‘How Much Do You Spend Gambling?’: Ambiguities in Questionnaire Items Assessing Expenditure

Expenditure is a dependent variable frequently used in gambling research to index involvement and intensity. However, as a previous study found, self-reported expenditure estimates are ambiguous and imprecise. This paper attempts to (a) replicate the original study, and (b) investigate if specific instructions on methods used to calculate expenditure lead to differences in reported estimates in response to the question, ‘How much money do you spend gambling?’ A total of 637 participants were randomly assigned to one of three groups: Group 1 with no instructions; Groups 2 and 3 with instructions on calculating net and turnover. Results revealed that when heuristics were not specified, half the sample used net expenditure and the remainder used turnover. When heuristics were clearly specified, 30% failed to comply with instructions in calculating estimates. Results undermine the validity of reported gambling expenditure data and support the need for clear instructions on methods used to calculate expenditure.     

Dots,fruit, speed and pills: the Happy Consciousness of Pac-Man

Spanning 30 years and 40 individual videogames across a range of platforms, Pac-Man is one of the most recognizable of all videogame characters and a pop–culture icon. In spite of its widespread popularity, the game receives little sustained academic engagement or analysis. In an attempt to address this, the paper argues that in its classic iterations Pac-Man generates complex notions of space and time which are indicative of changing cultural, ethical and political considerations in wider society. This is explored through recourse to Borges’ work on labyrinths, Bauman’s discussion of the ethical position of videogames, Poole’s rejoinder and Ritzer’s critique of consumerism, ultimately arguing that the dynamics, themes and leitmotifs evident in Pac-Man are experienced by gamers, consumers and citizens described in Marcuse’s One Dimensional Society, whereby the welfare and warfare state coalesce to generate the Happy Consciousness.     

People and Pixels 20 years later: the current data landscape and research trends blending population and environmental data

Population and Environment - In 1998, the National Research Council published People and Pixels: Linking Remote Sensing and Social Science. The volume focused on emerging research linking changes...     

A Comparison of Older Informal Caregivers and Non-Caregivers Living in Non-Metropolitan Areas

The primary purpose of this study was tocompare the quality of life, health, and socialsupport of caregivers and non-caregivers age 65or older. A secondary purpose was to examineage identity in these two groups. This samplewas taken from a large quality of life surveyof 875 individuals age 55 or older living incommunities in northern British Columbia,Canada (Michalos et al.,2001). We restricted our sample to (a)individuals 65 years or older because we wereparticularly interested in seniors, and (b)married individuals because preliminaryanalyses indicated that marital status was apotentially confounding variable in thecaregiver/non-caregiver comparisons. Thus, oursample consisted of 239 married,community-dwelling respondents ranging in agefrom 65 to 86 years, with an average age of71.8 years. Of these respondents, 48.5% werefemales and 26.4% were caregivers. Generallyspeaking, caregivers and non-caregivers werenot significantly different in terms of qualityof life, self-reported health, and most aspectsof social support and age identity. Seniors,whether they were caregivers or not, reportedpositive levels of quality of life and healthstatus. Caregivers and non-caregivers, however,did differ in terms of: (a) their satisfactionwith their romantic relationships, withcaregivers being less satisfied, and (b) theage they felt mentally with caregivers feelingslightly older mentally than non-caregivers.Thus, caregiver status alone does not appear toresult in lower levels of quality of life,poorer mental and physical health, lower levelsof social support, or older age identitiesoverall in older, married adults living innon-metropolitan areas.     

Statistical issues in the prospective monitoring of health outcomes across multiple units

Summary.  Following several recent inquiries in the UK into medical malpractice and failures to deliver appropriate standards of health care, there is pressure to introduce formal monitoring of performance outcomes routinely throughout the National Health Service. Statistical process control (SPC) charts have been widely used to monitor medical outcomes in a variety of contexts and have been specifically advocated for use in clinical governance. However, previous applications of SPC charts in medical monitoring have focused on surveillance of a single process over time. We consider some of the methodological and practical aspects that surround the routine surveillance of health outcomes and, in particular, we focus on two important methodological issues that arise when attempting to extend SPC charts to monitor outcomes at more than one unit simultaneously (where a unit could be, for example, a surgeon, general practitioner or hospital): the need to acknowledge the inevitable between-unit variation in 'acceptable' performance outcomes due to the net effect of many small unmeasured sources of variation (e.g. unmeasured case mix and data errors) and the problem of multiple testing over units as well as time. We address the former by using quasi-likelihood estimates of overdispersion, and the latter by using recently developed methods based on estimation of false discovery rates. We present an application of our approach to annual monitoring 'all-cause' mortality data between 1995 and 2000 from 169 National Health Service hospital trusts in England and Wales.     

A tutorial on support vector regression

In this tutorial we give an overview of the basic ideas underlying Support Vector (SV) machines for function estimation. Furthermore, we include a summary of currently used algorithms for training SV machines, covering both the quadratic (or convex) programming part and advanced methods for dealing with large datasets. Finally, we mention some modifications and extensions that have been applied to the standard SV algorithm, and discuss the aspect of regularization from a SV perspective.     

Board size and firm value: evidence from Australia

We study the effect of board size on firm value in Australia. Using a large sample of Australian firms over the period 2001–2011, we find strong evidence of a negative relationship. We show that firms with a large board are associated with CEO compensation that is sensitive to firm size, but not to firm performance. This incentive to accumulate assets is congruent with the fact that firms with a large board also exhibit lower operating performance and higher operating costs. Furthermore, we find that the effect of board size is stronger in small firms. This result might explain why earlier studies, which focused on large Australian firms, found board size to have little impact on firm value.