When Do First-Year College Students Drink Most During the Academic Year? An Internet-Based Study of Daily and Weekly Drinking

Abstract

Objective: The authors investigated the alcohol consumption trajectories among first-year university students. Participants: A sample of 415 students attending a large university in Southwestern Ontario, Canada, was recruited. Methods: Students completed a baseline questionnaire and 26 weekly brief Internet surveys assessing alcohol consumption from September 2006 to April 2007. Results: Findings indicated that alcohol consumption varies considerably as a function of time of the academic year. Overall trends indicate that students drink more heavily at the beginning of each semester and less during exam periods. Daily patterns indicate that most drinking occurs on weekends. The highest drinking days in the first academic year included Halloween, New Year's Eve, and St. Patrick's Day. Conclusions: The present study provides evidence that periods of high and low alcohol consumption are contingent upon specific events and the time of the year.     

Truth or Dare

The performative identities of both Black and queer characters in film have been noted by academics in “Black queer diasporic theory” (Rinaldo Walcott) and artists such as Cheryl Dunye and Isaac Julien, with particular focus on the ways in which these identities have been constructed from both within and outside of their respective communities. Australian Indigenous and lesbian filmmaker Sonja Dare took the discourse one step further, however, in her 2007 release Destiny in Alice, a twenty-seven-minute mockumentary film which parodies a David Attenborough-style search for the rare “desert lesbian” of Alice Springs in Australia's outback. Her film actively pursues the intersection of cultural and sexual expressiveness and suppression, interrogates notions of belonging and exclusion within these communities, and challenges marginalisations of all subaltern identities in the evolving criticality of performing race, sex and gender in modernity.     

The minimum L2 distance estimator for Poisson mixture models

A robust estimator is developed for Poisson mixture models with a known number of components. The proposed estimator minimizes the L₂ distance between a sample of data and the model. When the component distributions are completely known, the estimators for the mixing proportions are in closed form. When the parameters for the component Poisson distributions are unknown, numerical methods are needed to calculate the estimators. Compared to the minimum Hellinger distance estimator, the minimum L₂ estimator can be less robust to extreme outliers, and often more robust to moderate outliers.     

The development and field testing of a vocational education evaluation model

Reported is the development and field testing of an evaluation model used to evaluate the vocational education programs at the Metropolitan Community Colleges (MCC) of Kansas City, Missouri which can be implemented on vocational programs at other institutions. The model evaluated a vocational program on the following six criteria: (1) program's relationship to job market profile; (2) program's level of community support; (3) program's success in meeting vocational aspirations of clientele; (4) program's success in terms of student performance; (5) program 's cost-effectiveness; and (6) program 's success in reaching the handicapped and disadvantaged. The evaluation model provides a strategy and a set of procedures for assessing the quality of existing vocational education programs of study at any post-secondary institution. The model can be easily and inexpensively implemented, thus providing a data base which is useful for administrative planning and decision making.     

A MULTIVARIATE MODEL OF JOB STRESS AND ALCOHOL CONSUMPTION

Although a significant relationship between job stress and alcohol consumption would seem quite logical, it has in fact received limited empirical support. A multi-variate model is developed in this article, in which the relationship between job stress and alcohol consumption is assumed to be mediated by beliefs regarding the efficacy of alcohol to relieve stress. Considerable support for this model is demonstrated, and the implications for practice as well as research are discussed.     

Collective bargaining and the determinants of teachers’ salaries

Using a national sample of public high schools, we find that bargaining spillovers play an important role in teachers’ labor markets. The spillover variable consistently indicates a larger bargaining effect than does the collective bargaining coverage dummy. We estimate that a 10 percent increase in the state density of teachers’ unions increases the highest teacher salaries by 2.6 percent and the lowest by 0.2 percent. Consistent with prior research, teacher union density was most strongly associated with highest salaries and had a nonsignificant positive association with lowest salaries. Teachers’ unions also affect the structural determinants of teachers’ salaries, offering some additional evidence supporting a median voter model. The proportion of unionized teachers with higher levels of education and experience (i.e., the highest paid) is positively related to highest salaries. Finally, our results confirm the importance of demand factors in teacher wage determination. The authors thank Shawn Windsor for his excellent research assistance and an anonymous referee for helpful comments on a previous draft of this paper. The Inter-University Consortium for Political and Social Research provided the primary data set used in this paper. The U.S. Department of Education, National Center for Education Statistics compiled the original data set. We gratefully acknoledge the assistance of Eric Hanushek and Lori Taylor who also provided data used herein. This research was funded in part by a grant from the McGill Faculty of Management Research Committee.     

A review of parallel processing for statistical computation

Parallel computers differ from conventional serial computers in that they can, in a variety of ways, perform more than one operation at a time. Parallel processing, the application of parallel computers, has been successfully utilized in many fields of science and technology. The purpose of this paper is to review efforts to use parallel processing for statistical computing. We present some technical background, followed by a review of the literature that relates parallel computing to statistics. The review material focuses explicitly on statistical methods and applications, rather than on conventional mathematical techniques. Thus, most of the review material is drawn from statistics publications. We conclude by discussing the nature of the review material and considering some possibilities for the future.     

Active parental consent in school-based research. An examination of ethical and methodological issues

To date, most school-based research has used passive parental consent. However, the Family Privacy Protection Act of 1995 aims to change these requirements. The proposed legislation requires written parental consent if minors are to be asked "sensitive" questions as part of any program or activity funded in whole or in part by the federal government. This act is representative of a growing trend toward restricting research involving minors. Whether or not this act is passed by Congress, two lines of concern are highlighted by this legislation. The first deals with ethical issues surrounding consent procedures. For instance, are parental rights compromised when active consent is not mandated? A second line of inquiry pertains to the effect of active consent procedures on response rates and sample bias. In this article, the authors discuss ethical issues surrounding passive and active consent procedures and then report response rates from two projects in which active consent procedures were implemented.