Thinking About Stakeholders of Public Agencies: The Georgia Department of Transportation Stakeholder Audit

Practitioners and scholars have grown increasingly interested in recent decades in how public administrators should and can work with the constituencies they serve. To date, most of this conversation has focused on citizens and broader communities rather than on stakeholders more generally, but these other stakeholders, ranging from oversight policy-making bodies to private sector and nonprofit contractors to governmental partners, are no less important than the general public. The purpose of this paper is to propose a first step that many agencies might take in thinking about their range of stakeholders, a step that we term a “stakeholder audit.” A stakeholder audit entails (1) mapping the universe of an agency’s stakeholders, (2) assessing the agency’s perceived needs for additional information relative to various stakeholder groups, and (3) developing suggestions on how to obtain that information. After first discussing the more general idea of stakeholder analyses, we describe the stakeholder audit technique, and illustrate how it has been applied to a particular agency, the State of Georgia’s Department of Transportation. We conclude by considering how a stakeholder audit could represent a first step for an agency in improving relationships with its stakeholders.

Time as a limited resource: Communication strategy in mobile phone networks

We used a large database of 9 billion calls from 20 million mobile users to examine the relationships between aggregated time spent on the phone, personal network size, tie strength and the way in which users distributed their limited time across their network (disparity). Compared to those with smaller networks, those with large networks did not devote proportionally more time to communication and had on average weaker ties (as measured by time spent communicating). Further, there were not substantially different levels of disparity between individuals, in that mobile users tend to distribute their time very unevenly across their network, with a large proportion of calls going to a small number of individuals. Together, these results suggest that there are time constraints which limit tie strength in large personal networks, and that even high levels of mobile communication do not fundamentally alter the disparity of time allocation across networks.     

Extrapolative simulation of neighborhood networks based on population spatial distribution: Do they predict crime?

Objectives

Previous criminological scholarship has posited that network ties among neighborhood residents may impact crime rates, but has done little to consider the specific ways in which network structure may enhance or inhibit criminal activity. A lack of data on social ties has arguably led to this state of affairs. We propose to avoid this limitation by demonstrating a novel approach of extrapolatively simulating network ties and constructing structural network measures to assess their effect on neighborhood crime rates.

Methods

We first spatially locate the households of a city into their constituent blocks. Then, we employ spatial interaction functions based on prior empirical work and simulate a network of social ties among these residents. From this simulated network, we compute network statistics that more appropriately capture the notions of cohesion and information diffusion that underlie theories of networks and crime.

Results

We show that these network statistics are robust predictors of the levels of crime in five separate cities (above standard controls) at the very micro geographic level of blocks and block groups.

Conclusions

We conclude by considering extensions of the approach that account for homophily in the formation of network ties.     

Comparisons of Gambling and Alcohol Use Among College Students and Noncollege Young People in the United States

Abstract

Objective: Gambling and alcohol use were compared for college and noncollege young adults in the US population. Participants: Participants were 1,000 respondents aged 18 to 21. Methods: Data were analyzed from a representative household sample of US young people aged 14 to 21 years old. Telephone interviews were conducted between August 2005 and January 2007. Results: After taking into account gender, age, race/ethnicity, and socioeconomic status, college student status did not predict gambling, frequent gambling, or problem gambling. In contrast, being a college student was associated with higher levels of alcohol use and problem drinking. Being male was the strongest predictor of both problem gambling and problem drinking. Blacks were less likely than whites to drink heavily; yet they were more likely than whites to gamble heavily. Conclusion: Young males should be targeted for prevention and intervention efforts for both problem gambling and problem drinking regardless of college student status.     

Flourishing: Exploring Predictors of Mental Health Within the College Environment

Abstract

Objective: To explore the predictive factors of student mental health within the college environment. Participants: Students enrolled at 7 unique universities during years 2008 (n = 1,161) and 2009 (n = 1,459). Methods: Participants completed survey measures of mental health, consequences of alcohol use, and engagement in the college environment. Results: In addition to replicating previous findings related to Keyes’ Mental Health Continuum, multiple regression analysis revealed several predictors of college student mental health, including supportive college environments, students’ sense of belonging, professional confidence, and civic engagement. However, multiple measures of engaged learning were not found to predict mental health. Conclusions: Results suggest that supportive college environments foster student flourishing. Implications for promoting mental health across campus are discussed. Future research should build on exploratory findings and test confirmatory models to better understand relationships between the college environment and student flourishing.     

Environmental Health and Safety Philosophy

Abstract

Objective: This study examines ethnic identity and body image in black and white college females. Participants: Researchers surveyed 118 students at 2 universities, 1 traditionally white and 1 historically black. Methods: Correlations and multivariate analysis of variance (MANOVA) were used to investigate the relationship between race, ethnic identity, and body dissatisfaction. Results: There was no relationship between a woman's ethnic identity and her body dissatisfaction. Although white women scored higher on body dissatisfaction measures, women in both groups who had higher body dissatisfaction scores also choose smaller ideal body types. Results suggest that identification with an ethnic group may not shield women from being dissatisfied with their bodies. Conclusion: Colleges and universities should be aware that many women could experience body dissatisfaction and develop diverse programs that target women from different ethnic groups.     

Echoic and Self-Echoic Responses in Children

Eleven typically developing children were assessed on the accuracy of prompted self-echoic responses following a 5-s delay from their initial echoic response, replicating procedures in Esch, Esch, McCart, and Petursdottir (2010) that compared discrepancies between echoic and self-echoic scores of autistic and typically developing children following a 2-s delay. We compared the two studies in terms of age, level tested, and echoic/self-echoic discrepancy scores. Age and test level differences were found to be statistically significant. Results are discussed in terms of discrepant self-echoic performance and self-echoic rehearsal as it relates to participant age, test level, motivating variables, and the development of complex behavior.     

Correlates of depression in self-neglecting older adults: A cross-sectional study examining the role of alcohol abuse and pain in increasing vulnerability

ABSTRACT

Self-neglect among older adults results in increased morbidity and mortality rates. Depression is strongly linked to self-neglect and when untreated, severely complicates management of health and functional outcomes. The study aims to identify factors correlated with depression to inform approaches to service recruitment and retention that improve long-term outcomes. The sample included urban community-dwelling older adults (n = 96) 65 years of age and older with Adult Protective Services-substantiated self-neglect. All participants completed a range of validated cognitive, functional, and self-report demographic and clinical measures around health and mental health functioning. A secondary data analysis using multivariable logistic regression revealed that a positive screen for alcohol abuse, low self-rated health, and higher self-reported pain were associated with significantly higher odds of self-reported depression. Further research is needed to understand the temporality between these correlates and depression and to inform prevention and intervention practices for self-neglecting older adults.     

Conceptual Model and Map of Psychological Abuse of Older Adults

Psychological abuse of older adults is a hidden and pervasive problem that is not well conceptualized nor well measured. Goals. The goals were to (a) conceptualize psychological abuse using three-dimensional concept maps, and (b) develop theoretical models. Methods. Statements describing the construct were generated by local and national panels. These were sorted and rated using Concept Systems software whereby the concepts were depicted as a map. Results. The concept maps guided development of theoretical hierarchies. Significance. Theoretical models may help to develop measures to estimate prevalence better and may enable more precise screening for triage into appropriate interventions.