Social Isolation and Lethal Violence Across the Metro/Nonmetro Divide: The Effects of Socioeconomic Disadvantage and Poverty Concentration on Homicide*

Abstract This study extends the macro‐level criminological research tradition by examining the links between socioeconomic disadvantage, poverty concentration, and homicide in metropolitan and nonmetropolitan U.S. counties. Most research in this tradition has tested structural theories using urban areas as the unit of analysis. This “urban bias” has resulted in a limited understanding of the social forces driving violence in nonmetropolitan areas. To partially address this problem, we link the literature on the spatial and social organization of nonmetropolitan communities with the social isolation perspective from the urban poverty literature. We hypothesize that the spatial concentration of poverty drives up rates of homicide in both metropolitan and nonmetropolitan areas regardless of levels of socioeconomic disadvantage. Negative binomial regression for 1,746 nonmetropolitan and 778 metropolitan counties suggest that both socioeconomic disadvantage and poverty concentration elevate homicide in metropolitan areas. However, in nonmetropolitan counties only socioeconomic disadvantage has a significant impact. We conclude by discussing the implications of these differential findings for the social isolation perspective.     

Social Work Practice with Polygamous Families

Data are based on student files of 25 Bedouin-Arab children born to senior mothers of polygamous families, and interviews with the children's teachers and mothers. Mothers complained of somatic symptoms, economic problems, poor relations with the husband, and competition and jealousy between the co-wives and among the co-wives' children. Children had a variety of behavioural problems, and below average academic achievement. Social work practice should recognize the cultural and personal significance of polygamy to family members; appreciate the significance of polygamy to children's functioning; select children as a target system for intervention; and reinforce the Islamic value base for interventions.     

The Dyadic Adjustment Scale: A Reliability Generalization Meta‐Analysis

We conducted a reliability generalization meta‐analysis to examine the internal consistency of Dyadic Adjustment Scale (DAS; Spanier, 1976 ) scores across 91 published studies with 128 samples and 25,035 participants. The DAS was found to produce total and Dyadic cohesion, Consensus, and Satisfaction scores of acceptable internal consistency, although lower than those originally reported by Spanier (1976) . Reliability estimates of these scores did not differ by the sexual orientation, gender, marital status, or ethnicity of the sample. The Affective Expression subscale was found to produce scores with poor Cronbach’s alpha across studies. Reliability estimates of Affective Expression scores were highly influenced by sample characteristics. The implications of these results are discussed as they relate to the use of the DAS in research.     

The ubiquitous angle

Summary.  Previously we used the geometry of n -dimensional space to derive the paired samples t -test and its p -value. In the present paper we describe the 'ubiquitous' application of these results to single degree of freedom linear model hypothesis tests. As examples, we derive the p - and t -values for the independent samples t -test, for testing a contrast in an analysis of variance and for testing the slope in a simple linear regression analysis. An angle θ in n -dimensional space is again pivotal in the development of the ideas. The relationships between p , t , θ , F and the correlation coefficient are also described by using a 'statistical triangle'.     

Value of a Life: What Difference Does It Make?1

A comparison of the costs and benefits of 57 lifesaving programs reveals striking disparities across agencies and programs in cost/life saved and even greater disparities in cost/life-year saved. Within a broad range the monetary value assigned to the benefits of averting a death usually does not alter the policy implications of the analyses. The findings suggest that despite the substantial disagreements and uncertainties in the theory and practice of valuing lives, careful quantitative analysis can be helpful in setting health, safety, and environmental priorities.     

Considerations on Research in Family Therapy: An Interview with Rudolf Moos

Rudolf Moos, Professor of Psychiatry, Stanford University School of Medicine and Research Career Scientist at the Palo Alto Veterans Administration Medical Centre, is not well known to Australian and New Zealand therapy circles, yet his research into instruments applicable to research into the family and its dynamics is prolific, his personal energy, integrity and dedication are admirable and his persistence at researching the very difficult areas of social environments is unequalled. This interview was recorded at the Social Ecology Laboratory at Veteran's Administration Medical Centre at Palo Alto, where he is Director of the Laboratory.