Aggressive and Prosocial Behavior: Community Violence, Cognitive, and Behavioral Predictors Among Urban African American Youth

We use longitudinal multilevel modeling to test how exposure to community violence and cognitive and behavioral factors contribute to the development of aggressive and prosocial behaviors. Specifically, we examine predictors of self-, peer-, and teacher-reported aggressive and prosocial behavior among 266 urban, African American early adolescents. We examine lagged, within-person, between-person, and protective effects across 2 years. In general, results suggest that higher levels of violence exposure and aggressive beliefs are associated with more aggressive and less prosocial peer-reported behavior, whereas greater self-efficacy to resolve conflict peacefully is associated with less aggression across reporters and more teacher-reported prosocial behavior. Greater knowledge and violence prevention skills are associated with fewer aggressive and more prosocial teacher-reported behaviors. Results also suggest that greater self-efficacy and lower impulsivity have protective effects for youth reporting higher levels of exposure to community violence, in terms of teacher-reported aggressive behavior and peer-reported prosocial behavior. Differences among reporters and models are discussed, as well as implications for intervention.     

Weight Strain and Binge Drinking among Adolescents

Obesity and substance use are two common areas of research among adolescents. Interestingly, very little research examines the relationship between these two important health risk behaviors and the findings are inconsistent. Guided by Agnew’s general strain theory and using the Add Health data, we examine this neglected area of research. The current research has identified a link between weight strain and binge drinking and is supportive of the extant research on both general strain theory and the links between stigma, stress, and health. We also found some evidence that this relationship was gendered. Implications and future research directions are discussed.     

The relationship between multilevel models and non‐parametric multilevel mixture models: Discrete approximation of intraclass correlation,random coefficient distributions,and residual heteroscedasticity

Multilevel data structures are common in the social sciences. Often, such nested data are analysed with multilevel models (MLMs) in which heterogeneity between clusters is modelled by continuously distributed random intercepts and/or slopes. Alternatively, the non‐parametric multilevel regression mixture model (NPMM) can accommodate the same nested data structures through discrete latent class variation. The purpose of this article is to delineate analytic relationships between NPMM and MLM parameters that are useful for understanding the indirect interpretation of the NPMM as a non‐parametric approximation of the MLM, with relaxed distributional assumptions. We define how seven standard and non‐standard MLM specifications can be indirectly approximated by particular NPMM specifications. We provide formulas showing how the NPMM can serve as an approximation of the MLM in terms of intraclass correlation, random coefficient means and (co)variances, heteroscedasticity of residuals at level 1, and heteroscedasticity of residuals at level 2. Further, we discuss how these relationships can be useful in practice. The specific relationships are illustrated with simulated graphical demonstrations, and direct and indirect interpretations of NPMM classes are contrasted. We provide an R function to aid in implementing and visualizing an indirect interpretation of NPMM classes. An empirical example is presented and future directions are discussed.     

Efficient <Emphasis Type="Italic">n</Emphasis>-gram analysis in R with <Literal>cmscu</Literal>

We present a new R package, cmscu, which implements a Count-Min-Sketch with conservative updating (Cormode and Muthukrishnan Journal of Algorithms, 55(1), 58–75, 2005), and its application to n-gram analyses (Goyal et al. 2012). By writing the core implementation in C++ and exposing it to R via Rcpp, we are able to provide a memory-efficient, high-throughput, and easy-to-use library. As a proof of concept, we implemented the computationally challenging (Heafield et al. 2013) modified Kneser–Ney n-gram smoothing algorithm using cmscu as the querying engine. We then explore information density measures (Jaeger Cognitive Psychology, 61(1), 23–62, 2010) from n-gram frequencies (for n=2,3) derived from a corpus of over 2.2 million reviews provided by a Yelp, Inc. dataset. We demonstrate that these text data are at a scale beyond the reach of other more common, more general-purpose libraries available through CRAN. Using the cmscu library and the smoothing implementation, we find a positive relationship between review information density and reader review ratings. We end by highlighting the important use of new efficient tools to explore behavioral phenomena in large, relatively noisy data sets.     

The moderating role of subordinate political skill on supervisors' impressions of subordinate ingratiation and ratings of subordinate interpersonal facilitation

Nearly 2 decades ago, social influence theorists called for a new stream of research that would investigate why and how influence tactics are effective. The present study proposed that political skill affects the style of execution of influence attempts. It utilized balance theory to explain the moderating effect of employee political skill on the relationships between self- and supervisor-reported ingratiation. Additionally, supervisor reports of subordinate ingratiation were hypothesized to be negatively related to supervisor ratings of subordinate interpersonal facilitation. Results from a combined sample of 2 retail service organizations provided evidence that subordinates with high political skill were less likely than those low in political skill to have their demonstrated ingratiation behavior perceived by targets as a manipulative influence attempt. Also, when subordinates were perceived by their supervisors to engage in more ingratiation behavior, the subordinates were rated lower on interpersonal facilitation. Implications of these findings, limitations, and future research directions are provided.     

Seeing the silver lining: potential benefits of trauma exposure in college students

In the current study we compare college students exposed to a potentially traumatic event (PTE) meeting self-report criteria for Posttraumatic Stress Disorder (PTSD), PTE-exposed students not meeting criteria for PTSD, and non-exposed students on measures of perceived social support, self-esteem, and optimism (i.e., personal resources) and report use of specific coping strategies. Results indicate that the PTE-exposed/probable PTSD group reported fewer personal resources, greater use of avoidance-focused coping, and less use of approach-focused coping than the other two groups. The PTE-exposed/no PTSD group reported greater perceived social support and less use of avoidance-focused coping than the non-exposed group. We discuss the findings' implications for the prevention and treatment of trauma-related psychopathology.     

Episode Type,Attachment Orientation,and Frame Salience: Evidence for a Theory of Relational Framing

Relational framing theory asserts that dominance‐submission and affiliation‐disaffiliation tend to displace each other as frames for processing social interaction; involvement is argued to be a content‐free intensifier variable that contributes to judgments of dominance or affiliation as a function of the salient relational frame. The present study seeks to replicate and extend previous tests of these claims by evaluating three hypotheses: (a) The differential salience of dominance‐submission and affiliation‐disaffiliation frames as a function of the type of social episode is robust across same‐sex and cross‐sex friendship dyads; (b) the magnitude of the association between involvement and dominance and affiliation varies as a function of frame salience instantiated by the type of episode; and (c) attachment anxiety is positively correlated with the perceived relevance of both dominance‐submission and affiliation‐disaffiliation to social episodes. Results are consistent with all three of the hypotheses, but relational framing is unrelated to subscales operationalizing the comfort with closeness dimension of attachment orientation.     

Understanding Ill-Structured Engineering Ethics Problems Through a Collaborative Learning and Argument Visualization Approach

As a committee of the National Academy of Engineering recognized, ethics education should foster the ability of students to analyze complex decision situations and ill-structured problems. Building on the NAE’s insights, we report about an innovative teaching approach that has two main features: first, it places the emphasis on deliberation and on self-directed, problem-based learning in small groups of students; and second, it focuses on understanding ill-structured problems. The first innovation is motivated by an abundance of scholarly research that supports the value of deliberative learning practices. The second results from a critique of the traditional case-study approach in engineering ethics. A key problem with standard cases is that they are usually described in such a fashion that renders the ethical problem as being too obvious and simplistic. The practitioner, by contrast, may face problems that are ill-structured. In the collaborative learning environment described here, groups of students use interactive and web-based argument visualization software called “AGORA-net: Participate – Deliberate!”. The function of the software is to structure communication and problem solving in small groups. Students are confronted with the task of identifying possible stakeholder positions and reconstructing their legitimacy by constructing justifications for these positions in the form of graphically represented argument maps. The argument maps are then presented in class so that these stakeholder positions and their respective justifications become visible and can be brought into a reasoned dialogue. Argument mapping provides an opportunity for students to collaborate in teams and to develop critical thinking and argumentation skills.     

Effects of anonymous peer observation on adolescents' preference for immediate rewards

Research suggests that the presence of peers influences adolescent risk‐taking by increasing the perceived reward value of risky decisions. While prior work has involved observation of participants by their friends, the current study examined whether observation by an anonymous peer could elicit similarly increased reward sensitivity. Late adolescent participants completed a delay discounting task either alone or under the belief that performance was being observed from a neighboring room by an unknown viewer of the same gender and age. Even in this limited social context, participants demonstrated a significantly increased preference for smaller, immediate rewards when they believed that they were being watched. This outcome challenges several intuitive accounts of the peer effect on adolescent risk‐taking, and indicates that the peer influence on reward sensitivity during late adolescence is not dependent on familiarity with the observer. The findings have both theoretical and practical implications for our understanding of social influences on adolescents' risky behavior.