Rahsaan Maxwell, Efrén O. Pérez, Stephanie Zonszein
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引用次数: 0
Abstract
Abstract As the number of people of color (PoC) grows in the United States, a key question is how partisanship will develop among this important electoral group. Yet many open questions remain about PoC partisanship, due to limited availability of panel data, a lack of sensitive instrumentation, and small samples of PoC in most public opinion surveys. This brief report leverages a unique panel of African American (N = 650) and Latino (N = 650) eligible voters, before and after the 2020 Presidential Election between Democrat Joe Biden and Republican Donald Trump. Using measures that tap expressive partisan, racial, and national identity attachments, we find that Biden’s electoral victory significantly intensified partisan identity among his Democratic PoC supporters, relative to PoC who were not Democrats and supported Trump. We do not find significant changes in racial or national identities. Our results advance research on PoC’s partisanship.
期刊介绍:
The Journal of Experimental Political Science (JEPS) features cutting-edge research that utilizes experimental methods or experimental reasoning based on naturally occurring data. We define experimental methods broadly: research featuring random (or quasi-random) assignment of subjects to different treatments in an effort to isolate causal relationships in the sphere of politics. JEPS embraces all of the different types of experiments carried out as part of political science research, including survey experiments, laboratory experiments, field experiments, lab experiments in the field, natural and neurological experiments. We invite authors to submit concise articles (around 4000 words or fewer) that immediately address the subject of the research. We do not require lengthy explanations regarding and justifications of the experimental method. Nor do we expect extensive literature reviews of pros and cons of the methodological approaches involved in the experiment unless the goal of the article is to explore these methodological issues. We expect readers to be familiar with experimental methods and therefore to not need pages of literature reviews to be convinced that experimental methods are a legitimate methodological approach. We will consider longer articles in rare, but appropriate cases, as in the following examples: when a new experimental method or approach is being introduced and discussed or when novel theoretical results are being evaluated through experimentation. Finally, we strongly encourage authors to submit manuscripts that showcase informative null findings or inconsistent results from well-designed, executed, and analyzed experiments.