The analytic construction of D-optimal designs for the two-variable binary logistic regression model without interaction

Candidate locally D-optimal designs for the binary two-variable logistic model with no interaction, which comprise 3 and 4 support points lying in the first quadrant of the two-dimensional Euclidean space, were introduced by Haines et al. (D-optimal designs for logistic regression in two variables. In: Lopez-Fidalgo J, Rodrigez-Diaz JM, Torsney B, editors. MODA8 – advances in model-oriented designs and analysis. Heidelberg: Physica-Verlag; 2007. p. 91–98). The authors proved algebraically the global D-optimality of the 3-point design for the special case in which the intercept parameter is equal to?1.5434. However for other selected values of the intercept parameter, the global D-optimality of the proposed 3- and 4-point designs was only demonstrated numerically. In this paper, we provide analytical proofs of the D-optimality of these 3- and 4-point designs for all negative and zero intercept parameters of the binary two-variable logistic model with no interaction. The results are extended to the construction of D-optimal designs on a rectangular design space and illustrated by means of two examples of which one is a real example taken from the literature.     

To adjust or not to adjust for baseline when analyzing repeated binary responses? The case of complete data when treatment comparison at study end is of interest

The benefits of adjusting for baseline covariates are not as straightforward with repeated binary responses as with continuous response variables. Therefore, in this study, we compared different methods for analyzing repeated binary data through simulations when the outcome at the study endpoint is of interest. Methods compared included chi‐square, Fisher's exact test, covariate adjusted/unadjusted logistic regression (Adj.logit/Unadj.logit), covariate adjusted/unadjusted generalized estimating equations (Adj.GEE/Unadj.GEE), covariate adjusted/unadjusted generalized linear mixed model (Adj.GLMM/Unadj.GLMM). All these methods preserved the type I error close to the nominal level. Covariate adjusted methods improved power compared with the unadjusted methods because of the increased treatment effect estimates, especially when the correlation between the baseline and outcome was strong, even though there was an apparent increase in standard errors. Results of the Chi‐squared test were identical to those for the unadjusted logistic regression. Fisher's exact test was the most conservative test regarding the type I error rate and also with the lowest power. Without missing data, there was no gain in using a repeated measures approach over a simple logistic regression at the final time point. Analysis of results from five phase III diabetes trials of the same compound was consistent with the simulation findings. Therefore, covariate adjusted analysis is recommended for repeated binary data when the study endpoint is of interest. Copyright © 2015 John Wiley & Sons, Ltd.     

District Segregation,Race Legislation,and Black Enrollment in Charter Schools*

Objective. This article examines how segregation at the school level within districts and charter school legislation predict black enrollment levels at local charter schools. Methods. This study uses the Schools and Staffing Survey Charter School Data 1999–2000, Common Core of Data, and a unique data set of district test scores to estimate OLS regression models of black enrollment in charter schools on district racial segregation and race provisions in charter school legislation. Results. Findings suggest that segregated school districts, those districts where whites and blacks are more unevenly distributed among schools, have a larger percentage of blacks enrolled in local charter schools than districts where schools are integrated. In addition, charter schools in states that do not have a racial clause have a smaller percent of blacks in their charter schools. Conclusion. Findings suggest that black enrollment in charter schools is a function of district segregation and state policy.     

University-community partnerships in gerontological social work: building consensus around student learning

This article will demonstrate how schools of social work can collaborate with community agencies to provide a comprehensive and enriching educational experience for both student interns and participating agencies. An innovative partnership of a state school of social work with community agencies leading to a cutting-edge geriatric field education program is described. Case examples are used to illustrate the benefits of these partnerships, as well as challenges partners overcame in forging and sustaining partnerships. Necessary components of partnership development are detailed.     

Promoting leadership skills in field education:a university-community partnership to bring macro and micro together in gerontological field placements

Social workers are being called upon to utilize a wide range of skills in practice including not only skills of working directly with clients, but also skills related to practice in organizations such as program management, inter-organizational cooperation, research and evaluation. This article describes an innovative geriatric field education program that prepares social workers with leadership skills in both direct service and management, and engages community agencies as both sites for student learning and as beneficiaries of their professional development projects. Case examples are provided and benefits and challenges to the model are discussed.     

Domestic Violence and Substance Use: Tackling Complexity

Domestic violence and substance use are issues which pervadesocial work practice, yet are often on the margins of the knowledgebase for practitioners and their managers. This article providesan overview of the literature on substance use and domesticviolence, highlighting the problems with the separation of bothpractice and policy in these areas. Research on substance useand the needs of women survivors of domestic violence are explored,alongside the more substantial literature on perpetrators ofdomestic violence and patterns of substance use. The problemsof a simplistic analysis which suggest that there is a causallink between substance use and domestic violence are highlighted.Using data from an on-going research project, the sources ofthe continuing and dysfunctional separation of work in theseareas are explored.     

The disability self‐direction movement: Considering the benefits and challenges for an Australian response

The following article provides a snapshot of the current self‐direction movement within the disability sector across the industrialised world, with particular emphasis on the Australian context. As a global movement, self‐direction has been in progress for several decades through a variety of implemented responses. Despite implementation variation, all self‐direction models aim to facilitate individual control and decision making in care and support services. We describe self‐direction, its various models and programs, and explore its benefits and challenges. We conclude by making broad recommendations for decision makers involved in self‐direction. In particular, we offer a hierarchical decision tree that can be used to inform policy decisions at a systems – government policy – and organisational level.     

Assessing Competencies in Couples and Family Therapy/Counseling: A Call to the Profession

Psychometrically sound measures of family therapy competencies are necessary to assess the effectiveness of training on student performance. This article critiques the self-report and observer rating measures developed to date to assess the clinical skills of trainees in the individual and in the family therapy fields. Suggestions are made to foster future instrument development specifically designed for the field of couples and family therapy/counseling.