Jak měřit stranickou identifikaci?

• Authors: Lukáš Linek

Title variants

EN

How to measure party identification?

• Languages of publication: CS

Abstracts

EN

This study has two key aims. First, it explores the two main methods used in the Czech Republic to operationalize the concept of party identification. Second this study demonstrates the merits of both methods; and on the basis of this research proposes one of these party identification measures for use in future studies. This study builds on the classical conceptualization of party identification developed by the Michigan School, but also utilizes (1) reformulations proposed by the Revisionist School; (2) Macropartisanship theory; (3) the Social Identity approach; and (4) experience of using the party identification measure in Europe. Using the Czech Election Study of 2002 this research shows that estimates of partisanship are influenced by how the survey question is formulated. Thereafter, the relationship between the two main variants used in the Czech Republic is presented. This work reveals that use of a (prior) vote intention item leads to an ‘over estimation’ of partisanship when compared to the other partisan measure. Comparing estimates from the Czech Election Studies of 1996, 2002 and 2006 this article reveals that there is no simple association between party identification and voter turnout. In fact, it is better to think of party identification as having two components: (a) probability to vote; and (b) probability to support a party that elicits a sense of identity from voters.

Keywords

CS

měření; sociologie politiky; politické strany; volební chování

EN

measurement; political sociology; political parties; electoral behavior; party identification; party attachment

Discipline

• SOCIOLOGY: SOCIOLOGY

• Publisher: Institute of Sociology, Czech Academy of Sciences
• Journal: Data a výzkum - SDA Info (Data and Research - SDA Info)
• Year: 2009
• Volume: 3
• Issue: 2
• Pages: 187-210
• Document type: ARTICLE

Contributors

author

Lukáš Linek

• Data a výzkum – SDA Info, redakce, Sociologický ústav AV ČR, v.v.i., Jilská 1, 110 00 Praha 1, Czech Republic