Summary information

Study title

Dataset – Personalization of Politics Expert Survey (PoPES) (1985-2016)

Creator

Marino, Bruno ( LUISS Guido Carli)
Martocchia Diodati, Nicola
Verzichelli, Luca ( Università degli Studi di Siena; CIRCaP)

Study number / PID

10.7802/2550 (GESIS)

10.7802/2550 (DOI)

Data access

Informationen nicht verfügbar

Series

Nicht verfügbar

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 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.

Topics

Nicht verfügbar

Methodology

Data collection period

Nicht verfügbar

Country

Portugal, Austria, Belgium, Denmark, Finland, France, Germany, Greece, Iceland, Ireland, Italy, Netherlands, Norway, Spain, Sweden, Switzerland, United Kingdom of Great Britain and Northern Ireland

Time dimension

Nicht verfügbar

Analysis unit

Nicht verfügbar

Universe

Nicht verfügbar

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

Kind of data

Nicht verfügbar

Data collection mode

Webbasiertes Interview

Access

Publisher

GESIS Datenarchiv für Sozialwissenschaften

Publication year

2023

Terms of data access

Freier Zugang (ohne Registrierung) - Die Forschungsdaten können von jedem direkt heruntergeladen werden.

Related publications

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