DIFFICULT JOURNAL ARTICLE REJECTIONS AMONG PROLIFIC FAMILY THERAPISTS: A QUALITATIVE CRITICAL INCIDENT STUDY

This qualitative cirtical incident study examines the reactions and coping strategies of prolific family therapy scholars to difficult journal article rejections. Participants provide suggestions for ways to increase the likelihood of publication and to decrease the negative effects of journal article rejection. We discuss the implications of this investigations for the socialization of young professionals, the improvement of the journal review process, and the study of professional issues in family therapy.     

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).     

浅议我国木材国际贸易的比较优势

在世贸组织体制下 ,我国木材国际贸易的环境将发生重大变化。木材国际贸易对缓解我国森林资源紧张矛盾 ,促进木材产业适应国际竞争要求 ,提高产业竞争力具有重要意义。我国木材产业在我国产业体系中处于相对落后位置 ,但不等于其产品完全没有国际贸易的比较优势。该文主要通过对我国木材产业部分产品贸易比较优势的分析 ,说明我国木材产业部分产品参与国际竞争的可能性和现实性。同时 ,提出我国保持现有产品比较优势和培育新的产品比较优势的战略立足点     

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.