Where angels fear to tread: Richard Schoenherr (1935–1996)

Richard Schoenherr, professor of sociology at the University of Wisconsin — Madison, passed away unexpectedly on 9 January 1996. He is memorialized in this essay for his scholarly contributions in the areas of teaching, research, and service.     

Censored Kullback-Leibler Information and Goodness-of-Fit Test with Type II Censored Data

The Kulback-Leibler information has been considered for establishing goodness-of-fit test statistics, which have been shown to perform very well (Arizono & Ohta, 1989; Ebrahimi et al., 1992, etc). In this paper, we propose censored Kullback-Leibler information to generalize the discussion of the Kullback-Leibler information to the censored case. Then we establish a goodness-of-fit test statistic based on the censored Kullback-Leibler information with the type 2 censored data, and compare the test statistics with some existing test statistics for the exponential and normal distributions.     

Gender in Academic Career Tracks: The Case of Korean Biochemists

How important is academic performance in obtaining a tenure‐track position in academic science? I use data on Korean biochemists and analyze them from both institutionalist and gender perspectives. In so doing, I illustrate the ways academic performance and gender interact with one another to maintain a gender barrier for Ph.D.s entering an academic career. The main findings are as follows. First, academic productivity did influence the job market outcomes, but the male scientists benefited from publications in both SCI and non‐SCI journals, whereas the female scientists benefited only from those in SCI journals. I also found a positive effect of overseas doctoral training only for the female scientists. Such analysis suggests that women as a minority in academic science are pressured to prove their legitimacy through more rigorous criteria of academic performance. Thus, ostensibly gender‐neutral rules of academic performance can be applied in such a way as to maintain gender inequality.     

NEGOTIATING CONTINUITY: Family and Religious Socialization for Second-Generation Asian Americans

This article examines second-generation Asian Americans' explanations of the significant influences on their own religious identities. Data include interviews (N = 73) with college-aged Asian Americans from different religious traditions and ethnic backgrounds. Respondents viewed families as the most significant influence on current religiosity. Mothers and fathers were mentioned most often, followed by extended kin, siblings, and relatives, who acted as what we call "reinforcers,""substitutes," or "contrasts" to the roles that parents played in religious socialization. These roles occurred along two religious configurations within families: heterogeneous or homogeneous degrees of religious commitment and religious affiliation. Directions for future research and contributions to the religious transmission literature follow.     

A Nonparametric Test Procedure Based on Quantiles for the Right Censored Data

In this study, we propose nonparametric tests using the several quantile statistics simultaneously for the right censored data. First of all, we consider statistics of the quadratic form with estimated covariance matrices. Then we derive the limiting distribution using the large sample approximation theory. Also we consider different forms of statistics such as the maximal and summing types with their limiting distributions. Then we illustrate our procedure with examples and compare performance among tests with empirical powers through a simulation study. Also we comment briefly on some interesting features including re-sampling methods as concluding remarks. Finally in Appendices, we provide proofs for the theoretic results needed for the derivation of the limiting distributions of the proposed test statistics.     

The Development of a Screening Tool for the Adult Children of Alcoholics Traits (STACAT)

In order to develop a valid tool for screening the traits of adult children of alcoholics (ACOA), this study focused on finding common characteristics among ACOA and developing a tool based on those characteristics. An item pool was generated targeting three distinct characteristics discussed in the alcohol literature related to ACOA, and the items were reviewed by a panel of experts. Using data from the sample, a confirmatory factor analysis, t -test and correlation analysis were conducted to gather various validity evidences for the screening tool. Cronbach's coefficient alpha test was used to check the internal consistency of the tool. The evidence of the reliability and validity for the ACOA traits screening tool provide the social work practice with an empirically validated method of measuring these traits in the children of alcoholics.     

Coffee intake,health-related quality of life,and associated factors of overactive bladder in older Korean women living in rural South Korea

ABSTRACT

Overactive bladder (OAB) is a common health problem in older women. The aim of the study was to investigate coffee consumption, health-related quality of life (HRQOL), and associated factors of OAB in older Korean women living in rural South Korea. A total of 248 women aged 65 years and older participated in this study. Chi-square tests, t-tests, and multivariable logistic regressions were performed. The means of coffee consumption between OAB and non-OAB groups were not significantly different. Women with OAB showed significantly lower HRQOL than women with stress urinary incontinence only. OAB was associated with high body mass index and poor health status.     

Likelihood ratio tests for multivariate normality

This paper presents some powerful omnibus tests for multivariate normality based on the likelihood ratio and the characterizations of the multivariate normal distribution. The power of the proposed tests is studied against various alternatives via Monte Carlo simulations. Simulation studies show our tests compare well with other powerful tests including multivariate versions of the Shapiro–Wilk test and the Anderson–Darling test.     

Reliability analysis of load-sharing systems with memory

The load-sharing model has been studied since the early 1940s to account for the stochastic dependence of components in a parallel system. It assumes that, as components fail one by one, the total workload applied to the system is shared by the remaining components and thus affects their performance. Such dependent systems have been studied in many engineering applications which include but are not limited to fiber composites, manufacturing, power plants, workload analysis of computing, software and hardware reliability, etc. Many statistical models have been proposed to analyze the impact of each redistribution of the workload; i.e., the changes on the hazard rate of each remaining component. However, they do not consider how long a surviving component has worked for prior to the redistribution. We name such load-sharing models as memoryless. To remedy this potential limitation, we propose a general framework for load-sharing models that account for the work history. Through simulation studies, we show that an inappropriate use of the memoryless assumption could lead to inaccurate inference on the impact of redistribution. Further, a real-data example of plasma display devices is analyzed to illustrate our methods.