Development and Spanish translation of the Weinberg Center Risk and Abuse Prevention Screen (WC-RAPS)

Barriers for enhanced detection, identification, and reporting of elder abuse include the paucity of appropriate, valid, easily administered screening tools. This article describes the qualitative methods used in the development of the Weinberg Center Risk and Abuse Prevention Screen (WC-RAPS), and of its Spanish version. Focus groups and cognitive interviews were instrumental in identifying problematic items, underscoring potential response errors, and informing about putative causes for divergent interpretations of item-intent. Seven of the 11 original items were modified, a double-barreled item was segregated into two, one item deleted, and three additional items included to create the final 13 WC-RAPS items. The multi-step approach implemented for the Spanish conversion evidenced deviation from the original intended meaning for one item. The readability for English and Spanish versions was also assessed. Screening for elder abuse, if implemented systematically can be instrumental in identifying unrecognized abuse and preventing reoccurrence.     

Coming out in camouflage: A queer theory perspective on the strength,resilience, and resistance of lesbian,gay, bisexual,and transgender service members and veterans

ABSTRACT

Lesbian, gay, bisexual, and transgender (LGBT) service members have made profound contributions to the U.S. military despite serving under anti-LGBT military policies. Little is known about their everyday acts of strength and resistance, which is vital information for developing strengths-based services. This article utilizes a queer theory framework to (a) discuss LGBT military contributions and anti-LGBT military policies, (b) explore three LGBT-specific military minority stressors, and (c) identify four strategies of strength and resistance used to manage an anti-LGBT military environment. Clinical suggestions are proposed for integrating military and LGBT identities and designing interventions that blend military and LGBT cultures.     

Inner‐City Children's Exposure to Community Violence: How Much Do Parents Know?

This study examines the psychological impact of children's exposure to violence and the influence of mothers' knowledge about their children's encounters with violence. Our sample consists of a poor, multiethnic sample of 104 fourth‐ or fifth‐grade children and their mothers. Children in this sample were exposed to rather high levels of community violence, and on the whole, mothers greatly underestimated their children's exposure to violence and feelings of psychological distress. Hierarchical regression analyses indicated that children's exposure to violence was associated with greater psychological distress. Our findings suggest that the detrimental effects of community violence are present for all children, irrespective of their racial background. Further, greater mother‐child agreement about children's exposure to violence was related to better psychological functioning. The implications of these results for effective parenting strategies and community‐based interventions are discussed.     

Estimation and use of the inverse hyperbolic sine transformation to model non-normal correlated random variables

During the past .20 years, there has been growing recognition of the consequences of the randomness of crop yields and prices for farm management and agricultural policy decisions. Concomitantly, researchers have recognized the possibility and implications of the non-normality of yields and prices. This study demonstrates a method for estimating multivariate non-normality in crop yields and prices over time, using the inverse hyperbolic sine transformation of corn, soya bean and wheat yields. The resulting estimates are used to simulate a multivariate distribution of crop yields.     

An adjusted likelihood-ratio algorithm for the Behrens-Fisher problem

We present an algorithm which will incorporate an adjusted likelihood and a scaled likelihood procedure for the Behrens-Fisher problem. Nonuniqueness of the maximum likelihood estimates for the common mean are demonstrated on a simple example showing how ill-conditioned the maximum likelihood equations can be. Our results, however, show that the significance levels are stable even when the means are sensitive to perturbations.     

Costs of Extending the Noncontributory Pension Program for Elderly: The Mexican Case

Population aging coupled with high poverty rates among older persons and a lack of access to social-security benefits or traditional support systems have led governments in low and middle-income countries to introduce non-contributory pension programs for the elderly. This article reviews a non-contributory pension program introduced in Mexico in 2007 that has since expanded greatly. We use a variety of sources to estimate current and future costs of this program.     

Surrogate models in ill-conditioned systems

Ridge versions of an ill-conditioned system are alleged to “act more like an orthogonal system” than the system itself. Alternatives, called surrogates and based on the conditioning of linear systems, are shown to yield smaller expected mean squares than OLS, and uniformly smaller residual sums of squares than ridge. Ridge and surrogate solutions are compared on several marques of orthogonality to include conditioning of dispersion arrays, variance inflation factors, isotropy of variances, and sphericity of contours of the estimators. For these, ridge typically exhibits erratic divergence from orthogonality as the ridge scalar evolves, often reverting back to OLS in the limit. In contrast, surrogate solutions converge monotonically to those from orthogonal systems. Invariance considerations constrain the computations to models in canonical form. Case studies serve to illustrate the central issues.     

Incorporation of Migrant Students Returning From the United States to High Schools in Mexico

The purpose of this research was to identify the difficulties faced by the Mexican migrant students when incorporated into the Mexican education system after having studied in the United States of America. Thirty migrant middle school students, two principals, two social workers and one teacher participated in the study. The study (conducted in two phases) collected information regarding: school admission, adjustment to the school organization, adaptation to learning situations and the perception of school belonging. The main problems found during the admission and enrolment procedures in Mexican schools are: language use, diagnostic assessment, didactic processes that take place in the classroom, complementary support activities, grade repetition, very little family involvement and the separation of the students from their migrant parents.     

Stochastic Measures of Network Resilience: Applications to Waterway Commodity Flows

Given the ubiquitous nature of infrastructure networks in today's society, there is a global need to understand, quantify, and plan for the resilience of these networks to disruptions. This work defines network resilience along dimensions of reliability, vulnerability, survivability, and recoverability, and quantifies network resilience as a function of component and network performance. The treatment of vulnerability and recoverability as random variables leads to stochastic measures of resilience, including time to total system restoration, time to full system service resilience, and time to a specific α% resilience. Ultimately, a means to optimize network resilience strategies is discussed, primarily through an adaption of the Copeland Score for nonparametric stochastic ranking. The measures of resilience and optimization techniques are applied to inland waterway networks, an important mode in the larger multimodal transportation network upon which we rely for the flow of commodities. We provide a case study analyzing and planning for the resilience of commodity flows along the Mississippi River Navigation System to illustrate the usefulness of the proposed metrics.