FSD3950 Barometer for Swedish-speaking Finns B13/2023
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Authors
- Finnish Research Infrastructure for Public Opinion (FIRIPO)
- Lindell, Marina (Åbo Akademi University. Social Science Research Institute)
Keywords
attitudes, minority language users, parliamentary elections, political attitudes, political participation, political parties, politics, voting, voting behaviour
Abstract
The survey designed for Finland-Swedes focused on the 2023 parliamentary elections and the performance of the 2019-2023 government. The data was collected as part of the Citizen Panel of Swedish-speaking Finns (Barometern), which is part of The Finnish Research Infrastructure for Public Opinion (FIRIPO).
The questionnaire began by examining voting behavior in the 2023 parliamentary elections. Respondents were asked which party they voted for, whether they voted in advance, which parties they had considered voting for before making their final choice, and how easy or difficult it was to choose a party. The survey also explored factors influencing party choice, such as the role of tactical voting, and examined respondents' online political behavior during the elections. Additionally, respondents were asked which parties they would prefer or not prefer to be part of the government after the elections.
The survey then asked which party's candidate the respondent had voted for in the 2019 parliamentary elections. Respondents were also asked to assess the performance of the Marin and Rinne governments during the 2019-2023 period. Furthermore, they were asked to evaluate the perceived development trends in various societal sectors, such as social and health care, compared to the situation at the time of the 2019 elections. Finally, the survey explored respondents' attitudes toward supporters of different political parties through hypothetical scenarios related to social and family contexts.
Background variables in the dataset include residence at the regional level, gender, age, year of birth, and level of education.
Study description in machine readable DDI-C 2.5 format
Metadata record is licensed under a Creative Commons Attribution 4.0 International license.