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1 – 9 of 9Joshua J. Turner, Olena Kopystynska, Kay Bradford, Brian J. Higginbotham and David G. Schramm
High divorce rates have coincided with higher rates of remarriage. Although remarriages are more susceptible to dissolution than first-order marriages, less research has focused…
Abstract
High divorce rates have coincided with higher rates of remarriage. Although remarriages are more susceptible to dissolution than first-order marriages, less research has focused on factors that promote vulnerabilities among remarried couples. In the current study, the authors focused on whether predictors of divorce differ by the number of times someone has been married. The authors examined some of the most common reasons for divorce, as identified by parents who completed a state-mandated divorce education course (n = 8,364), while also controlling for participant sociodemographic characteristics. Participants going through their first divorce were more likely to identify growing apart and infidelity as reasons for seeking a divorce. Conversely, those going through a subsequent divorce were more likely to list problems with alcohol/drug abuse, childrearing differences, emotional/psychological/verbal mistreatment, money problems, physical violence, and arguing. Multivariate analyses indicated that sociodemographic factors were stronger predictors of divorce number than commonly listed reasons for divorce for both male and female participants. Implications for remarital and stepfamily stability and directions for future research are discussed.
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Risk preferences play a critical role in almost every facet of economic activity. Experimental economists have sought to infer the risk preferences of subjects from choice…
Abstract
Risk preferences play a critical role in almost every facet of economic activity. Experimental economists have sought to infer the risk preferences of subjects from choice behavior over lotteries. To help mitigate the influence of observable, and unobservable, heterogeneity in their samples, risk preferences have been estimated at the level of the individual subject. Recent work has detailed the lack of statistical power in descriptively classifying individual subjects as conforming to Expected Utility Theory (EUT) or Rank Dependent Utility (RDU). I discuss the normative consequences of this lack of power and provide some suggestions to improve the accuracy of normative inferences about individual-level choice behavior.
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Caroline Wolski, Kathryn Freeman Anderson and Simone Rambotti
Since the development of the COVID-19 vaccinations, questions surrounding race have been prominent in the literature on vaccine uptake. Early in the vaccine rollout, public health…
Abstract
Purpose
Since the development of the COVID-19 vaccinations, questions surrounding race have been prominent in the literature on vaccine uptake. Early in the vaccine rollout, public health officials were concerned with the relatively lower rates of uptake among certain racial/ethnic minority groups. We suggest that this may also be patterned by racial/ethnic residential segregation, which previous work has demonstrated to be an important factor for both health and access to health care.
Methodology/Approach
In this study, we examine county-level vaccination rates, racial/ethnic composition, and residential segregation across the U.S. We compile data from several sources, including the American Community Survey (ACS) and Centers for Disease Control (CDC) measured at the county level.
Findings
We find that just looking at the associations between racial/ethnic composition and vaccination rates, both percent Black and percent White are significant and negative, meaning that higher percentages of these groups in a county are associated with lower vaccination rates, whereas the opposite is the case for percent Latino. When we factor in segregation, as measured by the index of dissimilarity, the patterns change somewhat. Dissimilarity itself was not significant in the models across all groups, but when interacted with race/ethnic composition, it moderates the association. For both percent Black and percent White, the interaction with the Black-White dissimilarity index is significant and negative, meaning that it deepens the negative association between composition and the vaccination rate.
Research limitations/implications
The analysis is only limited to county-level measures of racial/ethnic composition and vaccination rates, so we are unable to see at the individual-level who is getting vaccinated.
Originality/Value of Paper
We find that segregation moderates the association between racial/ethnic composition and vaccination rates, suggesting that local race relations in a county helps contextualize the compositional effects of race/ethnicity.
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This article advocates that privacy literacy research and praxis mobilize people toward changing the technological and social conditions that discipline subjects toward advancing…
Abstract
Purpose
This article advocates that privacy literacy research and praxis mobilize people toward changing the technological and social conditions that discipline subjects toward advancing institutional, rather than community, goals.
Design/methodology/approach
This article analyzes theory and prior work on datafication, privacy, data literacy, privacy literacy and critical literacy to provide a vision for future privacy literacy research and praxis.
Findings
This article (1) explains why privacy is a valuable rallying point around which people can resist datafication, (2) locates privacy literacy within data literacy, (3) identifies three ways that current research and praxis have conceptualized privacy literacy (i.e. as knowledge, as a process of critical thinking and as a practice of enacting information flows) and offers a shared purpose to animate privacy literacy research and praxis toward social change and (4) explains how critical literacy can help privacy literacy scholars and practitioners orient their research and praxis toward changing the conditions that create privacy concerns.
Originality/value
This article uniquely synthesizes existing scholarship on data literacy, privacy literacy and critical literacy to provide a vision for how privacy literacy research and praxis can go beyond improving individual understanding and toward enacting social change.
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