Beyond enmeshment: evidence for the independence of intrusiveness and closeness-caregiving in married couples

In a 1996 article on family theory, we (Green & Werner) proposed that family enmeshment should not be equated with high cohesion and that the construct of enmeshment fails to discriminate between two distinct relationship processes: Closeness-caregiving and intrusiveness. In this study, our model of these two independent dimensions of family connectedness was tested by assessing spouses from 264 couples, using the California Inventory for Family Assessment (CIFA). The CIFA scales showed acceptable reliability. Significant interspouse validity correlations also were obtained. As predicted by our theory, factor analyses distinguished dimensions of intrusiveness (blurring of boundaries) from dimensions of closeness-caregiving (such as warmth and nurturance). On all but two factors, behaviors of only one spouse (but not of both) had interpretable loadings. That is, in most areas, the two spouses' behaviors did not load together to form meaningful factors. The latter finding suggests that family systems theory--with its central notion of reciprocally contingent behaviors between family members--may be useful in understanding only a few dimensions of spouses' behavior (such as reciprocal aggression) whereas personality-in-context theories may be better for understanding most other dimensions (such as warmth and nurturance).     

Marijuana use and depression

The primary goal of this study is to examine the association between marijuana use and adult depressive symptomatology. The key independent variables examined are age of marijuana initiation, frequency of current marijuana use, the use of other licit and illicit drugs, and whether marijuana was used to cope with problems. The relationships among these variables are assessed using data from the Young Men and Drugs Survey (n = 1,941), a nationally representative sample of men from the 1944-1954 birth cohort. Results show that early marijuana initiation appears to be weakly associated with increased depression in adulthood. This effect, however, is mediated by educational attainment, employment status, marital status, and other drug use, notably alcohol and tobacco use. Adult frequency of marijuana use is not significantly associated with increased depression in adulthood. Finally, marijuana users who use the drug to cope with problems are more depressed than those who do not use to cope with problems.     

AFDC/TANF Exits and Re-entries for Families Raising Children with Educational Disabilities

Having a child with a disability is considered a barrier to self-sufficiency among welfare recipients. This study examines the impact of children's educational disability on single-mother families' welfare exits and re-entries for a cohort of children in a metropolitan region in Missouri, who were born between 1982 and 1994, and received AFDC/TANF at least once from 1990 through 2008 (N=4,928). A semiparametric proportional hazards model for recurrent events is used to analyze the relationship between a child's educational disability and family welfare exit and re-entry. Results show that families with children with disabilities (the disability group) are less likely to exit and more likely to re-enter the welfare system than families with children without disabilities (the nondisability group). After the 1996 welfare reform, the welfare exit rate increases more for the disability group than for the nondisability group, while the welfare re-entry rate decreases less for the disability group than for the nondisability group.     

Biased Bootstrap Methods for Reducing the Effects of Contamination

Contamination of a sampled distribution, for example by a heavy-tailed distribution, can degrade the performance of a statistical estimator. We suggest a general approach to alleviating this problem, using a version of the weighted bootstrap. The idea is to 'tilt' away from the contaminated distribution by a given (but arbitrary) amount, in a direction that minimizes a measure of the new distribution's dispersion. This theoretical proposal has a simple empirical version, which results in each data value being assigned a weight according to an assessment of its influence on dispersion. Importantly, distance can be measured directly in terms of the likely level of contamination, without reference to an empirical measure of scale. This makes the procedure particularly attractive for use in multivariate problems. It has several forms, depending on the definitions taken for dispersion and for distance between distributions. Examples of dispersion measures include variance and generalizations based on high order moments. Practicable measures of the distance between distributions may be based on power divergence, which includes Hellinger and Kullback–Leibler distances. The resulting location estimator has a smooth, redescending influence curve and appears to avoid computational difficulties that are typically associated with redescending estimators. Its breakdown point can be located at any desired value ε∈ (0, ½) simply by 'trimming' to a known distance (depending only on ε and the choice of distance measure) from the empirical distribution. The estimator has an affine equivariant multivariate form. Further, the general method is applicable to a range of statistical problems, including regression.     

Widowhood and Well‐being in Europe: The Role of National and Regional Context

Researchers have documented that widows have lower levels of subjective well‐being than married individuals, but we still know little about how the regional and national contexts affect the impact of widowhood on well‐being. Building on social capital theory and using data from 5 rounds of the European Social Survey (N= 119,292 people, 206 regions, 23 countries), the authors tested how marital status composition at the national and regional levels affects the well‐being of widows. Widows fare worse in countries with high proportions of married people and in regions and countries with high proportions of widowed persons. The proportion of married individuals at the regional level does not affect their well‐being. These results are in line with the greedy marriage hypothesis, but varying effects at regional and national levels suggest that the standard explanation for this phenomenon, lack of individual social support, is not valid. This study demonstrates the importance of multiple contextual embeddedness.     

‘We Can All Just Get on a Bus and Go’: Rethinking Independent Mobility in the Context of the Universal Provision of Free Bus Travel to Young Londoners

This paper uses qualitative data from interviews with 118 young Londoners (age 12–18) to examine how the universal provision of free bus travel has affected young people’s independent mobility. Drawing on Sen’s capabilities approach, we argue that free bus travel enhanced young Londoners’ capabilities to shape their daily mobility, both directly by increasing financial access and indirectly by facilitating the acquisition of the necessary skills, travelling companions and confidence. These capabilities in turn extended both opportunity freedoms (e.g. facilitating non-‘necessary’ recreational and social trips) and process freedoms (e.g. feeling more independent by decreasing reliance on parents). Moreover, the universal nature of the entitlement rendered buses a socially inclusive way for groups to travel and spend time together, thereby enhancing group-level capabilities. We believe this attention to individual and group capabilities for self-determination provides the basis for a broader and more child-centred view of independent mobility than the typical research focus upon travelling without an adult and acquiring parental permissions.     

Ordinal independence in nonlinear utility theory

Individual behavior under uncertainty is characterized using a new axiom, ordinal independence, which is a weakened form of the von Neumann-Morgenstern independence axiom It states that if two distributions share a tail in common, then this tail can be modified without altering the individual's preference between these distributions. Preference is determined by the tail on which the distributions differ. This axiom implies an appealing and simple functional form for a numerical representation of preferences. It generalizes the form of anticipated utility, and it explains some well-known forms of behavior, such as the Friedman-Savage paradox, that anticipated utility cannot.