Exploring gaps in the online economic inclusion of persons with disabilities in Korea

ABSTRACT

This paper explores the difference in the online economic activities of people with and without disabilities in Korea. We conducted a multiple regression analysis to investigate the impact of socioeconomic characteristics, internet access, and internet skills on online economic activities. Our sample, based on a 2016 dataset that included 1554 people with disabilities and 6004 people without disabilities, was developed using quota sampling based on gender, age, and residence. We determined that individuals with disabilities were more likely to engage in online economic activities if they had higher levels of education, lived in urban areas, were employed, or had greater internet skills. Individuals without disabilities were more likely to engage in online economic activities if they were women, had higher levels of education, were employed, lived in a two-generation or more household, or had greater internet skills. For both people with and without disabilities, the level of education, employment status, and internet skills positively contribute to online economic activites. We also determined that education level, participation in economic activity, living in a two-generation or more household, and internet skills had a statistically significant influence on online economic activity for people both with and without disabilities. These results highlight the importance of education and internet training for people with disabilities, as well as social support systems that help them learn to use the internet in diverse ways through both formal and informal networks. The study also underscores the importance of information and communications technology that adequately addresses people’s needs.     

Environmental and Behavioral Circumstances and Consequences of Falls in a Senior Living Development

This article investigated the role of environmental and behavioral factors surrounding fall incidents in a senior living community. Using a mixed-methods approach, this research included both a retrospective analysis of fall reports and resident interviews. The quantitative analysis showed falls in the bedroom and bathroom were more likely to happen between 12 am and 8 am. Falls in the bathroom were more likely to result in severe injuries compared to falls in other rooms. The qualitative analysis identified three types of fall-related activity (transfer, ambulation, standing) and five behavioral factors surrounding fall incidents (transferring, slipping, misjudged behavior, tripping, health issue).     

Discovering hidden statistical issues through individual-level models in ecological studies

ABSTRACT

In ecological studies, individual inference is made based on results from ecological models. Interpretation of the results requires caution since ecological analysis on group level may not hold in the individual level within the groups, leading to ecological fallacy. Using an ecological regression example for analyzing voting behaviors, we highlight that the explicit use of individual-level models is crucial in understanding the results of ecological studies. In particular, we clarify three relevant statistical issues for each individual-level models: assessment of the uncertainty of parameter estimates obtained from a wrong model, the use of shrinkage estimation method for simultaneous estimation of many parameters, and the necessity of sensitivity analysis rather than adhering to one seemingly most compelling assumption.     

Bayes shrinkage estimator for consistency assessment of treatment effects in multi-regional clinical trials

The primary objective of a multi-regional clinical trial is to investigate the overall efficacy of the drug across regions and evaluate the possibility of applying the overall trial result to some specific region. A challenge arises when there is not enough regional sample size. We focus on the problem of evaluating applicability of a drug to a specific region of interest under the criterion of preserving a certain proportion of the overall treatment effect in the region. We propose a variant of James-Stein shrinkage estimator in the empirical Bayes context for the region-specific treatment effect. The estimator has the features of accommodating the between-region variation and finiteness correction of bias. We also propose a truncated version of the proposed shrinkage estimator to further protect risk in the presence of extreme value of regional treatment effect. Based on the proposed estimator, we provide the consistency assessment criterion and sample size calculation for the region of interest. Simulations are conducted to demonstrate the performance of the proposed estimators in comparison with some existing methods. A hypothetical example is presented to illustrate the application of the proposed method.     

Naturalizing Korean ethnicity and making ‘ethnic’ difference: a comparison of North Korean settlement and foreign bride incorporation policies in South Korea

This article compares North Korean immigrants and foreign bride policies in South Korea. Despite being constructed as distinctive policy target groups, North Korean settlement and foreign bride incorporation policies exhibit striking similarities. The similarities result from the way policy problems are identified and certain solutions are justified; both North Korean immigrants and foreign brides are constructed a burden on welfare and as potential threats to social stability. Policy solutions are justified as they are designed to transform North Korean immigrants and foreign brides into ‘normal’ South Korean citizens. The major difference between two sets of policies lies in assumptions regarding cultural differences. Foreign brides are assumed to carry practices that are foreign and alien to Koreans, while North Korean immigrants are presumed to carry ‘authentic’ and ‘traditional’ Korean culture. Foreign brides’ cultures are visible and alien to South Koreans, and therefore are addressed under the banner of multiculturalism policies. North Korean immigrants are excluded from such policies. This exclusion reflects and reproduces the view of a Korean nation bounded by ethnic and cultural homogeneity.     

大学章程在大学法人化治理中的价值向度与法律限度

大学章程通过对举办者、办学者及其他利益相关者的意志与权利进行确认,并对各相关权利主体进行制度性的规约,起到了理性化的价值引导与依法治理的保障作用.在创建中国特色的现代大学制度过程中,大学章程能不能被视作一种法律,在多大范围内多大程度上发挥作用,需要理性地审视.研究以中外比较、历史比较、现实发展的视角探讨了我国大学章程的法律效力及其限度.大学章程需要基于“自主管理”的诉求,以“共治”的方式实现现代大学制度的“法治”化,以期实现大学的本质价值追求.     

A Diversity Index for Model Space Selection in the Estimation of Benchmark and Infectious Doses via Model Averaging

In chemical and microbial risk assessments, risk assessors fit dose‐response models to high‐dose data and extrapolate downward to risk levels in the range of 1–10%. Although multiple dose‐response models may be able to fit the data adequately in the experimental range, the estimated effective dose (ED) corresponding to an extremely small risk can be substantially different from model to model. In this respect, model averaging (MA) provides more robustness than a single dose‐response model in the point and interval estimation of an ED. In MA, accounting for both data uncertainty and model uncertainty is crucial, but addressing model uncertainty is not achieved simply by increasing the number of models in a model space. A plausible set of models for MA can be characterized by goodness of fit and diversity surrounding the truth. We propose a diversity index (DI) to balance between these two characteristics in model space selection. It addresses a collective property of a model space rather than individual performance of each model. Tuning parameters in the DI control the size of the model space for MA.     

基于项目教学的《化工生产工艺组织》课程评价体系的构建

化工生产工艺组织课程改革中,建立符合课程特色的评价体系非常重要。评价客体多样化、评价主体多元化、评价指标定量化使本课程的评价更加具有发展性,课程组在此基础上构建了过程性考核和终结性考核相结合的评价体系,实施效果很好。