Testing for qualitative interaction of multiple sources of informative dropout in longitudinal data

Longitudinal studies suffer from patient dropout. The dropout process may be informative if there exists an association between dropout patterns and the rate of change in the response over time. Multiple patterns are plausible in that different causes of dropout might contribute to different patterns. These multiple patterns can be dichotomized into two groups: quantitative and qualitative interaction. Quantitative interaction indicates that each of the multiple sources is biasing the estimate of the rate of change in the same direction, although with differing magnitudes. Alternatively, qualitative interaction results in the multiple sources biasing the estimate of the rate of change in opposing directions. Qualitative interaction is of special concern, since it is less likely to be detected by conventional methods and can lead to highly misleading slope estimates. We explore a test for qualitative interaction based on simultaneous confidence intervals. The test accommodates the realistic situation where reasons for dropout are not fully understood, or even entirely unknown. It allows for an additional level of clustering among participating subjects. We apply these methods to a study exploring tumor growth rates in mice as well as a longitudinal study exploring rates of change in cognitive functioning for Alzheimer's patients.     

Best Nonparametric Bounds on Demand Responses

This paper uses revealed preference inequalities to provide the tightest possible (best) nonparametric bounds on predicted consumer responses to price changes using consumer‐level data over a finite set of relative price changes. These responses are allowed to vary nonparametrically across the income distribution. This is achieved by combining the theory of revealed preference with the semiparametric estimation of consumer expansion paths (Engel curves). We label these expansion path based bounds on demand responses as E‐bounds. Deviations from revealed preference restrictions are measured by preference perturbations which are shown to usefully characterize taste change and to provide a stochastic environment within which violations of revealed preference inequalities can be assessed.     

Exploring the Role of Being Out on a Queer Person's Self-Compassion

Recent changes in societal attitudes toward lesbian, gay, and bisexual identities have resulted in more people openly identifying with sexual minority status. Due to research on the effects of denying one's sexual orientation and the negative effects of this, many have advocated for more openness in queer sexual orientation. Compassion means connecting to the suffering of others not by avoiding their pain but instead by identifying it so that the feeling of kindness may emerge. Self-compassion, therefore, involves being touched by and open to one's own suffering, not avoiding or disconnecting from it, generating the desire to alleviate one's suffering and to heal oneself with kindness. The purpose of the research is to understand the impact that being out has on a queer person's self-compassion. The Self-Compassion Scale (SCS) is a 26-item, 5-point Likert measure, where a higher score equated to higher self-compassion and looked at how a person showed loving kindness to one's self through the six dimensions of self-compassion. The six dimensions of self-compassion are mindfulness, over-identification, self-kindness, self-judgment, common humanity, and isolation. Results showed that those who are totally out have a higher sense of self-compassion. Implications for practitioners working with the queer population are also discussed.     

The influence of dual‐identity development on the psychosocial functioning of African‐American gay and bisexual men

To examine the influence of racial‐ethnic and sexual identity development on the psychosocial functioning of African‐American gay and bisexual men (AAGBM), 174 AAGBM completed questionnaire packets designed to assess their levels of racial‐ethnic and sexual identity development, self‐esteem, social support, male gender role stress, HIV prevention self‐efficacy, psychological distress, and life satisfaction. The results indicate that AAGBM who possess more positive (i.e., integrated) seif‐identification as being African American and gay reported higher levels of self‐esteem, HIV prevention self‐efficacy, stronger social support networks, greater levels of life satisfaction, and lower levels of male gender role and psychological distress than their counterparts who reported less positive (i.e., less well integrated) African‐American and gay identity development. Although higher levels of racial‐ethnic identity development were associated with greater levels of life satisfaction, sexual identity development was not.     

Becoming a Social Worker: Chris' Account

Chris Murray, a young African-American male, admitted on a scholarship to a social work masters program, reflexively explores his negotiation of difference in dialogue with an Australian female social work educator twice his age. Standpoint theory and the concept of intersectionality are used to frame Chris' experiences at a private northeast US university after achieving an undergraduate degree in his southern home state. His initial access to university came through military service. Chris was interviewed by the author as part of her international study project examining social work students' experience of diversity in the classroom. The open-ended interview was designed to allow self-identity of difference. Chris ethnographically recounts to a stranger a subjectivity statement of who he is in relation to studying social work. Chris' story works the hyphen between the binary of subjectivity and objectivity through the particulars of his personal history and world-view and his expectation that I as a social work educator share his seeking of social justice. His detailing of what moved him to become a social worker and contextual complexities negotiated along the way connect to wider discourses on how agency and structure play out in lived experience in seeking social justice.     

Family problem solving: A case study

Abstract

Working with the families of young offenders may often be the best method of helping those young offenders to change. Sometimes, however, social workers and others who work with young offenders are reluctant to work with family groups because they may feel that they lack skills in family counselling. This article presents a case study which illustrates a family counselling intervention. The case study uses Family Problem Solving, a method which involves the adaptation of mainstream social work skills to work with families. It is anticipated that the article might be of interest to social workers who work with families but who feel apprehensive about counselling family groups.     

Book Reviews

Abstract

This paper explores the emergence of the social work profession in Western Australia from beginnings in the 1920s through to 1970 when the first local graduates gained employment. The authors illustrate how WA's history both connects with and diverges from patterns of the profession's development in more populous states, througt, the use of interviews conducted with pioneering social workers These oral histories illuminate how gender, class and other markings of privilege and power framed, and were framed by, the education, practice, sites of practice and career paths of social workers in the early years. Two interacting themes identified in this research were restricted employment possibilities for social workers in the State and a lack of locally available professional education until the mining boom of the sixties. The paper concludes by listing six lessons for current practitioners: the transcendent importance of reading contexts; identifying and developing relevant sites of practice; maintaining flexible boundaries of professional practice; being able to articulate a dynamic value base to drive practice; the importance of practitioners in shaping education, and continuing practitioner reflexivity.     

Inference for a binomial proportion in the presence of ties

We suppose a case is to be compared with controls on the basis of a test that gives a single discrete score. The score of the case may tie with the scores of one or more controls. However, scores relate to an underlying quantity of interest that is continuous and so an observed score can be treated as the rounded value of an underlying continuous score. This makes it reasonable to break ties. This paper addresses the problem of forming a confidence interval for the proportion of controls that have a lower underlying score than the case. In the absence of ties, this is the standard task of making inferences about a binomial proportion and many methods for forming confidence intervals have been proposed. We give a general procedure to extend these methods to handle ties, under the assumption that ties may be broken at random. Properties of the procedure are given and an example examines its performance when it is used to extend several methods. A real example shows that an estimated confidence interval can be much too small if the uncertainty associated with ties is not taken into account. Software implementing the procedure is freely available.     

Scheduling with interjob communication on parallel processors

Consider a scheduling problem in which a set of tasks needs to be scheduled on m parallel processors. Each task \(T_i\) consists of a set of jobs with interjob communication demands, represented by a weighted, undirected graph \(G_i\). The processors are assumed to be interconnected by a shared communication channel, which can be used by jobs to communicate among each other while being processed in parallel. In each time step, the scheduler assigns jobs to the processors and allows any processed job to use a certain capacity of the channel in order to satisfy (parts of) its communication demands to adjacent jobs processed in the same step. The goal is to find a schedule with minimum length in which the communication demands of all jobs are satisfied. We show that this problem is NP-hard in the strong sense even if the number of processors is constant and the underlying graph is a single path or a forest with arbitrary constant maximum degree. Consequently, we design and analyze approximation algorithms with asymptotic approximation ratio \(\min \{1.8, 1.5 \frac{m}{m-1}\}+1\) if the underlying graph G, the union of the \(G_i\), is a forest. For general graphs it is \(\min \left\{ 1.8, \frac{1.5m}{m-1}\right\} \cdot \left( \text {arb}(G) + \frac{5}{3}\right) \), where \(\text {arb}(G)\) denotes the arboricity of G.