An Examination of the Effects of Personal and Workplace Variables on Correctional Staff Perceptions of Safety

American Journal of Criminal Justice - Research on victimization has progressed dramatically over the last four decades. This research has identified important individual and contextual predictors...     

The Moderating Effect of Debates on Political Attitudes

In theory, candidate debates can influence voters by providing information about candidates' quality and policy positions. However, there is limited evidence about whether and why debates influence voters in new democracies. We use a field experiment on parliamentary debates during Ghana's 2016 elections to show that debates improve voters' evaluations of candidates. Debates have the strongest effect on partisan voters, who become more favorable toward and more likely to vote for opponent-party candidates and less likely to vote for co-partisans. Experimental and unique observational data capturing participants' second-by-second reactions to the debates show that policy information was the most important causal mechanism driving partisan moderation, especially among strong partisans. A follow-up survey shows that these effects persist in electorally competitive communities, whereas they dissipate in party strongholds. Policy-centered debates have the potential to reduce partisan polarization in new democracies, but the local political context conditions the persistence of these effects.     

Spatial Distributions of Oxygen Stable Isotope Ratios in Tap Water From Mexico for Region of Origin Predictions of Unidentified Border Crossers

One of the many difficulties associated with identifying undocumented border crossers stems from an inability to narrow down the search area for the region of origin and family members to obtain family reference samples for DNA comparison. While the geography of regions of origins is wide, the biological profiles of the undocumented border crossers often show strong similarities, young and male. The isotopic composition of human bones, teeth, and hair has been demonstrated to be useful biomarkers for tracing locations and movements of individuals and for aiding in the identification of human remains. Data obtained from human remains can be compared to and aligned with various reference sources, such as soils and bedrock, archaeological remains, or cultural data. Here, the spatial deficiency in isotopic reference data for Mexico, specifically for oxygen (δ¹⁸O) isotopes in tap water, is being addressed through the collection and analysis of over 150 water samples and explored with tooth enamel isotopic values from recently identified Mexican nationals. The isoscape was developed using a Spine with Barriers interpolation method and shows sufficient detail to narrow down the regions where specific isotopic values are represented. The individuals were plotted on the developed isoscape using conditional correlations. The methodology was successful in assigning the correct regions of origin for the two individuals, which shows the tremendous potential of the developed isoscape. Nonetheless, there is more research needed to further improve upon this geolocation method, including analysis of multiple isotopes in different tissues, and the development of new isotopic methods.     

The 2018 California Wildfires: Integration of Rapid DNA to Dramatically Accelerate Victim Identification

In November 2018, Butte County, California, was decimated by the Camp Fire, the deadliest wildfire in state history. Over 150,000 acres were destroyed, and at its peak, the fire consumed eighty acres per minute. The speed and intensity of the oncoming flames killed scores of people, and weeks before the fire was contained, first responders began searching through the rubble of 18,804 residences and commercial buildings. As with most mass disasters, conventional identification modalities (e.g., fingerprints, odontology, hardware) were utilized to identify victims. The intensity and duration of the fire severely degraded most of the remains, and these approaches were useful in only 22 of 84 cases. In the past, the remaining cases would have been subjected to conventional DNA analysis, which may have required months to years. Instead, Rapid DNA technology was utilized (in a rented recreational vehicle outside the Sacramento morgue) in the victim identification effort. Sixty-nine sets of remains were subjected to Rapid DNA Identification and, of these, 62 (89.9%) generated short tandem repeat profiles that were subjected to familial searching; essentially all these profiles were produced within hours of sample receipt. Samples successfully utilized for DNA identification included blood, bone, liver, muscle, soft tissue of unknown origin, and brain. In tandem with processing of 255 family reference samples, 58 victims were identified. This work represents the first use of Rapid DNA Identification in a mass casualty event, and the results support the use of Rapid DNA as an integrated tool with conventional disaster victim identification modalities.     

Analysing managerial perceptions of when and how to structure public involvement in public-private partnerships

Previous research highlights what managers perceive to be the purposes of public involvement in public-private partnerships (PPPs) and the need for addressing stakeholder concerns unique to PPPs. Yet, we have little evidence of how particular modes of participation benefit particular goals of participation in this context. Through canonical correlation analysis (CCA) of survey data collected in the U.S., this study examines the modes and sequencing of 14 public involvement activities in respect to 10 goals of public involvement in this context. The results indicate that selections among modes of participation are contingent upon when they are introduced. Respondents prefer widening stakeholder involvement early in the project development phase and during the contract implementation phase, but not during the later phases of contract design. Respondents also assign more value to engaging local citizens than their respective political leaders, particularly at mature stages of the PPP’s implementation phase.     

Do Participants and Observers Assess Intentions Differently During Bargaining and Conflict?

Political actors in conflict settings are often uncertain about their counterparts' intentions. This article explores the psychology of how intentions are assessed using a novel experimental design that randomly assigns subjects to one of three roles—"proposer,""recipient," or "observer." Recipients and observers are given identical noisy information about proposers' actions, and make postplay assessments of proposers' intentions that are rewarded based on accuracy. A first experiment explores a context of ambiguity, while a second experiment explores a context of uncertainty . The results suggest that actors' perceptions can sometimes be directly affected by the set of strategic alternatives they possess. When signals about proposer behavior appear "negative," recipients' assessments of proposers' intentions are more negative than observers' assessments if recipients have the ability to respond to the proposer's action—but not if recipients lack this ability. The ability to respond to proposer behavior appears to cause recipients to make more negative inferences about the proposer than circumstances warrant. Interestingly, recipients' and observers' assessments are indistinguishable when signals about proposer behavior instead appear "positive."     

Mothers’ Differential Treatment of Adolescent Siblings: Predicting College Attendance of Sisters Versus Brothers

Current estimates suggest that by 2015, 60% of college students will be women, a change since 1970 when 59% were men. We investigated family dynamics that might explain the growing gender gap in college attendance, focusing on an ethnically diverse sample of 522 mixed sex sibling dyads from the National Longitudinal Study of Adolescent Health. We examined whether the difference between sisters' and brothers' reports of their mothers' expectations for, and involvement in, their education during adolescence predicted their differential odds of college attendance seven years later. Sisters were more likely than brothers to attend college, and this gap was more pronounced among non-Whites and non-Asians. Sisters also had higher grades in school than their brothers. Although there were no gender differences overall in maternal educational expectations or involvement, brothers reported greater maternal involvement than sisters in non-White and non-Asian families. After controlling for family background factors, the average of siblings' reports of maternal treatment, and differences between siblings' grades, the results revealed that as sisters reported greater maternal educational expectations than their brothers, it became more likely that only the sister rather than only the brother in the family attended college. The difference between brothers' and sisters' reports of their mothers' educational involvement and their odds of attending college showed the same pattern of association but was not statistically significant. These results suggest that within-family social comparisons may play a role in sisters' and brothers' choices about attending college.     

Beyond Polls: Using Science and Student Data to Stimulate Learning

In an effort to promote learning in classrooms, political science instructors are increasingly turning to interactive teaching strategies — experiments, simulations, etc. — that supplement traditional lecture formats. In this article, I advocate the use of student-generated data as a powerful teaching tool that can be used in a variety of ways to support learning. The “data-driven classroom” is one in which original student data are collected via survey at the beginning of the course and the results presented throughout the term. Examples and case studies across multiple courses and classroom settings are used to illustrate how the method may be applied in practice. Feedback from student assessment surveys reveals strong support for the method, even among nonmajors. The article concludes with recommendations for instructors interested in creating more data-driven classrooms.