The DOI matches its Crossref record; 85 of the 85 references it cites were found in a registry or an index.
E XPERIMENTAL M ETHODS IN P OLITICAL S CIENCE
Abstract
▪ Abstract This article reviews the use of experiments in political science. The beginning section offers an overview of experimental design and measures, as well as threats to internal and external validity, and discusses advantages and disadvantages to the use of experimentation. The number and placements of experiments in political science are reviewed. The bulk of the essay is devoted to an examination of what we have learned from experiments in the behavioral economics, political economy, and individual choice literatures.
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
Cites
Prospect Theory: An Analysis of Decision under Risk
Kahneman, D., & Tversky, A. (1979) · Econometrica · doi:10.2307/1914185 · Cited by 48,524
Prospect theory: An analysis of decision under risk
Kahneman, D., & Tversky, A. (1988) · Decision, Probability and Utility · doi:10.1017/cbo9780511609220.014 · Cited by 32,474
Judgment under Uncertainty: Heuristics and Biases
Tversky, A., & Kahneman, D. (1975) · Utility, Probability, and Human Decision Making · doi:10.1007/978-94-010-1834-0_8 · Cited by 22,650
Axelrod, R., & Hamilton, W. D. (1981) · Science · doi:10.1126/science.7466396 · Cited by 20,065
Advances in prospect theory: Cumulative representation of uncertainty
Tversky, A., & Kahneman, D. (1992) · Journal of Risk and Uncertainty · doi:10.1007/bf00122574 · Cited by 15,467
A Theory of Fairness, Competition, and Cooperation
Fehr, E., & Schmidt, K. M. (1999) · The Quarterly Journal of Economics · doi:10.1162/003355399556151 · Cited by 11,264
Judgment under Uncertainty: Heuristics and Biases
(1982) · doi:10.1017/cbo9780511809477 · Cited by 8,240
Kahneman, D., & Tversky, A. (1984) · American Psychologist · doi:10.1037/0003-066x.39.4.341 · Cited by 6,544
Nielsen, R. P., & Axelrod, R. (1985) · The Academy of Management Review · doi:10.2307/257983 · Cited by 6,321
Judgment Under Uncertainty: Heuristics and Biases.
Shafer, G. R., Kahnerman, D., Slovic, P., & Tversky, A. (1984) · Journal of the American Statistical Association · doi:10.2307/2288362 · Cited by 5,657
Cited by
Demand Effects in Survey Experiments: An Empirical Assessment
MUMMOLO, J., & PETERSON, E. (2019) · American Political Science Review · doi:10.1017/s0003055418000837 · Cited by 548
Are Survey Experiments Externally Valid?
BARABAS, J., & JERIT, J. (2010) · American Political Science Review · doi:10.1017/s0003055410000092 · Cited by 481
Segregation by Design: Local Politics and Inequality in American Cities
Trounstine, J. (2018) · doi:10.1017/9781108555722 · Cited by 428
International law, military effectiveness, and public support for drone strikes
Kreps, S. E., & Wallace, G. P. R. (2016) · Journal of Peace Research · doi:10.1177/0022343316657405 · Cited by 128
#PolarizedFeeds: Three experiments on polarization, framing, and social media
Banks, A., Calvo, E., Karol, D., & Telhami, S. (2021) · The International Journal of Press/Politics · doi:10.1177/1940161220940964 · Cited by 81
Metadata
- Authors
- McDermott, R.
- Venue
- Annual Review of Political Science
- Publisher
- Annual Reviews
- Published
- 2002-06
- Volume
- 5
- Issue
- 1
- Pages
- 31-61
- ISSN
- 1094-2939 (ISSN-L)
- 1545-1577
- OpenAlex
- W2140404194
- Cited by
- 285
- References
- 85
- FWCI
- 8.16
- 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: E XPERIMENTAL M ETHODS IN P OLITICAL S CIENCE. https://app.cochat.ai/papers/10.1146/annurev.polisci.5.091001.170657
- The paper
- McDermott, R. (2002). E XPERIMENTAL M ETHODS IN P OLITICAL S CIENCE. Annual Review of Political Science. https://doi.org/10.1146/annurev.polisci.5.091001.170657
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.
