Elder abuse in nursing homes: an ecological perspective

Population trends suggest that the next 20 years will witness a dramatic increase in the adult population aged 65 and older. Projected increases in the elderly population are expected to significantly increase the stress on family and professional caretakers. Stress, in the context of caregiving relationships, is a risk factor associated with increased prevalence of elder abuse in familial and institutional settings. As increasing numbers of older adults are moved from family caregiving to nursing home care settings, it becomes important to identify the pattern of elder abuse risk factors in nursing home facilities. An ecological model is proposed for better understanding the risk factors associated with elder abuse in nursing homes and the complex interaction of individual/person characteristics and contextual factors in institutional elder abuse. An ecological perspective to institutional elder abuse provides a framework for guiding and informing future research on the risk factors of nursing home abuse and, in turn, for the development of effective interventions and relevant social policies.     

Investigation of mixed model repeated measures analyses and non‐linear random coefficient models in the context of long‐term efficacy data

The longitudinal data from 2 published clinical trials in adult subjects with upper limb spasticity (a randomized placebo‐controlled study [NCT01313299] and its long‐term open‐label extension [NCT01313312]) were combined. Their study designs involved repeat intramuscular injections of abobotulinumtoxinA (Dysport®), and efficacy endpoints were collected accordingly. With the objective of characterizing the pattern of response across cycles, Mixed Model Repeated Measures analyses and Non‐Linear Random Coefficient (NLRC) analyses were performed and their results compared. The Mixed Model Repeated Measures analyses, commonly used in the context of repeated measures with missing dependent data, did not involve any parametric shape for the curve of changes over time. Based on clinical expectations, the NLRC included a negative exponential function of the number of treatment cycles, with its asymptote and rate included as random coefficients in the model. Our analysis focused on 2 specific efficacy parameters reflecting complementary aspects of efficacy in the study population. A simulation study based on a similar study design was also performed to further assess the performance of each method under different patterns of response over time. This highlighted a gain of precision with the NLRC model, and most importantly the need for its assumptions to be verified to avoid potentially biased estimates. These analyses describe a typical situation and the conditions under which non‐linear mixed modeling can provide additional insights on the behavior of efficacy parameters over time. Indeed, the resulting estimates from the negative exponential NLRC can help determine the expected maximal effect and the treatment duration required to reach it.     

Campus Sex in Context: Organizational Cultures and Women's Engagement in Sexual Relationships on Two American College Campuses

An “inhabited” approach to the study of institutions examines how organizational actors produce locally distinctive meaning in response to similar institutional forces. Adopting inhabited institutionalism to the study of campus sexual life, this study draws on interviews with 54 undergraduate women at two four‐year universities in the United States—Ivy U and State U—to show campus cultures unique to a university inform women's decisions to engage in hookups and/or relationships. For women attending Ivy U, an elite institution where pressure to succeed is palpable, both hookups and long‐distance relationships alike are posited as advantageous for the time‐crunched, preprofessional student. At State U, a public school with a party reputation, women explain their engagement in hookups as part of the “fun” of college life, while women seeking or involved in committed relationships are obligated to negotiate the effects of the party culture in their partnerships. This study challenges the notion of a monolithic sexual culture across university settings by showing how campus cultures cultivated at the local level create unique organizational conditions within which undergraduate women forge and explain their engagement in hookups and relationships alike.     

Theory,practice, and perspectives: Disability Studies and parenting children with disabilities

Abstract

In this process-oriented article, the authors weave short personal narratives with theoretical reflections to examine the relationship between Disability Studies scholarship and parenting children with disabilities. The authors present three findings: first, their position as parent-teacher-scholars informs their work in Disability Studies. Second, the work of Disability Studies scholars has the potential to positively influence parents’ understandings of disability; consequently, Disability Studies-informed parenting can influence parent advocacy for their children. Third, parent-scholars have the potential to create research that can positively impact parents, practitioners, and the field of Disability Studies. The authors conclude by arguing that there is a need for Disability Studies scholarship for and by parents. This work is significant because it challenges divisions between theory and practice, and articulates a need and responsibility for parents to grapple with alternative understandings of disability and alternative (collective) ways to create better social conditions for their children.     

A comparison of bootstrap approaches for estimating uncertainty of parameters in linear mixed‐effects models

A version of the nonparametric bootstrap, which resamples the entire subjects from original data, called the case bootstrap, has been increasingly used for estimating uncertainty of parameters in mixed‐effects models. It is usually applied to obtain more robust estimates of the parameters and more realistic confidence intervals (CIs). Alternative bootstrap methods, such as residual bootstrap and parametric bootstrap that resample both random effects and residuals, have been proposed to better take into account the hierarchical structure of multi‐level and longitudinal data. However, few studies have been performed to compare these different approaches. In this study, we used simulation to evaluate bootstrap methods proposed for linear mixed‐effect models. We also compared the results obtained by maximum likelihood (ML) and restricted maximum likelihood (REML). Our simulation studies evidenced the good performance of the case bootstrap as well as the bootstraps of both random effects and residuals. On the other hand, the bootstrap methods that resample only the residuals and the bootstraps combining case and residuals performed poorly. REML and ML provided similar bootstrap estimates of uncertainty, but there was slightly more bias and poorer coverage rate for variance parameters with ML in the sparse design. We applied the proposed methods to a real dataset from a study investigating the natural evolution of Parkinson's disease and were able to confirm that the methods provide plausible estimates of uncertainty. Given that most real‐life datasets tend to exhibit heterogeneity in sampling schedules, the residual bootstraps would be expected to perform better than the case bootstrap. Copyright © 2013 John Wiley & Sons, Ltd.     

Some new aspects of taxicab correspondence analysis

Correspondence analysis (CA) and nonsymmetric correspondence analysis are based on generalized singular value decomposition, and, in general, they are not equivalent. Taxicab correspondence analysis (TCA) is a \(\hbox {L}_{1}\) variant of CA, and it is based on the generalized taxicab singular value decomposition (GTSVD). Our aim is to study the taxicab variant of nonsymmetric correspondence analysis. We find that for diagonal metric matrices GTSVDs of a given data set are equivalent; from which we deduce the equivalence of TCA and taxicab nonsymmetric correspondence analysis. We also attempt to show that TCA stays as close as possible to the original correspondence matrix without calculating a dissimilarity (or similarity) measure between rows or columns. Further, we discuss some new geometric and distance aspects of TCA.     

Statistical Discrimination Analysis Using the Maximum Function

The maximum of k functions defined on R ⁿ , n ≥ 1, by f _max (x) = max{f ₁ (x),…, f _k (x)}, ? x ? R ⁿ , can have important roles in Statistics, particularly in Classification. Through its relation with the Bayes error, which is the reference error in classification, it can serve to compute numerical bounds for errors in other classification schemes. It can also serve to define the joint L¹-distance between more than two densities, which, in turn, will serve as a useful tool in Classification and Cluster Analyses. It has a vast potential application in digital image processing too. Finally, its versatile role can be seen in several numerical examples, related to the analysis of Fisher's classical iris data in multidimensional spaces.     

Beyond hookup culture: Current trends in the study of college student sex and where to next

A prominent body of sexuality research on college‐enrolled students in the twenty‐first century focuses on “hookup” culture, marked by the prevalence of sexual encounters between students with no expectation for a relationship to develop. This article will review and respond to current themes in the literature on hookup culture on college campuses. I argue that this literature privileges the White, middle‐class heterosexual experience, although less is known about how students who cannot or choose not to participate in this culture experience sexual relationships on college campuses. I place studies of hookup culture in conversation with those attentive to the effects of race, class, gender, and sexuality on access to, and experience of, hookup culture. I conclude with suggestions for future research, to include a renewed interest in sexual relationships forged outside of hookup cultures.     

Exploring a model of servant leadership,empowerment, and commitment in nonprofit organizations

This study examined a model of servant leadership's relationship to organizational commitment through structural and psychological empowerment, focusing on leader–follower dyads in a nonprofit organization. Survey data was collected from 128 employees of a nonprofit organization in a northeastern U.S. city. After model re‐specification, a well‐fitting model emerged, indicating that structural empowerment mediates the relationship between servant leadership and organizational commitment. Moreover, the model suggests that structural empowerment's effect on organizational commitment is both direct and indirect—the latter occurring through the meaning dimension of psychological empowerment. This study provides initial support for structural empowerment being a mechanism through which servant leadership impacts organizational commitment in nonprofits. In addition, the role of meaningful work is highlighted as an antecedent to organizational commitment for nonprofit employees. Servant leaders are suggested to create structurally empowering working environments, which support employees' stronger commitment to the organization.     

Correction to: Does Horizontal Inequality Matter in Vietnam?

Social Indicators Research - The article Does Horizontal Inequality Matter in Vietnam?, written Thi Thu Hoai Dang, was originally published electronically on the publisher’s internet portal...