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Political Science Research and Methods is a peer-reviewed journal published by Cambridge University Press, covering Electoral Systems and Political Participation, Media Influence and Politics, Social Media and Politics. Over its lifetime it has published 856 papers, which have received 20,740 citations.
| Publisher | Cambridge University Press |
|---|---|
| Reference style | Numbered Numbered — [1], [2] in the text [1] A. Smith, B. Jones, and C. Lee, A representative article title, Political Science Research and Methods 12 (2023) 45–58.
Formats any DOI in the closest standard style — Political Science Research and Methods has no published style definition, so this is an approximation. No sign-up. |
| Publishes research in | Electoral Systems and Political Participation Media Influence and Politics Social Media and Politics Political Influence and Corporate Strategies Social Policy and Reform Studies |
| ISSN | 2049-8470 |
| Citation impact (2-yr) | 2.78 |
| h-index | 66 |
| i10-index | 365 |
| Open access | Yes — indexed in DOAJ |
| Top institutions publishing here | New York University |
| Journal website | journals.cambridge.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
This article challenges Fixed Effects (FE) modeling as the ‘default’ for time-series-cross-sectional and panel data. Understanding different within and between effects is crucial when choosing modeling strategies. The downside of Random Effects (RE) modeling—correlated lower-level covariates and higher-level residuals—is omitted-variable bias, solvable with Mundlak's (1978a) formulation. Consequently, RE can provide everything that FE promises and…
Empirical analyses in social science frequently confront quantitative data that are clustered or grouped. To account for group-level variation and improve model fit, researchers will commonly specify either a fixed- or random-effects model. But current advice on which approach should be preferred, and under what conditions, remains vague and sometimes contradictory. This study performs a…
Abstract This article examines online recruitment via Facebook, Mechanical Turk (MTurk), and Qualtrics panels in India and the United States. It compares over 7300 respondents—1000 or more from each source and country—to nationally representative benchmarks in terms of demographics, political attitudes and knowledge, cooperation, and experimental replication. In the United States, MTurk offers the cheapest…
To what extent do survey experimental treatment effect estimates generalize to other populations and contexts? Survey experiments conducted on convenience samples have often been criticized on the grounds that subjects are sufficiently different from the public at large to render the results of such experiments uninformative more broadly. In the presence of moderate treatment effect…
Abstract Amazon's Mechanical Turk is widely used for data collection; however, data quality may be declining due to the use of virtual private servers to fraudulently gain access to studies. Unfortunately, we know little about the scale and consequence of this fraud, and tools for social scientists to detect and prevent this fraud are underdeveloped.…
