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dc.contributor.authorSaghaug Broderstad, Troy
dc.date.accessioned2023-02-23T11:00:30Z
dc.date.available2023-02-23T11:00:30Z
dc.date.issued2023-02-09
dc.description.abstractThe literature that examines cross-national satisfaction with democracy seeks to discover a set of predictors that are associated with evaluations of regime performance. The most common way of examining the determinants of satisfaction with democracy is null hypothesis significance testing. While this approach has merit, this paper argues that the literature, as it stands, can be complemented to gain additional insights. To date, little research has focused on what variables best predict satisfaction. This is important because it helps guide researchers when determining which features to give attention to when devising theories about what causes (changes) in satisfaction. In this paper, I use machine learning algorithms to determine and evaluate the predictive power of variables identified as important in literature. Drawing on the sixth round of the European Social Survey, I find satisfaction with the economy, procedural fairness and responsiveness to be the most important predictors of satisfaction with democracy. These findings justify a stronger focus on the latter two topics in future studies of satisfaction with democracy, which has received little attention in the scholarly literature.en_US
dc.identifier.citationSaghaug Broderstad. An Empirical Evaluation of Explanations for Political System Support. Political research quarterly. 2023en_US
dc.identifier.cristinIDFRIDAID 2126973
dc.identifier.doi10.1177/10659129231156388
dc.identifier.issn1065-9129
dc.identifier.issn1938-274X
dc.identifier.urihttps://hdl.handle.net/10037/28602
dc.language.isoengen_US
dc.publisherSage Publicationsen_US
dc.relation.journalPolitical research quarterly
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2023 The Author(s)en_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0en_US
dc.rightsAttribution-NonCommercial 4.0 International (CC BY-NC 4.0)en_US
dc.titleAn Empirical Evaluation of Explanations for Political System Supporten_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
Except where otherwise noted, this item's license is described as Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)