Adolescent Gambling: Understanding the Role of Stress and Coping

The central variables of stress, coping, and gambling severity were examined along three lines of inquiry. The first addressed whether adolescents with gambling problems reported a greater number of minor or major stressful (i.e., negative) life events relative to others. The second examined whether more with gambling problems employed less-effective coping styles, such as those characterized as less task- or solution-focused, and more emotion- or avoidance-focused coping. Finally, the third question explored whether adolescents’ coping styles mediated the association between stress and gambling severity. Ranging from 11 to 20 years of age, 2,156 high-school students completed instruments assessing gambling involvement, gambling severity, stressful life events, and coping styles. Results indicated that, overall, adolescents with gambling-related problems reported more negative life events relative to social gamblers and non-gamblers. When negative life events were further separated into major and minor events, results revealed that problem gamblers reported more major negative life events but not more minor negative life events relative to others. Results indicated that adolescents with gambling-related problems used less task-focused coping, and more avoidance-focused coping. Males, but not females, who experience gambling-related problems reported using more emotion-focused coping strategies. Finally, emotion-oriented coping was found to mediate the relationship between negative life events and gambling severity. Implications and directions for future research are discussed.

Gammaization and wishartness of dependent quadratic forms

In this paper two equivalent sets of necessary and sufficient conditions are derived for dependent quadratic forms to be distributed as multivariate gamma distribution. The procedure also gives a set of necessary and sufficient conditions for principal minors of generalized quadratic forms to be jointly distributed as the joint distribution of principal minors of a Kishart matrix.     

Direction and collinearity factors of wilks‘s a - a review

Wilks's A was factorized by Bartlett (1951) for testing the hypothesis of goodness of fit of a hypothetical discriminant function in the case of several groups. This test has applications in various areas such as Econometrics, contingency tables, growth curves, principal components analysis, design of experiments and so on. This paper gives a consolidated account of the research done in these areas on the application of factors of Wilks's A     

Type a incomplete multi-response designs

Srivastava considered the problem of designing and analysis of incomplete multi-response experiments, The main characteristics of the analysis given by her are investigated and a general class of incomplete multiresponse designs (Type A) is obtained on the basis of these investigations.     

A Matrix Variate Closed Skew-Normal Distribution with Applications to Stochastic Frontier Analysis

In this article, we introduce the matrix extension of the closed skew-normal distribution and give two constructions for it: a marginal one and another based on hidden truncation. Important basic properties of the distribution are presented such as its closure under linear transformation and moment generating function. We also give distributional results for quadratic forms involving random matrices distributed according to two particular cases of it. Using an additive construction, we derive a submodel which can be employed to describe the compound error structure of a very general multivariate stochastic frontier model. Finally, we consider the skew-elliptical extension of the proposed distribution.     

A Bayes comparison of Weibull extension and modified Weibull models for data showing bathtub hazard rate

A number of models have been proposed in the literature to model data reflecting bathtub-shaped hazard rate functions. Mixture distributions provide the obvious choice for modelling such data sets but these contain too many parameters and hamper the accuracy of the inferential procedures particularly when the data are meagre. Recently, a few distributions have been proposed which are simply generalizations of the two-parameter Weibull model and are capable of producing bathtub behaviour of the hazard rate function. The Weibull extension and the modified Weibull models are two such families. This study focuses on comparing these two distributions for data sets exhibiting bathtub shape of the hazard rate. Bayesian tools are preferred due to their wide range of applicability in various nested and non-nested model comparison problems. Real data illustrations are provided so that a particular model can be recommended based on various tools of model comparison discussed in the paper.     

Adolescent Gambling Behavior: A Prevalence Study and Examination of the Correlates Associated with Problem Gambling

Eight-hundred and seventeen adolescent high school students in the Montreal region completed the DSM-IV-J gambling screen along with a questionnaire devised by the authors inquiring about their gambling behavior, including items assessing the types of activities in which they engage, frequency of involvement, reasons for gambling, and their cognitive perceptions of gambling activities. The results indicate that, in general, 80.2% of students reported having gambled during the previous year, with 35.1% gambling a minimum of once per week. Adolescents reported participating in gambling behavior more often than any other addictive behavior, including cigarette smoking, alcohol consumption, and illicit drug use. The mean age of onset of gambling behavior for the sample was 11.5 years. The rate of pathological gambling was 4.7% as measured by the DSM-IV-J. Pathological gamblers were more likely to have parents with gambling problems and to be engaging in illegal activities than non-pathological gamblers. Gender differences were evident, with males engaging in gambling activities more than females. Differences in game preferences were found, with males more attracted to sports lottery tickets and sports pool betting and females more attracted to lottery tickets and bingo. Gambling awareness and prevention issues are addressed.     

Dating and friendships in adolescence: Variation across same-sex and other-sex romantic partners

This research examined associations between dating and number of friends for rural adolescents with same-sex and other-sex dating partners using longitudinal sociometric data (N = 2826; 55% female, 87% White, mean age = 14 at baseline). In multilevel models assessing within-person change, boys gained female friends when they were in same-sex romantic relationships, compared to when they were single. In contrast, girls in same-sex relationships lost female friends and gained male friends. Adolescents in other-sex romantic relationships gained same-sex friends compared to when they were single. Results advance understanding of adolescent social and sexual development, suggesting that sexual minority adolescents find allies when dating but may struggle to maintain same-sex friendships.     

Disaster Management from a POM Perspective: Mapping a New Domain

We have reviewed disaster management research papers published in major operations management, management science, operations research, supply chain management and transportation/logistics journals. In reviewing these studies, our objective is to assess and present the macro level “architectural blue print” of disaster management research with the hope that it will attract new researchers and motivate established researchers to contribute to this important field. The secondary objective is to bring this disaster research to the attention of disaster administrators so that disasters are managed more efficiently and more effectively. We have mapped the disaster management research on the following five attributes of a disaster: (1) Disaster Management Function (decision‐making process, prevention and mitigation, evacuation, humanitarian logistics, casualty management, and recovery and restoration), (2) Time of Disaster (before, during and after), (3) Type of Disaster (accidents, earthquakes, floods, hurricanes, landslides, terrorism and wildfires etc.), (4) Data Type (Field and Archival data, Real data and Hypothetical data), and (5) Data Analysis Technique (bidding models, decision analysis, expert systems, fuzzy system analysis, game theory, heuristics, mathematical programming, network flow models, queueing theory, simulation and statistical analysis). We have done cross tabulations of data among these five parameters to gain greater insights into disaster research. Recommendations for future research are provided.