Longitudinal predictors of cigarette use among students from 24 Texas colleges

ABSTRACT

Objective: The purpose of this study is to examine differences between current and non-current cigarette users, focusing on sociodemographic factors, non-cigarette tobacco product use, parental and friend use, and alcohol and marijuana use; and to identify predictors of cigarette use sixmonths later. Participants: Participants included young adults (n = 4,296) from 24 Texas colleges, participating in a young adult cohort study, beginning in fall 2014. Methods: Mixed effects logistic regressions were conducted accounting for school-level variability. Results: Cigarette users were older, more likely to report use of non-cigarette tobacco products and peer use of cigarettes than non-current users. Wave 1 cigarette and non-cigarette tobacco product use, marijuana use and binge drinking, and peer use all uniquely predicted cigarette use at wave 2. Conclusions: Colleges need prevention programs targeting multiple tobacco products, because non-cigarette tobacco use and other risky behaviors appear to be independent risk factors for cigarette use in young adults.     

Confidence Intervals and the Within-the-Bar Bias

Bar graphs displaying means have been shown to bias interpretations of the underlying distributions: viewers typically report higher likelihoods for values within a bar than outside of a bar. One explanation is that viewer attention is driven by the whole bar, rather than only the edge that provides information about an average. This study explored several approaches to correcting this bias. Bar graphs with 95% confidence intervals were used with different levels of contrast to manipulate attention directed to the bar. Viewers showed less bias when the salience of the bar itself was reduced. Response latencies were lowest and bias was eliminated when participants were presented with only a confidence interval and no bar.     

The effects of human resource systems on operational performance in mass customisation manufacturing environments

This study empirically examines the impact of two human resource management (HRM) systems on operational performance in two distinct mass customisation manufacturing (MCM) environments. Using the survey data collected electronically from 148 mass customisation manufacturers in the USA, moderated hierarchical multiple regression was employed to test the research hypotheses. Results suggest that operational performance significantly increases when a bundle of complementary basic HRM practices are integrated in MCM contexts that emphasise module and process standardisation. This finding indicates that these types of mass customisation manufacturers are capitalising on the opportunity to improve operational performance by strategically combining several different, but supportive, traditional HRM practices with a finite MCM system.     

An Empirical Model of Growth Through Product Innovation

Productivity differences across firms are large and persistent, but the evidence for worker reallocation as an important source of aggregate productivity growth is mixed. The purpose of this paper is to estimate the structure of an equilibrium model of growth through innovation designed to identify and quantify the role of resource reallocation in the growth process. The model is a version of the Schumpeterian theory of firm evolution and growth developed by Klette and Kortum (2004) extended to allow for firm heterogeneity. The data set is a panel of Danish firms that includes information on value added, employment, and wages. The model's fit is good. The estimated model implies that more productive firms in each cohort grow faster and consequently crowd out less productive firms in steady state. This selection effect accounts for 53% of aggregate growth in the estimated version of the model.     

Bayesian Interpretations of Heteroskedastic Consistent Covariance Estimators Using the Informed Bayesian Bootstrap

This article provides Bayesian interpretations for White's heteroskedastic consistent (HC) covariance estimator, and various modifications of it, in linear regression models. An informed Bayesian bootstrap provides a useful framework.     

Resolution of the Long-Term Performance Issues at the Waste Isolation Pilot Plant

The Waste Isolation Pilot Plant (WIPP) is a geological repository for disposal of U.S. defense transuranic radioactive waste. Built and operated by the U.S. Department of Energy (DOE), it is located in the Permian age salt beds in southeastern New Mexico at a depth of 655 m. Performance assessment for the repository's compliance with the 10,000-year containment standards was completed in 1996 and the U.S. Environmental Protection Agency (EPA) certified in 1998 that the repository meets compliance with the EPA standards 40 CFR 191 and 40 CFR 194. The Environmental Evaluation Group (EEG) review of the DOE's application for certification identified a number of issues. These related to the scenarios, conceptual models, and values of the input parameters used in the calculations. It is expected that these issues will be addressed and resolved during the first 5-year recertification process that began with the first receipt of waste at WIPP on March 26, 1999, and scheduled to be completed in March 2004.     

A financial survey of mergers during the years 1968–70

This paper is concerned with the financial objectives of mergers and acquisitions and the way in which considerations in the merger transaction, such as the price paid and the method of payment used, may affect such objectives subsequent to the merger. The analysis is based on a sample of 65 mergers during the years 1968–70 inclusive [2].