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Marco R. Steenbergen

Researcher at University of Zurich

Publications -  68
Citations -  8570

Marco R. Steenbergen is an academic researcher from University of Zurich. The author has contributed to research in topics: Politics & Deliberation. The author has an hindex of 31, co-authored 65 publications receiving 7866 citations. Previous affiliations of Marco R. Steenbergen include University of Bern & Carnegie Mellon University.

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Modeling Multilevel Data Structures

TL;DR: The logic and statistical theory behind multilevel models are introduced, to illustrate how such models can be applied fruitfully in political science, and to call attention to some of the pitfalls in multileVEL analysis.
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Measuring party positions in Europe: The Chapel Hill expert survey trend file, 1999-2010

TL;DR: The CHES trend file as discussed by the authors contains measures of national party positioning on European integration, ideology and several European Union (EU) and non-EU policies for 1999−2010, and explores basic trends on party positioning since 1999.
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The Responsive Voter: Campaign Information and the Dynamics of Candidate Evaluation

TL;DR: This paper found strong support for an on-line model of the candidate evaluation process that in contrast to memory-based models shows that citizens are responsive to campaign information, adjusting their overall evaluation of the candidates in response to their immediate assessment of campaign messages and events.
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Explaining the salience of anti-elitism and reducing political corruption for political parties in Europe with the 2014 Chapel Hill Expert Survey data

TL;DR: In this article, the variation of anti-corruption and anti-elite saliency in party positioning across Europe was studied. And it was shown that while anticorruption salience is primarily related to the (regional) context in which a party operates, anti-ELite salience was primarily a function of party ideology, and extreme left and extreme conservative (TAN) parties are significantly more likely to emphasize antielite views.
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Measuring Political Deliberation: A Discourse Quality Index

TL;DR: The authors developed a discourse quality index (DQI) that serves as a quantitative measure of discourse in deliberation, which is rooted in Habermas' discourse ethics and provides an accurate representation of the most important principles underlying deliberation.