Factors Associated with Gamblers: A Population-based Cross-sectional Study of South Australian Adults

Objective To determine, using a random telephone survey, the prevalence of various gambling activities among South Australian adults, the prevalence of adult problem gamblers using the South Oaks Gambling Screen (SOGS) instrument, and to examine the problem gamblers by demographic and health-related risk factors.Method A random representative sample of South Australian adults selected from the Electronic White Pages. Overall, 6045 interviews were conducted (73.1% response rate) using Computer Assisted Telephone Interviewing (CATI) technology.Results Overall, 75.6% (95% CI: 74.5–76.7) of respondents had participated in at least one gambling activity during the last 12 months and 2.0% (95% CI: 1.7–2.4) were identified to be problem gamblers. A wide range of factors was associated with problem gambling at a univariate level, when compared to frequent gamblers. The logistic regression analysis highlighted that problem gamblers were more likely to speak a language other than English, be employed part time and a smoker when compared to frequent gamblers. Problem gamblers were also more likely to have a mental health condition (according to the Kessler 10), have had suicidal thoughts and know of services for gambling problems.Conclusion There is a wide range of characteristics associated with problem gambling in South Australia. All of these factors need addressing during policy development to assist problem gamblers.     

Statistical analyses for round robin interaction data

This paper considers the analysis of round robin interaction data whereby individuals from a group of subjects interact with one another, producing a pair of outcomes, one for each individual. The authors provide an overview of the various analyses applied to these types of data and extend the work in several directions. In particular, they provide a fully Bayesian analysis for such data and use a real data example for illustration purposes.     

Recalling a Difficult Past: Whites’ Memories of Birmingham*

This article examines the intersection between collective memory and autobiographical memory through in‐depth interviews with twenty whites who came of age in the midst of key events in the Civil Rights Movement in Birmingham, Alabama. Most interviewees report few autobiographical memories of the events of the Civil Rights Movement and the racial conflict surrounding these events. Instead, many center their recollections on the bombing of the Sixteenth Street Baptist Church. The forgetting of autobiographical memories has been aided by a coalition of silence among whites about the era of integration and by reiterated media images that shaped recollections of the past. These white southerners have been able to renarrativize their pasts to forget memories that link them with the ideology of segregation and to reconstruct the self to be usable in the present. The article demonstrates ways that autobiographical memory is a social construction rather than an act of retrieval.     

High wage workers and low wage firms: negative assortative matching or limited mobility bias?

Summary.  In the empirical literature on assortative matching using linked employer–employee data, unobserved worker quality appears to be negatively correlated with unobserved firm quality. We show that this can be caused by standard estimation error. We develop formulae that show that the estimated correlation is biased downwards if there is true positive assortative matching and when any conditioning covariates are uncorrelated with the firm and worker fixed effects. We show that this bias is bigger the fewer movers there are in the data, which is 'limited mobility bias'. This result applies to any two-way (or higher) error components model that is estimated by fixed effects methods. We apply these bias corrections to a large German linked employer–employee data set. We find that, although the biases can be considerable, they are not sufficiently large to remove the negative correlation entirely.     

Estimates of human immunodeficiency virus prevalence and proportion diagnosed based on Bayesian multiparameter synthesis of surveillance data

Summary.  Estimates of the number of prevalent human immunodeficiency virus infections are used in England and Wales to monitor development of the human immunodeficiency virus–acquired immune deficiency syndrome epidemic and for planning purposes. The population is split into risk groups, and estimates of risk group size and of risk group prevalence and diagnosis rates are combined to derive estimates of the number of undiagnosed infections and of the overall number of infected individuals. In traditional approaches, each risk group size, prevalence or diagnosis rate parameter must be informed by just one summary statistic. Yet a rich array of surveillance and other data is available, providing information on parameters and on functions of parameters, and raising the possibility of inconsistency between sources of evidence in some parts of the parameter space. We develop a Bayesian framework for synthesis of surveillance and other information, implemented through Markov chain Monte Carlo methods. The sources of data are found to be inconsistent under their accepted interpretation, but the inconsistencies can be resolved by introducing additional 'bias adjustment' parameters. The best-fitting model incorporates a hierarchical structure to spread information more evenly over the parameter space. We suggest that multiparameter evidence synthesis opens new avenues in epidemiology based on the coherent summary of available data, assessment of consistency and bias modelling.     

Understanding Management Performance

Current models of the factors underlying management performance make use of a variety of variables at different levels of analysis. A framework is presented in which variables of three different types are linked together. Using data from a sample (n = 437) of British managers this article explores relationships between personality factors (using the big-five factors), work competencies and managerial performance. Results from the analyses reveal a set of underlying competency factors, which show different patterns of correlation with two facets of performance: current proficiency and promotability. In turn, these factors and the facets of performance show relationships with the big-five personality factors. Current proficiency is more closely related to competencies of organization, specialization and analysis – competencies more likely to be displayed by people who are conscientious and introverted. Promotability is linked more closely to competencies concerning action/motivation, flexibility/sensitivity and communication – competencies more likely to be displayed by people who are extroverted with lower conscientiousness and agreeableness.     

Religiosity, sexual behaviors, and sexual attitudes during emerging adulthood

The current study examined associations between religiosity and sexual behaviors and attitudes during emerging adulthood. Two hundred and five emerging adults completed surveys about five aspects of their religiosity (group affiliation, attendance at religious services, attitudes, perceptions of negative sanctions, and adherence to sanctions) and their sexual behaviors (abstinence, age of onset, lifetime partners, condom use) and attitudes (conservative attitudes, perceived vulnerability to HIV, and condom-related beliefs). Associations were found between the measures of religiosity and sexuality, although the patterns differed by measures used. Religious behavior was the strongest predictor of sexual behavior. Many aspects of religiosity were associated with general sexual attitudes, which was not the case for perceived vulnerability to HIV and condom-related beliefs. The findings support reference group theory and highlight the importance of considering the specific constructs of religiosity and sexuality assessed in studies of these topics.