What’s a Parent to Do? How Parents Respond to Notification of a Child’s Police Detention

The current qualitative study involved in-depth semistructured interviews with parents whose children had been taken into custody. Their initial emotional reactions, cognitive processing, and behavioral responses to their child’s detention were examined. Five themes emerged from the data: (1) Parents try to defer immediate interactions with the child rather than react out of emotion; (2) Parents feel anger toward their child, but disappointment and shock are more strongly expressed emotional responses; (3) Parents do not accept the behavior but do not reject their child; (4) Police behaviors communicate the seriousness of the act; and (5) The entire family suffers consequences from the child’s act. Findings highlight the experiences of the parents as they interacted with the juvenile justice system.     

Say it Loud: The Obama Effect and Racial/Ethnic Identification of Adolescents

The current study examined how self-reported racial/ethnic identification of adolescents living in poverty may be related to significant societal events and seminal public figures. Data from a multiple cohort longitudinal study, conducted in Mobile, Alabama between 1998 and 2011, were used to examine the impact of Barack Obama's nomination and presidency on racial/ethnic identification. The results show that significantly more adolescents changed their self-reported racial/ethnic identification from White or Mixed-Race to Black or Mixed Race after the election than before. These results suggest that a distant public figure can serve as a role model with observable effects for adolescents.     

Public support for Hispanic deportation in the United States: the effects of ethnic prejudice and perceptions of economic competition in a period of economic distress

This paper investigates the effect of ethnic prejudice and perceived economic competition on support for deportation and alternative policy options concerning the handling of undocumented immigrants. Using a national survey conducted in early 2009, data are analysed using bivariate and multinomial regression techniques. Ethnic prejudice and perceived economic competition were found to be significantly related to support for deportation in the face of alternative options, controlling for the effects of age, sex, employment status, nativity, race, party identification, and education. Furthermore, majority support for deportation was found among conservatives, moderates, Republicans, and Independents. Even among liberals and Democrats, substantial numbers supported deportation. During the recent economic recession, perceived economic competition and ethnic prejudice were dominant influences on deportation preferences, and deportation appears to have become a mainstream policy option. However, we speculate that deportation preferences are relatively shallow and unstable owing partly to the dependence of immigration public opinion on economic cycles, and, ultimately, the unfeasibility of deportation as a policy option.     

Examining Localized Patterns of Air Quality Perception in Texas: A Spatial and Statistical Analysis

Environmental and human health issues associated with outdoor air pollution, such as ozone, sulfur dioxide, and other pollutants in metropolitan regions, are an area of growing concern for both policy officials and the general public. Increasing attention from the news media, new health data, and public debate over the effectiveness of clean air regulations have raised the importance of air quality in the public consciousness. While public perceptions of air quality have been studied thoroughly dating back to the 1960s, little empirical research has been conducted to explain the spatial aspects of these perceptions, particularly at the local level. Although recent studies suggest characteristics of local setting are important in shaping perceptions of air quality, the roles of proximity, neighborhood characteristics, and location have not been clarified. This study seeks to improve understanding of the major factors shaping public perceptions of air quality by examining the spatial pattern of local risk perception, the role of socioeconomic characteristics in forming these perceptions, and the relationship between perceived and scientifically measured air pollution. First, we map the spatial pattern of local air quality perceptions using Geographic Information Systems (GIS) across the Dallas and Houston metropolitan areas. Next, we explain these perceptions through local contextual factors using both bivariate correlations and multivariate regression analysis. Results indicate that perceptions of air quality in the study areas are not significantly correlated with air quality based on readings of air monitoring stations. Instead, perceptions appear to be influenced by setting (urban vs. rural), state identification, access to information, and socioeconomic characteristics such as age, race, and political identification. We discuss the implications of the findings and provide direction on how further research can provide a deeper understanding of the local contextual factors influencing public perceptions.     

Bayesian nonparametric survival analysis for grouped data

A Bayesian nonparametric estimate of the survival distribution is derived under a particular sampling scheme for grouped data that includes the possibility of censoring. The estimate uses the prior information to smooth the data, giving an estimate which is continuous. As special cases survival estimates for life tables are obtained and the estimate of Susarla and Van Ryzin (1976) is derived. As the weight of the prior information tends to zero, the Bayesian estimate reduces to a continuous version of the nonparametric maximum-likelihood estimate. An empirical Bayes modification of the procedure is illustrated on a data set from Cutler and Ederer (1958).     

Understanding major gift donors

The Seven Faces of Philanthropy: A New Approach to Cultivating Major Donors, by Russ Alan Prince and Karen Maru File. San Francisco: Jossey-Bass, 1994. 247 pp., $27.95 cloth. Why the Wealthy Give: The Culture of Elite Philanthropy, by Francie Ostrower. Princeton, N.J.: Princeton University Press, 1995. 190 pp., $35.00 cloth, $14.95 paper.     

Examining the 100‐Year Floodplain as a Metric of Risk,Loss, and Household Adjustment

An understudied, but central aspect in understanding flood impacts is the way we conceptualize, identify, and delineate risk. The 100‐year floodplain is the longstanding metric in the United States for determining and acting upon the possibility of an area being inundated. This spatial delineation guides local planning and development decisions, triggers insurance purchases and other household adjustments, and serves as the fundamental indicator for whether it is safe to build a structure on a particular site. However, increasing evidence suggests that the 100‐year floodplain is neither accurate nor sufficient in guiding communities and household decisions to mitigate the adverse economic impacts of floods. In this perspective, we examine the effectiveness of the 100‐year floodplain as an appropriate marker of risk. First, we review existing studies on location and flood damage. Next, we apply these concepts to repetitive flood losses data in Harris County, Texas. We conclude that the apparent inability of the floodplain designation to effectively capture the likelihood of property damage and potential loss of human life in coastal areas has left potentially millions of property owners unaware of the flood risk and unprepared to mitigate their adverse impacts. Relying on traditional 100‐year floodplain boundaries, local decision makers are hampered in their ability to ensure community development occurs in a resilient manner. Finally, we set forth an agenda for future research to better capture the conditions associated with flood risk and account for the large percentage of damage outside the designated floodplain.     

Teaching Note—Integrating Theory and Research Methods in a First-Year Doctoral Sequence or Program

This teaching note describes an innovative process in which faculty members worked collaboratively to create an integrated three-course sequence of requisite course content in a PhD program, developed complementary assignments, and coordinated a classroom experience that led to the creation of an individualized area statement and eventual integrated literature review. Lessons learned from this experience are discussed.     

BAYESIAN BETA REGRESSION: APPLICATIONS TO HOUSEHOLD EXPENDITURE DATA AND GENETIC DISTANCE BETWEEN FOOT-AND-MOUTH DISEASE VIRUSES

There is considerable interest in understanding how factors such as time and geographic distance between isolates might influence the evolutionary direction of foot‐and‐mouth disease. Genetic differences between viruses can be measured as the proportion of nucleotides that differ for a given sequence or gene. We present a Bayesian hierarchical regression model for the statistical analysis of continuous data with sample space restricted to the interval (0, 1). The data are modelled using beta distributions with means that depend on covariates through a link function. We discuss methodology for: (i) the incorporation of informative prior information into an analysis; (ii) fitting the model using Markov chain Monte Carlo sampling; (iii) model selection using Bayes factors; and (iv) semiparametric beta regression using penalized splines. The model was applied to two different datasets.