Understanding Political Culture and Behaviour through Longitudinal Data in Alberta
Dados Bibliográficos
| ID | 6237429 |
|---|---|
| Autores | Feodor Snagovsky (0000-0001-6452-1516, University of Alberta, autor correspondente), Jared Wesley (0000-0002-0001-0060, University of Alberta), Evan Walker (0009-0008-2577-4762, University of Alberta) |
| Ano | 2025 |
| Páginas | 1-13 |
| Data de publicação | 2025-09-04 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | Canadian Journal of Political Science (JOURNAL) |
| Identificadores do periódico | ISSN: 0008-4239 • E-ISSN: 1744-9324 |
| Editora | Cambridge University Press (CUP) (PUBLISHER) |
| DOI | 10.1017/s0008423925100656 |
| OpenAlex | W4413987167 |
| Idioma | EN |
| Referências citadas | 13 |
The Viewpoint Alberta Consolidated Dataset is a novel resource for understanding political attitudes and behaviours in Alberta which includes over 10,000 interviews across nine waves in 5 years. The Viewpoint dataset combines both cross-sectional and longitudinal (panel) data on Albertans’ attitudes towards political parties, federalism, democracy, social movements, energy transitions, media and a range of issue areas. We demonstrate some of these potential applications in this note. To our knowledge, this dataset is the largest and most comprehensive dataset of political attitudes in a single province that has ever been publicly released. This matters because we know much less about provincial politics than national politics in Canada, despite many of the most interesting and important political developments taking place at the provincial level. Furthermore, by following the same respondents over multiple periods of time, we can develop a much greater understanding of individual-level changes across a range of key issue domains
Longitudinal data · Political culture · Political economy · Political science · Politics · Sociology · Computational and Text Analysis Methods · Demography · Electoral Systems and Political Participation · Law · Policy Transfer and Learning
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| Velocidade de citação | historical |
|---|---|
| Altamente citado | Não |