A RANDOMIZATION PROBLEM IN FORMING DESIGNS WITH SUPERIMPOSED TREATMENTS1

Some programmes of experimentation require the superimposition of a new set of treatments on an existing experiment. Randomization of such treatments has received little attention in the literature but merits careful consideration. The present paper examines two apparently different theoretical approaches, one in effect randomizing the experiments together and the other randomizing the second experiment without reference to any randomization used in the first. In the simplest superimpositions the two methods give identical results in practice but problems arise when one Latin square is to be superimposed on another.     

Social Justice Manifest: A University–Community Partnership to Promote the Individual Right to Housing

This article examines an ongoing university–community relationship that fuses innovative technology delivery, university-outreach research, and social work practice/research education into a unique, collaborative intervention to reduce homelessness. In doing so, we apply a social justice framework to homelessness, arguing that housing is a right rather than a privilege. In the case study, a university, in partnership with a local homeless coalition, maintains a management information system to collect and analyze real-time data on homelessness in the community. The overarching social justice intention of this partnership is to improve client outcomes for homeless individuals by producing community-based research to inform policy decisions for governmental and organizational partners.     

Traditional birth attendant training and local birthing practices in India

Training birth attendants (TBAs) provide essential maternal and infant health care services during delivery and ongoing community care in developing countries. Despite inadequate evidence of relevance and effectiveness of TBA training programmes, there has been a policy shift since the 1990s in that many donor agencies funding TBA training programmes redirected funds to providing skilled attendants during delivery. This study aimed to assess the ways in which a TBA training programme in India has been successful in disseminating evidence-based knowledge on birthing practices. TBAs practicing within 16 villages targeted by training programme initiatives were administered with structured questionnaires. The post training birthing practices of trained (24) and untrained (14) TBAs was compared and birthing practices adopted by women assisted by trained (16) and untrained (9) TBAs was analysed. Positive post training practices were hand washing, use of a clean blade for cutting the cord, immediate breastfeeding and weighing of babies. Nevertheless, the training could be further improved with up to date and evidence-based information and more comprehensive instructions. The findings suggest an integration of local and evidence-based knowledge is needed to improve the training. Raising community awareness of public health measures related to maternal and child health is also recommended.     

Hope for Haiti: An analysis of Facebook and Twitter usage during the earthquake relief efforts

The Haitian earthquake devastated the small island of Hispaniola, leaving thousands dead and billions of dollars in property damage. The earthquake also ignited a firestorm of social media use by organizations. By applying framing theory to the analysis of Facebook posts and tweets sent by nonprofits and media organizations, this study discovered differences between nonprofits and media in terms of social media use. Nonprofits and media organizations used information dissemination and disclosure effectively, but failed to capitalize on the innate two-way communication nature of social media.     

Asymptotic and finite sample behavior of the time on test estimator under random censorship when lifetimes are not Exponetial

The robustness of the time on test estimator of mean life is studied in both asymptotic and finite sample situations under random censorship. The estimator is shown t o be asymptotically normal and generally in consistent , unless the life time sare exponential . The limiting value of the estimator depends on both the life time and censorship distributions . A simulations tudy of finite sample behavior shows that biases a reslight under exponentiality and serious if exponentia lity is viol at ed . The finite sample behavior is not well described by the limiting normal distribution . Jackknifing produces a useful variance estimate, but is of little value in bias correction.     

Panning for gold: a clinician's guide to using research

The gap between research and clinical practice is one of the key challenges facing family therapy. Clinicians often fail to incorporate research findings into their practice because they do not know how to search, evaluate, or apply research to their clinical work. The purpose of this article is to help clinicians become better consumers of research. This article explores the potential value of research to clinicians, as well as negative beliefs that clinicians may have about research. The article also describes how clinicians can use research to inform their clinical work, as well as potential challenges that can be encountered.     

A Comparison of Due Date Setting,Resource Assignment,and Job Preemption Heuristics for the Multiproject Scheduling Problem*

This research examines a heuristic, rule-based approach for setting due dates in a multiproject, multijob, or assembly shop. Due date estimation is a challenging problem because the operating environment is capacitated, involves the allocation of multiple resources, and allows for the preemption of resources from one project or job to another. The dynamic, continuous arrival of new jobs or orders frequently results in the preemption of resources through the application of managerially determined priority policies. These preemption policies have a significant impact on the ultimate completion time of a job or a project. A three-factor, full-factorial computer simulation experiment is used to assess the relative effectiveness of combinations of four due date setting heuristics, five resource assignment heuristics, and three resource preemption heuristics. Recommendations are made for the selection of due date and resource assignment heuristic combinations under the three preemption policies examined.     

Rationing Capacity Between Two Product Classes*

In this paper, we study the capacity allocation problem faced by make-to-order manufacturing firms encountering expected total demand in excess of available capacity. Specifically, we focus on firms' manufacturing short-life-cycle or seasonal products such as high fashion apparel. Using a decision-theory-based approach, we develop a capacity allocation policy that allows such firms to discriminate between two classes of products (one yielding a higher profit contribution per unit of capacity allocated to it than the other), resulting in selective rejection of orders for the class with the lower unit contribution. The effectiveness of capacity rationing is investigated under a wide array of conditions characterized by variations in factors such as the ratio of unit profit contributions of the two product classes, the ratio of total available capacity to expected total demand, the ratio of expected demands between the two classes, and the variability in demand for each product class. The results indicate that capacity rationing is very effective in increasing the total profit, and could therefore serve as a valuable decision tool for managers in such firms.     

A Mixed-Methods Approach to Refining and Measuring the Construct of Positive Risk-Taking in Adolescence

Adolescence is a peak period for risk-taking, but research has largely overlooked positive manifestations of adolescent risk-taking due to ambiguity regarding operationalization and measurement of positive risk-taking. We address this limitation using a mixed-methods approach. We elicited free responses from contemporary college students (N = 74, M_age = 20.1 years) describing a time they took a risk. Qualitative analysis informed the construction of a self-report positive risk-taking scale, which was administered to a population-based sample of adolescents (N = 1,249, M_age = 16 years) for quantitative validation and examination of associations with normative and impulsive personality. Sensation seeking predicted negative and positive risk-taking, whereas extraversion and openness were predominantly related to positive risk-taking. Results provide promising evidence for a valid measure of adolescents' engagement in positive risks.