Intergenerational Forum to Enhance Students’ Engagement and Learning Outcomes: A Community-Based Participatory Research Study

The Intergenerational Forum (IF) is an innovative intervention that engages students in conducting community-based participatory research (CBPR). This set of guided learning opportunities is designed to improve college students’ understanding of aging and health issues in their communities. In this study, a total of 252 mentoring hours were provided in kind by 78 students. The majority of these youth volunteers were aspiring health professionals who had received intensive academic and field training to strengthen their interpersonal skills and ability to build meaningful one-on-one relationships with vulnerable populations. Additionally, these student volunteers were at higher risk for mental health issues. Findings revealed that as a result of IF, students were able to improve their knowledge and attitudes toward working with older people. Students were able to combine ideas from courses when completing this IF assignment. Particularly, levels of active and collaborative learning were` enriched by engagement with people representing different economic backgrounds, political views, and religious beliefs. Major themes emerged in students’ narrative data revealed their learning outcomes in the areas of self-awareness, empathy, empowerment, and new perspectives about ageism.     

Heterogeneous Effects of Child Development Accounts on Savings for Children’s Education

We examine effects of Child Development Accounts on savings for postsecondary education in a statewide experiment (N = 2,677), which automatically opened state-owned college savings accounts for treatment-group children, and encouraged their caregivers to open and save in participant-owned college savings accounts. The experiment achieves universal participation for children in the treatment group; almost all treatment-group children hold an account with more than $1,000 in college assets. Treatment participants we expect would hold their own participant-owned accounts without the intervention have $395 more in savings than their counterparts in the control group; those who are motivated by the intervention to hold a participant-owned account have mean deposits of $888. Those who are motivated by the intervention to save have mean deposits of $1,826. The intervention reduces the socioeconomic disparity in asset accumulation for children. The program has the potential to promote asset building for children’s education.     

The validation of a beta-binomial model for overdispersed binomial data

The beta-binomial model has been widely used as an analytically tractable alternative that captures the overdispersion of an intra-correlated, binomial random variable, X. However, the model validation for X has been rarely investigated. As a beta-binomial mass function takes on a few different shapes, the model validation is examined for each of the classified shapes in this article. Further, the mean square error (MSE) is illustrated for each shape by the maximum likelihood estimator (MLE) based on a beta-binomial model approach and the method of moments estimator (MME) in order to gauge when and how much the MLE is biased.     

Cure rate model with bivariate interval censored data

A mixture model is proposed to analyze a bivariate interval censored data with cure rates. There exist two types of association related with bivariate failure times and bivariate cure rates, respectively. A correlation coefficient is adopted for the association of bivariate cure rates and a copula function is applied for bivariate survival times. The conditional expectation of unknown quantities attributable to interval censored data and cure rates are calculated in the E-step in ES (Expectation-Solving algorithm) and the marginal estimates and the association measures are estimated in the S-step through a two-stage procedure. A simulation study is performed to evaluate the suggested method and a real data from HIV patients is analyzed as a real data example.     

Bayesian Fourier clustering of gene expression data

Clustering gene expression data are an important step in providing information to biologists. A Bayesian clustering procedure using Fourier series with a Dirichlet process prior for clusters was developed. As an optimal computational tool for this Bayesian approach, Gibbs sampling of a normal mixture with a Dirichlet process was implemented to calculate the posterior probabilities when the number of clusters was unknown. Monte Carlo study results showed that the model was useful for suitable clustering. The proposed method was applied to the budding yeast Saccaromyces cerevisiae and provided biologically interpretable results.     

Directional dependence via Gaussian copula beta regression model with asymmetric GARCH marginals

This article proposes a new directional dependence by using the Gaussian copula beta regression model. In particular, we consider an asymmetric Generalized AutoRegressive Conditional Heteroscedasticity (GARCH) model for the marginal distribution of standardized residuals to make data exhibiting conditionally heteroscedasticity to white noise process. With the simulated data generated by an asymmetric bivariate copula, we verify our proposed directional dependence method. For the multivariate direction dependence by using the Gaussian copula beta regression model, we employ a three-dimensional archemedian copula to generate trivariate data and then show the directional dependence for one random variable given two other random variables. With West Texas Intermediate Daily Price (WTI) and the Standard & Poor’s 500 (S&P 500), our proposed directional dependence by the Gaussian copula beta regression model reveals that the directional dependence from WTI to S&P 500 is greater than that from S&P 500 to WTI. To validate our empirical result, the Granger causality test is conducted, confirming the same result produced by our method.     

Who Are the Anonymous? Involvement and Predictors of Gamblers Anonymous Attendance Among Disordered Gamblers Presenting for Treatment

Gamblers Anonymous is the most widely available form of support for disordered gambling. Although chapters exist worldwide, knowledge of how attendees interact with the program is limited. The present study aimed to investigate involvement in Gamblers Anonymous among attendees, motives for attendance, and overall satisfaction with the program. Furthermore, potential gambling-related predictors of attendance versus deciding not to attend Gamblers Anonymous were investigated. A treatment-seeking sample of disordered gamblers (N?=?512) from São Paulo, Brazil completed a series of self-report measures including an author-compiled Gamblers Anonymous survey. From the sample, 141 gamblers reported attending Gamblers Anonymous over the previous 30 days. An examination of involvement, satisfaction, and motives for attending Gamblers Anonymous was conducted, followed by regression analyses to assess predictors of attendance and satisfaction with the program. The majority of attendees (80%) reported some satisfaction with the program. The most common motive for attending Gamblers Anonymous was related to relapse prevention. Regression analyses revealed that greater gambling severity and number of days gambled were associated with not attending Gamblers Anonymous while giving testimonials was strongly related (OR?=?6.18) to satisfaction with the program. The findings of this study contribute to the literature on Gamblers Anonymous. In particular, that members derive great satisfaction from the program and see it as a way to strengthen their abstinence goals. However, despite high satisfaction, the results also suggest that most members were passively involved in the program. More research that assesses the effectiveness of Gamblers Anonymous as either a stand-alone or adjunct treatment is needed.     

The Risk Factors of Sexual Behavior Among Middle School Students in South Korea

Understanding sexual intercourse among adolescents is an important public health issue. To establish the risk factors of coitus among youth, we use 11th Korea Youth Risk Behaviour Web-based Survey data. Participants were completed a questionnaire on sexual behaviour, alcohol consumption, smoking, mental health, physical activity, weight management, health equity, and others. Among boys, coitus experience was higher in boys-only schools than in mixed-sex schools; conversely, in girls, coitus experience was higher in mixed-sex schools than in girls-only schools. High economic status, having step-parents, consuming alcohol or tobacco, low sex education, and low happiness scores were associated with coitus in boys, while the factors in girls were consuming alcohol or tobacco, low body mass index, low happiness score, and low academic performance. Boys with high economic status should be regarded as high risk, and mental health appears important for sexual health in both boys and girls.     

Examining cultural and gender similarities and differences in college students’ value of communication skills in romantic relationships

This study assessed and compared the communication skills that native Chinese and native American college students value in the context of romantic relationships. A total of 319 Chinese and 262 American college students responded to questionnaires that assessed the values they placed on six different communication skills. The results showed that the American students valued four of six communication skills more than the Chinese students (i.e. conversational, informative, listening, and narrative skills). The men and women in both cultural groups valued affective communication skills more than instrumental communication skills. In both cultural groups, women placed greater value on affective communication skills than men. The findings also showed a significant mediating effect of gender orientation (masculinity and femininity) on the value placed on communication skills and a significant effect of self-construal, which mediated between nationality and the value assigned to communication skills.     

A moderated mediation model of the relationship between abusive supervision and knowledge sharing

This study uses the conservation of resources theory to examine the influence of a leader's destructive behaviors by investigating how emotional exhaustion resulting from abusive supervision affects employees' knowledge-sharing behaviors. Using a moderated mediation framework, this study suggests that organizational justice moderates the positive relationship between abusive supervision and employees' emotional exhaustion and attenuates the negative indirect effect of abusive supervision on employees' knowledge-sharing behaviors. The results of this study, drawn from a sample of 202 dyads comprising full-time employees and their immediate supervisors, support most of its hypotheses. The implications and limitations of the study, as well as directions for future research, are discussed.