THE CORRELATES OF HEALTHY FAMILY FUNCTIONING: THE ROLE OF CONSENSUS AND CONFLICT IN THE PRACTICE OF FAMILY THERAPY

The present study explores the relative importance of individual, dyadic and triadic measures of intrafamily functioning in predicting family health. Using self-report data from 78 families, it was found that dyadic measures pertaining to marital quality and parent-child relationships were more powerful predictors than either individual measures of emotional maturity, anxiety, self-esteem or locus of control, or triadic measures of the families' hierarchical alignments. The study also found that while mothers' and fathers' assessments of intrafamily functioning were more important than the childrens' (except for the childrens' view of parent-child relationships), the parents differed in that marital quality was more important to the mothers' evaluations of the family unit while parent-child relationships were more important to the fathers'. Compositely, the findings suggest that family health is a complex multidimensional phenomenon, and that change in a particular dimension of family life may not necessarily be greeted with consensual validation or repudiation by all family members.     

Shared planning: a new foundation for quality criteria.

The Chinese word for crisis has two characters. One for danger and one for opportunity. A crisis is a time for awakening to new perspectives and for asking different questions. The widely touted "liability crisis" in the health care field provides just such a time for new approaches. Perhaps there is a way to establish market mechanisms for decision making that gives expression to the desires and values of consumers while respecting the abilities and preferences of physicians. Quality might then be the result of natural selection or, more accurately, of market demand. Such a system would acknowledge that quality in medicine is not for defining. It's for having. Quality should be obtained in bargaining for services, not in mandates of professional regulation.     

Influential observations in principal component analysis:a case study

A number of results have been derived recently concerning the influence of individual observations in a principal component analysis. Some of these results, particularly those based on the correlation matrix, are applied to data consisting of seven anatomical measurements on students. The data have a correlation structure which is fairly typical of many found in allometry. This case study shows that theoretical influence functions often provide good estimates of the actual changes observed when individual observations are deleted from a principal component analysis. Different observations may be influential for different aspects of the principal component analysis (coefficients, variances and scores of principal components); these differences, and the distinction between outlying and influential observations are discussed in the context of the case study. A number of other complications, such as switching and rotation of principal components when an observation is deleted, are also illustrated.     

THREE APPROACHES TO FAMILY THERAPY: A STUDY OF CONVERGENCE AND DIVERGENCE*

The literature on professional development suggests that the process of segmentation or specialization within a profession logically accompanies the aggregation, dissemination and application of new and expanding bodies of knowledge. The present study empirically examines the extent and dimensions of this process of segmentation within the family therapy movement by comparing the belief and action systems of 1000 experienced family therapists oriented to one of three major models of family therapy. Two theses are suggested which may explain the findings depicting a unique patterning of similarities and differences among the three models; each implying different directives and implications for the continued growth of the interdisciplinary practice of family therapy.     

Technical Uncertainty in Quantitative Policy Analysis — A Sulfur Air Pollution Example

Expert judgments expressed as subjective probability distributions provide an appropriate means of incorporating technical uncertainty in some quantitative policy studies. Judgments and distributions obtained from several experts allow one to explore the extent to which the conclusions reached in such a study depend on which expert one talks to. For the case of sulfur air pollution from coal-fired power plants, estimates of sulfur mass balance as a function of plume flight time are shown to vary little across the range of opinions of leading atmospheric scientists while estimates of possible health impacts are shown to vary widely across the range of opinions of leading scientists in air pollution health effects.     

Assessing Cross-Media Impacts: A Comparative Risk Approach

The Oregon Department of Environmental Quality has developed a Cross-Media Comparative Risk Assessment model to address certain regulatory concerns. The model generates a Human and Ecological Risk Index for a facility releasing toxins into the environment. The risk indices are based on chemical fate and transport predictions, toxicity, population density, and ecological sensitive areas. The model can be used to rank facilities for inspection or as a tool to assess the progress of pollution prevention programs. Regulatory permitting departments can use the model to address the cross-media transfer of pollutants from one environmental compartment to another. The versatility of the model allows adaptation to each specific users needs.