Explaining Korean Welfare State Development with New Empirical Data and Methods

Selecting Korea as one of the conceptually classified East Asian welfare states, this paper aims to empirically investigate the determinants of Korean welfare state development. Linking the research question with the lively discussion on welfare state in Korea that is taking place domestically, this paper also aims to examine whether the development of the Korean welfare state has been influenced by politics of the left or by industrialization with functionalistic perspectives. We conduct an analysis first by regression analysis and then fuzzy‐set qualitative comparative analysis (fsQCA) to examine the conditions of such development. A Korean Welfare State Dataset (KWSD) has been newly included in the Comparative Welfare State Dataset (CWSD) and we used this new dataset for our empirical analysis. Our empirical findings suggest that, at least up to the current point, factors other than economic development or industrialization are not robust enough to make a claim of a take‐off of the Korean welfare state from its developmental stage. However, we also notice the influence of the left government and suggest that it is legitimate to expect an innovative change in the path of the Korean welfare state once the power resource theory is applicable.     

Risk for a Price: Sexual Activity Solicitations in Online Male Sex Worker Profiles

ABSTRACT

The use of social- and sexual networking-based Web sites designed to provide easy and more anonymous access to sexual partners is rising. The popularity of the use of Web sites by male sex workers to promote their services and find clients is also rising. To date, very little inquiry has been devoted to studying the sexual behaviors solicited within online advertisement profiles of male sex workers and men who have sex with men. This study utilized a widely used popular Internet site designed to advertise to clients and gathered demographic, advertised sexual and nonsexual behaviors, pricing, and safety risk category data from profiles within the state of Florida (n = 163). Pearson chi-square analyses indicated that location and several sexual behaviors were significantly related to how often the men reported the degree to which they had safer sex with clients. These findings suggest some male sex workers do not consistently maintain safer-sex behaviors and that some of these men are engaging in sexual activity while under the influence of drugs. Future recommendations support the need for effective public health outreach that emphasizes the importance of safer sexual decision making.     

Quality of Life in Older Adults: Benefits from Caring Services in Hong Kong

Many older adults are in need of care. Therefore, older people would generally benefit from the use of caring services, notably including home care, residential care, nursing, and medical services. The contributory factors underlying caring services tend to be a caring perspective that aspires to sustain older people’s social relationships and real-life involvement. To gauge the benefits from various social and health services, the present study relies on a large-scale survey of 3000 older adults in Hong Kong, using quality of life as a criterion. Results showed that an older adult who had used (ordinary or enhanced) home care services for a longer time turned out to have appreciably more improvement in quality of life. Besides, those who joined an interest group more frequently were higher in quality of life, including the health domain. On the other hand, frequent use of medical and meal-to-home services were signals that reflected problems detrimental to the older user’s quality of life. Despite this, the quality of clinics or hospitals, as perceived by the older adult, was the most beneficial. As such, caring services that foster older adults’ interests, cater to their health care needs, and embody quality can have principal contribution to their users’ quality of life.     

Restructuring Long-Term Care in Spain: The Impact of The Economic Crisis on Social Policies and Social Work Practice

ABSTRACT

Care needs of the aging population are increasing in Southern European countries. The purpose of this article is to explore the implications of meeting these needs while taking into account the recent economic crisis, which has deeply affected countries such as Spain. This study is part of a European project (ISCH COST Action IS1102) and is based mainly on qualitative information that focuses on in-depth interviews with social service workers (n = 19) who provide the service and program recipients or their caregivers (n = 14). In addition, two discussion groups were conducted with professionals (n = 9) and program volunteers (n = 5), as well as a workshop/discussion group (n = 28) with politicians, service providers, and participants. Six thematic premises were identified with differing views being highlighted relevant to the participants' roles in the program. Future research should explore social service strategies to deal with the increase in care needs as well as community-based responses.     

Internet Gamblers Differ on Social Variables: A Latent Class Analysis

Online gambling has gained popularity in the last decade, leading to an important shift in how consumers engage in gambling and in the factors related to problem gambling and prevention. Indebtedness and loneliness have previously been associated with problem gambling. The current study aimed to characterize online gamblers in relation to indebtedness, loneliness, and several in-game social behaviors. The data set was obtained from 584 Internet gamblers recruited online through gambling websites and forums. Of these gamblers, 372 participants completed all study assessments and were included in the analyses. Questionnaires included those on sociodemographics and social variables (indebtedness, loneliness, in-game social behaviors), as well as the Gambling Motives Questionnaire, Gambling Related Cognitions Scale, Internet Addiction Test, Problem Gambling Severity Index, Short Depression–Happiness Scale, and UPPS-P Impulsive Behavior Scale. Social variables were explored with a latent class model. The clusters obtained were compared for psychological measures and three clusters were found: lonely indebted gamblers (cluster 1: 6.5%), not lonely not indebted gamblers (cluster 2: 75.4%), and not lonely indebted gamblers (cluster 3: 18%). Participants in clusters 1 and 3 (particularly in cluster 1) were at higher risk of problem gambling than were those in cluster 2. The three groups differed on most assessed variables, including the Problem Gambling Severity Index, the Short Depression–Happiness Scale, and the UPPS-P subscales (except the sensation seeking subscore). Results highlight significant between-group differences, suggesting that Internet gamblers are not a homogeneous group. Specific intervention strategies could be implemented for groups at risk.     

Ordered Regressions

There are often situations where two or more regression functions are ordered over a range of covariate values. In this paper, we develop efficient constrained estimation and testing procedures for such models. Specifically, necessary and sufficient conditions for ordering generalized linear regressions are given and shown to unify previous results obtained for simple linear regression, for polynomial regression and in the analysis of covariance models. We show that estimating the parameters of ordered linear regressions requires either quadratic programming or semi‐infinite programming, depending on the shape of the covariate space. A distance‐type test for order is proposed. Simulations demonstrate that the proposed methodology improves the mean square error and power compared with the usual, unconstrained, estimation and testing procedures. Improvements are often substantial. The methodology is extended to order generalized linear models where convex semi‐infinite programming plays a role. The methodology is motivated by, and applied to, a hearing loss study.     

Prediction in multilevel generalized linear models

Summary.  We discuss prediction of random effects and of expected responses in multilevel generalized linear models. Prediction of random effects is useful for instance in small area estimation and disease mapping, effectiveness studies and model diagnostics. Prediction of expected responses is useful for planning, model interpretation and diagnostics. For prediction of random effects, we concentrate on empirical Bayes prediction and discuss three different kinds of standard errors; the posterior standard deviation and the marginal prediction error standard deviation (comparative standard errors) and the marginal sampling standard deviation (diagnostic standard error). Analytical expressions are available only for linear models and are provided in an appendix . For other multilevel generalized linear models we present approximations and suggest using parametric bootstrapping to obtain standard errors. We also discuss prediction of expectations of responses or probabilities for a new unit in a hypothetical cluster, or in a new (randomly sampled) cluster or in an existing cluster. The methods are implemented in gllamm and illustrated by applying them to survey data on reading proficiency of children nested in schools. Simulations are used to assess the performance of various predictions and associated standard errors for logistic random-intercept models under a range of conditions.