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Governments around the world have adopted many mitigation strategies to stop the spread of the coronavirus disease 2019 (COVID-19) pandemic. Public support for these strategies varies widely. In this visualization the authors examine whether college education might play a role in support for various COVID-19 mitigation strategies. To do so, they leverage original data from surveys conducted across six countries. The authors find that the association between education and support for COVID-19 restrictions varies considerably in direction, both by restriction type and by country. Given this finding, in many contexts, the educational status of the intended audience should be considered in how public health messaging campaigns are developed and targeted.

Using data from the 2011 Trends in International Mathematics and Science Study for 45 countries, we examined the size of socioeconomic, gender, and immigrant status related gaps, and their relationships with education system characteristics, such as differentiation, standardization, and proportion of governmental spending on education. We find that higher socioeconomic status is positively and significantly associated with higher math and science achievement; immigrant students lag behind their native peers in both math and science, with first generation students faring worse than second generation; and girls show lower math performance than boys. A higher degree of differentiation makes socioeconomic gaps larger in both math and science achievement, whereas higher governmental spending reduces socioeconomic achievement gaps.

In this article, we build on Gaddis (2017a) by illuminating a key variable plausibly related to racial perceptions of last names—geography. We show that the probability that any individual belongs to a race is conditional not only on their last name but also on surrounding racial demographics. Specifically, we demonstrate that the probability of a name denoting a race varies considerably across contexts, and this is more of a problem for some names than others. This result has two important implications for audit study research: it suggests important limitations for (1) the generalizability of audit study findings and (2) for the interpretation of geography-based conditional effects. This means that researchers should be careful to select names that consistently signal racial groups regardless of local demographics. We provide a slim R package that can help researchers do this.

How are evaluative reactions pertaining post-national citizenship identities interrelated and what are the potential mechanisms how post-national identities evolve? Previous efforts to operationalize and measure post-national citizenship identities leave it open how people's stances on different issues are related and suffer from a variety of theoretical and methodological shortcomings regarding the nature of political attitudes and ideologies. A recently proposed approach conceptualizes ideologies as networks of causally connected evaluative reactions to individual issues. Individual evaluative reactions form the nodes in a network model, and these nodes can influence each other via linked edges, thereby giving rise to a dynamic thoughts system of networked political and identity-related views. To examine this system at large, we apply network analysis to data from the European Values Study. Specifically, we investigate 33 evaluative reactions regarding national and supra-national identity, diversity, global empathy, global environmentalism, immigration, and supra-national politics. The results reveal a strongly connected network of citizenship identity-related attitudes. A community analysis reveals larger clusters of strongly related evaluative reactions, which are connected via bridges and hub nodes. Centrality analysis identifies evaluative reactions that are strategically positioned in the network, and network simulations indicate that persuasion attempts targeted at such nodes have greater potential to influence the larger citizenship identity than changes of more peripheral attitude nodes. We lastly show that socio-demographic characteristics are not only associated with the overall level of post-national citizenship, but also with the network structure, suggesting that these structural differences can affect the network function as people develop national or post-national citizenship identities, or respond to external events. These results provide new insights into the structure of post-national identities and the mechanism how post-national identities might evolve. We end with a discussion of future opportunities to study networked attitudes in the context of civic and citizenship education.

Scholars have identified many factors that lead to changes in anti-immigrant sentiment. Less is known, however, about the effects of anti-immigrant sentiment on the academic experiences and outcomes of immigrant students. This manuscript examines the relationship between anti-immigrant sentiment and immigrants' expectations to achieve a college degree and career success in Europe. Consistent with established literature on immigrant optimism, this study finds that immigrants generally have higher educational and occupational expectations than their nonimmigrant peers. However, these positive associations decrease in countries with higher levels of anti-immigrant sentiment. These patterns manifest for both first- and second-generation immigrants, indicating that the potential deleterious effects of anti-immigrant sentiment span generations of immigrants. These findings shed light on the out-of-family and out-of-school factors that shape the educational trajectories of immigrant youth and show that increases in anti-immigrant sentiment might bring about long-term damage to the success of immigrants in their host countries. They also suggest that school administrators and policymakers interested in immigrant success in the host countries should take anti-immigrant sentiment into account when devising approaches to aid immigrant incorporation.