Assessment and Intervention with Black-White Multiracial Couples

SUMMARY

Effective therapy with Black-White multiracial couples begins with therapist work on self attitudes and with sensitive assessment of the ways racism and race may or may not be connected to a couple's problems. We suggest ways to begin to explore self attitudes and suggest basic assessment questions for work with Black-White couples. In addition, we point out important clinical issues that may come up for Black-White couples in the areas of social support/social network, parenting, and grief.     

Preventing Intimate Partner Violence

ABSTRACT

Bringing together the energy, resources, creativity, and good will of citizens enhances community resilience. The shared responsibility and collective competence that emerge from community members banding together can be a powerful and ongoing positive influence on the quality of community life, including the relationships between intimate partners. We explore the importance that the community has for preventing intimate partner violence (IPV). We argue for active, network-oriented prevention efforts. We discuss key community principles and concepts (including a definition of the nature of community), explore a social organization perspective on communities, and present a theoretical approach to building community capacity. We posit implications for program development that include community as a place for prevention, a target for prevention, and as a force for prevention. Our implications for research include examining multiple community layers, the nexus of informal and formal social care systems, and contrasting extreme groups on pivotal social organization processes.     

The use of artificial neural networks and multiple linear regression in modelling work–health relationships: Translating theory into analytical practice

Although psychological theory acknowledges the existence of complex systems and the importance of nonlinear effects, linear statistical models have been traditionally used to examine relationships between environmental stimuli and outcomes. The way we analyse these relationships does not seem to reflect the way we conceptualize them. The present study investigated the application of connectionism (artificial neural networks) to modelling the relationships between work characteristics and employee health by comparing it with a more conventional statistical linear approach (multiple linear regression) on a sample of 1003 individuals in employment. Comparisons of performance metrics indicated differences in model fit, with neural networks to some extent outperforming the linear regression models, such that R ² for worn-out and job satisfaction were significantly higher in the neural networks. Most importantly, comparisons revealed that the predictors in the two approaches differed in their relative importance for predicting outcomes. The improvement is attributed to the ability of the neural networks to model complex nonlinear relationships. Being unconstrained by assumptions of linearity, they can provide a better approximation of such psychosocial phenomena. Nonlinear approaches are often better fitted for purpose, as they conform to the need for correspondence between theory, method, and data.     

Incorporating Demographic Embeddings Into Language Understanding

Meaning depends on context. This applies in obvious cases like deictics or sarcasm as well as more subtle situations like framing or persuasion. One key aspect of this is the identity of the participants in an interaction. Our interpretation of an utterance shifts based on a variety of factors, including personal history, background knowledge, and our relationship to the source. While obviously an incomplete model of individual differences, demographic factors provide a useful starting point and allow us to capture some of this variance. However, the relevance of specific demographic factors varies between situations—where age might be the key factor in one context, ideology might dominate in another. To address this challenge, we introduce a method for combining demographics and context into situated demographic embeddings—mapping representations into a continuous geometric space appropriate for the given domain, showing the resulting representations to be functional and interpretable. We further demonstrate how to make use of related external data so as to apply this approach in low‐resource situations. Finally, we show how these representations can be incorporated into improve modeling of real‐world natural language understanding tasks, improving model performance and helping with issues of data sparsity.     

Teaching practices and elementary classroom peer ecologies

Teachers and students in 39 1st, 3rd and 5th grade classrooms participated in a study of teaching practices and classroom peer networks. Teachers reported on their attitudes towards aggression and withdrawal, provided rationales for their seating arrangements, and were observed on patterns of emotional and instructional support and classroom organization. Students were surveyed or interviewed for peer nominations of friendship, popularity, being cool, and aggressive and prosocial behavior, and from these nominations classroom-level indices were derived concerning the richness of positive and negative social ties among children, the egalitarian or hierarchical nature of social status hierarchies, and classroom norms for aggressive and prosocial behavior. Preliminary results suggest that teachers' attitudes towards social behavior are associated with the degree of liking and disliking their students express; teachers' grouping patterns are associated with numerous features of classroom social networks; and teachers' observed emotional support was associated with higher rates of friendship reciprocation.     

Sex Differences,Weapon Focus,and Eyewitness Reliability

Abstract

Two aspects of eyewitness identification were tested: sex differences in eyewitness reliability and an explanation of the weapon focus effect that is based on object salience. One hundred ninety-one male and female American college students watched a slide sequence that depicted a male or female target person enacting a simple behavioral progression while holding various objects. Afterward, the subjects attempted to identify the target person in a photospread and to recall physical details about him or her on a questionnaire. The results confirmed a predicted own-sex identification bias effect (p < .001) but did not support the object salience hypothesis. An interaction between subject sex and object indicated that men and women attended to and were distracted by different types of objects (p < .009).     

Toward Relational Empowerment

Psychological empowerment has been theorized as a construct with emotional, behavioral and cognitive components. Yet, many studies have stressed that empowerment processes are contingent on interpersonal relationships. Moreover, theory suggests that power is developed and exercised through relationships. This article makes the case that expanding our conceptions of psychological empowerment through the addition of a relational component can enhance our understanding of psychological empowerment and the effectiveness of empowerment-oriented community practice. Previous research on empowerment is reviewed for relational content, and additional insights into the relational context of empowerment processes are marshaled from other concepts in community research including social capital, sense of community, social networks, social support, and citizen participation. A new iteration of the nomological network for psychological empowerment is presented, including the elements of a relational component.     

The Effect of Social Networks on the Quality of Political Thinking

In this article we investigate the effect of social networks on the quality of political thinking. First, the article introduces new social network concepts into the literature and develops the corresponding measures. Second, the article explores the quality of political thinking as a concept and develops its measures based on the volume and the causality of thoughts, and their integrative complexity. We make use of a survey to collect information on social networks and the experimental manipulation controls for the effect of policy frames. Our findings consistently show the significant negative impact of cohesive social networks on the quality of policy‐relevant thinking. We conclude that close‐knit social networks could create “social bubbles” that would limit how one communicates with others and reasons about politics.