Fostering social capital in an international multi-stakeholder issue network

Scholars have theorized that public relations contributes to societies and communities by bringing attention to pressing public issues and fostering social capital in civil society networks. However, the extant research has studied civil society networks of NGOs, donors, and the media in transitional countries. This study extends the public relations model of civil society in two ways. First, it broadens the scope to an international context. Second, it draws from the multi-stakeholder issue network perspective to conceptualize a civil society network as a space where stakeholders of an issue mix their interests as they collectively address a pressing public issue. The literature on international and multi-stakeholder networks suggest that the international scope and the mixing of interests across sectors may restrict the production of social capital. The results from the social network analysis suggests that the mixing of interests across sectoral and geopolitical boundaries did not restrict the production of social capital. Rather, the patterns of the relationships among those on the core and those on the periphery of the network restricted the production of social capital. Such finding demonstrates how public relations’ functions like relationship building can have profound influences on social capital and civil society networks. The implications for public relations theorizing and research are discussed.     

Ecosystem services deficits in cross-boundary landscapes: spatial mismatches between green and grey systems

Urban Ecosystems - Quantitative analyses of the influence of boundary lines on ecosystem services distributions remain rare. Approaches towards integrative assessments of green and grey landscape...     

Rap music,race, and perceptions of crime

Scholars who study rap music have long expressed concerns that criticism of the genre is inextricably linked to stereotypes of young Black men in the United States. Yet minimal research has empirically examined how rap music is linked to race in ways that legitimize and maintain anti‐Black attitudes, particularly attitudes related to crime. This article reviews how scholars have typically challenged seemingly racialized concerns about rap music before surveying the handful of studies that empirically examine attitudes related to rap music, race, and crime. In so doing, this essay highlights a growing need for broader conceptualizations of race/ethnicity and social control.     

Missing item imputation for quality-of-life instruments with application to asthma quality-of-life questionnaires

There has been increasing use of quality-of-life (QoL) instruments in drug development. Missing item values often occur in QoL data. A common approach to solve this problem is to impute the missing values before scoring. Several imputation procedures, such as imputing with the most correlated item and imputing with a row/column model or an item response model, have been proposed. We examine these procedures using data from two clinical trials, in which the original asthma quality-of-life questionnaire (AQLQ) and the miniAQLQ were used. We propose two modifications to existing procedures: truncating the imputed values to eliminate outliers and using the proportional odds model as the item response model for imputation. We also propose a novel imputation method based on a semi-parametric beta regression so that the imputed value is always in the correct range and illustrate how this approach can easily be implemented in commonly used statistical software. To compare these approaches, we deleted 5% of item values in the data according to three different missingness mechanisms, imputed them using these approaches and compared the imputed values with the true values. Our comparison showed that the row/column-model-based imputation with truncation generally performed better, whereas our new approach had better performance under a number scenarios.     

Rethinking Families Over the Life Course Development Perspective: Including the Lives of Same‐Sex Families

This paper has three objectives. The first goal is to summarize the literature on same‐sex families relating to the major life transitions of relationship formation, marriage, parenting, relationship dissolution, and old age. For the most part, this literature remains scant, with many areas completely ignored. Second, reasons why there is relatively little known about the life course of same‐sex families will be examined. In particular, we argue that the life course’s focus on marriage as a marker for transitions, including whether or not transitions are on or off time, works to exclude same‐sex families since they are not legally able to marry in most countries. The third objective is to explore if, and how, the family life course development perspective can be adapted or modified so that it can account for the diversity of both same and opposite‐sex families.     

Improving the detection of unusual observations in high‐dimensional settings

Multivariate control charts are used to monitor stochastic processes for changes and unusual observations. Hotelling's T² statistic is calculated for each new observation and an out‐of‐control signal is issued if it goes beyond the control limits. However, this classical approach becomes unreliable as the number of variables p approaches the number of observations n, and impossible when p exceeds n. In this paper, we devise an improvement to the monitoring procedure in high‐dimensional settings. We regularise the covariance matrix to estimate the baseline parameter and incorporate a leave‐one‐out re‐sampling approach to estimate the empirical distribution of future observations. An extensive simulation study demonstrates that the new method outperforms the classical Hotelling T² approach in power, and maintains appropriate false positive rates. We demonstrate the utility of the method using a set of quality control samples collected to monitor a gas chromatography–mass spectrometry apparatus over a period of 67 days.     

Environmental Risk Exposure,Risk Perception,Political Ideology and Support for Climate Policy

The degree to which risk perceptions are socially constructed versus the result of actual exposure to risk is highly contested; how risk exposure and risk perception influence policy attitudes is also poorly understood. We examine how personal exposure to risk factors impacts risk perceptions and policy support related to air pollution and climate change. Our selection of risk exposure variables is informed by the “mental models” literature, and we employ an array of variables to capture subjective risk perceptions using novel survey data. We find that exposure to risk does little to predict risk perception and has a small influence on policy support. Overall, our findings lend support to a constructionist understanding of risk perception and support for policies related to environmental risks.