Dataset – Personalization of Politics Expert Survey (PoPES) (1985-2016)
GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2550
Abstract: This dataset provides data on different dimensions of personalization of politics in Western Europe from 1985 until 2016 thanks to data collected via an expert survey. Data are available for a series of countries and more than 110 parties.
The dataset includes data on four dimensions of personalization. One dimension (country-level) is related to the impact of personalization in general elections. Three further dimensions (party-level) are related to: the autonomy of the party leader in selecting candidates for general elections; the autonomy of the party leader in defining the policy-making ... more Availability: Free access (without registration)
Subject area: [Political Science]
Methodology
Date(s) of Data Collection: 2017; 2017
Geographic coverage: [Portugal / PT [=] Austria / AT [=] Belgium / BE [=] Denmark / DK [=] Finland / FI [=] France / FR [=] Germany / DE [=] Greece / GR [=] Iceland / IS [=] Ireland / IE [=] Italy / IT [=] Netherlands / NL [=] Norway / NO [=] Spain / ES [=] Sweden / SE [=] Switzerland / CH [=] United Kingdom of Great Britain and Northern Ireland / GB]
Universe: General elections between 1985 and 2016 in the selected countries; selected political parties between 1985 and 2016 in the selected countries
Sampling Procedure: In the countries considered, we included political parties that satisfied two conditions: having obtained at least 5% of the votes in one general election between 1985 and 2016 and, to be included in a given general election, having obtained at least 1% of the votes in that general election
Mode of Data Collection: Web-based interview
Bibliographic information
Primärforschende, Institution: Marino, Bruno; LUISS Guido Carli | Martocchia Diodati, Nicola | Verzichelli, Luca; Università degli Studi di Siena; CIRCaP
Publication year: 2023
DOI: 10.7802/2550
Study number: SDN-10.7802-2550
Publisher: GESIS, Cologne
Versions
Current Version: 1.0.0, https://doi.org/10.7802/2550
