Looking Forward Not Looking Back: The Evaluation of Community Living

This article outlines the development of evaluative methods within the field of mental handicap services. It suggests that evaluators have too often taken for granted the tacit assumptions underlying service models, using these to determine the criteria for evaluating success. It argues that evaluators should be more explicit about the values they adopt, and what patterns of life services should be enabling people to achieve. By more closely linking evaluation criteria to what people with a mental handicap should achieve, evaluation can become more effective in promoting positive change in service models. The article describes an approach developed by the authors for the evaluation of the 'All-Wales Strategy for the Development of Services for Mentally Handicapped People'.     

An analysis of two probabilistic model induction techniques

Two probabilistic model induction techniques, cart and constructor, are compared, via a series of experiments, in terms of their ability to induce models that are both interpretable and predictive. The experiments show that, although both algorithms are able to deliver classifiers with predictive performance close to that of the optimal Bayes rule,constructor is able to generate a probabilistic model that is more easily interpretable than the cart model. On the other hand, cart is a more mature algorithm and is capable of handling many more situations (e.g., real-valued training sets) thanconstructor. A variety of characteristics of both algorithms are compared, and suggestions for future research are made.     

Participation in Practice

This paper is one of a series written by members of the Mental Handicap Research Project at the University College of North Wales in connection with the All-Wales Strategy. Previous papers describe local arrangements for the planning of new services and discuss in general terms issues concerning partnership and participation. This paper describes modes of parental participation in the planning of new services for the mentally handicapped.     

Unmet service needs of families of young children with chronic illnesses and disabilities

Data about health and educational services were collected from 187 families with young children (under two years) who have chronic illnesses and disabilities. The purpose was to assess parents' satisfaction with services their families received and to identify families' unmet service needs as well as the reasons for these unmet needs. Although families' ratings of the adequacy of services are relatively high, 28% of the families report unmet service needs. The unmet needs most often reported are occupational, physical, or speech therapy; respite care/child care; and special education. Lack of funding is the most commonly given reason for unmet needs. Children with multiple impairments are at highest risk for unmet needs. Only 22% of unmet needs reported at the initial interview have been met by the time of the six-month follow-up. Increased coordination and monitoring of services across service sectors are indicated. Her research interests include the effects of disability on family identity and families' responses to minority stress. She received her Ph.D. from the University of Minnesota. She gratefully acknowledges Shelley Blazis and Nadav Casuto for statistical consulting. Her research interests focus on the impact of chronic illness and disability on families. She received her Ph.D. from the University of Minnesota. Her research interests include families and health and chronic illness and disability in children. She received her Ph.D. in Family Social Science at the University of Minnesota. His areas of interest include neurodevelopmental outcomes of low birth weight infants and training in developmental pediatrics. He was graduated from the University of Minnesota Medical School. His areas of interest include adolescents with chronic illness and disabilities, adolescent sexual decision making, and international adolescent health care issues. He was graduated from Howard University College of Medicine was awarded his earned doctorate in Health Policy from the University of Minnesota. Preparation of this article was supported by the National Institute on Disability and Rehabilitation Research Grant #H133890012.     

Online surveys for BGLT research: issues and techniques

Online surveys are becoming increasingly popular for accessing less visible and decentralized populations, including bisexual, gay, lesbian and transgender (BGLT) populations. Advances in technology and convenience for the both the researcher and the participant have facilitated this trend. In this paper, we explore issues related to conducting BGLT survey research online, such as making decisions about survey formats, target populations and recruitment, compensation, access.     

Dealing with unknown variables in policy/program evaluation

A leading objection to the feasibility of applying benefit-cost analysis in evaluation is that one often cannot know the benefits, the costs, or the probabilities of their occurring for a given proposal. Threshold analysis involves handling unknown variables by converting relevant evaluation problems into questions as to whether a given benefit, cost, probability, or combination of these elements is more or less than a threshold. Above the threshold, the proposed program would be relatively profitable; and below the threshold, it would be relatively unprofitable. Applying that analysis may require the drawing of simple graphs to stimulate the minds of knowledgeable persons as to the range of the actual benefits, costs or probabilities. The approach can be applied when the benefits or the costs are either monetary or nonmonetary, and when the problems involve either go/no-go decisions or conflicting-choice decisions.