Parenting in Context: Impact of Neighborhood Poverty,Residential Stability,Public Services,Social Networks,and Danger on Parental Behaviors

This prospective longitudinal study examined the unique and combined effects of neighborhood characteristics on parental behaviors in the context of more distal and more proximal influences. With a sample of 368 mothers from high‐risk communities in 4 parts of the United States, this study examined relations between race (African American or European American), locality (urban or rural), neighborhood characteristics, family context, and child problem behaviors, and parental warmth, appropriate and consistent discipline, and harsh interactions. Analyses testing increasingly proximal influences on parenting revealed that initial race differences in warmth and consistent discipline disappeared when neighborhood influences were considered. Although generally culture and context did not moderate other relations found between neighborhood characteristics, family context, and child behaviors, the few interactions found highlight the complex influences on parenting.     

Implementing a Multidimensional Poverty Measure Using Mixed Methods and a Participatory Framework

Recently, there have been advances in the development of multidimensional poverty measures. Work is needed however on how to implement such measures. This paper deals with the process of selecting dimensions and setting weights in multidimensional poverty measurement using qualitative and quantitative methods in a participatory framework. We estimate the multidimensional poverty measures developed by Alkire and Foster for a particular group: persons with psychiatric diagnoses in the United States. To select relevant dimensions and their relative ordering, two discussion groups are convened: one consisting of persons with lived-experience expertise and the other consisting of people with mental health service provision or research expertise. Several methods are used to convert dimension rankings into weights. The selection and ordering of dimensions differed between the two discussion groups, as did the resulting poverty measures. For instance, the poverty headcount using the dimensions and weights of the ‘lived experience’ group ranged from 20.61 to 26.96% as compared to a range of 18.62–33.19% using those of the ‘provider/researcher’ group. One of the main results of this study is that the Alkire Foster method is sensitive to the selection of dimensions and the methods used to derive rankings and weights. It points toward the limitation of relying exclusively on small scale qualitative methods for the selection and ranking of dimensions. In addition, the participatory framework used in this study was found to be essential in interpreting results, in particular with respect to the limitations of the data set in measuring relevant dimensions.     

Projective (2n,n,λ,1)-designs

A projective (2n,n,λ,1)-design is a set $\text{D}$ of n element subsets (called blocks) of a 2n-element set V having the properties that each element of V is a member of λ blocks and every two blocks have a non-empty intersection. This paper establishes existence and non-existence results for various projective (2n,n,λ,1)-designs and their subdesigns.     

Assumptions of social mobility research in the U.S.: The case of occupational status

This paper examines the theoretical and empirical basis for common rank-orderings of occupational roles by raters throughout the world. From an illustrative comparison of occupational stratification in Australia and the United States we conclude tentatively that (1) commonalities in the socioeconomic characteristics of occupational roles provide the basis for interplace consistencies in “prestige” scores, (2) the structure of occupational mobility in the U.S. and Australia is largely similar, (3) this similar structure of occupational stratification manifests a common socioeconomic process which defines a (the?) major component of occupational mobility in capitalist, industrial (only?) societies. We infer that “prestige” scores for occupations are fallible estimates of the socioeconomic statuses of occupation, within the context of mobility processes in (at least) the U.S. and Australia.     

The program effect of batterer programs in three cities

Recent meta-analyses and experimental designs of batterer program evaluations suggest little or no program effect. This finding may be compromised by a variety of analytical issues. Instrumental variable analysis addresses some of these issues, especially the relationship of program dropout to batterer reassault. This method of analysis was, therefore, used to test for program effect in a multi-site evaluation. The sites were three well-established batterer programs using a gender-based, cognitive-behavioral approach (n = 640). Completing a batterer program reduced the likelihood of reassault by 44% to 64%, depending on the specification used. Completing a 3-month program appeared to be as effective as completing a 5 1/2- or 9-month program. This moderate effect is an accomplishment considering the problems associated with the program participants and the inconsistency in the criminal justice system at the research sites. The findings remain tentative because of weak instrumental variables for reassault, but do confirm the need for more complex analyses of program effect.     

Psychiatric inpatients' experience of nursing observation. A United Kingdom perspective

1. Nursing observation is a key component of psychiatric inpatient nursing care. 2. Patients' experiences of being observed are strongly influenced by the attitudes and behaviors of the observing nurses. 3. Patients prefer to be observed by nurses they know and who talk to them.     

An interactive three-stage model for mutual funds portfolio selection

The aim of this work is to be a useful instrument for helping finance practitioners on the selection of suitable mutual fund portfolios. The portfolio selection problem is characterized by imprecision and/or vagueness inherent in the required data and more generally, in the context where investors have to make decisions. In order to mitigate these problems, a three stage model has been proposed based on a multi-index model and considering several market scenarios described in an imprecise way by an expert. The proposed fuzzy model allows the Decision Maker to select, by means of an outranking method, a suitable portfolio taking into account the uncertainty related to the market scenarios and the imprecision and/or vagueness associated with the model data.