Assessing nontraditional couples: validity of the marital satisfaction inventory--revised with gay,lesbian, and cohabiting heterosexual couples

Thirty-one gay male couples and 28 lesbian couples were compared with 36 cohabiting heterosexual couples using the Marital Satisfaction Inventory-Revised (MSI-R), a multidimensional measure of relationship functioning intended for use with both traditional and nontraditional couples. Analyses of scales' internal consistency and factor structure supported the construct validity of this measure with nontraditional couples. Analyses of mean profiles on the MSI-R indicated that cohabiting opposite-gender and same-gender couples were more alike than different, and were more similar to nondistressed samples of married heterosexual couples from the general community than to couples in therapy. Implications of current findings for clinical assessment and intervention are considered, and directions for future research are proposed.     

Predictors of substance abuse treatment outcomes in Tennessee

In planning and implementing programs to treat substance abuse, it is important to understand which factors influence post-treatment abstinence.This article identifies and analyzes several variables important in predicting the likelihood of abstinence among substance abuse clients. The data used in this study was collected from 1,350 clients treated for alcohol or drug abuse in residential, halfway house, or outpatient facilities in Tennessee. We analyzed 22 variables as possible treatment outcome predictors by using two statistical procedures: stepwise logistic regression analysis and Quick, Unbiased, Efficient, Statistical Tree (QUEST) analysis, a tree-structured classification algorithm analysis. We found one pretreatment, five in-treatment, and three post-treatment variables to be significant predictors of treatment outcome: previous treatment history, perceived helpfulness of the treatment, simultaneous treatment for mental health, number of days in treatment,completion of treatment, special skills training during treatment, obtaining healthcare services for major physical health problem after treatment, living with someone using alcohol or drugs post treatment, and arrest record since treatment.     

Does the road to muscle rejuvenation go through Notch?

The capacity of skeletal muscles to repair and regenerate declines during aging in humans, and this decline may lead to muscle loss and frailty. Conboy et al. show that injured muscles of aging mice are defective in Notch signaling, because up-regulation of the Notch ligand, Delta-1, is impaired. Delta-1 promotes proliferation of the satellite cells that repair damaged muscles, and Conboy et al. show that experimental activation of Notch signaling is sufficient to reverse the age-related decline in muscle regenerative capacity. Extension of these important findings to humans could lead to the development of new therapeutic approaches to maintain muscle function during aging.     

Concepts and Precepts In Social Work Education

While a single elective course in human sexuality is a useful supplement to core social work courses in preparing students for the sex-related problems they will encounter, a more comprehensive sequence of learning experiences is necessary for those who wish to develop greater competence in this area.

This article describes such a sequence offered by the University of Hawaii School of Social Work which focuses on treating and preventing sex-related problems experienced by various populations, particularly the sexually oppressed These learning experiences include class and field activities, research projects, and guided experiences as sex educators at local agencies, as producers of a weekly radio program, and as leaders of small discussion groups for a basic sex education course.     

Estimation of Error and Bias in Bayesian Monte Carlo Decision Analysis Using the Bootstrap

Bayesian Monte Carlo (BMC) decision analysis adopts a sampling procedure to estimate likelihoods and distributions of outcomes, and then uses that information to calculate the expected performance of alternative strategies, the value of information, and the value of including uncertainty. These decision analysis outputs are therefore subject to sample error. The standard error of each estimate and its bias, if any, can be estimated by the bootstrap procedure. The bootstrap operates by resampling (with replacement) from the original BMC sample, and redoing the decision analysis. Repeating this procedure yields a distribution of decision analysis outputs. The bootstrap approach to estimating the effect of sample error upon BMC analysis is illustrated with a simple value-of-information calculation along with an analysis of a proposed control structure for Lake Erie. The examples show that the outputs of BMC decision analysis can have high levels of sample error and bias.     

Efficiency in religious organizations

Churches must realize that the management of their human resources is critical. The U.S. Catholic Church in recent years has been this problem take on even more significance with the apparent shortage of priests. This article considers this problem in light of a relatively new methodology, data envelopment analysis, which compares organizations to comparable best-practice units. The authors conclude that the Church would benefit from a better distribution of priests, both within and across dioceses. They also conclude that the use of deacons and priestless parishes can be effective in some circumstances.