REVIEWS

Proffessional Books:-Walter, J. L., & Peller, J. E. (1992). Becoming solution-focused in brief therapy.
Proffessional Books:-Nelson, T. S., & trepper, T. S. (Eds.). (1993). 101 interventions in family therapy .
Proffessional Books:-Imber-Black, E. (Ed.). (1993). Secrets in families and family therapy .
Proffessional Books:-Hanks, R. S., Matocha, L., & Sussman, M. B. (Eds.). (1992). Publishing in journals on the family .
Proffessional Books:-Shapiro, C. H. (1993). When part of the self is lost: Helping clients heal after sexual and reproductive losses .
Self-Help Books:-Smith, S. L. (1993). Making peace with your adult children: A guide to family healing .
Self-Help Books:-Gilbert, R. M. (1992). Extraordinary relationships: A new way of thinking about human interactions .
Audio And Videotapereviews:- Working with Couples in Conflict . (1992). (Audiotape of a workshop of a workshop by Susan M. Heitler).
Audio And Videotape Reviews:- Couples and Communication (1992). (Videotape for teaching communication skills to couples).     

Ambivalences: a challenge to permanency for children

A key to determining a permanent plan for children in placement lies in determining and working with the history and relative intensity of parental ambivalence in the parent-child relationship as it is acted out in the placement experience. A study of cases in a public department disclosed not only indicators of parental ambivalence but also the reinforcement of that ambivalence by agency policy, working conditions, and lack of resources.     

An iterative Monte Carlo method for nonconjugate Bayesian analysis

The Gibbs sampler has been proposed as a general method for Bayesian calculation in Gelfand and Smith (1990). However, the predominance of experience to date resides in applications assuming conjugacy where implementation is reasonably straightforward. This paper describes a tailored approximate rejection method approach for implementation of the Gibbs sampler when nonconjugate structure is present. Several challenging applications are presented for illustration.     

Low-Income Children's Participation in a Public Health Insurance Program in Georgia

To expand health care coverage to uninsured, low-income children, the Congress created the State Children's Health Insurance Program (SCHIP) in 1997. Given ample evidence that state Medicaid programs have failed to enroll many eligible children, experts questioned whether SCHIP could successfully enroll low-income children. Using Georgia state SCHIP data, we analyzed enrollment patterns and identified factors contributing to program enrollment. This study found that the children's enrollment is explained by perceived costs and benefits of joining the program as well as the underlying family structure, demographic factors, and health status. We discuss implications of these findings on the participation of low-income families in public sector programs.     

Inference in model-based cluster analysis

A new approach to cluster analysis has been introduced based on parsimonious geometric modelling of the within-group covariance matrices in a mixture of multivariate normal distributions, using hierarchical agglomeration and iterative relocation. It works well and is widely used via the MCLUST software available in S-PLUS and StatLib. However, it has several limitations: there is no assessment of the uncertainty about the classification, the partition can be suboptimal, parameter estimates are biased, the shape matrix has to be specified by the user, prior group probabilities are assumed to be equal, the method for choosing the number of groups is based on a crude approximation, and no formal way of choosing between the various possible models is included. Here, we propose a new approach which overcomes all these difficulties. It consists of exact Bayesian inference via Gibbs sampling, and the calculation of Bayes factors (for choosing the model and the number of groups) from the output using the Laplace–Metropolis estimator. It works well in several real and simulated examples.     

Kurtosis and spread

An increase in kurtosis is achieved through the location- and scale-free movement of probability mass from the “shoulders” of a distribution into its centre and tails. We introduce a coherent structure of ordering and measures, requiring no symmetry assumption, that represent different formalizations of this movement. For this purpose spread functions and spread-spread plots are defined. The orderings impose growth patterns on the spread-spread plot of the distributions involved, and the weakest involve both a specific scale-matching technique and placement of “shoulders”. The role of existing kurtosis orderings and measures in this general context is identified and examples discussed throughout.     

The Time Squeeze: Parental Statuses and Feelings About Time With Children

Policy makers, parents, and the public are concerned with perceived declines in parents’ time with children. Data from two national surveys (N = 1,159 and N = 821) used in this study show that nearly half of parents report feeling too little time with children. Work hours are strongly related to these feelings, even controlling for time spent with children, and explain why fathers more than mothers feel time strain. For fathers, those whose youngest child is an adolescent feel more strain than similarly situated mothers. Controlling for work hours, single parents are not more likely than married parents to feel that they spend insufficient time with children.