An empirical evaluation of explanations for political system support (Record no. 524664)
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| fixed length control field | 01756nam a22001457a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 240110b ||||| |||| 00| 0 eng d |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Broderstad, Troy Saghaug |
| 245 ## - TITLE STATEMENT | |
| Title | An empirical evaluation of explanations for political system support |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc | Political Research Quarterly |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 76(3), Sep, 2023: p.1542-1554 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | The 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. – Reproduced https://journals.sagepub.com/doi/full/10.1177/10659129231156388 |
| 773 ## - HOST ITEM ENTRY | |
| Main entry heading | Political Research Quarterly |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) | |
| Subject DIP | POLITICS AND GOVERNMENT |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Item type | Articles |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Permanent location | Current location | Date acquired | Serial Enumeration / chronology | Barcode | Date last seen | Koha item type |
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| Indian Institute of Public Administration | Indian Institute of Public Administration | 2024-01-10 | 76(3), Sep, 2023: p.1542-1554 | AR130493 | 2024-01-10 | Articles |