Acculturation Gap,Intergenerational Conflict,Parenting Style,and Youth Distress in Immigrant Chinese American Families

This study examined mother–child acculturation gaps in relationship to youth distress and the possible mediating role of parent–child conflict and parenting style in a sample of 81 Chinese American families. Hierarchical multiple regression analyses provided partial support for a relationship between acculturation gaps and youth distress. No mediators of this relationship were found; however, post-hoc analyses indicated that intergenerational conflict and parenting style were associated with youth distress above and beyond acculturation gaps. These results suggest that interventions developed to reduce parent–child conflict and increase parental bonding (increase parental warmth and decrease parental overprotection) may be valuable for Chinese American adolescents, regardless of acculturation gap status.     

Determining the optimal double-component assignment for a stochastic computer network

This study determines the optimal double-component assignment based on the system reliability criterion for a computer system, in which the computer system is represented as a network with a set of links and a set of vertices. The double-component assignment is to assign a set of transmission lines (resp. facilities) to the links (resp. vertices) of the network, in which each transmission line (resp. facility) has multiple states due to maintenance or failure. Thus, the computer system according to any double-component assignment is called a stochastic computer network. The system reliability is the probability that the specific units of data are successfully transmitted through the stochastic computer network. An optimization algorithm which integrates the genetic algorithm, minimal paths, and Recursive Sum of Disjoint Products is utilized to find the optimal double-component assignment with maximal system reliability. Several computer networks are utilized to demonstrate the efficiency of the proposed algorithm compared with other algorithms. By solving this problem, data can be more reliably transmitted and thus the organization operation is executed more smoothly.     

The modest effects of fact boxes on cancer screening

Journal of Risk and Uncertainty - As health care becomes increasingly personalized to the needs and values of individual patients, informational interventions that aim to inform and debias consumer...     

Some results on the target set selection problem

In this paper we consider a fundamental problem in the area of viral marketing, called Target Set Selection problem. We study the problem when the underlying graph is a block-cactus graph, a chordal graph or a Hamming graph. We show that if G is a block-cactus graph, then the Target Set Selection problem can be solved in linear time, which generalizes Chen’s result (Discrete Math. 23:1400–1415, 2009) for trees, and the time complexity is much better than the algorithm in Ben-Zwi et al. (Discrete Optim., 2010) (for bounded treewidth graphs) when restricted to block-cactus graphs. We show that if the underlying graph G is a chordal graph with thresholds θ(v)≤2 for each vertex v in G, then the problem can be solved in linear time. For a Hamming graph G having thresholds θ(v)=2 for each vertex v of G, we precisely determine an optimal target set S for (G,θ). These results partially answer an open problem raised by Dreyer and Roberts (Discrete Appl. Math. 157:1615–1627, 2009).     

Global kernel estimator and test of varying‐coefficient autoregressive model

We propose a varying‐coefficient autoregressive model that contains additive models, varying‐ coefficient models, partially linear models and low‐dimensional interaction models as special cases. A global kernel backfitting method is proposed for the estimation and inference of parameters and unknown functions in this model. Key large‐sample results are established, including estimation consistency, asymptotic normality and the generalized likelihood ratio test for parameters and non‐parametric functions. The proposed methodology is examined by simulation studies and applied to examine the relationship between suicide news reports in the three leading newspapers and the daily number of suicides in Taiwan. The relationship between the media reporting and suicide incidence has been established and explored. The Canadian Journal of Statistics 47: 487–519; 2019 © 2019 Statistical Society of Canada     

Generalized Confidence Interval Estimation for the Difference in Paired Areas Under the ROC Curves in the Absence of a Gold Standard

Receiver operating characteristic (ROC) curves can be used to assess the accuracy of tests measured on ordinal or continuous scales. The most commonly used measure for the overall diagnostic accuracy of diagnostic tests is the area under the ROC curve (AUC). A gold standard (GS) test on the true disease status is required to estimate the AUC. However, a GS test may be too expensive or infeasible. In many medical researches, the true disease status of the subjects may remain unknown. Under the normality assumption on test results from each disease group of subjects, we propose a heuristic method of estimating confidence intervals for the difference in paired AUCs of two diagnostic tests in the absence of a GS reference. This heuristic method is a three-stage method by combining the expectation-maximization (EM) algorithm, bootstrap method, and an estimation based on asymptotic generalized pivotal quantities (GPQs) to construct generalized confidence intervals for the difference in paired AUCs in the absence of a GS. Simulation results show that the proposed interval estimation procedure yields satisfactory coverage probabilities and expected interval lengths. The numerical example using a published dataset illustrates the proposed method.     

Relationship Level and Customer Response to Service Recovery

Service failure is inevitable. A better understanding of how relationship level (RL) influences a consumer’s response to service failure and recovery is an important topic for academics and practitioners. This study investigates the connections among consumer RL, failure attributions (i.e., stability and controllability), service failure severity, perceived equity (PE), compensation, and consumers’ future behavior in the context of restaurant service and online shopping. Using equity theory, this study explored the importance of consumers’ entire history of shared interactions with service organizations. Specifically, the study empirically tested the different consequences of compensation by manipulating consumer RL. Consumer RL motivates consumers to follow a different attribution process to judge the severity of service failure and determines consumers’ PE. Moreover, consumers’ PE could then influence their future behavioral intentions, especially how they continue the relationship with the service organization. Findings from the two studies indicate that when additional compensation is offered after a service failure, PE increased regardless of consumer RL. The influence of compensation on PE thus varies as a function of RL. Consumers with a low RL are more sensitive to compensation. Furthermore, enhanced equity perception automatically means that corresponding future relationship continuity is also enhanced. The results further demonstrate that controllability attribution influences service failure severity, which has a negative impact on the PE of the exchange and mediates the effectiveness of compensation as a recovery effort.     

The plan of enrichment designs for dealing with high placebo response

To deal with high placebo response in clinical trials for psychiatric and other diseases, different enrichment designs, such as the sequential parallel design, two‐way enriched design, and sequential enriched design, have been proposed and implemented recently. Depending on the historical trial information and the trial sponsors' resources, detailed design elements are needed for determining which design to adopt. To assist in making more suitable decisions, we perform evaluations for selecting required design elements in terms of power optimization and sample size planning. We also discuss the implementation of the interim analysis related to its applicability.     

Factors Influencing the Career Decision Status of Chinese American Youths

The purpose of this study was to understand how intergenerational family conflict and relational‐interdependent self‐construal influence the career decision status of Chinese American youths. Participants were 129 Chinese American youths, with ages ranging from 14 to 21 years. Results from regression analysis indicated that high intergenerational family conflict was predictive of career indecision. High relational‐interdependent self‐construal, on the other hand, was predictive of career certainty. Implications for counseling and future research are also discussed.     

Shifting the bell curve: the benefits and costs of raising student achievement

Benefit-cost analysis was conducted to estimate the increase in earnings, increased tax revenues, value of less crime, and reductions in welfare costs attributable to nationwide implementation of rapid assessment, a promising intervention for raising student achievement in math and reading. Results suggest that social benefits would exceed total social costs by a ratio of 28. Fiscal benefits to the federal government would exceed costs to the federal treasury by a ratio of 93. Social benefits would exceed costs to each state treasury by a ratio no lower than 286, and fiscal benefits would exceed costs to each state treasury by a ratio no lower than 5, for all but two state treasuries. Sensitivity analyses suggest that the findings are robust to a 5-fold change in the underlying parameters.