2026-05-03T02:32:15Z https://datacatalogue.cessda.eu/oai-pmh/v0/oai

afd96ad86e62982162d1f6ca07d03f730afb49aa5ed1d3b11a405de157c75ed2 2025-06-17T03:16:35Z language:enopenaire_data

DDI study level documentation for study 10.7802/2550 Dataset – Personalization of Politics Expert Survey (PoPES) (1985-2016) Dataset – Personalization of Politics Expert Survey (PoPES) (1985-2016) Dataset – Personalization of Politics Expert Survey (PoPES) (1985-2016) 10.7802/255010.7802/255010.7802/255010.7802/2550 Marino, Bruno Marino, Bruno Martocchia Diodati, Nicola Martocchia Diodati, Nicola Verzichelli, Luca Verzichelli, Luca GESIS Data Archive for the Social SciencesGESIS Datenarchiv für Sozialwissenschaften parliamentary electionpartyparty politicspolitical leadershipautonomypolitical powernomination of candidatesparliamentary electionpartyparty politicspolitical leadershipautonomypolitical powernomination of candidates 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 agenda of the party; the control of the party organization by the party leader. The unit of analysis is, for the country-level dimension, the country in the general election while, for the party-level dimensions, the unit of analysis is the political party in the general election.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 agenda of the party; the control of the party organization by the party leader. The unit of analysis is, for the country-level dimension, the country in the general election while, for the party-level dimensions, the unit of analysis is the political party in the general election. PortugalPortugalAustriaAustriaBelgiumBelgiumDenmarkDenmarkFinlandFinlandFranceFranceGermanyGermanyGreeceGreeceIcelandIcelandIrelandIrelandItalyItalyNetherlandsNetherlandsNorwayNorwaySpainSpainSwedenSwedenSwitzerlandSwitzerlandUnited Kingdom of Great Britain and Northern IrelandUnited Kingdom of Great Britain and Northern Ireland General elections between 1985 and 2016 in the selected countries; selected political parties between 1985 and 2016 in the selected countries 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 electionIn 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 Web-based interviewInterview.WebBasedWebbasiertes InterviewInterview.WebBased Free access (without registration) - The research data can be downloaded directly by anyone without further limitations.Freier Zugang (ohne Registrierung) - Die Forschungsdaten können von jedem direkt heruntergeladen werden. http://dbkapps.gesis.org/dbkoai/oai.asp oai:dbk.gesis.org:SDN/10.7802_2550 2023-06-16 ddi:codebook:2_5