Contemporary American stepparenthood: Integrating cohabiting and nonresident stepparents

Our understanding of contemporary stepfamily life requires incorporating emerging trends in cohabitation and nonresident stepparenting into our `traditional' definition of a stepparent (married adult with resident stepchildren). Using the National Survey of Families and Households, I provide a demographic profile of stepparents that includes cohabiting and nonresident stepparents. Adopting this revised view of stepparenthood alters our knowledge of both the prevalence and composition of stepparent families. The `traditional' definition of a stepparent is shown to describe less thanhalf of all stepparents today. Results also highlight diversity in stepparents' parenting obligations and sociodemographic characteristics. This revised view of stepparenthood has implications for future research on and policy targeted at stepfamilies.     

A NEW CLASS OF MODELS FOR THE DISCRIMINANT PROBLEM

Discriminant analysis is relevant to business decision making in a variety of contexts, such as when one decides to make or buy a specified component, fund a venture project, or hire a particular person. Potential applications in artificial intelligence, particularly in the area of pattern recognition, have further underscored the importance of the field. A recent innovation in discriminant analysis is provided by special linear programming (LP) models, which offer attractive alternatives to classical statistical approaches. The scope of application in which discriminant analysis can be advantageously employed is broadened by the flexibility to tailor parameters in the LP approaches to reflect diverse goals and by the power to explore the sensitivity of these parameters. In spite of the promise of the LP formulations, however, limitations to their effectiveness have been uncovered in certain settings. A recent advance involving a normalization construct removes some of the limitations but entails solving the LP model twice (to allow for different signs of a normalization constant) and does not yield equivalent solutions for different rotations of the problem data. This paper introduces a new model and a new class of normalizations that remedy both remaining limitations, making it possible to take advantage of the modeling capabilities of the LP formulations without the attendant shortcomings encountered by earlier investigations. Our development shows by empirical testing and illustrative analysis that the quality of solutions from LP discriminant approaches is more favorable (relative to the classical model) than previously supposed.     

Functional analysis of high-content high-throughput imaging data

High-content automated imaging platforms allow the multiplexing of several targets simultaneously to generate multi-parametric single-cell data sets over extended periods of time. Typically, standard simple measures such as mean value of all cells at every time point are calculated to summarize the temporal process, resulting in loss of time dynamics of the single cells. Multiple experiments are performed but observation time points are not necessarily identical, leading to difficulties when integrating summary measures from different experiments. We used functional data analysis to analyze continuous curve data, where the temporal process of a response variable for each single cell can be described using a smooth curve. This allows analyses to be performed on continuous functions, rather than on original discrete data points. Functional regression models were applied to determine common temporal characteristics of a set of single cell curves and random effects were employed in the models to explain variation between experiments. The aim of the multiplexing approach is to simultaneously analyze the effect of a large number of compounds in comparison to control to discriminate between their mode of action. Functional principal component analysis based on T-statistic curves for pairwise comparison to control was used to study time-dependent compound effects.     

The Legacy of Lynching? An Empirical Replication and Conceptual Extension

Research shows enduring impacts of lynching on a variety of modern outcomes. For instance, Messner, Baller, and Zevenbergen found that lynching is associated with contemporary white-on-black homicide. We propose a model describing how events from the past can have effects on events in the present. Essential to our framework is the notion of social forces of “resistance” that can impede or facilitate the temporal transmission of collective memories. We test “indicators of resistance” that influence the transmission of a collective memory supportive of a “legacy of lynching.” Analyses reveal that the positive and significant association between lynching and white-on-black homicide observed by Messner et al. is attenuated and becomes statistically nonsignificant with the inclusion of these indicators. Our results suggest that the temporal transmission of a racist cultural schema manifested through lynching is more likely where resistance is low. These findings have implications for how researchers can study historical legacies.     

Conceptualising and Measuring Social Cohesion in Africa: Towards a Perceptions-Based Index

Social cohesion is a key concept in development studies. Weak social cohesion is often related to slow economic growth and (violent) conflict. So far few attempts have been made to measure this complex concept in a systematic manner. This paper introduces an innovative method to measure national-level social cohesion based on survey data from 19 African countries. We distinguish three dimensions of social cohesion; i.e. the extent of perceived inequalities, the level of societal trust, and the strength of people’s adherence to their national identity. Importantly, our Social Cohesion Index (SCI) is based on individuals’ perceptions vis-à-vis these three different dimensions of social cohesion rather than certain macro-level ‘objective’ indicators such as GDP/capita or Gini-coefficients. We develop two social cohesion indices: a national average SCI and a Social Cohesion Index Variance-Adjusted (SCIVA); the latter one takes into account the level of variation across different ethnic groups within countries. The SCI and SCIVA are computed for and compared across nineteen African countries for the period 2005–2012 on the basis of Afrobarometer survey rounds 3, 4 and 5. We also investigate quantitatively the relationship between countries’ levels of social cohesion and the occurrence of a range of conflict events. As expected, we find that countries with low levels of social cohesion in a particular year according to our SCI are more likely to experience a range of different violent conflict events in the subsequent year.     

Leadership’s Role in Process Safety: An Understanding of Behavioral Science Among Managers and Executives Is Needed

ABSTRACT

A recent prevalence of high visibility catastrophic events has garnered increased attention to process safety issues. While the use of Behavior-Based Safety interventions demonstrate a reduction in workplace injuries by targeting employee behavior, we believe that process safety requires a greater focus on the behavior of leaders (e.g., creating and executing strategy). One effective method to begin targeting leader behavior for the improvement of process safety is to teach leaders about the principles of behavior, including ways by which the science may be applied within their own organizational models.     

Examining the interplay of an organization's prior reputation,CEO's visibility,and immediate response to a crisis

In one of only a few crisis communication research studies taking a relational approach, examining the effects of a company's prior reputation in publics’ responses to a given crisis situation, Lyons and Cameron (2004) found that both reputation and response profoundly affected publics’ attitude and behavioral intentions toward an organization involved in a crisis situation, using hypothetical, fictitious organizations and crises. Using actual organizations and crises, our research team designed a 2 (reputation: good vs. bad) × 2 (crisis response: apologetic vs. defensive) × 2 (CEO visibility in immediate crisis response: visible vs. invisible) within-subjects experiment (N = 102) to examine the variances in stakeholders’ attitudes and behavioral intentions toward a company after being exposed to online video that delivered a corporate crisis response. Findings were counter-intuitive: a defensive response to a crisis is as acceptable to crisis stakeholders as an apologetic response if the CEO is visible (or audible) in the response and if the pre-crisis company-stakeholder reputation is positive. Good reputation, defensive crisis response and CEO visibility in immediate response to a crisis resulted in the best stakeholder attitudes and purchase intentions.     

Effects of Gambling-Related Cues on the Activation of Implicit and Explicit Gambling Outcome Expectancies in Regular Gamblers

The current research examined whether the presentation of gambling-related cues facilitates the activation of gambling outcome expectancies using both reaction time (RT) and self-report modes of assessment. Gambling outcome expectancies were assessed by having regular casino or online gamblers (N = 58) complete an outcome expectancy RT task, as well as a self-report measure of gambling outcome expectancies, both before and after exposure to one of two randomly assigned cue conditions (i.e., casino or control video). Consistent with hypotheses, participants exposed to gambling-related cues (i.e., casino cue video condition) responded faster to positive outcome expectancy words preceded by gambling prime relative to non-gambling prime pictures on the post-cue RT task. Similarly, participants in the casino cue video condition self-reported significantly stronger positive gambling outcome expectancies than those in the control cue video condition following cue exposure. Activation of negative gambling outcome expectancies was not observed on either the RT task or self-report measure. The results indicate that exposure to gambling cues activates both implicit and explicit positive gambling outcome expectancies among regular gamblers.     

Building,Engaging, and Sustaining a Continuum of Care From Harm Reduction to Recovery Support: The Rutgers Alcohol and Other Drug Assistance Program

Since 1983, the focus of the Rutgers Alcohol and Other Drug Assistance Program (ADAP) has been developing policies, training staff to identify students at risk, developing and implementing evidence-based screening and brief interventions, providing short-term counseling by professionals trained in alcohol and other drug abuse to assist students beyond brief interventions, identifying effective treatment for college students, developing a campus recovery program, on-campus recovery housing, and other supports for students in recovery. This article presents a case study of the Rutgers ADAP program, of building and sustaining a program committed to engaging students in both evidence-based risk reduction interventions and an on-campus recovery community given their stage of change and motivation to make changes. Historical milestones are described as part of a creative model for intervention. We identify the challenges of integrating substance abuse recovery into campus mental health programs, and of integrating recovery into other university communities.