Two Approaches to Seeing People with Disabilities

This study tests the possibility that attitudes to people with disabilities can be divided into two types: attitudes at the societal level and attitudes at the personal level. This distinction was made with the aim of clarifying ambiguities from previous research. One test of the proposed distinction rests on the assumption that personal contact with people with disabilities will influence attitudes at the personal level but not at the societal level. Sixty subjects were assigned to either a control group or intervention groups which experienced interventions involving a person with a disability. The attitudes of all subjects were measured one month before and at the time of the intervention. Data on prior contact were also collected. The results, which supported the two level approach, are discussed in terms of their implications for improving attitudes to people with disabilities.     

A paradox in decision theory and some experimental results: The relative nature of decisions

A simple two-choice single outcome valued decision under risk is presented which should show up the limitations in the classical approach of von Neumann, its extensions and its alternatives. An empirical testing of this hypothesis strongly supports this criticism. A rationale for explaining the apparent irrational decision is put forward and the case is made for understanding the relative nature of decision choices especially when multi-criteria are involved.     

Child witness support and preparation: are parents/caregivers ignored?

Over recent decades research has confirmed the sensible belief that to participate in criminal proceedings (that were designed for adults) child witnesses may benefit from support and preparation. This is so even in countries where special measures have been introduced to make it less arduous for children to give their testimony (e.g. closed circuit television to allow children to testify away from the actual courtroom; video recorded evidence‐in‐chief). Indeed, it could be argued that as more and more children provide testimony (e.g. as alleged victims or witnesses), the more comprehensive should be preparation and support programmes for them. However, while in some countries preparation and support programmes are now offered to such children, the needs of these children's (non‐offending) parents/caregivers seem to be ignored. This paper contends not only that these adults need preparation and support but also that the provision of this is likely to benefit child witnesses. Copyright © 2006 John Wiley & Sons, Ltd.     

Biomedical research: Are we getting value for money?

Billions of dollars are spent on biomedical research every year, but what tangible benefits for patients result from this massive investment? Iain Chalmers suggests that the research community has become seriously dysfunctional, that patients and the public should expect better dividends from their support of biomedical research, and that the entire research community must provide better, more effective research or risk losing the support of the public.     

Predicting Oscar winners

Each year, hundreds of millions of people worldwide watch the televised Oscars ceremony. Can one predict which films and which directors, actors and actresses will win the Oscars? Iain Pardoe believes that he can.     

Wavelet deconvolution in a periodic setting

Summary.  Deconvolution problems are naturally represented in the Fourier domain, whereas thresholding in wavelet bases is known to have broad adaptivity properties. We study a method which combines both fast Fourier and fast wavelet transforms and can recover a blurred function observed in white noise with O { n    log ( n )²} steps. In the periodic setting, the method applies to most deconvolution problems, including certain 'boxcar' kernels, which are important as a model of motion blur, but having poor Fourier characteristics. Asymptotic theory informs the choice of tuning parameters and yields adaptivity properties for the method over a wide class of measures of error and classes of function. The method is tested on simulated light detection and ranging data suggested by underwater remote sensing. Both visual and numerical results show an improvement over competing approaches. Finally, the theory behind our estimation paradigm gives a complete characterization of the 'maxiset' of the method: the set of functions where the method attains a near optimal rate of convergence for a variety of L ^p loss functions.     

Public expenditure in the UK: how measures matter

Summary.  Studying spending over time requires reliable data. It is not clear that such data exist in the UK, however. The two published sources of functional spending numbers—the Office for National Statistics's 'blue book' and Her Majesty's Treasury's Public Expenditure Statistical Analyses (PESA)—rely on estimates of past spending, using a link year method, rather than recalculating actual spending figures when functional definitions change. We assess the various measures of spending in the UK. Specifically, we do two things. First, we present a new, third, set of spending numbers applying temporally consistent functional definitions to PESA microdata. Second, we compare the three measures. Our analyses indicate that the Office for National Statistics and PESA data differ quite markedly, especially for certain functions, i.e. in some cases the two measures imply completely different histories. The differences between the original PESA data and our new measures are less pronounced on average, though significant differences are evident, especially year by year.     

Bilingual Education in the United States: A window on the Latvian situation

In this paper, we look at US experiences with bilingual education, both past and present. We especially focus on various theoretical models and their applications. After a discussion of these models and applications, we identify a number of best practices.     

Applying discrete choice models to predict Academy Award winners

Summary.  Every year since 1928, the Academy of Motion Picture Arts and Sciences has recognized outstanding achievement in film with their prestigious Academy Award, or Oscar. Before the winners in various categories are announced, there is intense media and public interest in predicting who will come away from the awards ceremony with an Oscar statuette. There are no end of theories about which nominees are most likely to win, yet despite this there continue to be major surprises when the winners are announced. The paper frames the question of predicting the four major awards—picture, director, actor in a leading role and actress in a leading role—as a discrete choice problem. It is then possible to predict the winners in these four categories with a reasonable degree of success. The analysis also reveals which past results might be considered truly surprising—nominees with low estimated probability of winning who have overcome nominees who were strongly favoured to win.