Download full text
(external source)
Citation Suggestion
Please use the following Persistent Identifier (PID) to cite this document:
https://doi.org/10.1371/journal.pone.0240671
Exports for your reference manager
Channels of participation: Political participant types and personality
[journal article]
Abstract This article employs a person-centred approach to test the relationship between personality traits and empirically defined political participant types. We argue that it is more appropriate to focus on types of participants to test the relationship between personality and political participation than... view more
This article employs a person-centred approach to test the relationship between personality traits and empirically defined political participant types. We argue that it is more appropriate to focus on types of participants to test the relationship between personality and political participation than on individual modes or latent dimensions of political participation. Our reasoning is that the person-centred approach allows us to learn more about how and why citizens combine different modes of participation from a tool kit of available political activities to achieve a goal as a function of their personality. We rely on data collected by the German Longitudinal Election Study 2017 (GLES, ZA6801). On the basis of a set of survey questions enquiring on political activities that people take part in, Latent Class Analysis allows us to identify three political participant types (inactives, voting specialists, and complete activists). The 10-item Big Five Inventory (BFI-10) measures respondents’ personality traits. Our findings suggest that conscientious people are more likely to affiliate with the voting specialists and extroverts with the more active participant types in Germany.... view less
Keywords
Federal Republic of Germany; participant; political participation; personality traits; political activity; political interest
Classification
Social Psychology
Political Process, Elections, Political Sociology, Political Culture
Free Keywords
ZA6801 v4.0.1: Nachwahl-Querschnitt (GLES 2017)
Document language
English
Publication Year
2020
Page/Pages
p. 1-13
Journal
PLOS ONE, 15 (2020) 10
ISSN
1932-6203
Status
Published Version; peer reviewed