The Cognitive-Behavioural Approach with Depressed Clients

Correspondence to Dr Michael Seott, Liverpool Personal Service Society, 34, Stanley Street, Liverpool L1 6AN Summary The recent cognitive revolution in psychology has meant thatan individual's behaviour is now rarely viewed in simple behaviouristterms as solely a product of rewards and punishments, but isseen as influenced by the individual's own, often idiosyncratic,view of their situation. This new paradigm has enabled the developmentof highly structured and usually brief interventions in manyareas of individual emotional problems. This paper describes Individual and Group Cognitive Therapywith depressed clients and cites two recent outcome studies.The contribution of Cognitive-Behaviour Therapy (CBT) to thisarea of emotional distress is noted with the caveat that itseffectiveness has been more thoroughly studied in this areathan in others.     

Other Voices

This column is devoted to informing VGQ readers of important articles in other journals. All articles are published by the American Personnel and Guidance Association unless otherwise noted. Single copies of back issues may be ordered from APGA Publication Sales, Two Skyline Place, Suite 400, 5203 Leesburg Pike, Falls Church, Virginia 22041.     

Ex Ante and Ex Post: What Does Rod Stewart Really Know Now?1

Do we really know whether or not we have “maximized” utility, or do we just know that we are “happy” or “sad”? We argue that we can never know objectively whether or not utility has been maximized; however, people acting on a free market are sufficiently close to the decision as to be able to hazard a better guess about their opportunity costs than policy makers.     

A Bayesian Non-parametric Comparison of Two Treatments

In this paper we present a Bayesian non-parametric analysis of survival time data, involving information from two types of treatment. We present an easy to compute Bayes factor comparing two model assumptions: no treatment difference and treatment difference and use this to model summaries for each of the two treatments, in particular predictive distributions.     

Computations via Auxiliary Random Functions for Survival Models

Abstract.  A new simulation method, auxiliary random functions is introduced. When used within a Gibbs sampler, this method enables a unified treatment of exact, right-censored, left-censored, left-truncated and interval censored data, with and without covariates in survival models. The models and methods are exemplified via illustrative analysis.     

Official Statistics and Social Interaction

THE USE OF OFFICIAL STATISTICS IN SOCIOLOGY , by Barry Hindess
UNDERSTANDING EVERYDAY LIFE , edited by Jack D. Douglas
ETHNOMETHODOLOGY , edited by Roy Turner
ON THE BEGINNING OF SOCIAL INQUIRY by P. McHugh, S. Raffel, D. C. Foss and A. F. Blum     

Markov Beta and Gamma Processes for Modelling Hazard Rates

This paper generalizes the discrete time independent increment beta process of Hjort (1990 ), for modelling discrete failure times, and also generalizes the independent gamma process for modelling piecewise constant hazard rates ( Walker and Mallick, 1997 ). The generalizations are from independent increment to Markov increment prior processes allowing the modelling of smoothness. We derive posterior distributions and undertake a full Bayesian analysis.     

SLEEPING WITH THE ENEMY: THE ECONOMIC COST OF INTERNAL ENVIRONMENTAL CONFLICTS

This paper extends the literature on collective rent‐seeking by introducing the possibility that a competing group may be a subset of another. We develop a model that incorporates the potential for some individuals to be party of both sides of a conflict, which creates interdependence of payoffs. Results indicate that strategic individual behavior, and the resulting rent dissipation, is affected by the relative size of the groups. We conduct an experimental test of the model and find that observed laboratory behavior corresponds well with the game‐theoretic comparative‐static predictions. (JEL C72, C9, Q5, D74)