The influence of caregiving stressors, social support, and caregiving appraisal on marital functioning among African American wife caregivers

Using a stress and coping framework, we examined the influence of caregiving stressors, social support, and caregiving appraisal on the marital functioning of 100 African American wife caregivers. Results of separate multivariate analyses revealed received church support, caregiving burden, and caregiving satisfaction significantly predicted wives' marital functioning, when caregivers' background characteristics (age and education), length of caregiving, whether first marriage, and urban versus rural location were controlled. Receiving church support was associated with increased marital functioning. Lower levels of caregiving burden were associated with increased marital functioning. Higher levels of caregiving satisfaction were associated with increased marital functioning. Findings illuminate wives' caregiving and marital experiences, and have implications for family therapy and future research.     

An analysis of VDT monitor placement and daily hours of use for female bifocal users

A population of 72 bifocal wearers was studied to determine the relationship between VDT (video display terminal) placement for those who reported musculoskeletal pain and those who did not. The mean hours worked was 50.4 minutes (p=0.003) greater for those who reported head/neck pain versus those who did not and 48.6 minutes (p=0.004) greater for those who reported shoulder/arm pain that those who did not. There was no statistically significant difference between the means of monitor height, distance, or angle for those who reported pain symptoms versus those who did not. This study indicates that, self reported pain symptoms are correlated with hours of VDT work and that there appears to be a threshold at approximately five hours for pain symptoms among bifocal wearers. No such correlation can be made for monitor placement     

Ensuring units invariant slack selection in radial data envelopment analysis models,and incorporating slacks into an overall efficiency score

This paper introduces a new methodology ensuring units invariant slack selection in radial DEA models and incorporating the slacks into an overall efficiency score. The CCR and BCC models are units invariant in their radial component, but not in their slack component, thus changing the units of measurement of one or more variables can change the models' solution. The proposed Full Proportional Slack (FPS) methodology improves the slack selections of the CCR and BCC models by producing slack selections that (a) are units invariant, thus producing fully units invariant models, (b) maximize the relative improvements represented by the slacks, and not their values, and (c) measure the full slacks that need to be removed from their corresponding variables. The FPS methodology is a fully oriented methodology first maximizing the improvements in the variables on the side of the orientation of the model. The Proportional Slack Adjusted (PSA) methodology incorporates the FPS slacks into an overall efficiency score, making it easier to interpret and use the results. The FPS and PSA methodologies are illustrated using an input oriented VRS Loan Quality DEA model with data from the retail branch network of one of Canada's largest banks.     

Reactions of Adolescents to Their Therapist’s Serious Illness

Few publications exist on the reactions of children and adolescents to the serious illness of their therapist. This paper reviews the literature on the responses of adult patient’s and presents three vignettes of adolescents who were in treatment when their therapist was diagnosed with cancer. We discuss some of the theoretical and clinical issues these cases present and conclude that openly sharing an appropriate amount of information with the adolescents appears to further rather than impede the therapeutic process.     

Measuring unemployment

The forecasts and assumptions of government and business regarding availability of labour are based in part on official statistics has been a matter of considerable debate in recent years. In this paper the author presents his views on the interpretation of the relevant U.K. statistics.     

Minimizing makespan in an ordered flow shop with?machine-dependent processing times

We consider a generalization of the proportionate flow shop problem with the makespan objective. Each job has a processing requirement and each machine has a characteristic value. In our case, we assume that the time a job occupies a machine is equal to the processing requirement of the job plus a setup time that is equal to the characteristic value of that machine. In this paper, we consider permutation schedules and show that the problem is solvable in polynomial time when the number of machines is fixed.     

A comparative analysis of public sector restructuring in the U.S., Canada, Mexico, and the Caribbean

We examine public sector restructuring in North America and selected Commonwealth Caribbean nations. Although all the countries studied experienced significant restruc-turing in response to public debt pressures, there were major differences across coun-tries in the magnitude, pace, form, and the manner in which restructuring decisions were made. These differences reflect the state of economic development and institu-tional characteristics, e.g., the role of the state and the industrial relations system. In developing countries, international lending institutions played a major role in trans-forming the role of the state. In developed countries, the inherent stability of the eco-nomic systems and institutional pressures led to a gradualist approach to restructuring.     

Understanding increments in model performance metrics

The area under the receiver operating characteristic curve (AUC) is the most commonly reported measure of discrimination for prediction models with binary outcomes. However, recently it has been criticized for its inability to increase when important risk factors are added to a baseline model with good discrimination. This has led to the claim that the reliance on the AUC as a measure of discrimination may miss important improvements in clinical performance of risk prediction rules derived from a baseline model. In this paper we investigate this claim by relating the AUC to measures of clinical performance based on sensitivity and specificity under the assumption of multivariate normality. The behavior of the AUC is contrasted with that of discrimination slope. We show that unless rules with very good specificity are desired, the change in the AUC does an adequate job as a predictor of the change in measures of clinical performance. However, stronger or more numerous predictors are needed to achieve the same increment in the AUC for baseline models with good versus poor discrimination. When excellent specificity is desired, our results suggest that the discrimination slope might be a better measure of model improvement than AUC. The theoretical results are illustrated using a Framingham Heart Study example of a model for predicting the 10-year incidence of atrial fibrillation.