Measuring attitudes as a complex system: Structured thinking and support for the Canadian carbon tax.
Abstract: We test a method for applying a network-based approach to the study of political attitudes. We use cognitive-affective mapping, an approach that visually represents attitudes as networks of concepts that an individual associates with a given issue. Using a software tool called Valence, we...
| Publicado en: | Politics & the Life Sciences Vol. 40; no. 2; pp. 179 - 202 |
|---|---|
| Autores principales: | , , , , |
| Formato: | Artículo |
| Publicado: |
Cambridge University Press
Sep2021
|
| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=153505428&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 153505428 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 07309384 PFC jtl: Politics & the Life Sciences issn: 07309384 maglogo: N pubinfo: dt: Sep2021 vid: 40 iid: 2 pid: 15979 pub: Cambridge University Press artinfo: ui: 153505428 10.1017/pls.2021.16 ppf: 179 ppct: 23 formats: tig: atl: Measuring attitudes as a complex system: Structured thinking and support for the Canadian carbon tax. aug: au: Mansell, Jordan Mock, Steven Rhea, Carter Tecza, Adrienne Piereder, Jinelle affil: Western University, Network for Economic and Social Trends University of Waterloo, Balsillie School of International Affairs Université de Montréal Colorado Center for Civic Learning and Engagement University of Waterloo su: Systems theory Political attitudes Carbon taxes Undirected graphs Software development tools Concept mapping sug: subj: Systems theory Political attitudes Custom Computer Programming Services Computer systems design and related services (except video game design and development) Marketing Research and Public Opinion Polling Carbon taxes Undirected graphs Software development tools Concept mapping keyword: carbon tax cognitive-affective mapping latent properties network analysis political attitudes political ideology carbon tax cognitive-affective mapping latent properties network analysis political attitudes political ideology ab: Abstract: We test a method for applying a network-based approach to the study of political attitudes. We use cognitive-affective mapping, an approach that visually represents attitudes as networks of concepts that an individual associates with a given issue. Using a software tool called Valence, we asked a sample of Canadians (n = 111) to draw a cognitive-affective map (CAM) of their views on the carbon tax. We treat these networks as a series of undirected graphs and examine the extent to which support for the tax can be predicted based on each graph's emotional and structural properties. We find evidence that the emotional but not the structural properties significantly predict individuals' attitudes toward the carbon tax. We also find associations between CAMs' structural properties (density and centrality) and several measures of political interest. Our results provide preliminary evidence for the efficacy of CAMs as a tool for studying political attitudes. The study data are available at https://osf.io/qwpvd/?view_only=6834a1c442224e72bf45e7641880a17f pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
|---|