Research

Research

In its research and teaching, the Department of Government primarily focuses on comparative and Austrian politics. Its research is concerned with political behaviour, political actors, such as political parties and politicians, political institutions, the processes governed by these institutions, as well as their outcomes. It includes work on political participation, voting behaviour, parties and party competition, coalition politics and Austrian politics in general and is mostly based on rationalist and behavioural approaches.

Our goal is to conduct high-level, internationally competitive research in the area of Comparative Politics with the collaboration of international project partners and research networks. At the Faculty of Social Sciences the department is mainly engaged in the key research area ''Political Competition and Communication: Democratic Representation in Changing Societies'.

The department’s approach places it in the discipline’s empirical-analytical core and is mostly based on quantitative social science methods. To map empirical phenomena accurately, researcher in the department focus on the continuous development of survey design, as well as on the analysis of empirical data by applying the best suited statistical model. The department aims to achieve the best work on Austrian politics and to make important contributions to the international academic literature on Comparative Government and Politics.

An overview of current publications and activities at the department can be found below and on the personal websites of our team.

Publications

Should we include margins of error in public opinion polls?

Author(s)
Werner Krause, Christina Gahn
Abstract

Public opinion polls have become vital and increasingly visible parts of election campaigns. Previous research has frequently demonstrated that polls can influence both citizens' voting intentions and political parties' campaign strategies. However, they are also fraught with uncertainty. Margins of error can reflect (parts of) this uncertainty. This paper investigates how citizens' voting intentions change due to whether polling estimates are presented with or without margins of error.

Using a vignette experiment (N=3224), we examine this question based on a real-world example in which different election polls were shown to nationally representative respondents ahead of the 2021 federal election in Germany. We manipulated the display of the margins of error, the interpretation of polls and the closeness of the electoral race.

The results indicate that margins of error can influence citizens' voting intentions. This effect is dependent on the actual closeness of the race and additional interpretative guidance provided to voters. More concretely, the results consistently show that margins of error increase citizens' inclination to vote for one of the two largest contesting parties if the polling gap between these parties is small, and an interpretation underlines this closeness.

The findings of this study are important for three reasons. First, they help to determine whether margins of error can assist citizens in making more informed (strategic) vote decisions. They shed light on whether depicting opinion-poll uncertainty affects the key features of representative democracy, such as democratic accountability. Second, the results stress the responsibility of the media. The way polls are interpreted and contextualized influences the effect of margins of error on voting behaviour. Third, the findings of this paper underscore the significance of including methodological details when communicating scientific research findings to the broader public.

Organisation(s)
Department of Government
External organisation(s)
Universität Potsdam
Journal
European Journal of Political Research
Volume
63
Pages
1082-1107
No. of pages
26
ISSN
0304-4130
DOI
https://doi.org/10.1111/1475-6765.12633
Publication date
11-2023
Peer reviewed
Yes
Austrian Fields of Science 2012
506014 Comparative politics
Keywords
ASJC Scopus subject areas
Sociology and Political Science
Portal url
https://ucrisportal.univie.ac.at/en/publications/d48ad0d4-5a45-4bbd-ac1a-0e2db34fc018