Improving Outcomes for Unemployed and Homeless Young People: Findings of the YP4 Clinical Controlled Trial of Joined Up Case Management

Abstract

The YP⁴ study was a clinical controlled trial (CCT) of joined up services for young people experiencing both homelessness and unemployment in Victoria, Australia. The joined up service delivery (J group, n = 222) participants were offered intensive client-centred case management, involving direct provision of a range of services as well as the brokering of additional services. The standard services (S group, n = 174) participants remained eligible for standard services. Access to the Australian Government income support agency's (Centrelink) administrative data provided a retention rate close to 90% over the three annual data collection points of the study (baseline, 12 months and 24 months). Both groups improved their circumstances over the two years of the trial. The results showed no statistically significant treatment effects. The effect for employment earnings was approaching significance (p = .06) with J group increasing their employment earnings to a greater extent than S group. The findings and their implications for the implementation of joined up case management, future policy and practice, and future homelessness research is discussed.     

An invitation to quantum tomography

Summary.  We describe quantum tomography as an inverse statistical problem in which the quantum state of a light beam is the unknown parameter and the data are given by results of measurements performed on identical quantum systems. The state can be represented as an infinite dimensional density matrix or equivalently as a density on the plane called the Wigner function. We present consistency results for pattern function projection estimators and for sieve maximum likelihood estimators for both the density matrix of the quantum state and its Wigner function. We illustrate the performance of the estimators on simulated data. An EM algorithm is proposed for practical implementation. There remain many open problems, e.g. rates of convergence, adaptation and studying other estimators; a main purpose of the paper is to bring these to the attention of the statistical community.     

Domestic violence and child abuse: developing sensitive policies and guidance

Domestic violence is everywhere and nowhere. No statutory organization or health service has work with either perpetrators or survivors of domestic violence (usually women and children) as the primary focus of their service, yet all agencies will have very significant numbers among their clients/service users. It is therefore crucial that the policy framework is developed both within and between agencies to address the need, and scope, of intervention in this area and particularly the impact on children. Currently, significant steps have been taken by some agencies in the UK to address this previously neglected issue, though the developments are patchy. This paper draws on a UK‐wide research study which mapped the extent and range of service provision for families where there is domestic violence and also developed a framework of good practice indicators for provision in this area. This article examines one of the indicators of good practice arising from the research—that of policy development—within social service departments and within the multi‐agency arena. Copyright © 2001 John Wiley & Sons, Ltd.     

Giving a Voice to Women Survivors of Domestic Violence through Recognition as a Service User Group

Perhaps surprisingly, given the germinal role played by thewomen’s movement, women survivors of domestic violenceare not amongst those commonly conceptualized as service usergroups. This paper explores why this may be the case and whyit matters. It draws upon the findings of a multi-methodologicalstudy of specialist domestic violence services and of relateduser and professional views. It demonstrates the limitationsto survivors’ influence within these services, some ofthe key obstacles women experience, and the commonalities anddifferences between these and the experiences of other usergroups. In particular, the specific issues of women still ‘beingin the experience’ and of professionals who are also survivorsbut who feel unable to disclose this are discussed as usefulcontributions to the theory of service user involvement.     

A Stylometric Analysis of King Alfred's Literary Works

For centuries, Alfred the Great was judged to have translated several Latin texts into Old English. Many scholars, however, have expressed doubt whether Alfred could have done all of this work. With the availability of the Old English Corpus in electronic form, it is feasible to subject the texts to statistical stylometric analysis. We approach the problem from a Bayesian perspective where key words are identified and frequencies of the key words are tabulated for seven relevant texts. The question of authorship falls into the general statistical problem of classification where several simple innovations to classical agglomerative procedures are introduced. Our results suggest that one translation that has been traditionally attributed to Alfred (The First Fifty Prose Psalms) tends to distinguish itself from texts that are known to be Alfredian.     

Normative collective behavior in the Station building fire

Objective. This article offers a test of the normative explanation of collective behavior by examining the fire at the Station nightclub in Rhode Island that killed 100 and injured nearly 200 persons.Methods. Information on all persons at the club comes from content analysis of documents from the Rhode Island Police Department, the Rhode Island Office of the Attorney General, and The Providence Journal. We use negative binomial regression to test hypotheses about the effects of group-level predictors of the counts of dead and injured in 179 groups at the nightclub.Results. Results indicate that group-level factors such as distance of group members at the start of the fire, the number of intimate relations among them, the extent to which they had visited the nightclub prior to the incident, and the average length of the evacuation route they used predict counts of injured and dead. The research also looks at what behavioral differences exist between survivors and victims, ascertains the existence of role extension among employees of the nightclub, and provides support for the affirmation that dangerous contexts negate the protective influence of intimate relations in groups.Conclusion. We argue for the abandonment of current emphasis on irrationality and herd-like imitative behavior in studies of evacuation from structural fires in buildings and for the inclusion of group-level processes in social psychological explanations of these incidents.     

A SEMIPARAMETRIC BAYESIAN APPROACH TO NETWORK MODELLING USING DIRICHLET PROCESS PRIOR DISTRIBUTIONS

This paper considers the use of Dirichlet process prior distributions in the statistical analysis of network data. Dirichlet process prior distributions have the advantages of avoiding the parametric specifications for distributions, which are rarely known, and of facilitating a clustering effect, which is often applicable to network nodes. The approach is highlighted for two network models and is conveniently implemented using WinBUGS software.     

On a Multiple Three-Decision Problem for Comparing Several Treatments with the Best Control

In this article, a multiple three-decision procedure is proposed to classify p (≥2) treatments as better or worse than the best of q (≥2) control treatments in one way layout. Critical constants required for the implementation of the proposed procedure are tabulated for some pre-specified values of probability of no misclassification. Power function of the proposed procedure is defined and a common sample size necessary to guarantee various pre-specified power levels are tabulated under two optimal allocation schemes. Finally the implementation of the proposed methodology is demonstrated through numerical examples based on real life data.