The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Attitude Attribution: A Group Basis for Political Reasoning
Abstract
This article shows that citizens can estimate what politically strategic groups—liberals and conservatives, Democrats and Republicans, and blacks and whites—stand for on major issues. These attitude attributions follow from a simple calculus, a likability heuristic. This heuristic is rooted in people's likes and dislikes of political groups. Thanks to this affective calculus, many in the mass public are able to estimate who stands for what politically, notwithstanding shortfalls in information and information processing.
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Citations
Cites
The principle of congruity in the prediction of attitude change.
Osgood, C. E., & Tannenbaum, P. H. (1955) · Psychological Review · doi:10.1037/h0048153 · Cited by 1,700
Cited by
Lupia, A. (1994) · American Political Science Review · doi:10.2307/2944882 · Cited by 1,850
Party Over Policy: The Dominating Impact of Group Influence on Political Beliefs.
Cohen, G. L. (2003) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.85.5.808 · Cited by 1,400
Choosing Preferences by Constructing Institutions: A Cultural Theory of Preference Formation
Wildavsky, A. (1987) · American Political Science Review · doi:10.2307/1960776 · Cited by 1,021
How are Foreign Policy Attitudes Structured? A Hierarchical Model
Hurwitz, J., & Peffley, M. (1987) · American Political Science Review · doi:10.2307/1962580 · Cited by 807
Political Parties, Motivated Reasoning, and Public Opinion Formation
Leeper, T. J., & Slothuus, R. (2014) · Political Psychology · doi:10.1111/pops.12164 · Cited by 722
Metadata
- Authors
- Brady, H. E., & Sniderman, P. M.
- Venue
- American Political Science Review
- Publisher
- Cambridge University Press (CUP)
- Published
- 1985-12-01
- Volume
- 79
- Issue
- 4
- Pages
- 1061-1078
- ISSN
- 0003-0554 (ISSN-L)
- 1537-5943
- OpenAlex
- W1978544641
- Cited by
- 558
- References
- 1
- FWCI
- 34.75
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
