The purpose of this study was to examine the relationship between religiousness and alcohol use of adolescents. A sample of high school seniors was drawn based on the second follow-up National Educational Longitudinal Study of 1988 (NELS:88). Multiple regression was employed using a hierarchical strategy to determine the impact of religiousness on alcohol use when accounting for other factors that have been shown to affect alcohol use. The results provide support for examining religiousness variables as predictors of alcohol use patterns for adolescents. Also, inconsistent patterns between Asian-American, Hispanic, African-American, and Caucasian students were detected. Implications of the study and suggestions for future research are offered. 相似文献
Many research proposals involve collecting multiple sources of information from a set of common samples, with the goal of performing an integrative analysis describing the associations between sources. We propose a method that characterizes the dominant modes of co-variation between the variables in two datasets while simultaneously performing variable selection. Our method relies on a sparse, low rank approximation of a matrix containing pairwise measures of association between the two sets of variables. We show that the proposed method shares a close connection with another group of methods for integrative data analysis – sparse canonical correlation analysis (CCA). Under some assumptions, the proposed method and sparse CCA aim to select the same subsets of variables. We show through simulation that the proposed method can achieve better variable selection accuracies than two state-of-the-art sparse CCA algorithms. Empirically, we demonstrate through the analysis of DNA methylation and gene expression data that the proposed method selects variables that have as high or higher canonical correlation than the variables selected by sparse CCA methods, which is a rather surprising finding given that objective function of the proposed method does not actually maximize the canonical correlation. 相似文献
The paper proposes a joint mixture model to model non-ignorable drop-out in longitudinal cohort studies of mental health outcomes. The model combines a (non)-linear growth curve model for the time-dependent outcomes and a discrete-time survival model for the drop-out with random effects shared by the two sub-models. The mixture part of the model takes into account population heterogeneity by accounting for latent subgroups of the shared effects that may lead to different patterns for the growth and the drop-out tendency. A simulation study shows that the joint mixture model provides greater precision in estimating the average slope and covariance matrix of random effects. We illustrate its benefits with data from a longitudinal cohort study that characterizes depression symptoms over time yet is hindered by non-trivial participant drop-out.KEYWORDS: Latent growth curve, MNAR drop-out, survival analysis, finite mixture model, mental health相似文献
ABSTRACTAs smart technologies such as artificial intelligence (AI), automation and Internet of Things (IoT) are increasingly embedded into commercial and government services, we are faced with new challenges in digital inclusion to ensure that existing inequalities are not reinforced and new gaps that are created can be addressed. Digital exclusion is often compounded by existing social disadvantage, and new systems run the risk of creating new barriers and harms. Adopting a case study approach, this paper examines the exclusionary practices embedded in the design and implementation of social welfare services in Australia. We examined Centrelink’s automated Online Compliance Intervention system (‘Robodebt’) and the National Disability Insurance Agency’s intelligent avatar interface ‘Nadia’. The two cases show how the introduction of automated systems can reinforce the punitive policies of an existing service regime at the design stage and how innovative AI systems that have the potential to enhance user participation and inclusion can be hindered at implementation so that digital benefits are left unrealised. 相似文献
We explore a general framework in Markov chain Monte Carlo (MCMC) sampling where sequential proposals are tried as a candidate for the next state of the Markov chain. This sequential-proposal framework can be applied to various existing MCMC methods, including Metropolis–Hastings algorithms using random proposals and methods that use deterministic proposals such as Hamiltonian Monte Carlo (HMC) or the bouncy particle sampler. Sequential-proposal MCMC methods construct the same Markov chains as those constructed by the delayed rejection method under certain circumstances. In the context of HMC, the sequential-proposal approach has been proposed as extra chance generalized hybrid Monte Carlo (XCGHMC). We develop two novel methods in which the trajectories leading to proposals in HMC are automatically tuned to avoid doubling back, as in the No-U-Turn sampler (NUTS). The numerical efficiency of these new methods compare favorably to the NUTS. We additionally show that the sequential-proposal bouncy particle sampler enables the constructed Markov chain to pass through regions of low target density and thus facilitates better mixing of the chain when the target density is multimodal.
Recently, consumer researchers have been interested in rituals that concisely express the consumption system in a culture. This article studies the Korean wedding ritual. The particular focus is on consumer values, needs, and expenditures related to Korean weddings. Research hypotheses were developed by analyzing the consumption phenomena in a sociocultural context and using focus groups and in-depth interviews. The author suggests that hedonic values relating to wedding rituals influence conspicuous and female-focused consumption. Implications of the study and further consumption research issues are discussed. 相似文献
There are two opposing views on the role of private foundations, especially the corporate foundations. Korean people seem
to think that corporate foundations have been used as a device to transfer the wealth of rich families with favourable tax
treatment. Considering the curret status and past performance of corporate foundations, the evidence seems to lend support
to this negative view at the moment. The corporate foundations have performed within a very limited range of activities and
have not made many efforts to develop non-profit activities to meet the expectations of Korean society. The negative view
does not imply that corporate foundations have not contributed to Korean society. But the negative view can be regarded as
a criticism of the past performance of corporate foundations and the way they have been managed.
Prepared for presentation at the Third International Conference of Research on Voluntary and Non-Profit Organizations, sponsored
by Indiana University Centre on Philanthropy, March 1992. 相似文献