Interpersonal violence against people with disabilities: understanding the problem from a rural context

Interpersonal violence against people with disabilities is a significant social problem. Little attention has focused on the rural context and the relevance for understanding violence. Given the dearth of literature exploring interpersonal violence, disability, and rurality, a review of rural-focused literature on domestic violence, sexual violence, and elder abuse was conducted to identify themes that could provide insight into this problem for people with disabilities. Themes include geographic isolation, traditional cultural values and norms, lack of anonymity, lack of resources, and poor response of systems. Implications for understanding interpersonal violence against rural people with disabilities and for social work practice are discussed.     

EAP Service Use in a Managed Behavioral Health Care Organization: From the Employee Perspective

Contemporary employee assistance program (EAP) services are typically provided in broad-brush programs delivered by large external vendors in a network model. Yet research has not kept pace with EAP evolution, including in terms of how EAP clients themselves view services. We surveyed a random sample of EAP service users from a national provider (361 respondents). About one-third of respondents reported getting help for workplace issues. Most learned about the EAP through employer communications such as the company website. The large majority reported that the EAP helped them "a lot" or "some," suggesting they valued this benefit.     

International NGOs and National Regulation in an Age of Terrorism

This article examines the regulation of international non-governmental organizations (INGOs) in the United States, United Kingdom, Canada, Germany, and Japan to answer two questions. First, to what extent has the domestic institutional context facing INGOs changed following dramatic attacks by transnational terrorists on Western liberal democracies? Second, what effect has new counterterrorism legislation had on the organizational and strategic decisions of INGOs, and thus their locations and operations, since 2001? We argue that formal regulations on non-profits have changed less than expected, given widespread alarm about counterterrorism legislation in non-profit communities around the world. However, a new climate of uncertainty has hampered INGOs ability to adjust appropriately to their new institutional environment. Counterterrorism regulations have thus generated unintended consequences, including inefficiencies, redistribution of resources, and self-censorship that may outweigh the benefits for national security given the limited nature of much of the regulatory change.     

Open sourced organizational learning: implications and challenges of crowdsourcing for human resource development (HRD) practitioners

As the value of organizational learning as a source of competitive advantage has become increasingly evident, human resource development (HRD) practitioners may face stronger demands to develop training more quickly and efficiently and increase rates of training transfer. One approach is to externally source organizational learning. In using this approach, it may be important for HRD practitioners to both develop training to engage external participants while utilizing organization development solutions to help internal employees adjust to the change. By examining the impact of open sourced and crowdsourced organizational learning on HRD practitioners, it is hoped that HRD practitioners may engage in informed workplace learning practice, even as the nature of the employment contract changes.     

2 Old Assumptions,New Work

Abstract

We review the literature on nonstandard work with three aims: to portray the breadth and nature of the research and theorizing to date, to document the challenges and opportunities this domain poses to both practice and theory, and to bring the study of nonstandard work more to the center stage of micro-OB. After defining nonstandard work and documenting scholarly interest in it, we discuss the literature on the experience of nonstandard workers, on managing the nonstandard workforce, as well as that on managing the interface between standard and nonstandard workers. We analyze the themes that are raised in these literatures and point to new research questions that need to be addressed. Research on nonstandard work can enhance our understanding of the nature of work, the relationship between individuals and organizations, and how organizations and individuals can undertake these new work forms.     

Dealing with noncompliance and missing outcomes in a randomized trial using Bayesian technology: Prevention of perinatal sepsis clinical trial,Soweto, South Africa

The success of interventions designed to address important issues in social and medical science is best addressed by randomized experiments. With human beings there are often complications, however, such as noncompliance and missing data. Such complications are often addressed by statistically invalid methods of analysis, in particular, intention-to-treat and per-protocol analyses. Here we address these two complications using a statistically valid approach based on principal stratification with a fully Bayesian analysis. This analysis is applied to a randomized trial of a potentially important intervention designed to reduce the transmission of bacterial colonization between mothers and their infants through vaginal delivery in South Africa: the Prevention of Perinatal Sepsis (PoPs).     

The Family Unpredictability Scale: Reliability and Validity

We developed the Family Unpredictability Scale (FUS) to better understand the factors that underlie the presence and consequences of family dysfunction. Familial unpredictability is defined as a lack of consistency in family behaviors and regulatory systems. Family researchers and therapists generated and evaluated items, which were self‐administered by married parents who had children aged 2 to 18 (N= 314 ). Principal‐components analysis yielded four subscales (discipline, nurturance, meals, and money; 22 items total) that were internally consistent; confirmatory factor analysis based on a separate subsample yielded an adequate preliminary representation of this factor structure. The FUS related significantly to known measures of family and individual functioning but not to social desirability. The present study provides preliminary reliability, construct validity, and concurrent validity for this new multidimensional, self‐report assessment of family unpredictability. Research and clinical implications are discussed.     

Nonparametric confidence intervals for Tmax in sequence-stratified crossover studies

Tmax is the time associated with the maximum serum or plasma drug concentration achieved following a dose. While Tmax is continuous in theory, it is usually discrete in practice because it is equated to a nominal sampling time in the noncompartmental pharmacokinetics approach. For a 2-treatment crossover design, a Hodges-Lehmann method exists for a confidence interval on treatment differences. For appropriately designed crossover studies with more than two treatments, a new median-scaling method is proposed to obtain estimates and confidence intervals for treatment effects. A simulation study was done comparing this new method with two previously described rank-based nonparametric methods, a stratified ranks method and a signed ranks method due to Ohrvik. The Normal theory, a nonparametric confidence interval approach without adjustment for periods, and a nonparametric bootstrap method were also compared. Results show that less dense sampling and period effects cause increases in confidence interval length. The Normal theory method can be liberal (i.e. less than nominal coverage) if there is a true treatment effect. The nonparametric methods tend to be conservative with regard to coverage probability and among them the median-scaling method is least conservative and has shortest confidence intervals. The stratified ranks method was the most conservative and had very long confidence intervals. The bootstrap method was generally less conservative than the median-scaling method, but it tended to have longer confidence intervals. Overall, the median-scaling method had the best combination of coverage and confidence interval length. All methods performed adequately with respect to bias.