Kinship care and issues in permanency planning

Kinship caregivers are a child-care resource for families experiencing stress or temporary parenting due to illness, incarceration, or death of a parent. This article examines whether and how felt caregiver burden influences the reported propensity of caregivers to want to adopt the children in their care. Kinship caregivers who were enrolled in KinNET completed the survey (N = 102) and the data were entered anonymously into SPSS for analysis. Their mean age was 57.51 years (SD = 10.13), 95% were female (SD = .19), and two-thirds were non-white (SD = .73). Using “likelihood of adopting the child in my care,” as the outcome variable in the linear regression analysis, caregiver’s age, monthly income, and total hours employed were significant predictors. Total pressures, family service needs, and physical problems scales were not statistically significant predictors. The adjusted R square was .439 and significant (.006). Understanding the factors that are predictive of adopting children in kinship care will help programs target services more effectively. Helping kinship caregivers and the children in their care is also important in promoting their health and social well-being.     

Availability of Mental Health Services for Individuals Who Are Deaf or Deaf-Blind

A survey of state mental health agencies found that a majority have no specific policy or procedure regarding how to provide mental health services to persons who are deaf or who are deaf-blind. Agency representatives report that staff lack knowledge of how to provide mental health services to persons who are deaf-blind and the agencies lack qualified interpreters. They recommend training for social workers and counselors to address best practices in working with people who are deaf-blind concerning communication methods and strategies, physical interaction, cultural issues, everyday life, sensory deprivation, ethics, use of an interpreter, and other general issues.     

“Friendly” Initiatives: An Emerging Approach to Improve Communities for Vulnerable Populations

A growing number of cities and towns are implementing “friendly” initiatives to change the community’s social and physical infrastructure to address the needs of a particular vulnerable segment of their population. Three prominent examples are aging-friendly, child-friendly, and immigrant-friendly initiatives. Although the limited but growing literature describes these initiatives as promising strategies to improve the quality of life of the targeted population, to date there has been little written about the underlying goals, values, and assumptions of these efforts. Using the value-critical approach, this article aims to better understand these aspects of population-friendly initiatives by examining the scholarly and grey literature. Social workers engaged in community and policy practice can play a key role in these efforts and call attention to the ways they may alleviate or exacerbate inequities. Future research is needed to assess the effects of these initiatives on their targeted population as well as other community residents.     

Changes in the gender structure: Inequality at the individual,interactional, and macro dimensions

As a society, we've made tremendous progress toward gender equality over the past several decades. Yet there remains significant inequality between women and men. Furthermore, when we look closely at some of the progress made toward gender equality, we find it considerably less impressive than surface appearances. In this article, we review the updated framework of Risman's (2017) gender structure theory and argue that it can help us make sense of the progress we've made as well as analyzing inequality as it persists between women and men. Using gender structure theory, we then show how gender is simultaneously reproduced and contested across the individual, interactional, and macro levels of society within 3 major social domains: work, family, and gender identity.     

Does childhood family structure help create stratification in adult education and labor market attainment?: An argument for the selectivity perspective

Stratification in opportunities for and attainment of educational credentials, stable and well‐paying jobs, wealth, and socioeconomic status causes problems for both individuals and the societies they live in. It is unclear, however, the extent to which important childhood experiences, such as family structure and transitions, shapes opportunity paths and eventual attainment later in adulthood. The intergenerational transmission literature suggests little if any role of family structure in later attainment, while family scholars and demographers find more compelling evidence that childhood family structures and transitions are influential in adulthood. We argue that both perspectives may be identifying selectivity processes that help explain potential links between families of origin and differences in opportunities to attain education, careers, and status. We then provide suggestions for future work in each of these scholarly traditions to help untangle both the degree to which family structure does or does not affect adult attainment and whether selectivity is the key explanation for any such relationships.     

Sexual Functioning in Spanish and Portuguese Young Adults: Initial Validation of the Arizona Sexual Experience Scale

Objectives: The authors conducted an initial validation of the Arizona Sexual Experience Scale (ASEX) and examined the sexual function of Spanish and Portuguese young adults. Methods: Participants were 523 Spanish and 595 Portuguese heterosexual young adults who completed a background questionnaire, the ASEX, and measures of sexual sensation seeking, excitation, and inhibition. Results: The ASEX showed good reliability and validity. Participants reported good sexual function. The most prevalent difficulties in men were related to desire and orgasm, and to orgasm and satisfaction in women. Conclusions: This is a psychometrically sound instrument to assess sexual functioning in Spanish and Portuguese young adults.     

Monitoring the parameter vector of regression models with time-to-event response in phase II processes

In most of the existing specialized literature, monitoring regression models are a special case of profile monitoring. However, not every regression model always represents appropriately a profile data structure. This is clearly the case of the Weibull regression model (WRM) with common shape parameter γ. Even though it might be thought that existing methodologies (especially likelihood-ratio (LRT)-based methods) for monitoring generalized linear profiles can also be successfully applied to monitoring regression models with time-to-event response, it will be shown in this paper that those methodologies work fairly acceptable just for data structures with 1000 observations at least approximately. It was found out that some corrections, often referred to as Bartlett's adjustments, are needed to be implemented in order to improve the accuracy of using the asymptotic distributional properties of the LRT statistic for carrying out the monitoring of WRM with relatively small and moderate dimensions of the available datasets. Simulation studies suggest that the use of the aforementioned corrections make the resulting charts work quite acceptable when available data structures contain 30 observations at least. Detection abilities of the proposed schemes improve as dataset dimension increases.     

Approximate confidence intervals for the weighted kappa coefficient of a binary diagnostic test subject to a case–control design

Case–control design to assess the accuracy of a binary diagnostic test (BDT) is very frequent in clinical practice. This design consists of applying the diagnostic test to all of the individuals in a sample of those who have the disease and in another sample of those who do not have the disease. The sensitivity of the diagnostic test is estimated from the case sample and the specificity is estimated from the control sample. Another parameter which is used to assess the performance of a BDT is the weighted kappa coefficient. The weighted kappa coefficient depends on the sensitivity and specificity of the diagnostic test, on the disease prevalence and on the weighting index. In this article, confidence intervals are studied for the weighted kappa coefficient subject to a case–control design and a method is proposed to calculate the sample sizes to estimate this parameter. The results obtained were applied to a real example.     

Flexible objective Bayesian linear regression with applications in survival analysis

We study objective Bayesian inference for linear regression models with residual errors distributed according to the class of two-piece scale mixtures of normal distributions. These models allow for capturing departures from the usual assumption of normality of the errors in terms of heavy tails, asymmetry, and certain types of heteroscedasticity. We propose a general non-informative, scale-invariant, prior structure and provide sufficient conditions for the propriety of the posterior distribution of the model parameters, which cover cases when the response variables are censored. These results allow us to apply the proposed models in the context of survival analysis. This paper represents an extension to the Bayesian framework of the models proposed in [16]. We present a simulation study that shows good frequentist properties of the posterior credible intervals as well as point estimators associated to the proposed priors. We illustrate the performance of these models with real data in the context of survival analysis of cancer patients.