Measuring Parties’ Ideological Positions With Manifesto Data

Author:

Dinas Elias1,Gemenis Kostas2

Affiliation:

1. Department of Political and Social Science, European University Institute, Via dei Roccettini 9, I-50014, San Domenico di Fiesole, Florence,

2. Research Institute for Law, Politics and Justice, Keele University, Keele, Staffs, ST5 5BG, UK,

Abstract

Within the rapidly growing literature on positioning political parties along policy dimensions, the rich data series collected by the Comparative Manifestos Project (CMP) has been widely considered as the most systematic and objective source of information. For estimating parties’ positions on the Left—Right dimension alone, several different methods have been proposed which make use of the CMP data. However, unless a new method is proposed, there will seldom be any attempt to check the robustness of the findings across different measurement strategies. In this article, we focus on the parties in Greece, which have been notoriously incorrectly positioned by the ‘standard’ method proposed by the CMP. We contrast the ‘standard’ method with various proposed alternatives and show that the latter outperform the former both in terms of face and convergent validity and in terms of reliability. In addition, we show that this cross-checking is essential, since different methods often lead to diametrically opposite results.

Publisher

SAGE Publications

Subject

Sociology and Political Science

Reference53 articles.

1. Estimating party policy positions: Comparing expert surveys and hand-coded content analysis

2. Benchmarks for text analysis: A response to Budge and Pennings

3. Bosco, Anna ( 2001) ‘Four Actors in Search of a Role: the Southern European Communist Parties’, in P. Nikiforos Diamandouros and Richard Gunther (eds) Parties, Politics, and Democracy in the New Southern Europe, pp. 329-87. Baltimore, MD: Johns Hopkins University Press.

4. The internal analysis of election programmes.

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