Evaluating the administrative efficiency of courts

In addition to being held accountable for judicial decision, courts, like other public agencies, can and should be evaluated in terms of their administrative efficiency. This paper illustrates how courts can be evaluated in terms of their relative administrative efficiency, using a new approach—data envelopment analysis (DEA)—first proposed by Charnes et al. [1]. The DEA is based upon the economic notion of Pareto optimality which states that a given decision making unit (DMU) is inefficient if some other DMU, or some combination of other DMUs, can produce at least the same amounts of all outputs with less of some resource input and not more of any other resource. Conversely a DMU is said to be efficient if the above is not possible. Charnes et al. [1] generalized the usual input/output ratio measure of efficiency for a given unit in terms of a fractional linear program with fractional constraints. In the case of courts, the efficiency of any particular court is calculated by forming the ratio of a weighted sum of outputs to a weighted sum of inputs, where the weights for both outputs and inputs are to be selected in a manner that calculates the Pareto-Koopmans efficiency of the court. This paper reviews the DEA method and illustrates its application to a data base for 100 criminal superior courts in North Carolina.     

Integrating research,policy, and practice in juvenile justice education

This article provides an overview of the history and context leading to Florida's efforts to implement an evaluation-driven research and associated quality assurance system for its juvenile justice education policies and practices. The Juvenile Justice Educational Enhancement Program began implementing Florida's evaluation research and quality assurance system to juvenile justice education in 1998. The article includes a brief summary of articles comprising this special issue of Evaluation Review that address the Juvenile Justice Educational Enhancement Program's various functions, methodological components, data, preliminary findings, continuing evaluation research efforts, and impediments.     

The psychological contract: retaining newly employed physicians

You spend lots of time and money recruiting the best candidates to fill your physician positions. But sometimes you lose those physicians after only a year or two on the job. Discover ways to help stop the turnover and keep valued employees happy.     

Gays and lesbians in local races: a study of electoral viability

Although lesbians and gays are more visible in the political arena than in the past, there is little published research on their electoral viability. This article helps to fill that void by presenting results of experimental research featuring respondents' reactions to a hypothetical candidate for a non-partisan city council seat. Sex and sexual orientation of the candidates were manipulated so that six categories were tested: a straight woman, a lesbian, a woman rumored to be lesbian, a straight man, a gay man, and a man rumored to be gay. The findings suggest that openly gay and lesbian candidates are seen as less viable than straight candidates or those rumored to be homosexual. Hence, the extent to which a candidate portrays his or her sexual orientation appears to make a difference in the chance to win elective office.     

A research agenda for the black middle class: work stress, survival strategies, and mental health

In this article we discuss the social position of the black middle class and two forms of work stress that appear unique to this group: token stress and social rejection. We outline a research agenda for studying: (1) the relationship between these stressors and mental health in the context of the work environment, and (2) the type of strategies that appear especially efficacious (or problematic) with regard to these problems. We begin the paper with a contextual discussion of the black middle class. We then offer a set of theoretical predictions about the relationship between work stress and mental health among middle class African Americans. We conclude the article with recommendations for future research, and we identify the implications of the research agenda for social policy efforts to diversify the workplace.     

Rethinking a universal framework in the psychiatric symptom-disorder relationship

Research on disparities in health and services should include a critical examination of how social, cultural, and contextual factors affect the connection between symptoms and psychiatric disorders. Systematic differences in this connection by these factors will mean that clinicians using a universalist approach to disorders may make more diagnostic errors for certain patients (e.g., ethnic minorities, the poor). Based on the literature on normative clinical decision-making, this study tests for whether the effect of specific psychiatric disorders on key symptoms is the same for certain groups of the population. The data come from the National Comorbidity Survey. Conditional probabilities of disorders and symptoms, the elements feeding into clinical decision-making, are calculated and tested for equivalence across various racial/ethnic, educational, income, and gender groups. We find some significant differences in the relation of key symptoms to disorders across groups. These findings should encourage testing relativistic frameworks in diagnostic nosology as a step to improve clinical decision-making and reduce diagnostic and treatment disparities in mental health services.     

Perception differences between groups of employees identifying the factors that influence a return to work after a work-related musculoskeletal injury

Employee health and productivity losses as a result of work-related injury are estimated to be US dollars 1.2 trillion annually to US companies. This is approximately 14.3% of the gross domestic product [6,8,11,35]. Workers' compensation, medical care, and short and long-term disability are a part of these costs. Controlling or eliminating these costs is a problem for US employers [3,6,14,21,29]. The study discussed in this article examined the perceptions of manufacturing employees in identifying factors that influence a return to work after a work-related musculoskeletal injury. The classification of employees who participated in this study were safety professionals, supervisors and workers from the manufacturing industry in central Kentucky. The worker group consisted of material handlers, assembly line workers and quality control inspectors. The participants completed a developed survey instrument, the Return to Work Perception Survey. This survey instrument examined the perception of the participants on factors related to return to work: company policies and procedures, job satisfaction, worker relationships and work environment. The results indicated safety professionals and supervisors perceptions differ from workers on the variables of job satisfaction, worker relationships and work environment. Their perceptions did not differ on the variable relating to company policies and procedures. In addition, the safety professional and supervisor groups rated the items addressing job satisfaction higher than did the worker group. The worker group did not differ from one another on any of the factors. Implications of this study for manufacturing companies suggest (a). identifying those issues contributing to employee job satisfaction, (b). developing a plan for achieving increased job satisfaction and employee recognition at the workplace among all workers, and (c). consider allowing employees to develop new capacities and new learning, thus fostering motivation and job satisfaction [18,20].     

Missing at random (MAR) in nonparametric regression - A simulation experiment

The additive model is considered when some observations on x are missing at random but corresponding observations on y are available. Especially for this model, missing at random is an interesting case because the complete case analysis is expected to be no more suitable. A simulation experiment is reported and the different methods are compared based on their superiority with respect to the sample mean squared error. Some focus is also given on the sample variance and the estimated bias. In detail, the complete case analysis, a kind of stochastic mean imputation, a single imputation and the nearest neighbor imputation are discussed.