Alcohol prevention strategies on college campuses and student alcohol abuse and related problems

This study examined the relationship between colleges' alcohol abuse prevention strategies and students' alcohol abuse and related problems. Alcohol prevention coordinators and first year students in 22 colleges reported whether their schools were implementing 48 strategies in six domains, and students (N = 2041) completed another survey concerning their use of alcohol and related consequences. Colleges were most likely to prevent alcohol use in public places on campus and the delivery and use of kegs. Four alcohol prevention domains were inversely associated with at least one of five outcomes related to student alcohol abuse or related consequences, and the alcohol policy and enforcement domain was inversely associated with all outcomes. Colleges should pay particular attention to strategies related to policy and enforcement.     

Contemporary options for longitudinal follow-up: lessons learned from a cohort of urban adolescents

This study reports efforts to locate and survey participants in Project Northland Chicago (PNC), a longitudinal, group-randomized trial of an alcohol preventive intervention for racial/ethnic minority, urban, early-adolescents, 3-4 years following the end of the intervention. Data were collected annually among students from 6th-8th grade and then at age 17-18. Tracking procedures were used to maintain contact with participants and data collection consisted of three phases: (1) Internet- and mail-based surveys; (2) in-school survey administration; and (3) courier service delivery. Contact was lost with 11% of this urban cohort from the end of the PNC intervention activities through these longterm follow-up efforts, as indicated by returned locating postcards. Fifty-three percent of the cohort responded to the survey, the majority completing in Phase 1 of our data collection. Additional school-based and courier-delivery efforts increased our response rate by 11.5%. Costs per completed survey were $118 in Phase 1, $166 in Phase 2, and $440 in Phase 3. This study illustrates that it is possible to track and follow-up a high-risk cohort as they progress through adolescence, even with minimal efforts in intervening years. Lessons learned from this study may inform future efforts to track and collect longitudinal data among high-risk populations.     

Islam and patriarchy: how robust is Muslim support for patriarchal values?

Evidence that Muslims support patriarchal values more than non-Muslims is abundant but the nature of this evidence is contested. The ‘cultural’ interpretation suggests that patriarchal values are an inherent element of Muslim identity. The ‘structural’ interpretation holds that patriarchal values reside in structural characteristics and have little to do with Muslim identity. Evidence on these contradictory claims is inconclusive. Neither have advocates of the cultural position shown that Muslim support for patriarchal values remains robust under control of structural characteristics; nor have proponents of the structural position demonstrated that Muslim support for these values vanishes under such controls. Filling this gap, we use multi-level models to test whether Muslim support for patriarchal values vanishes under control of patriarchy's structural underpinnings. We find that Muslim support for patriarchal values is robust against various controls; and we identify mosque attendance as a mechanism to sustain Muslim support for patriarchy in non-Muslim societies. Yet, rising levels of education, labor market participation, and a glacial emancipative trend diminish Muslim support for patriarchy, especially among women.     

The Hazards of Predicting Divorce Without Crossvalidation

Divorce prediction studies (e.g., Gottman, Coan, Carrere, & Swanson, 1998) suggest that couples' eventual divorce can be very accurately predicted from a number of different variables. Recent attention to these studies has failed to consider the need to crossvalidate prediction equations and to consider the prevalence of divorce in the population. We analyze archival data to demonstrate that accuracy and predictive value drops precipitously during crossvalidation. We conclude that results of studies without crossvalidation analyses should be interpreted with extreme caution, no matter how impressive the initial results appear to be.     

Learning How and Learning What: Effects of Tacit and Codified Knowledge on Performance Improvement Following Technology Adoption

This paper examines effects of tacit and codified knowledge on performance improvement as organizations gain experience with a new technology. We draw from knowledge management and learning curve research to predict improvement rate heterogeneity across organizations. We first note that the same technology can present opportunities for improvement along more than one dimension, such as efficiency and breadth of use. We compare improvement for two dimensions: one in which the acquisition of codified knowledge leads to improvement and another in which improvement requires tacit knowledge. We hypothesize that improvement rates across organizations will be more heterogeneous for dimensions of performance that rely on tacit knowledge than for those that rely on codified knowledge (H1), and that group membership stability predicts improvement rates for dimensions relying on tacit knowledge (H2). We further hypothesize that when performance relies on codified knowledge, later adopters should improve more quickly than earlier adopters (H3). All three hypotheses are supported in a study of 15 hospitals learning to use a new surgical technology. Implications for theory and practice are discussed.     

Resampling-based Classification Using Depth for Functional Curves

The depths, which have been used to detect outliers or to extract a representative subset, can be applied to classification. We propose a resampling-based classification method based on the fact that resampling techniques yield a consistent estimator of the distribution of a statistic. The performance of this method was evaluated with eight contaminated models in terms of Correct Classification Rates (CCRs), and the results were compared with other known methods. The proposed method consistently showed higher average CCRs and 4% higher CCR at the maximum compared to other methods. In addition, this method was applied to Berkeley data. The average CCRs were between 0.79 and 0.85.     

Sexual minority youth in romantic relationships: Associations with youth well-being

This study investigated differences in depressive symptoms, loneliness, and self-esteem for monosexual (lesbian, gay) and plurisexual (bisexual, pansexual, queer) sexual minority youth (SMY) by relationship status (single, partnered) and relationship configuration (same-gender partner, different-gender partner). Participants included 338 SMY (M_age = 19.10 years) who reported on their relationship status, partner's gender identity, well-being, and ability to confide in partner about LGBTQ issues. Results indicated that for plurisexual youth, single status was associated with greater loneliness; plurisexual youth with same-gender partners reported fewer depressive symptoms and marginally greater ability to confide in their partner about LGBTQ issues than those with different-gender partners. Findings reveal similarities across SMY while also highlighting some unique challenges among plurisexual youth with different-gender partners.