Full of Sound and Fury,Signifying Something: The Impact of Autonomic Arousal on EGM Gambling

An experiment was conducted to observe the influence of autonomic arousal on subsequent gambling behavior. Thirty-seven male and 32 female regular Electronic Gaming Machine (EGM) players were recruited through newspaper advertisements. Participants were randomly assigned to either: (1) a control condition, or (2) an experimental condition that introduced a loud white-noise event (80 db) at fixed 120 s intervals throughout the 5-min EGM gambling session. Galvanic Skin Response (GSR) measurements showed that the manipulation was successful in elevating autonomic arousal. The results showed differences in behavioral response to the manipulation based on prior experience with gambling problems. Persons with many gambling problems had lower average bet-sizes in the white-noise condition compared to the control, while those with few or no problems had higher average bet-sizes. The results suggest that arousal may provide different signals to gamblers with few versus many problems. Gamblers with many problems may interpret their arousal as a sign that they will soon lose money, while gamblers with few or no problems may associate feelings of arousal exclusively with winning.     

An Experiment on the Social Facilitation of Gambling Behavior

Research and theory regarding the social facilitation effect generates the expectation that the presence of other gamblers (or co-actors) in a gaming venue is likely to intensify individual gambling behavior and magnify losses. Fifty male and 66 female participants (116 total) played a computer-simulated electronic gaming machine with a fixed winning sequence, followed by an indefinite losing sequence. Measures of the intensity of gambling behavior included the final payout (a direct measure of losses), average bet-size, number of trials played, and the speed of play. Some participants received false feedback from the computer designed to suggest that other gamers in adjacent rooms were playing and sometimes winning at the same game. Persons who received both sight and sound information, including winning bells and instant messages regarding the wins of other (fake) players, placed more bets and lost more money compared to the other conditions with less information.     

The Four Es 1-Year Later: A Tool for Predicting the Development of Gambling Problems

The Four Es is a 40-item scale measuring psychological risk for the development of problem gambling behavior. One-year follow-up interviews (n = 395) from a previously reported phone survey in Queensland, Australia (n = 2,577) (Rockloff & Dyer, 2006) tested the ability of the Four Es instrument to prospectively identify persons who would later develop gambling problems. Two groups of participants were selected for the 1-year follow-up interviews, including (1) persons who had gambling problems, high-risk alcohol abuse problems, and/or substance abuse problems (abuse group); and (2) a random selection of other persons from the original survey (random group). The results indicated that the “Excess” trait, which measures impulsive behavior, was predictive of relative increases in gambling problems for both groups over the 1-year period. Additionally, the Four Es questionnaire showed good psychometric properties in the surveys, with a test-retest reliability of r = .70 and a Cronbach’s alpha reliability of α = .90 and .92 in the original and follow-up interviews, respectively.     

Modeling Correlated Discrete Uncertainties in Event Trees with Copulas

Modeling the dependence between uncertainties in decision and risk analyses is an important part of the problem structuring process. We focus on situations where correlated uncertainties are discrete, and extend the concept of the copula‐based approach for modeling correlated continuous uncertainties to the representation of correlated discrete uncertainties. This approach reduces the required number of probability assessments significantly compared to approaches requiring direct estimates of conditional probabilities. It also allows the use of multiple dependence measures, including product moment correlation, rank order correlation and tail dependence, and parametric families of copulas such as normal copulas, t‐copulas, and Archimedean copulas. This approach can be extended to model the dependence between discrete and continuous uncertainties in the same event tree.     

Using repeated-prevalence data in multi-state modeling of renal replacement therapy

Multi-state models help predict future numbers of patients requiring specific treatments but these models require exhaustive incidence data. Deriving reliable predictions from repeated-prevalence data would be helpful. A new method to model the number of patients that switch between therapeutic modalities using repeated-prevalence data is presented and illustrated. The parameters and goodness of fit obtained with the new method and repeated-prevalence data were compared to those obtained with the classical method and incidence data. The multi-state model parameters’ confidence intervals obtained with annually collected repeated-prevalence data were wider than those obtained with incidence data and six out of nine pairs of confidence intervals did not overlap. However, most parameters were of the same order of magnitude and the predicted patient distributions among various renal replacement therapies were similar regardless of the type of data used. In the absence of incidence data, a multi-state model can still be successfully built with annually collected repeated-prevalence data to predict the numbers of patients requiring specific treatments. This modeling technique can be extended to other chronic diseases.     

The Impact of Migration on the Gendering of Service Work: The Case of a West London Hotel

This article responds to a call from Kerfoot and Korczynski to investigate the gendering of service sector employment. As a characteristic of many post‐industrial economies in the global North is the growing significance of migrant workers, this article investigates the impact of migration for work on the gendering of service work. Taking the embodied and emotional labour of workers to be fundamental to service work, it describes how these are refracted and produced through migration. The article draws on 60 interviews with workers in a west London hotel who were born abroad and the human resources staff and managers who are responsible for the recruitment and promotion of the workforce. We argue that migration is an important process in the construction of the contemporary workforce in post‐industrial service economies and that migration status should be understood as intersecting with gender in the production of a gendered performance at work.     

Structural probability bounds for the strong Pareto law

By using the structural density function (Fraser 1979, Ch. 7) of the parameters of a Pareto distribution, the structural distribution function of the strong Pareto law is derived. Its fractiles have been evaluated numerically for special cases, and the results are displayed through graphs from which structural one-sided probability bounds may be found. It is shown that these graphs may also be used to find structural tolerance bounds for the Pareto distribution.     

Severe self-neglect: an epidemiological and historical perspective

Older adults with severe self-neglect have multiple deficits in various social, functional and physical domains, and often live insqualor. These individuals often present with poor personal hygiene, domestic squalor and hoarding which results in a threat to their own health as well as personal and public safety. Severe self-neglect occurs along a continuum with older adults often having cognitive and affective disorders compared with younger individuals presenting with psychiatric illnesses. In cases of severe self-neglect with hoarding, evidence has shown this behavior occurs in diverse social strata and not among the wealthy and professionals alone as believed earlier. Due to the multiple conditions associated with severe self-neglect, this population will require an interdisciplinary, multidimensional approach to reduce morbidity and mortality rates including nursing home placement. Research on this group has been limited and is rarely described in the medical and nursing literature. Future research is needed to provide practitioners with effective screening instruments and interventions on cases of severe self-neglect.     

Estimation of gene/haplotype frequencies in genetic marker systems based on phenotype data

Two equivalent methods (gene counting and maximum likelihood) for estimating gene frequencies in a general genetic marker system based on observed phenotype data are derived. Under the maximum likelihood approach, an expression is given for the estimated covariance matrix from which estimated standard errors of the estimators can be found. In addition, consideration is given to the problem of estimating gene frequencies when there are available several independent population data sets.