University Press on behalf of American Political Science Association The Author(s), 2024. Published by Cambridge University Press on behalf of American Political Science Association. This work is licensed under the Creative Commons Attribution License This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited. (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. info:eu-repo/semantics/openAccess |
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| SubjectTerms | Bias Coding Comment and Controversy Comment and Controversy: Special Issue on Democratic Backsliding Construction (Process) Debates Democracy Elections Error of Measurement Evidence Freedom Measurement techniques Measures Political Science Political systems Retrenchment Statsvetenskap Trends |
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| Title | Conceptual and Measurement Issues in Assessing Democratic Backsliding |
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