Income Inequality across the Rural-Urban Continuum in the United States, 1970–2016*

The growth in macro-level income inequality in the United States is well established, but less is known about patterns of inequality at subnational scales and how they vary between and within rural and urban localities. Using data from the Decennial Census and American Community Survey, we produce estimates of within-county income inequality from 1970 to 2016 and analyze differences in inequality levels, the persistence of high (low) inequality, and populations' exposure to high (low) inequality across the rural-urban continuum. We find that income inequality has historically been higher in non-metropolitan than metropolitan counties, but inequality levels converged by 2016 due to growing inequality in metropolitan counties. Additionally, levels of inequality were generally persistent within counties over time, except that counties characterized by low inequality in 1970 were unlikely to remain as such in 2016. Third, non-trivial shares of the metropolitan population resided in low-inequality contexts in 1970, but virtually none of the U.S. population resided in such places by 2016. Residence in high-inequality counties is normative in rural and urban America. This statistical analysis provides an updated portrait of income inequality across the rural-urban continuum, and should spur additional research on stratification in rural America during an era of growing inequality.     

Does the Theory of Voluntary Sector Failure Provide Insight into Food Pantries? A Case Study of a Network of Food Pantries in San Diego,CA

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations - Individuals seek food assistance from both government and nongovernmental services. The theory of voluntary sector failure...     

Racial/Ethnic Minority Community College Students' Critical Consciousness and Social Cognitive Career Outcomes

A need exists to better understand how racial/ethnic minority students' critical consciousness development in response to marginalization may be involved in their educational and career development. We therefore examined the link between critical consciousness development and career decision self-efficacy and career outcome expectations among racial/ethnic minority community college students. Following social cognitive career theory's conceptual pillars, we developed a testable model integrating critical consciousness and social cognitive variables. This model was tested with 135 racially and ethnically diverse community college students. Data analysis included path analyses and tests of model fit using structural equation modeling. Results suggested that (a) higher critical agency is linked to higher career decision self-efficacy and outcome expectations and (b) critical action and reflection have a bidirectional link and predict higher critical agency. Implications for research and practice aiming to close educational and career gaps among racial/ethnic minorities are discussed.     

Megachurch involvement at the local level: Examining conditions for church action in economic development

The roles of small congregations and their social impacts are well known, but few theoretical studies investigate megachurch congregations. These mammoth organizations have the potential for advancing social good, but minimal research specifically focuses on the activities of these congregations in economic development (ED). This study addresses this dearth of information by answering the following research questions: (a) In what ways are megachurches involved in ED activities? (b) Who benefits from these programs and how are the programs offered? and (c) What factors influence megachurches to offer ED activities? We frame our investigation using both demand‐ and supply‐side arguments from Frumkin's (2002) model of nonprofit and voluntary action. Online survey data and follow‐up interviews with 42 megachurch leaders in the Dallas/Fort Worth and greater Houston areas show that megachurches are implementing ED activities in alignment with demand‐side explanations, especially when advancing opportunities for the unemployed and underemployed. However, supply‐side arguments provide more explanatory power, indicating that volunteer engagement with ED activities plays a significant role in the provision of ED services through megachurches. Our study offers a better understanding of why megachurches carry out ED activities with considerable attention devoted to how megachurches partner with other congregations, nonprofits, and government entities to encourage economic growth and improve the economic well‐being of community members.     

Terms of engagement: Facebook and Twitter use among nonprofit human service organizations

This study uses Lovejoy and Saxton's (2012) hierarchy of engagement to analyze how nonprofit human service organizations use Facebook and Twitter to engage stakeholders. Their framework has not been applied to this nonprofit subgroup, and most previous scholarship on this topic focuses on just one platform. We also contribute by drawing on organizational theory to better understand variation in the modes of engagement organizations emphasize. Based on our analysis, we add new subcategories to the hierarchy of engagement. In addition, we find that compared to other nonprofit subgroups examined in previous research, the organizations in our sample placed a greater emphasis on using social media messages to ask stakeholders to take action. We report only modest variations in how organizations were using Facebook and Twitter. Finally, according to our results, resource dependence and stewardship theories help explain the modes of engagement organizations prioritize.     

Capturing temporal dynamics of fear behaviors on a moment‐to‐moment basis

Identifying patterns of fearful behaviors early and accurately is essential to identify children who may be at increased risk for psychopathology. Previous work focused on the total amount of fear by using composites across time. However, considering the temporal dynamics of fear expression might offer novel insights into the identification of children at risk. One hundred and twenty‐five toddlers participated in high‐ and low‐fear tasks. Data were modeled using a novel two‐step approach. First, a hidden Markov model estimated latent fear states and transitions across states over time. Results revealed children's behavior was best represented by six behavioral states. Next, these states were analyzed using sequence clustering to identify groups of children with similar dynamic trajectories through the states. A four‐cluster solution found groups of children varied in fear response and regulation process: “external regulators” (using the caregiver as a regulation tool), “low reactive” (low reaction to stimulus), “fearful explorers” (managing their own internal state with minimal assistance from the caregiver), and “high fear” (fearful/at‐caregiver state regardless of task). The combination of analytic tools enabled fine‐grained examination of the processes of fearful temperament. These insights may help prevention programs target behaviors that perpetuate anxious behavior in the moment.     

HIV and Unintended Fertility in Sub-Saharan Africa: Multilevel Predictors of Mistimed and Unwanted Fertility Among HIV-Positive Women

Population Research and Policy Review - Sub-Saharan Africa (SSA) has a disproportionate burden of both unintended fertility and HIV infection, but the relationship between these two reproductive...     

Ageing Population: Identifying the Determinants of Ageing in the Least Developed Countries

Population Research and Policy Review - The issue of population ageing is no longer exclusively centred on developed countries. Empirical studies have proven that the rise in the proportion of the...