MODES OF EXPRESSION IN FAMILY THERAPY: A PROCESS STUDY OF ROLES AND GENDER*

Twenty-two two-parent families with a referred adolescent were seen by 11 male and 11 female trainees in family therapy. Mothers, fathers, adolescents, and therapists were rated for verbal expression in affective, behavioral, and cognitive! attributional modes during the first session. Results clearly point to role and content difference in modes of expression. Of particular importance are differences by role which occured as a function of therapist gender. These differences suggest that therapist gender has an impact on family therapists' and family members' verbalizations in first sessions of family therapy.     

Television as a diagnostic indicator in child therapy: An exploratory study

This paper explores the relation between television viewing and clinical indicators for the mental health profession. Television viewing is seen from a systemic process perspective, based on data about children in therapy from therapists and parents. Family viewing patterns appear to be related to certain types of clinical indicators, especially attention deficit disorder and acting out. Of particular interest is the finding of a strong association between parental viewing habits and ADD on the part of children. The results suggest that television may be a useful indicator of family health for mental health practitioners and researchers.     

Factor Multivariate Stochastic Volatility via Wishart Processes

This paper proposes a high dimensional factor multivariate stochastic volatility (MSV) model in which factor covariance matrices are driven by Wishart random processes. The framework allows for unrestricted specification of intertemporal sensitivities, which can capture the persistence in volatilities, kurtosis in returns, and correlation breakdowns and contagion effects in volatilities. The factor structure allows addressing high dimensional setups used in portfolio analysis and risk management, as well as modeling conditional means and conditional variances within the model framework. Owing to the complexity of the model, we perform inference using Markov chain Monte Carlo simulation from the posterior distribution. A simulation study is carried out to demonstrate the efficiency of the estimation algorithm. We illustrate our model on a data set that includes 88 individual equity returns and the two Fama-French size and value factors. With this application, we demonstrate the ability of the model to address high dimensional applications suitable for asset allocation, risk management, and asset pricing.     

Clinical gait and stepping performance measures in older adults

Problems with ambulation and mobility are frequent problems in older adults. Each year, about one in 100 older adults develops new severe mobility disability. Assessment of abnormal gait constitutes a major component of clinical practice and may lead to fall reduction. Clinicians can benefit from simple gait and mobility assessment tools to be used in busy clinical settings. This review focuses on gait and stepping performance measures that can be used by the busy clinician to assess gait, mobility performance, balance, and falls risk in the older adult.     

Book reviews

Wojciech Gasparski (ed.) Projektoznawstwo (Elementy wiedzy o projektowaniu) (The discipline of projest making. The elements of knowledge). Warsaw, Wydawnictow Naukowo‐Techniczne, 1988.     

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.