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Research data

Political Identities and News Consumption in Election Times (PINCET)

Bach, Ruben; Keusch, Florian; Areal, João
GESIS, Cologne. Data File Version 2.0.0, https://doi.org/10.7802/2585
Abstract: These data come from several web surveys among the German population 18 years and older who live in Germany and were eligible to vote in the 2021 federal election. Respondents were recruited from the German nonprobability online panel of Respondi/Bilendi. In August of 2021, members of the online panel were invited through a survey-router system. For Wave 1 (30.8.2021-7.9.2021), 3,530 people were invited to the survey and 2,221 ended the survey successfully. For Wave 1B (8.9.2021-14.9.2021), only respondents from Wave 1 who reported owning a smartphone were invited. 1,803 completed the survey. ... more
Availability: Free access (with registration)
Subject area: [Political Process, Elections, Political Sociology, Political Culture [=] Mass Communication]
Topics: media consumption | political identity | voting behavior | opinion formation | political attitude | data collection method | data documentation

Methodology

Date(s) of Data Collection: 2021-08; 2021-12
Geographic coverage: Germany / DE
Sampling Procedure: Non-probability Sample - Quota Sample
Temporal Research Design: Longitudinal (panel study)
Mode of Data Collection: Web-based interview

Bibliographic information

Primärforschende, Institution: Bach, Ruben; Universität Mannheim | Keusch, Florian; Universität Mannheim | Areal, João; Universität Mannheim | Pankowska, Paulina; Universiteit Utrecht | Cernat, Alexandru; University of Manchester
Publication year: 2023
DOI: 10.7802/2585
Study number: SDN-10.7802-2585
Project funder: Baden-Württemberg Stiftung
Publisher: GESIS, Cologne

Versions

Current Version: 2.0.0, https://doi.org/10.7802/2585
Version history: ... more

Cite

Bach, Ruben, Keusch, Florian, Areal, João, Pankowska, Paulina, & Cernat, Alexandru (2023). Political Identities and News Consumption in Election Times (PINCET). GESIS, Cologne. Data File Version 2.0.0, https://doi.org/10.7802/2585.

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