Are U.S. Professionals and Managers More Left Than Blue-Collar Workers? An Analysis of the General Social Survey, 1974 to 2018

Social science interest in professionals and managers as a left- and liberal-trending stratum has increased in recent years. Using General Social Survey data over a 44-year period, the authors examine 15 attitudes spanning social, economic, and political identity liberalism. On nearly all attitudes, professionals and managers have trended in a liberal direction, have liberalized more quickly than blue-collar workers, and are either as or more liberal than blue-collar workers. The authors find that the higher levels of education among professionals and managers, their tendency to adopt nonauthoritarian outlooks, and their lower propensity to identify with fundamentalist religion mediate their more liberal trends vis-à-vis blue-collar workers. Conversely, their higher relative incomes suppress the extent of their economic and criminal justice liberalism. The authors’ theorization links changes in the macro-economy to growing gaps in the composition of the two strata and the activities of politicians and parties to consolidate emerging political differences.

“The Looming, Crazy Stalker Coronavirus”: Fear Mongering, Fake News, and the Diffusion of Distrust

The authors explore media distrust among a sample of precarious and gig workers interviewed during the COVID-19 pandemic. Although these left-leaning respondents initially increased their media consumption at the outset of the pandemic, they soon complained of media sensationalism and repurposed a readily available cultural tool: claims of “fake news.” As a result, these unsettled times have resulted in a “diffusion of distrust,” in which an elite conservative discourse of skepticism toward the media has also become a popular form of compensatory control among self-identified liberals. Perceiving “fake news” and media sensationalism as “not good” for their mental health, respondents also reported experiencing media burnout and withdrawing from media consumption. As the pandemic passes its one-year anniversary, this research has implications for long-term media coverage on COVID-19 and ongoing media trust and consumption.

Has the Credibility of the Social Sciences Been Credibly Destroyed? Reanalyzing the “Many Analysts, One Data Set” Project

In 2018, Silberzahn, Uhlmann, Nosek, and colleagues published an article in which 29 teams analyzed the same research question with the same data: Are soccer referees more likely to give red cards to players with dark skin tone than light skin tone? The results obtained by the teams differed extensively. Many concluded from this widely noted exercise that the social sciences are not rigorous enough to provide definitive answers. In this article, we investigate why results diverged so much. We argue that the main reason was an unclear research question: Teams differed in their interpretation of the research question and therefore used diverse research designs and model specifications. We show by reanalyzing the data that with a clear research question, a precise definition of the parameter of interest, and theory-guided causal reasoning, results vary only within a narrow range. The broad conclusion of our reanalysis is that social science research needs to be more precise in its “estimands” to become credible.

Remote or Removed: Predicting Successful Engagement with Online Learning during COVID-19

Using data from a spring 2020 survey of nearly 10,000 parents of elementary school parents in one large southeastern public school district, the authors investigate predictors of elementary school student engagement during the initial period of pandemic remote learning. The authors hypothesize that household material and technological resources, school programming and instructional strategies, and family social capital contribute to student engagement in remote learning. The analyses indicate that even after controlling for rich measures of family socioeconomic resources, students with access to high-speed Internet and Internet-enabled devices have higher levels of engagement. Exposure to more diverse socioemotional and academic learning opportunities further predicts higher levels of engagement. In addition, students whose families remained socially connected to other students’ families were more likely to engage online.

Christian Nationalism and Views of Immigrants in the United States: Is the Relationship Stronger for the Religiously Inactive?

Previous research has shown that Christian nationalism is linked to nativism and immigrant animus, while religious service attendance is associated with pro-immigrant views. The findings highlight the importance of distinguishing between religious ideologies and practices when considering how religion affects politics. Using a national sample of U.S. adults, we analyze immigrant views by measuring levels of agreement or disagreement that undocumented immigrants from Mexico are “mostly dangerous criminals.” We find that Christian nationalism is inversely related to pro-immigrant views for both the religiously active and inactive. However, strongly pro-immigrant views are less likely and anti-immigrant views are more likely among strong Christian nationalists who are religiously inactive compared with strong Christian nationalists who are religiously active. These results illustrate how religious nationalism can weaken tolerance and heighten intolerance most noticeably when untethered from religious communities.

The Relevance of Inequality Research in Sociology for Inequality Reduction

Social inequality is a central topic of research in the social sciences. Decades of research have deepened our understanding of the characteristics and causes of social inequality. At the same time, social inequality has markedly increased during the past 40 years, and progress on reducing poverty and improving the life chances of Americans in the bottom half of the distribution has been frustratingly slow. How useful has sociological research been to the task of reducing inequality? The authors analyze the stance taken by sociological research on the subject of reducing inequality. They identify an imbalance in the literature between the discipline’s continual efforts to motivate the plausibility of large-scale change and its lesser efforts to identify feasible strategies of change either through social policy or by enhancing individual and local agency with the potential to cumulate into meaningful progress on inequality reduction.

Postsecondary Educational Attainment and Health among Younger U.S. Adults in the “College-for-All” Era

Population-health research has neglected differentiation within postsecondary educational attainments. This gap is critical to understanding health inequality because college experience with no degree, vocational/technical certificates, and associate degrees may affect health differently. We examine health across detailed postsecondary attainment levels. We analyze data on 14,750 respondents in Waves I and IV of the nationally representative Add Health panel spanning adolescence to ages 26 to 34. Multivariate regression and counterfactual approaches to minimize the impact of confounders estimate multiple health outcomes across postsecondary attainment levels. Compared to high school diplomas, we find significant returns to bachelor’s degrees for most health outcomes and smaller but largely significant returns to associate degrees. In contrast, adults with some college but no degree or with vocational/technical certificates do not have better physical health than high school graduates. Our findings highlight the stark differentiation within higher education as reflected by the disparate health outcomes in early adulthood.

The Pandemic Penalty: The Gendered Effects of COVID-19 on Scientific Productivity

Academia serves as a valuable case for studying the effects of social forces on workplace productivity, using a concrete measure of output: scholarly papers. Many academics, especially women, have experienced unprecedented challenges to scholarly productivity during the coronavirus disease 2019 (COVID-19) pandemic. The authors analyze the gender composition of more than 450,000 authorships in the arXiv and bioRxiv scholarly preprint repositories from before and during the COVID-19 pandemic. This analysis reveals that the underrepresentation of women scientists in the last authorship position necessary for retention and promotion in the sciences is growing more inequitable. The authors find differences between the arXiv and bioRxiv repositories in how gender affects first, middle, and sole authorship submission rates before and during the pandemic. A review of existing research and theory outlines potential mechanisms underlying this widening gender gap in productivity during COVID-19. The authors aggregate recommendations for institutional change that could ameliorate challenges to women’s productivity during the pandemic and beyond.

Firm Size and Employment during the Pandemic

Previous studies have established that firm size is associated with a wage premium, but the wage premium has declined in recent decades. The authors examine the risk for unemployment by firm size during the initial outbreak of coronavirus disease 2019 in the United States. Using both yearly and state-month variation, the authors find greater excess unemployment among workers in small enterprises than among those in larger firms. The gaps cannot be entirely attributed to the sorting of workers or to industrial context. The firm size advantage is most pronounced in sectors with high remotability but reverses in the sectors most affected by the pandemic. Overall, these findings suggest that firm size is linked to greater job security and that the pandemic may have accelerated prior trends regarding product and labor market concentration. They also point out that the initial policy responses did not provide sufficient protection for workers in small and medium-sized businesses.

On Track or Derailed? Race, Advanced Math, and the Transition to High School

Recent scholarship has examined how accelerated math trajectories leading to calculus take shape during middle school. The focus of this study is on advanced math course taking during the critical yet understudied period that follows: the transition to high school. Data from the High School Longitudinal Study of 2009 are used to examine advanced math course taking in ninth grade, including both track persistence among students who took advanced math in middle school and upward mobility among students who took standard math in middle school. Results reveal sizable racial gaps in the likelihood of staying on (and getting on) the accelerated math track, neither of which are fully explained by prior academic performance factors. Interactions with parents and teachers positively predict advanced math course taking. In some cases, interactions with teachers may also reduce inequality in track persistence, whereas interactions with counselors increase such inequality. Implications for research and policy are discussed.