Rupert B. Vance on Population

Rupert B. Vance, a distinguished sociologist, was a true Renaissance man whose writings spanned a variety of disciplines and touched on many issues of public as well as professional interest. As is typical of such scholars, his writings are published in a broad range of books, journals, newspapers, and other outlets. Reed and Singal (1982) brought together a selection of his writings on the South as a region, but his works in other areas have not been synthesized. The effort here is to assess his contributions to the field of population. Although no great ideas in population analysis are associated with his name, a review of his publications shows that he often was ahead of his time in dealing with issues and his influence on the field can be profoundly felt.     

Examining risk and protective factors on progression of romantic relational aggression among young adults: Parental control,parental care,and peer social support

Abstract

Romantic relational aggression is related to numerous mental health consequences but risk and protective factors of perpetrating this type of aggression, historically, have been unclear. This study fills in the research gap by evaluating the impact of parental control, parental care, and peer social support on later perpetration in romantic relational aggression among 84 predominately Chinese college students. Results revealed the positive association between parental control and perpetration in romantic relational aggression, however, this association diminished in the presence of high peer social support (HSS). Despite insignificance in the main effect, parental care was negatively correlated with later perpetration in romantic relationship in the HSS group while a positive association was found in the low peer social support (LSS) group. These highlights provided evidences how parental control and parental care during childhood could be risk factors for later romantic relational aggression as well as how current social support from peer could serve as a protective factor on the negative influence from parent–child relationships.     

Welfare Reform and Elderly Immigrants' Health Insurance Coverage: The Roles of Federal and State Medicaid Eligibility Rules

Immigrants' access to federally-funded Medicaid became limited after welfare reform imposed restrictive noncitizen eligibility rules. This study used a representative sample from the Current Population Survey (N?=?105,873) and state-level data to examine the effects of these policy changes on elderly immigrants. Triple difference-in-differences analyses show that federal restriction of eligibility had a significantly negative association with elderly immigrants' Medicaid coverage, and generous state eligibility had significantly positive relationships with Medicaid and any health insurance coverage. Findings indicate the important role of eligibility on elderly immigrants' health insurance coverage. Results call for social workers' actions to expand elderly immigrants' Medicaid eligibility.     

The Development and Initial Psychometric Evaluation of the Korean Career Stress Inventory for College Students

The purpose of this study was to develop a Korean College Stress Inventory (KCSI), which is designed to measure Korean college students' experiences and symptoms of career stress. Even though there have been numerous scales related to career issues, few scales measure the career stress construct and its dimensions. Factor structure, internal consistency, and concurrent validity of the KCSI scores are described. Results indicated that the internal consistency reliabilities of 4 KCSI subscale scores were reasonably high. In addition, the exploratory and confirmatory factor analyses indicated that the modified 4‐factor solution seemed to provide a reasonably good fit to the data. Implications, limitations, and recommendations for future research are discussed.     

Adaptive designs for IVPT data with mixed scaled average bioequivalence

In vitro permeation tests (IVPT) offer accurate and cost-effective development pathways for locally acting drugs, such as topical dermatological products. For assessment of bioequivalence, the FDA draft guidance on generic acyclovir 5% cream introduces a new experimental design, namely the single-dose, multiple-replicate per treatment group design, as IVPT pivotal study design. We examine the statistical properties of its hypothesis testing method—namely the mixed scaled average bioequivalence (MSABE). Meanwhile, some adaptive design features in clinical trials can help researchers make a decision earlier with fewer subjects or boost power, saving resources, while controlling the impact on family-wise error rate. Therefore, we incorporate MSABE in an adaptive design combining the group sequential design and sample size re-estimation. Simulation studies are conducted to study the passing rates of the proposed methods—both within and outside the average bioequivalence limits. We further consider modifications to the adaptive designs applied for IVPT BE trials, such as Bonferroni's adjustment and conditional power function. Finally, a case study with real data demonstrates the advantages of such adaptive methods.     

Impacts of child development accounts on parenting practices: evidence from a randomised statewide experiment

ABSTRACT

This study examines the impact of Child Development Accounts (CDAs) on parenting practices of mothers with young children in a statewide randomised experiment conducted in the United States. The experiment included 2704 primary caregivers of children born in Oklahoma during 2007: 1358 were randomly assigned to the treatment group and 1346 to the control group. Structural equation modelling suggests that the punitive-parenting score among treatment participants was .12 standard deviations smaller than that among control participants (p < . 05). Findings indicate that CDAs reduce punitive parenting, and may serve as an additional tool for positive parent–child interactions.     

A Combined D.C. Optimization—Ellipsoidal Branch-and-Bound Algorithm for Solving Nonconvex Quadratic Programming Problems

In this paper we propose a new branch-and-bound algorithm by using an ellipsoidal partition for minimizing an indefinite quadratic function over a bounded polyhedral convex set which is not necessarily given explicitly by a system of linear inequalities and/or equalities. It is required that for this set there exists an efficient algorithm to verify whether a point is feasible, and to find a violated constraint if this point is not feasible. The algorithm is based upon the fact that the problem of minimizing an indefinite quadratic form over an ellipsoid can be efficiently solved by some available (polynomial and nonpolynomial time) algorithms. In particular, the d.c. (difference of convex functions) algorithm (DCA) with restarting procedure recently introduced by Pham Dinh Tao and L.T. Hoai An is applied to globally solving this problem. DCA is also used for locally solving the nonconvex quadratic program. It is restarted with current best feasible points in the branch-and-bound scheme, and improved them in its turn. The combined DCA-ellipsoidal branch-and-bound algorithm then enhances the convergence: it reduces considerably the upper bound and thereby a lot of ellipsoids can be eliminated from further consideration. Several numerical experiments are given.     

Insights on medical tourism: markets as networks and the role of strong ties

Despite a huge amount of speculation and expectation surrounding medical tourism, hard empirical evidence is only now beginning to emerge. This paper widens the focus of discussion by contrasting two country experiences (UK and Korea) which on the surface illustrate the diversity of medical tourism and little else. However, considered more comparatively, the accounts contribute toward wider, albeit tentative, theoretical understandings, and insights. The paper is drawn from two broad programs of empirical study conducted over three years in UK and Korea, respectively. The article is structured in three parts: first, a brief overview of policy, legislative, and accreditation frameworks that exist to govern medical tourist flows. Second, we present evidence around flows, demographics, treatment, and medical tourism for Korea and UK (both for supply and demand). Third, we examine conceptual and theoretical implications of this evidence. We argue that viewing medical tourism as a global market is problematic; some medical tourist markets are best viewed as networks with long-term exchange relationships; some specific areas of activity do function more strongly as price-related; decision making around medical tourism frequently involves a range of information and social networks (economic action as embedded social structure); and medical tourism is a function of globalization.     

Semiparametric methods in nonlinear time series analysis: a selective review

Time series analysis is a tremendous research area in statistics and econometrics. In a previous review, the author was able to break down up 15 key areas of research interest in time series analysis. Nonetheless, the aim of the review in this current paper is not to cover a wide range of somewhat unrelated topics on the subject, but the key strategy of the review in this paper is to begin with a core the ‘curse of dimensionality’ in nonparametric time series analysis, and explore further in a metaphorical domino-effect fashion into other closely related areas in semiparametric methods in nonlinear time series analysis.     

Efficient method for identification of cyclic trends in incidence

Various methods for estimating the parameters of the simple harmonic curve and corresponding statistics for testing the significance of the sinusoidal trend are investigated. The locally reasonable method is almost fully efficient when the size of the trend is very small; however, the maximum likelihood method is preferred generally, especially when the trend is not very small. The log likelihood ratio test is more powerful than the R test which is based on locally reasonable estimates. The efficient method and the log likelihood ratio or equivalent tests are the best statistical techniques for identifying the cyclical trend. Thus they are the methods of choice when adequate computing facilities are available.