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Party system dimensionality and perceived quality of representation

Bibliographic Data

ID6315809
AuthorsHolger Reinermann (0000-0001-8628-0960, Johannes Gutenberg University Mainz, corresponding author), Berta Barbet (0000-0003-1733-9011, Universitat Autonòma de Barcelona)
Year2020
Volume26
Issue6
Pages834-846
Publication date2020-11-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueParty Politics (JOURNAL)
Journal identifiersISSN: 1354-0688 • E-ISSN: 1460-3683
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/1354068818823687
OpenAlexW4249273524
LanguageEN
Citations received6
References cited60

Spatial analogies are ubiquitous as a concept structuring political conversation. Assuming that political parties play an important role in shaping the make-up of the political space and that depending on their combination of issue emphases they give rise to more or fewer dimensions of political competition, this article tests whether party system dimensionality leads to a trade-off implied in the relevant literature: when parties constrict the political space too much, certain preferences may not be represented anymore, leaving citizens dissatisfied with the system. At the same time, multidimensional political spaces may become too difficult to navigate and leave citizens confused. Results from hierarchical regression models (based on European Social Survey and manifesto data), however, show that such a trade-off does not exist. Higher dimensionality does not confuse voters. At the same time, there is evidence that it increases satisfaction with the political system, albeit only for the most sophisticated citizens

Conversation · Curse of dimensionality · Epistemology · European Social Survey · Manifesto · Political science · Politics · Quality (philosophy · Representation (politics · Sociology · Structuring · Survey data collection · Communication · Computer Science · Electoral Systems and Political Participation · Law · Mathematics · Political Influence and Corporate Strategies · Populism, Right-Wing Movements · Psychology · Social Psychology · Artificial Intelligence

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Unique citing works6
Citations per year0,86
Citation span2019 - 2026 (8)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 6

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