Planned Happenstance Skills and Occupational Identity Status in High School Students

This study investigated how the 5 components of planned happenstance skills are related to adolescents' occupational identity statuses. A canonical correlation analysis was performed with a sample of 370 high school students in South Korea. The results indicated that higher identity statuses (i.e., achievement and moratorium statuses) were significantly related to the 5 components of planned happenstance skills, whereas lower identity statuses (i.e., foreclosure and diffusion statuses) were not significantly related to the 5 components of planned happenstance skills. In addition, the results of the mediation analysis indicated that the transition from moratorium to achievement status was positively mediated by 3 components of planned happenstance skills: optimism, persistence, and risk taking.     

The lesbian rights movement and feminism in South Korea

The lesbians' rights movement in South Korea has undertaken various projects for solidarity with feminist movement groups for over 10 years. In spite of these efforts, lesbian issues have been blatantly excluded from all the agendas of women's rights. The same thing has happened in Women's Studies. Some feminists express homophobic thoughts without understanding the reality of lesbians, and other young scholars take on a lesbian identity temporarily as a sign of being progressive and liberated; in neither situation are they committed to dealing with the oppression of lesbians or seeing lesbian rights as a feminist concern. In order to further lesbian rights there are two strategies possible: forming a movement only for lesbians or forming solidarity with feminists. In the latter case, a concern about lesbian rights will help achieve the goals of a true feminism as patriarchy is built upon heterosexism. doi:10.1300/J155v10n03_11.     

Bayesian automatic polynomial wavelet regression

This paper considers the problem of Bayesian automatic polynomial wavelet regression (PWR). We propose three different Bayesian methods based on integrated likelihood, conditional empirical Bayes, and reversible jump Markov chain Monte Carlo (MCMC). From the simulation results, we find that the proposed methods are similar to or superior to the existing ones.     

Several biplot methods applied to gene expression data

DNA microarray experiments result in enormous amount of data, which need careful interpretation. Biplot approaches show simultaneous display of genes and samples in low-dimensional graphs and thus can be used to represent the relationships between genes and samples. There are several different types of biplots, and these methods need to be evaluated because each plot provides different result.     

Work of Full‐Time Mothers: Putting Voice to the Relational Theory of Working

The purpose of this qualitative research was to explore the work experience of middle‐class, Korean full‐time mothers in their 50s. Interviews, observations, and photographs were collected from 11 Korean full‐time mothers to understand their work and career experiences. The data were analyzed by a case study qualitative method of inquiry. The themes that emerged from the data were paths to becoming full‐time mothers, multiple working roles from relationships, dialectical characteristics of work, meaning of full‐time mothering, and regrets and internalized biases for full‐time motherhood. The findings illustrate how full‐time mothers experience a sense of meaning and mattering from their work; how relationships and work are intertwined in their lives; and how gender, social class, and culture influence the work and relationships of full‐time mothers. Implications for counselors and researchers are discussed.     

Comparison of designs for the three-fold nested random model

The quality of estimation of variance components depends on the design used as well as on the unknown values of the variance components. In this article, three designs are compared, namely, the balanced, staggered, and inverted nested designs for the three-fold nested random model. The comparison is based on the so-called quantile dispersion graphs using analysis of variance (ANOVA) and maximum likelihood (ML) estimates of the variance components. It is demonstrated that the staggered nested design gives more stable estimates of the variance component for the highest nesting factor than the balanced design. The reverse, however, is true in case of lower nested factors. A comparison between ANOVA and ML estimation of the variance components is also made using each of the aforementioned designs.     

Bayesian estimation for the exponentiated Weibull model under Type II progressive censoring

Based on progressive Type II censored samples, we have derived the maximum likelihood and Bayes estimators for the two shape parameters and the reliability function of the exponentiated Weibull lifetime model. We obtained Bayes estimators using both the symmetric and asymmetric loss functions via squared error loss and linex loss functions. This was done with respect to the conjugate priors for two shape parameters. We used an approximation based on the Lindley (Trabajos de Stadistca 21, 223–237, 1980) method for obtaining Bayes estimates under these loss functions. We made comparisons between these estimators and the maximum likelihood estimators using a Monte Carlo simulation study.     

Regression analysis of competing risks data via semi-parametric additive hazard model

When the subjects in a study possess different demographic and disease characteristics and are exposed to more than one types of failure, a practical problem is to assess the covariate effects on each type of failure as well as on all-cause failure. The most widely used method is to employ the Cox models on each cause-specific hazard and the all-cause hazard. It has been pointed out that this method causes the problem of internal inconsistency. To solve such a problem, the additive hazard models have been advocated. In this paper, we model each cause-specific hazard with the additive hazard model that includes both constant and time-varying covariate effects. We illustrate that the covariate effect on all-cause failure can be estimated by the sum of the effects on all competing risks. Using data from a longitudinal study on breast cancer patients, we show that the proposed method gives simple interpretation of the final results, when the primary covariate effect is constant in the additive manner on each cause-specific hazard. Based on the given additive models on the cause-specific hazards, we derive the inferences for the adjusted survival and cumulative incidence functions.     

Gay Seouls: Expanding Religious Spaces for Non-Heterosexuals in South Korea

What Protestant congregations offer spaces for worship and dialogue among persons with different sexual orientations? The academic literature finds or assumes that non-heterosexuals are stigmatized or invisible in theologically conservative congregations and are welcomed in progressive, affirming congregations. This article develops an alternative claim that some conservative or evangelical congregations offer attractive spaces for non-heterosexuals to worship and dialogue. We illustrate with an exploratory study of four congregations in South Korea—two theologically progressive, two evangelical—whose pastors welcomed everybody regardless of sexual orientation or gender identity. The “inclusive-evangelical” congregations retained conservative theology on sexuality (sexual relations only within heterosexual marriage) but offered more empathic dialogue with non-heterosexuals than did most evangelical congregations; they also provided more resources, conventional religious culture, and ties to traditional affective networks than the affirming-progressive congregations. Inclusive-evangelical congregations offer an institutional venue for non-heterosexual Christians in Korea to potentially reconcile three central values: conservative Christianity, traditional (Confucian) affective networks, and expressive individualism.