Motivators for Seeking Gambling-Related Treatment Among Ontario Problem Gamblers

A random digit dialing telephone survey was used to interview 8,467 adults in Ontario, Canada. The NODS-CLiP was used to identify a representative sample of 730 gamblers (54.3% male, mean age 45.3 years) with possible past year gambling problems in order to explore factors that might affect disordered gamblers’ motivators for seeking gambling-related help. A final sample of 526 gamblers provided useable data on possible reasons for and barriers to seeking help, awareness of services, self-perception of gambling problems and experience with help-seeking. Financial and relationship issues were the most frequently volunteered motivators. However, over two-thirds of the respondents could not think of a reason for seeking help. Gamblers who had self-admitted or more severe problems, who knew how to get help, who were employed and had more education, and who identified possible barriers to seeking help were more likely to suggest motivators, especially financial ones. More research is recommended on gamblers’ trajectory towards recognition of a gambling problem, the process of overcoming specific barriers to treatment, and the role of social advantage (e.g., education and employment), in order to devise educational campaigns that will encourage earlier help-seeking among disordered gamblers.     

Theorizing Managerial Work: a Pragmatic Pluralist Approach to Interdisciplinary Research

Management research is especially open to the benefits of using insights from a variety of social science disciplines but it should not use these indiscriminately. A strategy of pragmatic pluralism is proposed as a way of ensuring that concepts taken from different social science paradigms or disciplines are drawn together into a single coherent perspective to shape the particular study to which they relate. This is illustrated with reference to an ethnographic study of managerial work carried out by the author.     

Free energy methods for Bayesian inference: efficient exploration of univariate Gaussian mixture posteriors

Because of their multimodality, mixture posterior distributions are difficult to sample with standard Markov chain Monte Carlo (MCMC) methods. We propose a strategy to enhance the sampling of MCMC in this context, using a biasing procedure which originates from computational Statistical Physics. The principle is first to choose a “reaction coordinate”, that is, a “direction” in which the target distribution is multimodal. In a second step, the marginal log-density of the reaction coordinate with respect to the posterior distribution is estimated; minus this quantity is called “free energy” in the computational Statistical Physics literature. To this end, we use adaptive biasing Markov chain algorithms which adapt their targeted invariant distribution on the fly, in order to overcome sampling barriers along the chosen reaction coordinate. Finally, we perform an importance sampling step in order to remove the bias and recover the true posterior. The efficiency factor of the importance sampling step can easily be estimated a priori once the bias is known, and appears to be rather large for the test cases we considered.     

Community corrections officers' attributions for sexual offending against children

The present research examined gender differences in community corrections officers' (CCOs') attributions for child sexual offending. Eighty-five CCOs were asked to write down the reasons why they thought men sexually abused children, and then rate their reasons using Benson's Attributional Dimensions Scale. The results found that CCOs' reasons regarding why men sexually abuse children strongly paralleled current scientific theories on the etiology of child sexual abuse. Also, significant gender differences were found regarding the frequency with which participants cited certain types of reasons for child sexual abuse. Female CCOs were more likely to cite power and control as a reason, while male CCOs were more likely to cite psychopathology as a reason for child sexual abuse. No other gender differences were found. The research, clinical, and educational implications pertaining to these findings are discussed.