Quantitative models for optimal rest period scheduling

Mathematical and simulation models studying work-rest schedules in a production process are developed to arrive at an optimal rest policy to maximize work output per unit time. A CSMP simulation study is used to test the sensitivity of the results for different specific cases.     

Structural equation modeling of drinking motives in male DUI offenders

Measures completed by 250 men convicted of driving under the influence of alcohol (DUI) were analyzed to examine the direct effects of parental problem drinking and the mediational influence of drinking motives on alcohol use and drinking-related problem outcomes. Structural equation modeling was used to evaluate competing models in the cross-sectional data set. Results indicated that: 1) reported parental problem drinking modestly predicted both alcohol use and problem outcomes when tested in the absence of influence from drinking motives; 2) confirmatory factor analysis yielded a 4-factor drinking motives solution consisting of social, enhancement, coping with negative emotions, and interpersonal facilitation; and 3) both enhancement and interpersonal facilitation drinking motives mediated parental problem drinking's direct effect on alcohol use and problem outcomes. Drinking to cope with negative emotions, while not mediational in nature, produced a direct effect pathway to problem outcomes. The findings extend predictive utility of specific drinking motive dimensions on alcohol use and problem outcomes from previous research in community and university samples to men convicted of driving while intoxicated.