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.     

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.     

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.     

Reviewing challenges and the future for qualitative interviewing

ABSTRACT

In this article, we consider challenges for the existence and practice of qualitative research interviews. We review key features of qualitative interviewing, in particular the debate over the radical critique of interviewing and the nature of the data it generates, to set the scene for our arguments about the current standing and future prognosis for the method of generating data and the technologies that enable this. We look at qualitative interviewing in the context of the political project of neoliberalism and the regime of austerity associated with it, and the linked turn to what is known as ‘big data’, a feature of digital technological developments in garnering data. Qualitative researchers using interview methods have been creative in working with and resisting features of neoliberal austerity pragmatically and politically, and we provide some examples. We also consider an epistemological challenge and resistance from outside of the dominant framework – interviewing in indigenous methodologies. We argue that it is the relationship between the interview as a method of data generation for research and the ways of knowing about the world, that is the epistemology that the interview-based research proceeds from, that is crucial in considering the potentials for the method’s practice.