Browsing by Author "Marquardt, Kyle L."
Now showing items 1-12 of 12
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Constraining Governments: New indices of vertical, horizontal and diagonal accountability
Lührmann, Anna; Marquardt, Kyle L.; Mechkova, Valeriya (2017)Accountability - constraints on the government’s use of political power - is one of the cornerstones of good governance. However, conceptual stretching and a lack of reliable measures have limited cross-national research ... -
Estimating Latent Traits from Expert Surveys: An Analysis of Sensitivity to Data Generating Process
Marquardt, Kyle L.; Pemstein, Daniel (2018)Models for converting expert-coded data to point estimates of latent concepts assume different data-generating processes. In this paper, we simulate ecologically-valid data according to different assumptions, and examine ... -
Experts, Coders, and Crowds: An analysis of substitutability
Marquardt, Kyle L.; Pemstein, Daniel; Sanhueza Petrarca, Constanza; Seim, Brigitte; Wilson, Steven Lloyd; Bernhard, Michael; Coppedge, Michael; Lindberg, Staffan I. (2017)Recent work suggests that crowd workers can replace experts and trained coders in common coding tasks. However, while many political science applications require coders to both and relevant information and provide judgment, ... -
How and How Much Does Expert Error Matter? Implications for Quantitative Peace Research
Marquardt, Kyle L. (2019)Expert-coded datasets provide scholars with otherwise unavailable cross-national longitudinal data on important concepts. However, expert coders vary in their reliability and scale perception, potentially resulting in ... -
Introducing the Historical Varieties of Democracy Dataset: Political Institutions in the Long 19th Century
Knutsen, Carl Henrik; Teorell, Jan; Cornell, Agnes; Gerring, John; Gjerløw, Haakon; Skaaning, Svend-Erik; Wig, Tore; Ziblatt, Daniel; Marquardt, Kyle L.; Pemstein, Dan; Seim, Brigitte (2018)The Historical Varieties of Democracy Dataset (Historical V-Dem) is a new dataset containing about 260 indicators, both factual and evaluative, describing various aspects of political regimes and state institutions. The ... -
IRT models for expert-coded panel data
Marquardt, Kyle L.; Pemstein, Daniel (2017)Data sets quantifying phenomena of social-scientific interest often use multiple experts to code latent concepts. While it remains standard practice to report the average score across experts, experts likely vary in both ... -
Measuring Politically-relevant Ientity, With and Without Groups
Marquardt, Kyle L. (2021-03)Quantitative scholarship on civil conflict still largely relies upon the ethnic group as the foundation for measures of politically-relevant diversity and, in particular, identity-based political inclusion. However, ethnicity ... -
The V-Dem Measurement Model: Latent Variable Analysis for Cross-National and Cross-Temporal Expert-Coded Data
Pemstein, Daniel; Marquardt, Kyle L.; Tzelgov, Eitan; Wang, Yi-ting; Miri, Farhad (2015)The Varieties of Democracy (V–Dem) project relies on country experts who code a host of ordinal variables, providing subjective ratings of latent—that is, not directly observable— regime characteristics over time. Sets of ... -
The V-Dem Measurement Model: Latent Variable Analysis for Cross-National and Cross-Temporal Expert-Coded Data
Pemstein, Daniel; Marquardt, Kyle L.; Tzelgov, Eitan; Wang, Yi-ting; Medzihorsky, Juraj; Krusell, Joshua; Miri, Farhad; von Römer, Johannes (2020-03)The Varieties of Democracy (V-Dem) project relies on country experts who code a host of ordinal variables, providing subjective ratings of latent- that is, not directly observable- regime characteristics over time. Sets ... -
The V-Dem Method for Aggregating Expert-Coded Data
Maxwell, Laura; Marquardt, Kyle L.; Lührmann, Anna (2018) -
The V–Dem Measurement Model: Latent Variable Analysis for Cross-National and Cross-Temporal Expert-Coded Data
Pemstein, Daniel; Marquardt, Kyle L.; Tzelgov, Eitan; Wang, Yi-ting; Medzihorsky, Juraj; Krusell, Joshua; Miri, Farhad; Römer, Johannes von (2022-03)The Varieties of Democracy (V–Dem) project relies on country experts who code a host of ordinal variables, providing subjective ratings of latent—that is, not directly observable—regime characteristics over time. Sets of ... -
What Makes Experts Reliable?
Marquardt, Kyle L.; Pemstein, Daniel; Seim, Brigitte; Wang, Yi-ting (2018)Many datasets use experts to code latent quantities of interest. However, scholars have not explored either the factors affecting expert reliability or the degree to which these factors influence estimates of latent concepts. ...