Social Science Research最新文献

Though the COVID-19 crisis put many older adults at sudden risk of social isolation, the pandemic was far from the “great equalizer” some pundits and politicians initially claimed it would be. Drawing from Cumulative Inequality Theory, I consider how long-run patterns of social dis/connectedness contextualize key disparities in social contact that manifested during the pandemic. I incorporate data from four rounds of the National Social Life, Health, and Aging Project (2005–2021), constructing multiple operationalizations of connectedness accumulation across pre-COVID years and examining several types of social contact during the pandemic, both in-person and remote. Results from ordered logistic regression show that those most durably connected were especially likely to incorporate digital tools for maintaining contact with family and friends. On the other hand, people experiencing more bouts of social disconnection were least likely to see friends during the pandemic, and were yet relatively tolerant of that level of engagement. Even while many older people's level of social dis/connectedness fluctuates over the course of 15 years, it was long-run accumulation patterns—not conditions observed most recently—that best explain their experience of social contact during the pandemic. Findings point to the role of crises in perpetuating and exacerbating key axes of inequality, and suggest points of attention and intervention in COVID's aftermath.

Later-life cognitive function is strongly influenced by one's environment. At this life stage, a partner's behaviors and attributes—including their own cognitive status—are a key environmental determinant. A recent “social allostasis” theory also yields specific predictions on patterns of mutual influence—or “contagion”—in cognitive function. Yet, no population representative studies have examined these coupled dynamics. Using recently developed fixed-effects cross-lagged panel modeling (FE-CLPM) methods and ten-year data from the Health and Retirement Study—nationally-representative of U.S. adults over 50—the current study filled this gap. Results supported dyadic cognitive contagion over the long- but not short-run. Short-term associations suggested intriguing “cognitive cycling” possibilities among both men and women that need further investigation. Overall, results supported a theoretical model of coupled “cognitive careers,” and relational inducement of allostatic load. Especially among men, recurrent impulses also cumulatively induced substantial path-dependent cognitive improvements, supporting the added value of repeated over one-time interventions. Theoretical and substantive implications are discussed.

With advancement in reproductive technologies, public opinion regarding these procedures varies considerably across the world. While prominent public debates have focused on abortion, we know less about the factors shaping feelings regarding Assisted Reproductive Technologies (ART). Both procedures challenge the idea that human life starts with conception – with the fertilization of an embryo. Using European Values Survey data and multilevel modeling, we compare how religion and other personal and country-level factors shape disapproval toward abortion and ART. Conservative Protestants and people who are more engaged with their religion and live in a more religious country are more likely to disapprove of abortion and ART. More supportive polices and attitudes regarding ART, but not abortion, are correlated. Additionally, economic development moderates the relationship between personal religiosity and abortion, but not ART. This finding provides important insight into why abortion has remained such a controversial issue, even in richer nations.

Subjective well-being (SWB) describes an individual's life evaluation. Direct elicitation methods for SWB via rating scales do not force individuals to trade-off among life domains, whilst best-worst scaling (BWS) approaches only provide relative measures. This paper instead offers a dual-response BWS task, where respondents nominate areas of most and least importance and satisfaction with respect to 11 SWB domains, whilst also eliciting anchoring points to obtain an absolute measure of domain satisfaction. Combining domain satisfaction and importance produces a robust measure of individual SWB, but statistically unique relative to other life satisfaction measures utilizing single- and multi-item ratings, including global satisfaction and those aggregated over SWB domains, as well as eudemonia. Surveying 2500 Australians reveals anchored-BWS improves discrimination amongst domains in terms of importance and satisfaction, illustrating its value as a diagnostic tool for SWB measurement to focus services, policy, and initiatives in areas to most impact wellbeing. This includes highlighting a major discrepancy between health satisfaction and importance, whilst also reporting that SWB is significantly lower for Indigenous, unemployed, middle-aged, males and lower income groups.

While much research has documented stark racial gaps in total net worth, few studies have examined the development of racial gaps across different types of assets using longitudinal data. Drawing on data from the National Longitudinal Survey of Youth (1997), we study the emergence of Black-White and Hispanic-White wealth gaps across different types of assets and debt among a recent cohort of young adults. We find that the gaps in net worth, financial assets, home equity, and debt all increase over time. The racial gaps in financial assets widen at a rate that exceeds the corresponding gaps in other components of net worth. Indeed, a decomposition analysis reveals that financial assets contribute more than home equity to exacerbating net worth disparities. Our findings underscore the unique role that financial assets play in expanding racial wealth gaps in young adulthood.

This study examines the health consequences and underlying pathways of education-occupation mismatch. Using a longitudinal sample of college graduates from the Panel Studies of Income Dynamics (1984–2019) and employing longitudinal hybrid models, we found that contemporary vertical mismatch (between education level and educational requirements of occupation) was associated with poorer psychological well-being and bio-behaviors (obesity and smoking), but not physical health. In contrast, horizontal mismatch (between field of study and field required for occupation) did not show clear health consequences. Sequence analysis was employed to uncover the mismatch trajectories and revealed that persistent vertical mismatch over one's career had a greater impact on psychological distress and smoking than episodic mismatch experiences. Furthermore, the linkage between vertical mismatch and health outcomes was likely shaped by psychosocial processes rather than reduced material well-being. These findings imply that education-occupation vertical (mis)match produces health disparities between occupationally matched and mismatched college graduates.

In this paper, we propose a set-analytic approach to the study of intersectionality. Our approach builds on the intersectional view that combinations of attributes, such as black females, should be understood as qualitatively distinct states, not reducible to their component attributes. We show that interaction-based, quantitative approaches are not only inconsistent with the core assumptions of intersectionality but also may underestimate the presence of penalties linked to multi-category memberships. In contrast, we show that truth table analysis, a core feature of Qualitative Comparative Analysis, directly implements several of the core methodological concerns of the intersectionality perspective. The truth table approach offers two important advantages. (1) It provides a foundation for the comparison of logically ‘adjacent’ configurations—combinations of case characteristics that differ by only a single attribute. (2) It can accommodate case attributes that vary by level or degree in a set-theoretic, intersectional framework.

This study explores why some fake news publishers are able to propagate misinformation while others receive little attention on social media. Using COVID-19 vaccine tweets as a case study, this study combined the relational niche framework with pooled and multilevel models that address the unobserved heterogeneity. The results showed that, as expected, ties to accounts with more followers were associated with more fake news tweets, retweets, and likes. However, more surprisingly, embedding with fake news publishers had an inverted U-shaped association with diffusion, whereas social proximity to mainstream media was positively associated. Although the effect of influential users is in line with opinion leader theory, the newly-identified effects of social proximity to reliable sources and embeddedness suggest that the key to fake news virality is to earn greater organizational status and modest, not overly, echo chambers. This study highlights the potential of dynamic media networks to shape the misinformation market.

Recent research suggests that occupations and organizations intersect during the formation of wage inequality. Using administrative data from the Netherlands, I investigate whether workers who are employed in different occupations experience unequal wage growth when staying in an organization. Results reveal that workers in professional and managerial positions realize larger wage growth than workers who work initially in lower-status occupations. After six years of staying at the same organization, predicted wage growth rates vary between 5.44% for production workers and 10.18% for technical professionals. The findings indicate that occupations compound present and future wage advantages at the organizational level. I test whether occupational sorting across organizations with differing pay quality mediates part of the occupation-based heterogeneity in wage growth. The results show that occupational sorting is marked but that sorting explains only up to around 8% of inequality in firm-internal wage growth between different occupational classes in the Dutch labor market.

This paper investigates the existence and mechanisms of segmentation in the welfare assimilation process of first-generation immigrants in the Netherlands. Using longitudinal administrative data (2007–2015) from Statistics Netherlands (CBS), we estimate the welfare utilization trajectories of migrants over the working-age life course vis-à-vis two reference groups representing different economic segments from the population, namely: average Dutch natives and Dutch natives with low education level. Empirical evidence shows a predominant trend of mainstream assimilation; however, two findings with more concerning implications should be highlighted. Welfare assimilation into the economically disadvantaged segment is found to concentrate among first-generation immigrants characterized by structural and human capital disadvantages, despite the notable extent of upward intragenerational mobility observed. In the worst-case scenario, there seems to be a lack of welfare assimilation to the comparison segments, raising concerns over the prospective emergence of marginalized ethnic groups at the bottom of the economic ladder. The implications of this finding are twofold. Firstly, automatic closing of the migrant-native gap over time should not be presumed in the absence of a level playing field for all regardless of their migration backgrounds. Secondly, systematic discrepancies observed between refugees and other types of migrants in terms of welfare assimilation patterns and determinants point to the need to have a clear distinction between immigration policy and refugee policy, which explicitly avoids bundling all migrants as one homogenous group.