Jennifer Watling Neal

The (In)compatibility of Diversity and Sense of Community

Community psychologists are interested in creating contexts that promote both respect for diversity and sense of community. However, recent theoretical and empirical work has uncovered a community-diversity dialectic wherein the contextual conditions that foster respect for diversity often run in opposition to those that foster sense of community. More specifically, within neighborhoods, residential integration provides opportunities for intergroup contact that are necessary to promote respect for diversity but may prevent the formation of dense interpersonal networks that are necessary to promote sense of community. Using agent-based modeling to simulate neighborhoods and neighborhood social network formation, we explore whether the community-diversity dialectic emerges from two principles of relationship formation: homophily and proximity. The model suggests that when people form relationships with similar and nearby others, the contexts that offer opportunities to develop a respect for diversity are different from the contexts that foster a sense of community. Based on these results, we conclude with a discussion of whether it is possible to create neighborhoods that simultaneously foster respect for diversity and sense of community.

Social Aggression and Social Position in Middle Childhood and Early Adolescence: Burning Bridges or Building Them?.

Because the mechanism of harm used in social aggression generally involves the manipulation of peer relationships, it is important to consider its social correlates. The current article uses social dominance theory as a frame to review developmental research on social aggression perpetration and three indicators of social position: sociometric status, perceived popularity, and social network position. Consistent with social dominance theory, social aggression is positively associated with indicators of social position that reflect influence in the peer hierarchy (i.e., perceived popularity and social network position). However, these behaviors are also negatively associated with indicators of social position that reflect likeability (i.e., sociometric status), suggesting that they are not without social trade-offs. Thus, depending on how social position is operationalized, social aggression can be associated with building or burning bridges to peers. Potential moderators and implications for intervention within school-based contexts are discussed.Because the mechanism of harm used in social aggression generally involves the manipulation of peer relationships, it is important to consider its social correlates. The current article uses social dominance theory as a frame to review developmental research on social aggression perpetration and three indicators of social position: sociometric status, perceived popularity, and social network position. Consistent with social dominance theory, social aggression is positively associated with indicators of social position that reflect influence in the peer hierarchy (i.e., perceived popularity and social network position). However, these behaviors are also negatively associated with indicators of social position that reflect likeability (i.e., sociometric status), suggesting that they are not without social trade-offs. Thus, depending on how social position is operationalized, social aggression can be associated with building or burning bridges to peers. Potential moderators and implications for intervention within school-based contexts are discussed.

“Kracking” the Missing Data Problem: Applying Krackhardt's Cognitive Social Structures to School-Based Social Networks

Social network analysis can enrich school-based research on childrens peer relationships. Unfortunately, accurate network analysis requires near-complete data on all students and is underutilized in school-based research because of low rates of parental consent. This article advocates Krackhardts cognitive social structures (CSS) as a solution to the problem of missing data in social network research. It compares CSS to other common strategies for dealing with missing data and shows how CSS can be used to yield more complete and precise network data. The article also uses an example of a sixth-grade classroom network to demonstrate the application of CSS and potential analyses.

Power as a Structural Phenomenon

In an effort to inform empowerment theory and research, this paper provides a structural conception of power. First, we examine the essential features present in three dominant conceptions of power in community psychology: social power, psychopolitical power, and relational power. Next, commonalities in the key features of power identified by these conceptions are explored and pared down to yield a more parsimonious conception of power that is grounded only in the structural pattern of relationships through which resources are exchanged. Drawing on social exchange theory, we offer a method for measuring this streamlined, structural conception of power that allows for its more precise examination. Finally, we discuss the implications of a structural conception and measurement of power for targeting and facilitating empowering processes and evaluating empowered outcomes.

Transforming individual civic engagement into community collective efficacy: the role of bonding social capital.

Collective efficacy is defined as residents’ perceived collective capacity to take coordinated and interdependent action on issues that affect their lives. This study explored factors associated with neighborhood collective efficacy among residents. Utilizing a national sample of 4,120 urban households provided by Annie E. Casey Foundation’s Making Connection Initiative, we investigated the mediating role of residents’ perceptions of bonding social capital (i.e. reciprocity, trust, and shared norms) in the association between civic engagement and collective efficacy. Multiple regression analyses revealed that civic engagement and bonding social capital were both directly related to collective efficacy. Additionally, bonding social capital partially mediated the relationship between civic engagement and collective efficacy. Specifically, residents who reported greater levels of civic engagement also reported higher levels of bonding social capital. In turn, residents who reported higher levels of bonding social capital also reported higher levels of neighborhood collective efficacy. We discuss implications of these findings for researchers and practitioners interested in associations of neighborhood collective efficacy.

Channels of Change: Contrasting Network Mechanisms in the Use of Interventions

This study informs community science, and seeks to narrow the research-to-practice gap, by examining how the interpersonal networks within a setting influence individuals’ use of interventions. More specifically, it explores the role of two network mechanisms—cohesion and structural similarity—in urban elementary school teachers’ use of interventions designed to improve academic and behavioral outcomes for students. Lagged regression models examine how position in advice giving networks influenced weekly use of the daily report card and peer assisted learning by kindergarten through fourth grade teachers in three schools. Results indicate that intervention use spreads among teachers with similar patterns of advice-giving relationships (i.e., via structural similarity), rather than from teachers who are sources of advice (i.e., via cohesion). These results are consistent with findings in other settings, and suggest that researchers wishing to increase the use of an intervention should select change agents based on their patterns of their relationships, rather than on their direct connections.

Enhancing Dissemination and Implementation Research Using Systems Science Methods

BackgroundDissemination and implementation (D&I) research seeks to understand and overcome barriers to adoption of behavioral interventions that address complex problems, specifically interventions that arise from multiple interacting influences crossing socio-ecological levels. It is often difficult for research to accurately represent and address the complexities of the real world, and traditional methodological approaches are generally inadequate for this task. Systems science methods, expressly designed to study complex systems, can be effectively employed for an improved understanding about dissemination and implementation of evidence-based interventions.PurposeThe aims of this study were to understand the complex factors influencing successful D&I of programs in community settings and to identify D&I challenges imposed by system complexity.MethodCase examples of three systems science methods—system dynamics modeling, agent-based modeling, and network analysis—are used to illustrate how each method can be used to address D&I challenges.ResultsThe case studies feature relevant behavioral topical areas: chronic disease prevention, community violence prevention, and educational intervention. To emphasize consistency with D&I priorities, the discussion of the value of each method is framed around the elements of the established Reach Effectiveness Adoption Implementation Maintenance (RE-AIM) framework.ConclusionSystems science methods can help researchers, public health decision makers, and program implementers to understand the complex factors influencing successful D&I of programs in community settings and to identify D&I challenges imposed by system complexity.

Linking the Levels: Network and Relational Perspectives for Community Psychology

Abstract In this article, we assert that relationships and networks are of paramount importance for understanding and improving settings, neighborhoods, communities, and larger social systems. Despite previous acknowledgements of their relevance, relational and social network perspectives and analyses remain underrepresented in community psychological research and action. Here, we claim that network and relational perspectives can provide conceptual and empirical ‘links’ between levels of analysis, more fully reflecting a transactional view. We also describe some of the sophisticated methodologies that can be employed in empirical studies drawing on these perspectives. Additionally, we contend that core concepts in community psychology such as health promotion, empowerment, coalition building, and dissemination and implementation can be better understood when employing relational and network perspectives. As an introduction to this special issue of American Journal of Community Psychology, we draw out themes and key points from the articles in the issue, and offer recommendations for future advancement of these perspectives in the field.

Expediting the Analysis of Qualitative Data in Evaluation: A Procedure for the Rapid Identification of Themes from Audio Recordings (RITA).

Qualitative data offer advantages to evaluators, including rich information about stakeholders’ perspectives and experiences. However, qualitative data analysis is labor-intensive and slow, conflicting with evaluators’ needs to provide punctual feedback to their clients. In this method note, we contribute to the literature on rapid evaluation and assessment methods by proposing procedures that evaluators can use to expedite the coding and analysis of qualitative data and comparing these procedures to other possible methods. Specifically, we outline procedures for the rapid identification of themes from audio recordings, which allow evaluators to code and analyze qualitative data without time-consuming transcription. We illustrate the use and assess the reliability of these procedures using qualitative semi-structured interview data from 18 public school administrators on how they locate information about and decide to use instructional, health, and social skills programming in their districts. Finally, we end with advantages and trade-offs of these procedures as well as recommendations for how to apply them.

Hanging out: Features of urban children's peer social networks

This paper explores associations between two demographic characteristics (i.e., sex and grade level) and the peer network features (i.e., size, density, and demographic homophily) of 144 third through eighth grade students (ages 8—15) in an urban, US elementary school with considerable diversity in race and socioeconomic status. The results offer only partial support for the two cultures theory, as sex differences in network size attenuated with increasing grade levels. The findings also highlight developmental trends, including a curvilinear effect of grade on network density and grade-level increases in cross-sex and same-race relationships. Finally, the paper includes a discussion of the importance of opportunity structures for, and the joint consideration of sex and developmental influences on, children’s peer social networks.