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.     

A modified LGB method for detecting significant effects based on a half-normal probability plot

In analyzing data from unreplicated factorial designs, the half-normal probability plot is commonly used to screen for the ‘vital few’ effects. Recently, many formal methods have been proposed to overcome the subjectivity of this plot. Lawson (1998) (hereafter denoted as LGB) suggested a hybrid method based on the half-normal probability plot, which is a blend of Lenth (1989) and Loh (1992) method. The method consists of fitting a simple least squares line to the inliers, which are determined by the Lenth method. The effects exceeding the prediction limits based on the fitted line are candidates for the vital few effects. To improve the accuracy of partitioning the effects into inliers and outliers, we propose a modified LGB method (hereafter denoted as the Mod_LGB method), in which more outliers can be classified by using both the Carling’s modification of the box plot (Carling, 2000) and Lenth method. If no outlier exists or there is a wide range in the inliers as determined by the Lenth method, more outliers can be found by the Carling method. A simulation study is conducted in unreplicated $2^4$ designs with the number of active effects ranging from 1 to 6 to compare the efficiency of the Lenth method, original LGB methods, and the proposed modified version of the LGB method.     

Influence of Temporal Distance on the Perceived Importance of Career‐Related Self‐Efficacy and Outcome Expectations

Because all career choices are about future actions, time is an important contextual variable in social cognitive career choice ( Hesketh, 2000 ). However, there is a dearth of research examining the effect of time. The authors examined how temporal distance to career entry influences the perceived importance of self‐efficacy and outcome expectations concerning a career pursuit. They also examined the moderating effects of perceived support and barriers, as well as country. The participants were college students in the United States (n= 180) and in South Korea (n= 215). The results of hierarchical regression analyses did not show main effects of time, but a 3‐way interaction indicated the complex interplay of time and other contextual variables. Implications for career counseling and future research are discussed.     

Developmental Latent Patterns of Identification as Mostly Heterosexual Versus Lesbian,Gay, or Bisexual

Scant research exists on the development of mostly heterosexual identity, the largest sexual orientation minority subgroup. We used longitudinal latent class analysis to characterize the patterns of identification with lesbian, gay, bisexual (LGB), or mostly heterosexual identities from ages 12 to 23 in 13,859 youth (57% female) in a U.S. national cohort. Three classes emerged: completely heterosexual (88.2%), mostly heterosexual (9.5%), and LGB (2.4%). LGB class youth generally identified with sexual minority identities by ages 12–17. In contrast, mostly heterosexual class youth identified with sexual minority identities gradually, with steady increases in endorsement starting at the age of 14. Developmental implications of these differential patterns are discussed.     

MOTHER'S EMPLOYMENT DEMANDS, WORK-FAMILY CONFLICT, AND ADOLESCENT DEVELOPMENT

This study revisited the old research question of whether or not maternal employment would adversely affect children's development. We reframed the question by asking how a mother's temporal employment demands might be linked to child development. We used longitudinal data from a sample of 340 white, lower- to middle-class, dual-earner families living in the rural Midwest of the United States. The data were obtained from questionnaires and videotaped observations, and were informed by the mother, the father, the adolescent child, and a trained observer. As predicted, we found a strong relationship between a mother's temporal employment demands and work-family conflict, which was significantly associated with her emotional distress. A husband's egalitarian gender ideology was found to reduce the mother's emotional distress. Maternal distress was then negatively associated with nurturant and involved parenting, which in turn predicted a reduction in the adolescent child's emotional and behavioral problems over time.     

An efficient curve in stochastic capacity expansion

An optimum expansion of a single capacity is considered when the installation cost is very large and future demand is given by an evolving process of Wiener. Risk of expansion is evaluated and included in the decision criteria which links the capacity expansion problem with financial investment theory, Numerical results show the existence of an optimum expansion capacity and an efficient curve which represent the optimum choices with respect to the possible combinations of expansion cost and risk.     

The role of the gerontological social worker in assisted living

This qualitative study reports on thirteen assisted living (AL) administrators' perspectives of the role and the importance of the AL social worker in addressing the unmet needs of older adults as they move and transition into AL. Participant interviews were analyzed using the constant comparative method. Administrators described 5 AL social work roles: (a) decision-making and adjustment coordinator; (b) resident advocate; (c) mental health assessor and counselor; (d) family social worker; and (e) care planner. Implications include directly examining AL social workers' views, analyzing costs and benefits of employing AL social workers, and developing social work practicum sites within AL.     

Accelerated life regression modelling of dependent bivariate time‐to‐event data

To analyze bivariate time‐to‐event data from matched or naturally paired study designs, researchers frequently use a random effect called frailty to model the dependence between within‐pair response measurements. The authors propose a computational framework for fitting dependent bivariate time‐to‐event data that combines frailty distributions and accelerated life regression models. In this framework users can choose from several parametric options for frailties, as well as the conditional distributions for within‐pair responses. The authors illustrate the flexibility that their framework represents using paired data from a study of laser photocoagulation therapy for retinopathy in diabetic patients.     

Statistical Certification of Software Systems

Common software release procedures based on statistical techniques try to optimize the trade-off between further testing costs and costs due to remaining errors. We propose new software release procedures where the aim is to certify with a certain confidence level that the software does not contain errors. The underlying model is a discrete time model similar to the geometric Moranda model. The decisions are based on a mix of classical and Bayesian approaches to sequential testing and do not require any assumption on the initial number of errors.