Ways in which gambling researchers receive funding from gambling industry sources

Using data from computer-assisted telephone interviews with 1000 18- to 24-year old Australians, the structure underlying participation in 12 gambling activities was investigated. Factor analysis indicated that activities were differentiated into those that are chance-based, involve selecting a winner and involve individuals' skills. Gambling problems, assessed using a four-item factor, were related to participation in the two skill-based activity types. Males participated in these more than females. Age was positively related to participating in activities involving selecting a winner and negatively to those involving individuals' skills. Participation in activities associated with the three factors was differentially related to individual difference factors along with family and peer participation in, and support for, gambling. Together the results indicate that young Australians do not view gambling activities homogeneously and future research should focus on the predictors and outcomes of different types of gambling among this age group.     

Reported change in preferred sexual activity over the adult years

Fifty‐nine women and 40 men, aged 60 to 85, participated in a study which examined changes in preferred sexual activity from young adulthood to old age. The results indicated that change in preferred sexual activity over time was common and not associated with low psychological well‐being or with unfavorable ratings on satisfaction with sex life, subjective pleasure, incidence of the preferred activity, or interest in sex in old age. However, change in preference was related to physical changes in both sexes and to opportunity factors among women. These findings suggest that sexual experience and psychological well‐being in old age are related more to the type of sexual activity that is preferred than to the occurrence of change per se.     

Self-Perceived Physical Attractiveness,Self-Esteem,Race, and Gender

Abstract

African American self-perceptions of physical attractiveness are found to be higher than white self-perceptions, while there is no difference by race in the correlation between self-perceived attractiveness and self-esteem. Controlling for self-perceived attractiveness, African Americans have lower self-esteem than whites, suggesting that African American perceptions of physical attractiveness, mirrored in the slogan “Black is Beautiful,” may have contributed to the disappearance over the past forty years of the gap between African American and white self-esteem. Self-esteem is more strongly related to self-perceived physical attractiveness for females than males, particularly among whites.     

Reported Coping Strategies and Depressive Symptoms Among African American and White Residents of Congregate Housing

Chronic health conditions and living in congregate housing, both stressors and losses, are risk factors for late life depressive symptoms. We examined self-reported coping strategies and their associations with depressive symptoms among residents of congregate living facilities. Despite demographic differences between the African American and the White participants, reported coping for the 2 groups was similar, though more African Americans reported spiritual coping. Participants who reported coping through either positive attitude and adaptations or activity participation had fewer depressive symptoms, after controlling for demographics, health, functioning, and other types of coping.     

Creating and inhabiting virtual places: Indian immigrants in cyberspace

The Internet is often appropriated by groups seeking to preserve, develop and celebrate their identities across space. Using an online survey of a group of immigrants to the United States from India as well as their American-born children, this article reveals that the Internet is utilised for overcoming separation at intra- and international scales, for creating a variety of transboundary networks and for constructing a sense of identity in virtual place. Yet the results also suggest that those individuals who use websites related to Indian culture, society, politics, history and news are distinct ‘communicationally defined’ sub-populations with regard to sex, generation and citizenship status. Indeed, ‘indices of traditionalism’ demonstrate key differences in the types of users of these virtual places.     

Self-Regulatory Driving Behaviors: Gender and Transportation Support Effects

This study examined the relationship between transportation support and self-regulatory driving behaviors of 566 community-dwelling older adults living in retirement communities, with a focus on gender differences. The results of logistic regression analysis showed that older women were more likely to avoid driving at night or on the highway than their male counterparts. Transportation support from peer friends was found to increase the likelihood of self-regulatory driving behaviors. The findings of this study imply that transportation policy and driving safety programs for older adults need to be developed, considering available transportation alternatives and gender differences in driving behaviors.     

A comparison of efficient approximations for a weighted sum of chi-squared random variables

In many applications, the cumulative distribution function (cdf) \(F_{Q_N}\) of a positively weighted sum of N i.i.d. chi-squared random variables \(Q_N\) is required. Although there is no known closed-form solution for \(F_{Q_N}\), there are many good approximations. When computational efficiency is not an issue, Imhof’s method provides a good solution. However, when both the accuracy of the approximation and the speed of its computation are a concern, there is no clear preferred choice. Previous comparisons between approximate methods could be considered insufficient. Furthermore, in streaming data applications where the computation needs to be both sequential and efficient, only a few of the available methods may be suitable. Streaming data problems are becoming ubiquitous and provide the motivation for this paper. We develop a framework to enable a much more extensive comparison between approximate methods for computing the cdf of weighted sums of an arbitrary random variable. Utilising this framework, a new and comprehensive analysis of four efficient approximate methods for computing \(F_{Q_N}\) is performed. This analysis procedure is much more thorough and statistically valid than previous approaches described in the literature. A surprising result of this analysis is that the accuracy of these approximate methods increases with N.     

A Comparative Study of Child Abuse Risk Assessment in the United States and Korea

The perceptions and judgments of social workers who interview the child and family are especially significant factors in child abuse assessment process. The current study describes and compares child protection workers’ assessment processes in Korea and the USA through the use of case vignettes and in‐depth interview. The responses from social workers in these two countries were compared and discussed in the areas of: risk assessment; perception of the main problems; tolerance of corporal punishment; and judgments about appropriateness of interventions. Most revealing was that Korean social workers determined abuse based on their child abuse definition and the US Army FAP social workers determined abuse based on their definition, which was affected by legal standards and cultural differences. Korean social workers are more likely to remove a child from the home, even in mild cases, but US FAP social workers would recommend child removal from the home as a last option. The social workers that participated in this survey play a vital role in the safety of children in child protective services. Both countries can benefit from sharing information to improve the child protection services delivered. Social workers' professional judgment leads to objective and consistent outcomes and are less likely to compromise child safety in the decision making process.     

Predicting pickle harvests using a parametric feedforward neural network

Feedforward networks have demonstrated their ability to model non-linear data. Despite this success, their use as a statistical analysis tool has been limited by the persistent assumption that these networks can only be implemented as non-parametric models. In fact, a feedforward network can be used for parametric modeling, with the result that many of the common parametric testing procedures can be applied to the nonlinear network. In this paper, a feedforward network for predicting the biological growth rate of pickles is developed. Using this network, the parametric nature of the network is demonstrated. Once trained, the network model is tested using standard parametric methods. In order to facilitate this testing, it is first necessary to develop a method for calculating the degrees of freedom for the neural network, and the residual covariance matrix. It is shown that the degrees of freedom is determined by the number of parameters that actually contribute to an output. With this information, the covariance matrix can be created by adapting the error matrix. Using these results, the trained network is tested using a simple F-statistic.