The Moral Dilemmas of Positive Discrimination

Positive discrimination is a contentious topic both politically and in social policy terms. Reasoned debate about it has been hampered by a fundamental misunderstanding about what it is and what makes it peculiar, that took hold in the immediate post-Plowden era. This paper argues that what distinguishes positive discrimination from other practices with which it has been confused, such as selectivity and positive action, can only be understood in terms of basic canons of social or distributive justice. Having established the moral standing of positive discrimination, the paper goes on to examine arguments that attempt to “justify” it either in terms of justice itself or of utility, and to identify the circumstances in which its use might be “justified” in Britain. The questions that surround its proper use are identified as being in large measure moral dilemmas.     

Good Jobs,Bad Jobs?: Understanding The Quality of Aged Care Jobs,and Why It Matters

Much research on paid care work focuses on this work as care. An equally important issue is its characteristic as paid work. This paper focuses on the characteristics of jobs in Australian aged care facilities, using data from a comprehensive 2003 national survey of direct care workers in Australian aged care facilities. It shows that, on a range of characteristics including pay, aged care jobs compare quite well with other jobs held by Australians who have similar characteristics to aged care workers. Aged care jobs are certainly not unequivocally ‘bad’ jobs. Yet turnover rates amongst these workers are quite high. The paper shows that workers' expectations about remaining in the aged care sector depend largely on their experience of work, particularly their job satisfaction. Job satisfaction, in turn, is affected most by their experience of the work of caring. As in most workplaces, the ability to use their skills without hindrance is important. But care work offers distinctive rewards not captured by notions of professional identity and commitment. The paper concludes by suggesting that a focus on these distinctive rewards will be important in fully understanding paid care work as paid work.     

Predictors of falling in older Maryland drivers: a structural-equation model

Falls can impair health and reduce quality of life among older adults. Although many factors are related to falling, few analyses examine causal models of this behavior. In this study, factors associated with falling were explored simultaneously using structural-equation modeling. A variety of cognitive, physical-performance, and health measures were administered to 694 older adult drivers from the state of Maryland. The observed and latent variables of age, cognitive ability, physical functioning, health, and falling behavior were used to create a causal model. The model revealed that being older was associated with declines in cognition, and such cognitive declines predicted increased falling. Similarly, poorer health was related to poorer physical functioning, which, in turn, also predicted increased falling. This model indicates that in addition to existing fall-prevention interventions aimed at improving physical functioning, interventions to improve cognition and health might also be effective. It is speculated that fear of falling, which often results in reduced mobility among older adults, might account for the lack of a direct relationship between age and falling. This hypothesis should be examined in further research.     

The Implications of Using Messy Data to Estimate Production-Frontier-Based Technical Efficiency Measures

An empirical study of efficiency at the plant level, requiring production and financial data, was done using frontier function specifications. It is not evident from the implementation of the production-frontier models that different methodologies will consistently flag the same observations as being efficient or inefficient. As a result, outlier diagnostics for individual observations and for subsets of observations are used to achieve a relative index of influentiality within the spectrum of efficiency. These outlier diagnostic tests consistently flag the same subset of efficient and inefficient observations as the frontier models and additionally clarify ranking discrepancies among the frontier model specifications.     

Imaging: A Tool for Data Reduction

This article illustrates the use of high-resolution color graphic images obtained from raster terminals to reduce an immense amount of data into a few meaningful time series. The steps that were taken to achieve this data reduction and their appropriate images are given. The time series were analyzed using Box and Jenkins time series methods (see also McCleary and Hay 1980), and the results are discussed.