Volunteers Managing Volunteers: The Role of Volunteer Board Members’ Motivating and Demotivating Style in Relation to Volunteers’ Motives to Stay Volunteer

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations - Against the background of declining volunteering rates in nonprofit and voluntary organizations, this study examined the...     

'Orange in a World of Apples': the voices of albinism

Albinism is a rare genetic condition that affects the pigmentation of the retina, hair and skin. Consequently, people with albinism world-wide experience the stigma and negative repercussions of an unconventional physical appearance, as well as a visual impairment. The medical literature has focused extensively on the genetics of albinism amongst animals, but it has been relatively under-studied and ignored in sociology. People with albinism have rarely had the opportunity to tell their stories; to tell their sorrows and their triumphs. This paper attempts to remedy this failure in social science.

In-depth interviews were conducted with seven women and five men, living in various countries globally. The study is framed around Erving Goffman's theory of stigma and 'spoiled identity', as well as the more recent Disability Studies that stresses 'the normals' as being the 'identity spoilers' or the 'problem'. The participants revealed victimisation from various sources including students, teachers, employers, colleagues, strangers and the medical profession. Focus is placed on the strategies that respondents have devised in coping with these adversities. The results identify eight principal methods of reaction and response to the discrimination against people with albinism.

These eight different strategies of resistance to the stigmatisation of albinism are essential elements of personal change and even, possibly, social change. This paper quotes respondents' own words. Such methodology offers the chance for people with albinism to voice their experiences, and for us researchers to listen and learn.     

Bridging between academia and the workplace: lessons learned about translational research on work-family balance

ABSTRACT

Balancing work and family is a continuous and growing challenge, requiring carefully chosen coping strategies. In spite of the growing amount of research on work-family balance, successful, long term solutions are still not readily available to most workers who are trying to cope with the tensions involved in fulfilling both work and family roles. One possible explanation for this lack of translation of research findings in applied settings may lie in how we do work-family research. The present research note presents translational research as a solution to bridge academia and the workplace. More specifically, it shares our experience of a participatory approach to translational research that was adopted in an interdisciplinary research project on work-family balancing strategies. The main objective of this research note is to provide an example of how translational research was carried out in this kind of community-initiated study, and how this approach can facilitate short-term, concrete applications of the knowledge gained from and with the research partners.     

Gaze Cueing Effect in a Face-to-Face Situation

People are faster to detect a target looked at, rather than ignored or not cued, by another person. This gaze cueing effect (GCE) reflects joint attention processes which play a crucial role in social interactions. To date, GCE has only been measured with on-screen experiments. This only approximates the real situation of joint attention which involves a triadic interaction between oneself, another person, and an external object. Here, we present an innovative experimental setup to investigate GCE in a face-to-face situation. We show a robust GCE, which is of the same size range as in on-screen experiments. This study fosters an ecological approach of joint attention.     

Permutation Methods for Comparing the Accuracy of Nested Prediction Models in Survival Analysis

When making patient-specific prediction, it is important to compare prediction models to evaluate the gain in prediction accuracy for including additional covariates. We propose two statistical testing methods, the complete data permutation (CDP) and the permutation cross-validation (PCV) for comparing prediction models. We simulate clinical trial settings extensively and show that both methods are robust and achieve almost correct test sizes; the methods have comparable power in moderate to large sample situations, while the CDP is more efficient in computation. The methods are also applied to ovarian cancer clinical trial data.     

Model-based adaptive spatial sampling for occurrence map construction

In many environmental management problems, the construction of occurrence maps of species of interest is a prerequisite to their effective management. However, the construction of occurrence maps is a challenging problem because observations are often costly to obtain (thus incomplete) and noisy (thus imperfect). It is therefore critical to develop tools for designing efficient spatial sampling strategies and for addressing data uncertainty. Adaptive sampling strategies are known to be more efficient than non-adaptive strategies. Here, we develop a model-based adaptive spatial sampling method for the construction of occurrence maps. We apply the method to estimate the occurrence of one of the world’s worst invasive species, the red imported fire ant, in and around the city of Brisbane, Australia. Our contribution is threefold: (i) a model of uncertainty about invasion maps using the classical image analysis probabilistic framework of Hidden Markov Random Fields (HMRF), (ii) an original exact method for optimal spatial sampling with HMRF and approximate solution algorithms for this problem, both in the static and adaptive sampling cases, (iii) an empirical evaluation of these methods on simulated problems inspired by the fire ants case study. Our analysis demonstrates that the adaptive strategy can lead to substantial improvement in occurrence mapping.     

Comparison of estimators in nested case–control studies with multiple outcomes

Reuse of controls in a nested case-control (NCC) study has not been considered feasible since the controls are matched to their respective cases. However, in the last decade or so, methods have been developed that break the matching and allow for analyses where the controls are no longer tied to their cases. These methods can be divided into two groups; weighted partial likelihood (WPL) methods and full maximum likelihood methods. The weights in the WPL can be estimated in different ways and four estimation procedures are discussed. In addition, we address modifications needed to accommodate left truncation. A full likelihood approach is also presented and we suggest an aggregation technique to decrease the computation time. Furthermore, we generalize calibration for case-cohort designs to NCC studies. We consider a competing risks situation and compare WPL, full likelihood and calibration through simulations and analyses on a real data example.     

A reexamination of stein's antifiducial example

In Stein's 1959 example, for any sample with n sufficiently large, there is a confidence set embedded simultaneously within two regular confidence belts—one with coverage frequency smaller than an arbitrary positive ϵ, the other with coverage frequency larger than 1 — ϵ. Thus, Stein's example may be seen as an extreme case of mutually conflicting confidence statements, illustrating a possibility anticipated and denounced by Fisher.     

Unwanted sexual contact on campus: a comparison of women's and men's experiences

While sexual victimization continues to be a problem on college campuses, recent attention has been drawn to understanding gender differences in victimization rates and consequences. To date, these studies remain relatively few in number. The current study surveyed 651 male and female undergraduate students about unwanted sexual experiences during 1 academic year. Comparison of men and women revealed expected differences in incidence rates, with women reporting higher rates of unwanted contact. Within the subsample of reported victims, however, there was gender similarity in terms of the context of unwanted sexual experiences. Analyses also revealed the negative consequences of these experiences for both men and women and low rates of disclosure regardless of gender. Across the full sample of students surveyed, there were interesting gender differences in knowledge of campus support services, with women more likely to have attended a prevention program and to have indicated greater knowledge of rape crisis services.