The DOI matches its Crossref record.
Public Opinion and American Democracy
Abstract
Course Description and Goals This course is designed to teach students about the empirical study of public opinion. As such, the course will both examine public attitudes towards a wide variety of issues while also teaching a variety of statistical techniques. This course is not, however, a mathematical course, at least not as a math department would teach it. We will focus only on those statistical methods that are directly relevant to the study of public opinion. There is not an assumption of a large amount of previous mathematical knowledge, but a desire to learn about statistics is a must. My goal is that at the conclusion of the course, all students will have a solid basis of understanding of the statistics necessary to interpret public opinion.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Testing Theories of American Politics: Elites, Interest Groups, and Average Citizens
Gilens, M., & Page, B. I. (2014) · Perspectives on Politics · doi:10.1017/s1537592714001595 · Cited by 2,700
The Dissemination of Culture: A Model with Local Convergence and Global Polarization
Axelrod, R. (1997) · Journal of Conflict Resolution · doi:10.1177/0022002797041002001 · Cited by 1,918
The Political Foundations of Democracy and the Rule of the Law
Weingast, B. R. (1997) · American Political Science Review · doi:10.2307/2952354 · Cited by 1,750
Baum, M. A., & Potter, P. B. K. (2008) · Annual Review of Political Science · doi:10.1146/annurev.polisci.11.060406.214132 · Cited by 600
MISPERCEPTIONS ABOUT PERCEPTUAL BIAS
Gerber, A., & Green, D. (1999) · Annual Review of Political Science · doi:10.1146/annurev.polisci.2.1.189 · Cited by 494
Metadata
- Authors
- Hacker, A., & Key, V. O.
- Venue
- The Yale Law Journal
- Publisher
- JSTOR
- Published
- 1962-07
- Volume
- 71
- Issue
- 8
- Pages
- 1583
- ISSN
- 0044-0094 (ISSN-L)
- OpenAlex
- W2796195638
- Cited by
- 497
- References
- 0
- FWCI
- 94.95
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Public Opinion and American Democracy. https://app.cochat.ai/papers/10.2307/794507
- The paper
- Hacker, A., & Key, V. O. (1962). Public Opinion and American Democracy. The Yale Law Journal. https://doi.org/10.2307/794507
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
