The Politics of Special Educational Needs

In this personal statement, I want to first identify the reasons for my interest in the debate. Secondly, to raise some issues about sociological involvement in the field of special education. Thirdly, I want to demonstrate the importance of setting the debate within the context of the educational system generally, and the wider society. Finally, some implications for future directions of a sociological and political perspective will be highlighted.     

The Impact of Social Work Education: A Personal Construct Reconceptualization

Abstract

Despite educators' and practitioners' assumptions, research on the professional socialization of social work students has generally failed to document an impact of the educational process and has consequently hampered informed debate on the nature, outcome, and processes of social work education. In this paper the impact of social work education on the individual is reconceptualized in terms of Kelly's personal construct theory, which posits the individual in social work education as personally construing the social work systems of meaning. This conceptualization formed the basis of a cross-sectional study of students at the beginning, middle, and end of social work education. The comparison showed that graduating students used a repertoire of more abstract social work constructs. They also showed an understanding of social work and its role in the world consistent with that articulated by the department in which they completed their professional education. However, a disjuncture was noted between the graduates' understanding of social work and its role in the world (social change) and the constructs they used to understand situations encountered by social workers. Possible reasons for this disjuncture are suggested.     

LOCATION OF THE OPTIMAL SAMPLING POINT FOR THE QUALITY ASSESSMENT OF CONTINUOUS STREAMS

The paper makes an appraisal of the most appropriate sampling point for situations where a single sample must be used to estimate the mean flow of a continuous stream during a set time interval. Taking ‘optimal’ to mean the point at which the estimation error variance is minimised, optimal sampling locations are obtained for constant, linear and exponential flow rates when the process variogram is assumed linear or exponential. Numerical results illustrate the significance of failing to sample at the optimal point.     

Applying Lee-Carter under conditions of variable mortality decline

The Lee-Carter method of mortality forecasting assumes an invariant age component and most applications have adopted a linear time component. The use of the method with Australian data is compromised by significant departures from linearity in the time component and changes over time in the age component. We modify the method to adjust the time component to reproduce the age distribution of deaths, rather than total deaths, and to determine the optimal fitting period in order to address non-linearity in the time component. In the Australian case the modification has the added advantage that the assumption of invariance is better met. For Australian data, the modifications result in higher forecast life expectancy than the original Lee-Carter method and official projections, and a 50 per cent reduction in forecast error. The model is also expanded to take account of age-time interactions by incorporating additional terms, but these are not readily incorporated into forecasts.     

Statistical modelling of individual animal movement: an overview of key methods and a discussion of practical challenges

With the influx of complex and detailed tracking data gathered from electronic tracking devices, the analysis of animal movement data has recently emerged as a cottage industry among biostatisticians. New approaches of ever greater complexity are continue to be added to the literature. In this paper, we review what we believe to be some of the most popular and most useful classes of statistical models used to analyse individual animal movement data. Specifically, we consider discrete-time hidden Markov models, more general state-space models and diffusion processes. We argue that these models should be core components in the toolbox for quantitative researchers working on stochastic modelling of individual animal movement. The paper concludes by offering some general observations on the direction of statistical analysis of animal movement. There is a trend in movement ecology towards what are arguably overly complex modelling approaches which are inaccessible to ecologists, unwieldy with large data sets or not based on mainstream statistical practice. Additionally, some analysis methods developed within the ecological community ignore fundamental properties of movement data, potentially leading to misleading conclusions about animal movement. Corresponding approaches, e.g. based on Lévy walk-type models, continue to be popular despite having been largely discredited. We contend that there is a need for an appropriate balance between the extremes of either being overly complex or being overly simplistic, whereby the discipline relies on models of intermediate complexity that are usable by general ecologists, but grounded in well-developed statistical practice and efficient to fit to large data sets.