Forensic science is undergoing an unprecedented period of reform. Wrongful convictions and errors of impunity have been attributed largely to forensic evidence, and concerns over the scientific foundations of many forensic disciplines have been raised in key official reports. In these turbulent times, it becomes particularly interesting to understand how forensic evidence is understood by the general public. Is it idealized? Are its inherent limitations recognized? The present study seeks to contribute to this growing body of work by addressing two main questions: (1) How does the general public perceive forensic science?; (2) How correct are individuals in their evaluations of specific types of forensic evidence? A survey of the Israeli public reveals considerable trust in the ability of forensics to reliably identify the perpetrator of a crime, although less trust is expressed when questions lead respondents to consider specific stages in the forensic process. Furthermore, respondents were often incorrect in their evaluations of the reliability of specific types of forensic evidence. The implications of these findings for police legitimacy, the practice of the criminal justice system, and the future study of attitudes toward forensic evidence, are discussed.

Emerging health crises challenge and overwhelm federal political systems (Greer et al. 2020, Global Public Health 15: 1413–6). Within the context of COVID-19, states and governors took charge in the absence of a coordinated federal response. The result was uneven policy responses and variance in health-related and economic outcomes. While existing research has explored public evaluations of state COVID-19 policies, we explore primary care physicians’ trust in state government for handling the pandemic, as well as their evaluations of their state government’s treatment responsibility for the pandemic and their state’s policy response. We find that general preferences for the role of the federal/state government in addressing the pandemic are shaped by individual-level physician partisanship. Specific evaluations of state policy responsiveness are influenced by whether physicians’ partisan preferences matched their governor. We also find, however, that Republican physicians were critical of Republican governors and physicians were less partisan than the general public. At least within public health, there are limits to the influence of partisan identity on expert (physician) political evaluations.

Political scientists have largely come to a consensus that “most citizens are politically uninformed” (Delli Carpini and Keeter 1997), but even with increased attention to state-level representation and electoral behavior, political scientists know surprisingly little themselves regarding what Americans know about state politics. Past studies of state political knowledge examine narrow domains of knowledge and make few comparisons between individuals’ understanding of national and state politics. To provide a more comprehensive account of Americans’ state political knowledge, I conducted a novel national survey that included over 30 political knowledge questions. In a descriptive and exploratory analysis, I show Americans demonstrated more knowledge about who their Governor is but less knowledge about who represents them in the state legislature, state government institutions, and the state economy, particularly compared to their knowledge of federal politics. The different levels of political knowledge across different domains and levels of government raise concerns for statehouse democracy and should be considered before testing theories at the state level. To guide future research and surveys, I identify political knowledge questions that discriminate well between those who know little, some, and a lot about state politics across different domains of political knowledge.

This article concludes an exchange on developing and improving longitudinal estimates of state-level public opinion in the United States by introducing the U.S. Partisanship and Presidential Approval Dataset, which combines more than 1.1 million survey responses from 1948 to 2020 into a single harmonized “mega poll.”

This article introduces the State Executive Approval Database, a dataset of gubernatorial approval ratings that updates and adds to data previously collected by Beyle et al. In addition to the survey marginals, the dataset presents continuous quarterly and annual measures of the latent level of governor approval that are amenable for time series analysis. After evaluating how survey data availability varies across states and over time, I use the data to evaluate whether governors receive a honeymoon. While new governors do not have higher than expected levels of approval, the public expresses comparatively low levels of disapproval for new governors. This honeymoon is largely restricted to their first quarter in office and only occurs when they are elected to their first term. Governors who take office after their predecessor resigned get a slightly longer and more sustained reprieve from disapproval. Governor approval is also significantly shaped by unemployment levels in their state. These data will provide scholars with new opportunities to study accountability and representation at the state level.

Donald Trump’s surprising level of support among U.S. Latina/o voters in 2016 and his improved performance in the 2020 election posed a puzzle for Latina/o politics scholars given his stridently anti-immigrant agenda. Although scholars have acknowledged the political gender gap between Latinas and Latino men, few studies have outlined the theoretical basis or explored the empirical existence of gender differences in Latina/o immigration enforcement attitudes. Building on the Latina politics literature documenting Latinas’ greater engagement in solidarity work with immigrants and their greater desire for cultural transmission and the maintenance of pan-ethnic identity, I test two hypotheses. The first (the Latina/o gender hypothesis) postulates that Latinas will exhibit more liberal attitudes on matters of immigration enforcement relative to Latino men. The second (the immigrant identity hypothesis) postulates that Latinas are more likely to rely on their sense of commonality with immigrants in the formation of their immigration enforcement attitudes. Bivariate and multivariate analyses of the 2020 Collaborative Multiracial Postelection Survey support both hypotheses, which suggests not only that immigration attitudes among Latinas and Latino men are meaningfully distinct, but also that there are important structural differences underlying Latina/o beliefs in this policy area.

Could an individual’s perception of the possibility of a future ecological crisis be linked to their level of political trust? Studies of environmental attitudes have identified political trust as an important predictor of support for environmental taxation or risk perceptions surrounding specific local environmental hazards, but less is known about its role when environmental risks are perceived as diffuse and distant. Using original survey data from Ecuador, this article finds that political distrust predicts heightened ecological crisis perceptions and that higher educational attainment intensifies this relationship. A follow-up analysis of the AmericasBarometer’s Ecuador survey shows that political distrust also predicts higher concern about climate change. These findings suggest that when evaluations of political institutions reflect perceptions of environmental risks, individuals blame the government for environmental failures. The implications of this study are particularly relevant for political institutions in developing economies, where the public sector often spearheads development efforts.

To fully understand state policy outcomes or elections in the US, we need valid over-time measures of state-level public opinion. We contribute to the research on measuring state public opinion in two ways. First, we respond to Berry, Fording, Hanson, and Crofoot’s (BFHC) critique of Enns and Koch’s measure of state policy mood. We show that when BFHC’s analysis is performed using the same states and examining annual change, it validates the Enns and Koch measure and raises questions about the Berry, Ringquist, Fording, and Hanson measure. Second, we generate a new measure of state policy mood building on Enns and Koch’s approach. The new measure has even better properties than the previous measure and relates to state presidential vote and state policy liberalism in similar ways to Caughey and Warshaw’s measure of state economic liberalism. We conclude with recommendations for using the various direct measures of state public opinion.

This article analyses the distribution of staff resources between party offices. While earlier studies have compared central and parliamentary offices, this study also includes ministerial offices. To capture fully the differences in staffing, I examine both the quantity (staff size) and quality (education, experience, tasks) of their staffs. The empirical section is based on a cross-sectional analysis of original survey data collected among political staffers in Belgium and the Netherlands (N = 1,009). While the Belgian cabinet system includes extensive ministerial offices, ministerial staff is limited in the Dutch non-cabinet system. The results show how this institutional difference shapes parties' internal distribution of resources. While the party in parliament does not have a clear staffing advantage over the party in central office in Belgium, they are both eclipsed by the large, highly qualified party in the executive. In the Netherlands, the impact of ministerial offices is negligible and the staff of the party in parliament is both larger and more qualified than the staff of the party in central office.

While the effects of climate change will impact most Americans, they will likely have a disproportionate influence on the socioeconomic well-being of marginalized communities. Few researchers, however, have investigated public support for policies aimed at ameliorating climate-related disparities. Fewer still have considered how political and (critically) pre-political psychological dispositions might shape environmental justice concern (EJC) and subsequently influence policy support—both of which, I argue, could present roadblocks for effective climate communication and policy action. In this registered report, I (1) propose and validate a new measure of EJC, (2) explore its political correlates and pre-political antecedents, and (3) test for a link between EJC and policy support. In addition to psychometrically validating the EJC scale, I find that pre-political value orientations are associated with EJC, which, in turn, mediates the effects of pre-political values on taking action to mitigate the unequal effects of climate change.

While many scholars and analysts have observed a decline in civility in recent years, there have been few examinations of how political, economic, and institutional structures may partially explain inter-state differences in these trends. We suggest three potential explanations: (1) institutional structures, such as legislative professionalism and gubernatorial power, have created different contexts in which legislators build and maintain inter-personal relationships; (2) partisan competition has led to less bipartisan cooperation and contributed to strained relationships between members of different parties; and, (3) economic inequity and change has contributed to economic anxiety among citizens, contributing to conflict in legislative bodies as elected officials attempt to navigate emerging policy challenges. To test these explanations, we develop an innovative measure of civility using a national survey of lobbyists and a partial Multilevel Regression and Poststratification (MRP) design. Findings suggest that there is some validity to all three explanations, and signifying that civility is at least partially a result of structural issues.

The COVID-19 pandemic imposed new constraints on empirical research, and online data collection by social scientists increased. Generalizing from experiments conducted during this period of persistent crisis may be challenging due to changes in how participants respond to treatments or the composition of online samples. We investigate the generalizability of COVID era survey experiments with 33 replications of 12 pre-pandemic designs, fielded across 13 quota samples of Americans between March and July 2020. We find strong evidence that pre-pandemic experiments replicate in terms of sign and significance, but at somewhat reduced magnitudes. Indirect evidence suggests an increased share of inattentive subjects on online platforms during this period, which may have contributed to smaller estimated treatment effects. Overall, we conclude that the pandemic does not pose a fundamental threat to the generalizability of online experiments to other time periods.

Scholars, the media, and ordinary people alike express alarm at the apparent loathing between Democrats and Republicans in the mass public. However, the evidence of such loathing typically comes from survey items that measure attitudes toward the Democratic and Republican Parties, rather than attitudes toward ordinary partisans. Using a nationally representative survey, I find that Democrats and Republicans have substantially more positive feelings toward ordinary people belonging to the opposing party than they do toward politicians in the opposing party and the opposing party itself. These results indicate that research relying on measures of feelings toward the opposing “Party” vastly overstates levels of partisan animosity in the American public and demonstrate the need to distinguish between attitudes toward party elites and ordinary partisans in future research.

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. We first analyze 38 studies and show that this fraud is not new, but has increased recently. We then show that these fraudulent respondents provide particularly low-quality data and can weaken treatment effects. Finally, we provide two solutions: an easy-to-use application for identifying fraud in the existing datasets and a method for blocking fraudulent respondents in Qualtrics surveys.