Nationwide Newspaper Coverage of Posttraumatic Stress: A Community Structure Approach

This study utilized the community structure approach to analyze newspaper coverage of posttraumatic stress (PTS) in veterans in 26 U.S. cities. The study examined whether media placed responsibility for PTS treatment on government or society through a review of 353 articles from March 20, 2003, to March 20, 2013. Researchers coded articles for “prominence” and “direction” to produce a “Media Vector” for each paper, ranging from 0.8403 to ?0.3592. Results showed that 25 of 26 Media Vectors (96%) supported government responsibility. Pearson correlations yielded nine significant findings. Results disconfirmed buffer hypotheses linking privilege with support for government responsibility (privilege defined by percentage of college educated, percentage of family income $100,000 or more, and percentage of professional/technical occupational status; r = ?.486, ?.524, ?.553, respectively, significant at the .006 level). Stakeholder hypotheses were also disconfirmed; greater percentages of age 65 and older correlated with more emphasis on government responsibility (r = .340, p = .048), whereas greater percentages of age 25 to 44 correlated with less emphasis (r = ?.342, p = .047). The only confirmed hypothesis linked percentage of age 45 to 64 with less emphasis on government responsibility (r = ?.559, p = .002). A regional finding was noteworthy: Media in the Midwest supported government responsibility more than other regions. Regression analysis revealed three variables influencing coverage most significantly: Family Income $100K+ (26% of variance), Percentage of Hispanic (8%), and Professional/Technical Occupational status (5%). It must be noted that nearly all newspapers yielded positive Media Vectors. This indicates that coverage in major cities generally favors government responsibility for veterans' PTS treatment, and Pearson correlation results may represent differences in the degree of support and demographic characteristics influencing this support.     

“It’s Not My Fault!” Status,Attributions, and Perceptions of Injustice: The Case of Custodians and Teachers

Perceptions of injustice rely upon a sense-making process in which individuals attempt to understand why and how it occurs. We draw from the attribution-of-blame model of justice judgments to examine how two work groups of disparate status make sense of the treatment and outcomes engendered by their interactions. Data from 27 in-depth interviews with custodians and teachers reveal that when custodians perceive disrespect from teachers and teachers perceive that custodians do not fulfill properly their duties, their attributions are shaped by their status position. Although both make internal attributions to each other for their injustice, teachers do not recognize how they perpetrate injustice against custodians and custodians perceive greater injustice by identifying how external factors affect their performance and blame. This unjustified blame fosters counterproductive work behaviors, illustrating how interdependencies fuel a cycle of injustice. We discuss the implications of these findings for the school and justice processes.     

Positive Manhood Development: A Look at Approaches and Concerns from the Frontline

This mixed methods study, using the perspectives of administrators and frontline workers, identified the key developmental needs of African American boys involved in manhood development programs. Five conceptual themes emerged: values and behavior; men needed for guidance; successful organizations; economics and systems; and stable quality parenting. Themes from the conceptual clusters are compared to themes in the positive youth development literature, specifically the 40 developmental assets framework proposed by the Search Institute. The resulting distinctive ecological focus is rarely discussed in the youth development literature and may have implications for youth development interventions that target positive African American manhood development.     

RELIGIOUS REFERENCE GROUPS AND THE PERSISTENCE OF NORMATIVE BEHAVIOR: AN EMPIRICAL TEST

Reference groups and significant others are vitally important in both the formation and the persistence or change of normative as well as deviant behavior patterns. Thus one's initial religious beliefs and behavior (or lack thereof) reflect the socializing influence of the family. However, the situation may change when young people leave home for education or work, as demonstrated by research that shows decreases in religious beliefs or church attendance when young people leave home to attend college. In contrast to the pattern whereby religiosity declines in a college or university environment, we maintain that students who develop close ties with others who are religious, especially in a highly religious community, will maintain the same patterns of high commitment developed in their families. Specifically, we hypothesize that religious beliefs and participation will be positively related to (1) parents' religious beliefs and practices and (2) current friends' religious beliefs and participation. These hypotheses were tested with a sample of college students living on campus (n = 339). The data support the argument that students' current religious beliefs and behavior are related to both their parents' religiosity and the reinforcing effects of the religiosity of their current friends.     

Extracting a revised labor supply theory from Becker's model of the household

Conflicting assumptions about labor supply behavior lie at the nexus of ideological and theoretical debates regarding the reality of involuntary unemployment, the efficacy of Keynesian macro-policy, and the appropriate nature of welfare policy. This can in part be attributed to the fact that orthodox theory is effectively predicated upon describing the behavior of individuals whose level of affluence enables them to voluntarily withhold their labor from the market. Ironically, a means of resolution appears if we extend Gary Becker's utility producing model of the household to recognize two latent behavioral concerns: (1) the ‘need’ of households for money income in order to produce utility, and (2) the presence of work activity in the home. The resulting generalized labor supply model extends Becker's analysis to explicitly encompass both the behavior of the affluent, and the behavior of the poor who need to work in order to sustain their existence.     

Prediction based classification for longitudinal biomarkers

Assessment of circulating CD4 count change over time in HIV-infected subjects on antiretroviral therapy (ART) is a central component of disease monitoring. The increasing number of HIV-infected subjects starting therapy and the limited capacity to support CD4 count testing within resource-limited settings have fueled interest in identifying correlates of CD4 count change such as total lymphocyte count, among others. The application of modeling techniques will be essential to this endeavor due to the typically non-linear CD4 trajectory over time and the multiple input variables necessary for capturing CD4 variability. We propose a prediction based classification approach that involves first stage modeling and subsequent classification based on clinically meaningful thresholds. This approach draws on existing analytical methods described in the receiver operating characteristic curve literature while presenting an extension for handling a continuous outcome. Application of this method to an independent test sample results in greater than 98% positive predictive value for CD4 count change. The prediction algorithm is derived based on a cohort of n = 270 HIV-1 infected individuals from the Royal Free Hospital, London who were followed for up to three years from initiation of ART. A test sample comprised of n = 72 individuals from Philadelphia and followed for a similar length of time is used for validation. Results suggest that this approach may be a useful tool for prioritizing limited laboratory resources for CD4 testing after subjects start antiretroviral therapy.