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Opposition to LGBT rights remains a contemporary fixture within the United States in spite of increasingly liberalizing attitudes toward LGBT individuals. In this paper, I argue that a potentially overlooked factor driving this opposition is rural identity—or an individual's psychological attachment to a rural area. Using data from the 2020 ANES, I find that rural identity predicts less favorable estimations of LGBT individuals. Rural identifiers are also less likely to support pro-LGBT policy measures than nonrural identifiers. Nevertheless, I find the magnitude of the effects of rural identity on anti-LGBT views to be surprisingly small. It is also the case that, on average, rural identifiers exhibit net-positive estimations of LGBT individuals and are broadly supportive of LGBT rights, suggesting that elected officials enacting anti-LGBT legislation in rural areas of the United States are potentially out of step with the preferences of their electorate. These findings also have implications for what it means to hold a rural identity beyond a generalized animosity toward urban areas, and for understanding urban-rural divergences in US public opinion on issues such as LGBT rights. [ABSTRACT FROM AUTHOR]

Public opinion research often identifies evangelical Christians based on a double-barreled, yes-or-no, question asking respondents whether they are an evangelical or born-again Christian. This paper uses a survey experiment to demonstrate the implications of this measurement strategy. Among White Americans, more than one-third of those whom researchers classify as evangelical using the standard double-barreled question actually eschew the evangelical label; the same is true for just under two-thirds of African Americans. Additionally, these born-again non -evangelical Christians hold less conservative political outlooks compared to the self-identified evangelicals with whom they are grouped, and, in fact, oftentimes more closely resemble those who reject both the evangelical and born-again labels. Despite this, the double-barreled identification question produces a White "evangelical or born-again" group that looks politically similar to a composite "evangelical" or "born-again" group based on two questions asking about each identity separately. Finally, important differences appear across race, suggesting that religious and political histories affect how people interpret and respond to double-barreled questions. [ABSTRACT FROM AUTHOR]

Trust in one's fellow citizens and in politicians are both conducive to well-functioning government. Beyond their separate importance, it is a long-standing notion that generalized social trust and political trust are connected in a mutually reinforcing relationship that further undergirds democratic governance. While it is well established that social trust and political trust are robustly positively associated at the individual level, there is much less compelling evidence regarding the causal nature of this relationship. Previous analyses have been unable to adequately rule out confounding and correct for reverse causality. This paper tackles these challenges through data and a research design close to ideally suited for addressing the causal status of the relationship. Using a 20-wave individual-level panel survey from Sweden analyzed using a dynamic panel model, we find evidence for a relatively strong positive causal effect of political trust on social trust, but little evidence for the reverse relationship. [ABSTRACT FROM AUTHOR]

While the migration of public opinion surveys to online platforms has often lowered costs and enhanced timeliness, it has also created new vulnerabilities. Respondents completing the same survey multiple times from different IP addresses, overseas workers posing as Americans, and algorithms designed to complete surveys are among the threats that have emerged in this new era. This paper is an attempt to measure the prevalence of such respondents and their impact on survey data quality, while demonstrating methodological approaches for doing so. Prior studies typically examine just one platform and rely on closed-ended questions and/or paradata (e.g. IP addresses) to identify untrustworthy interviews. This is problematic because such data are relatively easy for bad actors to fake. We carried out a large-scale study with an eye toward overcoming these limitations. This study examines the threat of insincere respondents using large samples from six online platforms: three opt-in survey panels, two address-recruited survey panels, and a crowdsourced sample. Rather than relying solely on closed-ended responses, we incorporated an analysis of 375,834 open-ended answers. By their very nature, open-ended questions offer a more sensitive indicator of whether a respondent is genuine or not. The study found that the incidence of insincere respondents varied significantly by the type of online sample. Critically, insincere respondents did not just answer at random, but rather they tended to select positive answer choices, introducing a small, systematic bias into estimates like presidential approval. Two common data-quality checks failed to detect most insincere respondents. [ABSTRACT FROM AUTHOR]