Social Change: Toward an Informed and Critical Understanding of Social Justice and the Capabilities Approach in Community Psychology

Community psychology has long been concerned with social justice. However, deployments of this term are often vague and undertheorized. To address this weakness in the field's knowledge body we explored John Rawls's theory of social justice and Amartya Sen's economic theory of the capabilities approach and evaluated each for its applicability to community psychology theory, research, and action. Our unpacking of the philosophical and political underpinnings of Rawlsian theory of social justice resulted in identifying characteristics that limit the theory's utility in community psychology, particularly in its implications for action. Our analysis of the capability approach proposed by Amartya Sen revealed a framework that operationalizes social justice in both research and action, and we elaborate on this point. Going beyond benefits to community psychology in adopting the capabilities approach, we posit a bi‐directional relationship and discuss how community psychology might also contribute to the capabilities approach. We conclude by suggesting that community psychology could benefit from a manifesto or proclamation that provides a historical background of social justice and critiques the focus on the economic, sociological, and philosophical theories that inform present‐day conceptualizations (and lack thereof) of social justice for community psychology.     

If the Television Program Bleeds, Memory for the Advertisement Recedes

In public surveys, the most common complaint about television is the amount of violence depicted on the screen. More than half the programs shown on television are violent, and hundreds of studies have shown that viewing TV violence causes an increase in societal violence. Nevertheless, advertisers continue to sponsor violent programs. For an advertisement to be effective, people should be able to remember the brand advertised and the message in the advertisement. This article reviews the effect of TV violence on memory for ads. A meta-analysis integrating the results from 12 studies involving more than 1,700 participants shows that TV violence impairs memory for ads. The impairment occurs for males and females, for children and adults, and for people who like and do not like to watch TV violence. These results suggest that sponsoring violent programs might not be a profitable venture for advertisers.     

Effects of novel odors on intermale attack behavior in mice

Offensive, defensive, and nonagonistic social behaviors of resident male mice toward unfamiliar intruders were examined during exposure to the novel odors of chocolate or sheep's wool. Both novel odors reduced lateral attacks and boxing when compared to familiar sawdust odor. Chocolate, but not sheep's wool, also reliably increased flight behavior by residents. Neither social behaviors nor self-grooming were affected by these odors. The novel odors had no effect upon, or actually decreased, the defensive responses of intruders towards residents. The equivalent effectiveness of both predator and nonpredator odors in elevating risk assessment and suppressing attack during firsttime exposure, and the decreased potency of cat odors following repeated exposure, suggests that novelty contributes to the enhanced defensiveness seen among subjects during initial exposure to predator odors. © 1995 Wiley-Liss, Inc.     

The influence of early mother—child interaction on preschool cognitive/linguistic outcomes in a high-social-risk group

In this paper, elements of early mother—child interaction are related to later cognitive and linguistic outcomes in a sample of 53 high social risk mothers and their preschoolers. Mother—child interaction was observed longitudinally when the children were 13 and 20 months old. Multiple regression analyses were used to predict cognitive and linguistic outcomes at 3 and 5 years from measures of early mother—child interaction. The results indicated that the quality of early mother—child interaction was a significant predictor of preschool cognitive and linguistic outcomes. This was shown to be true regardless of the contribution of the mother's IQ.     

Early-occurring Maternal Depression and Maternal Negativity in Predicting Young Children’s Emotion Regulation and Socioemotional Difficulties

This longitudinal investigation examined the effects of maternal depression and concomitant negative parenting behaviors on children’s emotion regulation patterns and socioemotional functioning. One hundred fifty-one mothers and their children were assessed when children were approximately 1 1/2-, 3-, 4-, and 5-years of age. Ninety-three of the children had mothers with a history of Major Depressive Disorder (MDD) that had occurred within the first 21 months of the child’s birth, and 58 of the children had mothers without any history of MDD. Early-occurring Initial maternal depression predicted children’s dysregulated emotion patterns at age 4 and decreased perceived competence ratings at age 5. Initial maternal depression also indirectly predicted decreased child social acceptance ratings at age 5 through its association with dysregulated emotion patterns. Furthermore, the relation between maternal depression and children’s decreased social acceptance was more pronounced in those offspring with a history of high versus low maternal negativity exposure. Findings increase understanding of the processes by which maternal depression confers risk on children’s socioemotional adjustment.     

Moving beyond pure signal-detection models: comment on Wixted (2007)

The dual-process signal-detection (DPSD) model assumes that recognition memory is based on recollection of qualitative information or on a signal-detection-based familiarity process. The model has proven useful for understanding results from a wide range of memory research, including behavioral, neuropsychological, electrophysiological, and neuroimaging studies. However, a number of concerns have been raised about the model over the years, and it has been suggested that an unequal-variance signal-detection (UVSD) model that incorporates separate recollection and familiarity processes (J. T. Wixted, 2007) may provide an equally good, or even better, account of the data. In this article, the authors show that the results of studies that differentiate these models support the predictions of the DPSD model and indicate that recognition does not reflect the summing of 2 signal-detection processes, as the new UVSD model assumes. In addition, the assumptions of the DPSD model are clarified in order to address some of the common misconceptions about the model. Although important challenges remain, hybrid models such as this provide a more useful framework within which to understand human memory than do pure signal-detection models.     

Determining Public Policy and Resource Allocation Priorities for Mitigating Natural Hazards: A Capabilities-based Approach

This paper proposes a Capabilities-based Approach to guide hazard mitigation efforts. First, a discussion is provided of the criteria that should be met by an adequate framework for formulating public policy and allocating resources. This paper shows why a common decision-aiding tool, Cost-benefit Analysis, fails to fulfill such criteria. A Capabilities-based Approach to hazard mitigation is then presented, drawing on the framework originally developed in the context of development economics and policy. The focus of a Capabilities-based Approach is protecting and promoting the well-being of individuals. Capabilities are dimensions of well-being and specified in terms of functionings. Functionings capture the various things of value an individual does or becomes in his or her life, including being alive, being healthy, and being sheltered. Capabilities refer to the real achievability of specific functionings. In the context of hazard mitigation, from a Capabilities-based Approach, decision- and policy-makers should consider the acceptability and tolerability of risks along with the affectability of hazards when determining policy formulation and resource allocation. Finally, the paper shows how the proposed approach satisfies the required criteria, and overcomes the limitations of Cost-benefit Analysis, while maintaining its strengths.     

Children's Moral Evaluations of Ecological Damage: The Effect of Biocentric and Anthropocentric Intentions1

Moral evaluations of ecologically damaging events were studied in 5^th, 8^th, and 11^th graders and college students (N = 246). Participants made 4 kinds of judgments about 2 scenarios: decision rightness, damage rightness, blame of the decision maker, and blame of the agents causing the damage. In both scenarios, the decision maker's intentions varied (biocentric vs. anthropocentric) as did the damage severity. Overall, participants' judgments were less harsh when the decision maker had biocentric intentions and when the damage was less severe. However, there were age differences in use of intentions to judge decision rightness. The proposition that judgments of blame of the decision maker should be a joint function of decision and damage rightness was also supported.     

Mean-level change and intraindividual variability in self-esteem and depression among high-risk children

This study investigated mean-level changes and intraindividual variability of self-esteem among maltreated (n=142) and nonmaltreated (n=109) school-aged children from low-income families. Longitudinal factor analysis revealed higher temporal stability of self-esteem among maltreated children compared to nonmaltreated children. Cross-domain latent growth curve models indicated that nonmaltreated children showed higher initial levels and greater increases in self-esteem than maltreated children, and that the initial levels of self-esteem were significantly associated with depressive symptoms among maltreated and nonmaltreated children. The average level (mean of repeated measurements) of self-esteem was predictive of depression at the final occasion for both maltreated and nonmaltreated children. For nonmaltreated children intraindividual variability of self-esteem had a direct contribution to prediction of depression. The findings enhance our understanding of developmental changes in self-esteem and the role of the average level and within-person variability of self-esteem in predicting depressive symptoms among high-risk children.