Realistic Major Previews in the School‐to‐College Transition of Italian High School Students

Industrial/organizational researchers have reported that realistic job previews diminish prospective workers' expectations but promote the satisfaction and persistence of those who ultimately accept a job assignment. The authors applied this strategy to the context of school‐to‐college transition; 354 Italian high school students were provided with a 2‐hour lecture designed to simulate exposure to a college major of their choice. Students showed moderate pre‐post increases in subject matter knowledge but reported small decreases in interests and outcome expectations (but not self‐efficacy) related to the academic major to which they were exposed.     

Cultural Consumption Patterns in South Africa: An Investigation of the Theory of Cultural Omnivores

Contrary to Bourdieu’s theory (Distinction: A social critique of the judgment of taste. Cambridge, Massachusetts: Harvard University Press (1984)) that cultural consumption of so-called “high” versus popular culture is determined by socio-economic class, Peterson (Poetics 21:243–258, 1992; Poetics 33:257–282, 2005) finds that higher income and education groups are more likely to be “cultural omnivores”—consumers of a wide variety of both high and popular cultural goods. Omnivores were also found to be much less likely to exclude other cultures and to be more open to, and tolerant of, the views of others than those with narrower cultural tastes, called “cultural univores”. This article investigates the omnivore/univore hypothesis in a South African context, using survey data collected from 500 attendees of live theatre performances at the National Arts Festival in 2008. Multiple correspondence analysis (also called perceptual mapping) shows an interesting intermediate state between Boudieu-like high culture univores and Peterson omnivores, which could have interesting implications for the development of social tolerance in multi-cultural South Africa.     

Predicting Teen Motherhood and Teen Fatherhood: Individual Characteristics and Peer Affiliations

In a longitudinal investigation of the antecedents and pathways of teen parenthood, 475 participants (248 females and 227 males) were followed from Grade 7 through early adulthood. In the first year of the investigation, homogeneous subgroups were identified by clustering participants on five characteristics (i.e., aggression, popularity, academic competence, age, and socioeconomic status). At the same time, peer social networks were identified by the Social Cognitive Map procedure. For each participant, the configuration of peer characteristics was also identified. A high correspondence was found between the individual characteristics and the characteristics of closely affiliated peers. Both teen fatherhood and teen motherhood were predicted by individual configurations and peer configurations (e.g., a combination of high aggression, low academic competence, low popularity, and low family SES). Peer characteristics, race, and family socioeconomic status assumed unique roles in predicting teen motherhood. Growth curve analyses showed that teen-mothers differed from non-mothers in their starting points and developmental trajectories. This study demonstrated that a simultaneous examination of both the individual and his/her peer context yielded important information on teen parenthood.     

A Brief Feminist Review and Critique of the Sociology of Alcohol‐Use and Substance‐Abuse Treatment Approaches

Guided by a sociology‐of‐gender framework, we provide an overview and critique of recent academic debates on substance‐use, particularly alcohol‐use. We note that substance use research has been useful for illuminating areas central to sociological inquiry. In limited scope, we focus on the relationships between alcohol‐use, gender, marginalization, violence, and sexualities. Alcohol‐use, we argue, is highly meaningful yet a paradox in that alcohol‐use both upholds and violates gender and sexuality norms. The active construction of gender is particularly visible when focusing on alcohol, gender and violence. We also claim that alcohol plays a role in the maintenance of a gendered society. We conclude by offering suggestions for future sociologically informed research and treatment approaches.     

An Examination of the Relationship Between Gambling and Antisocial Behavior

Problem gambling is significantly more prevalent in forensic populations than in the general population. Although some previous work suggests that gambling and antisocial behavior are related, the extent and nature of this relationship is unclear. Both gambling and antisocial behavior are forms of risk-taking, and may therefore share common determinants. We investigated whether individual differences in personality traits associated with risk-taking, the Big Five personality traits, and antisocial tendencies predicted gambling and antisocial behavior among 180 male students recruited for a study of gambling (35.0% non-problem gamblers, 36.7% low-risk gamblers, 21.7% problem gamblers, and 6.7% pathological gamblers). All forms of gambling and antisocial behavior were significantly correlated. Personality traits associated with risk-acceptance explained a significant portion of the variance in problem gambling, general gambling involvement, and all forms of antisocial behavior. Antisocial tendencies (aggression and psychopathic tendencies) explained a significant portion of additional variance in severe antisocial behavior but not moderate or minor antisocial behavior. When controlling for personality traits associated with risk-acceptance, the relationship between gambling and antisocial behavior was greatly diminished. The results are consistent with the hypothesis that gambling and antisocial behavior are associated because they are, in part, different manifestations of similar personality traits.     

Bayesian Nonparametric Hidden Markov Models with application to the analysis of copy-number-variation in mammalian genomes

We consider the development of Bayesian Nonparametric methods for product partition models such as Hidden Markov Models and change point models. Our approach uses a Mixture of Dirichlet Process (MDP) model for the unknown sampling distribution (likelihood) for the observations arising in each state and a computationally efficient data augmentation scheme to aid inference. The method uses novel MCMC methodology which combines recent retrospective sampling methods with the use of slice sampler variables. The methodology is computationally efficient, both in terms of MCMC mixing properties, and robustness to the length of the time series being investigated. Moreover, the method is easy to implement requiring little or no user-interaction. We apply our methodology to the analysis of genomic copy number variation.     

Wealth, Power, and the Internal Revenue Service: Changing IRS Audit Policy through Litigation

Objectives . Although scholars have recognized that the wealth and power of litigants has substantial influence on litigation outcomes, there has been less recognition of the ability of the wealthy to sway agency policy through litigation. I argue that the wealthy, through lawsuits and the outcomes from the litigation, influence Internal Revenue Service (IRS) audits of the wealthy and the less affluent. Methods . I examine IRS state audit rates and use ordinary least squares regression with panel corrected standard errors. Results . I show that wealthy litigants can influence the IRS to decrease audits of the wealthy and increase audits of the less affluent. Conclusions . The wealthy appear to have the ability to influence IRS policy through lawsuits. Litigation can influence agency policy.     

Identifiable finite mixtures of location models for clustering mixed-mode data

For clustering mixed categorical and continuous data, Lawrence and Krzanowski (1996) proposed a finite mixture model in which component densities conform to the location model. In the graphical models literature the location model is known as the homogeneous Conditional Gaussian model. In this paper it is shown that their model is not identifiable without imposing additional restrictions. Specifically, for g groups and m locations, (g!)m–1 distinct sets of parameter values (not including permutations of the group mixing parameters) produce the same likelihood function. Excessive shrinkage of parameter estimates in a simulation experiment reported by Lawrence and Krzanowski (1996) is shown to be an artifact of the model's non-identifiability. Identifiable finite mixture models can be obtained by imposing restrictions on the conditional means of the continuous variables. These new identified models are assessed in simulation experiments. The conditional mean structure of the continuous variables in the restricted location mixture models is similar to that in the underlying variable mixture models proposed by Everitt (1988), but the restricted location mixture models are more computationally tractable.     

Non-parametric Estimation of the Residual Distribution

Consider a heteroscedastic regression model Y = m ( X ) +σ( X )ε, where the functions m and σ are "smooth", and ε is independent of X . An estimator of the distribution of ε based on non-parametric regression residuals is proposed and its weak convergence is obtained. Applications to prediction intervals and goodness-of-fit tests are discussed.