Conditions for Exercising Residents’ Voting Rights in Long-Term Care Residences: A Prospective Multicenter Study

To assess voting conditions in long-term care settings, we conducted a multicenter survey after the 2009 European elections in France. A questionnaire about voting procedures and European elections was proposed in 146 out of 884 randomized facilities. Sixty-four percent of facilities answered the questionnaire. Four percent of residents voted (national turnout: 40%), by proxy (58%) or at polling places (42%). Abstention related to procedural issues was reported in 32% of facilities. Sixty-seven percent of establishments had voting procedures, and 53% declared that they assessed residents’ capacity to vote. Assistance was proposed to residents for voter registration, for proxy voting, and for voting at polling places, respectively, in 33%, 87%, and 80% of facilities. This survey suggests that residents may be disenfranchised and that more progress should be made to protect the voting rights of residents in long-term care facilities.     

Essential Conditions for Research with Children with Autism: Issues Raised by Two Case Studies

This article discusses conditions for research into the social experiences of children with autism in real‐life contexts using material from case studies of two boys with autism and their friends in mainstream school settings. It is argued that essential conditions for research with children with autism in ordinary social contexts should include a participatory approach, take a wide perspective of group processes, and account for multiple influences on social behaviour. Socially focused, participatory research design allows the social competencies that children with autism do have to be seen and produces multiple perspectives on children's social activity. Children and adults thinking together and sharing their ideas about the nature of experience for a child with autism and their friends allows for shared interpretations and reduces the very real possibility of one researcher alone making wrong assumptions about the nature of the investigation.     

Intra‐ and Inter‐generational Perspectives on Youth Participation in Sweden: A Study with Young People as Research Partners

In this study, intra‐ and inter‐generational perspectives on youth participation are combined and compared. Young people were invited to participate as research partners in an interactive research circle and conducted a survey about participation with other young people as respondents. The discussion concerns how an interactive methodology contributes to the understanding of the concept of participation. It is suggested that political definitions of participation be amended to include having a sense of being recognised in a communicative context, taking responsibility and share with other people one's experiences. This is based on the perspectives of young people.     

School Bullying as a Collective Action: Stigma Processes and Identity Struggling

The aim of this study was to investigate the collective action of bullying and its stigma processes and influences on identities. In accordance with interactionism, identity is a social process, constructed and reconstructed in everyday social interactions. Ethnographic fieldwork was conducted in four school classes, investigating six bullying cases. Grounded theory methods were used to explore and analyse data. Co‐constructing differentness was found to be a core process in bullying. Bullying often appeared to function like a self‐serving and socially inclusive ritual in which the bullies co‐constructed the ‘normal us’. Loss of belonging, self‐deprecation and identity struggling followed closely upon the sense of becoming socially discredited. Victims were trapped in the collective action. The findings highlight the significance of addressing peer cultures and the social psychology of everyday school life in anti‐bullying policies and practices.     

Adult Adoptees as Partners and Parents: The Joint Task of Revisiting the Adoption History

Adoption is unanimously considered a lifelong process, but adulthood and parenthood are life cycle stages that up to now have been explored only marginally. The principal aim of the present study is twofold: first, to analyze whether and how parenthood might lead the adoptee and his/her partner to reinterpret the adoption history and, second, to verify whether the attitudes of the two partners concerning adoption are similar or complementary. Thirty-four couples consisting of one adopted and one non-adopted partner, now parents, were interviewed and a graphic instrument, the Double Moon Test, was administered. Results revealed that most couples showed a shared attitude in valorizing both the origin background and the adoptive family. However, in a number of cases a divergent position emerged, highlighting the crucial role of the non-adopted partner in encouraging the adoptee to revisit his/her adoption history. Overall, the practical relevance of the research findings is discussed and future direction of research are suggested.     

The Heart of the Matter: Exploring Intergenerational Themes in Children’s Literature

Exploring intergenerational themes in children’s literature, this article shares the perspective of one grandfather and the reactions of educators in response to stories of young and old. Four themes found within intergenerational children’s literature are identified: (a) perceptions of grandparents’ interests and personalities, (b) passing down of knowledge, (c) shared moments/adventures, and (d) perceptions of aging. Intended as a reference point for educators as they select books depicting intergenerational themes, a question asked is, What is at the heart of the matter when it comes to children’s literature depicting themes of young and old?     

Measures of Association and Visualization of Log Odds Ratio Structure for a Two Way Contingency Table

The odds ratio (OR) is a measure of association used for analysing an I × J contingency table. The total number of ORs to check grows with I and J. Several statistical methods have been developed for summarising them. These methods begin from two different starting points, the I × J contingency table and the two‐way table composed by the ORs. In this paper we focus our attention on the relationship between these methods and point out that, for an exhaustive analysis of association through log ORs, it is necessary to consider all the outcomes of these methods. We also introduce some new methodological and graphical features. In order to illustrate previously used methodologies, we consider a data table of the cross‐classification of the colour of eyes and hair of 5387 children from Scotland. We point out how, through the log OR analysis, it is possible to extract useful information about the association between variables.     

Approximating moments of continuous functions of random variables using Bernstein polynomials

Bernstein polynomials have many interesting properties. In statistics, they were mainly used to estimate density functions and regression relationships. The main objective of this paper is to promote further use of Bernstein polynomials in statistics. This includes (1) providing a high-level approximation of the moments of a continuous function $g\left(X\right)$ of a random variable $X$, and (2) proving Jensen’s inequality concerning a convex function without requiring second differentiability of the function. The approximation in (1) is demonstrated to be quite superior to the delta method, which is used to approximate the variance of $g\left(X\right)$ with the added assumption of differentiability of the function. Two numerical examples are given to illustrate the application of the proposed methodology in (1).     

Minority Stress and Stress Proliferation Among Same‐Sex and Other Marginalized Couples

Drawing from 2 largely isolated approaches to the study of social stress—stress proliferation and minority stress—the authors theorize about stress and mental health among same‐sex couples. With this integrated stress framework, they hypothesized that couple‐level minority stressors may be experienced by individual partners and jointly by couples as a result of the stigmatized status of their same‐sex relationship—a novel concept. They also consider dyadic minority stress processes, which result from the relational experience of individual‐level minority stressors between partners. Because this framework includes stressors emanating from both status‐based (e.g., sexual minority) and role‐based (e.g., partner) stress domains, it facilitates the study of stress proliferation linking minority stress (e.g., discrimination), more commonly experienced relational stress (e.g., conflict), and mental health. This framework can be applied to the study of stress and health among other marginalized couples, such as interracial/ethnic, interfaith, and age‐discrepant couples.     

Bayesian Variable Selection Under Collinearity

In this article, we highlight some interesting facts about Bayesian variable selection methods for linear regression models in settings where the design matrix exhibits strong collinearity. We first demonstrate via real data analysis and simulation studies that summaries of the posterior distribution based on marginal and joint distributions may give conflicting results for assessing the importance of strongly correlated covariates. The natural question is which one should be used in practice. The simulation studies suggest that posterior inclusion probabilities and Bayes factors that evaluate the importance of correlated covariates jointly are more appropriate, and some priors may be more adversely affected in such a setting. To obtain a better understanding behind the phenomenon, we study some toy examples with Zellner’s g-prior. The results show that strong collinearity may lead to a multimodal posterior distribution over models, in which joint summaries are more appropriate than marginal summaries. Thus, we recommend a routine examination of the correlation matrix and calculation of the joint inclusion probabilities for correlated covariates, in addition to marginal inclusion probabilities, for assessing the importance of covariates in Bayesian variable selection.