Considering Alternate Sources of Role Identity: Childless Parents and Their Animal “Kids”

Identity theory posits that role identity is negotiated between human social actors and is based in broader cultural expectations about how particular statuses should be performed. I argue that the formation of role identity in actors can also occur in relationship to nonhuman actors, if they are perceived as minded. Depending on context and human perception, identity can be formed as a result of interaction and developing “theory of mind” with nonhuman animals, directly implicating the animal. Using in‐depth interviews of childless and childfree companion animal owners, I demonstrate the existence of a parent identity in childless participants that would not otherwise be present were it not for interaction with the animal “child.” This identity is confirmed in participant narratives describing substantial behavioral output aligned with the U.S. cultural ideal of “parent.” Likewise, I find that significant others provide external support for the enactment of this role identity, allowing participants to verify self‐in‐situation. Overall, my analysis emphasizes the importance of considering nonhuman sources as occupying counterstatus positions in the formation of role identity while highlighting how these relationships affect interaction in the childfree and childless home, thus expanding scholarly understanding about both identity formation and emerging family types.     

Changing Relationships through Interactions: Preliminary Accounts of Parent–Child Interactions after Undertaking Individual Parent Training

Parent and child interaction training has been increasingly investigated over recent years. However, the mechanisms of change within individual training programmes are not well understood. To explore the factors that can facilitate or inhibit meaningful changes in interactions and ultimately relationships, the current study employed semi-structured interviews to obtain first person accounts from parents who had undertaken an individualised parent-training programme. Three participants provided accounts of the training programme and their perceived impact upon interactions with their children were analysed using inductive thematic analysis. The analysis resulted in three themes, which illustrate how participants adjusted their interactional style with their child to varying degrees through enhanced personal awareness, increased understanding of their child’s emotional and interactional needs, and accepting the reciprocity of interactional accountability. Changes in interactional style enabled participants to alter their perceptions of their own behaviours, their child’s behaviours, and how they influenced one another through interactions. Recommendations for future research and therapeutic practice are discussed in the context of the findings and the existing evidence base.     

Tackling and Mitigating Health Inequalities – Policymakers and Practitioners ‘Talk and Draw’ their Theories

In the context of a long‐standing academic acceptance of the socially structured nature of health inequalities, there has been a growing literature that critically examines policies that aim to reduce them. This has demonstrated inadequate policy assessment of the nature of the problem of health inequalities and correspondingly partial solutions that privilege interventions that focus on individual lifestyle solutions over more structural approaches. Much of the research that has been undertaken in this field to explore competing theories of inequalities has analyzed national policy documents or the views of senior policy advisers rather than practitioners. This study uses Raphael’s ‘seven discourses of the social determinants of health’ to understand the implicit theories of health inequalities of both practitioners and policymakers working within a single health care system as they talk about different policy typologies. To help penetrate potentially well‐rehearsed discourses about health inequalities, it tests a visual method of stimulating discussion about how different types of policy might operate to narrow/widen existing gaps in outcomes. Building on Raphael, it finds that individuals’ theories of health inequalities contain co‐existing although not synthesized material and behavioural explanations and that, although the social patterning of material disadvantage was recognized, the role of power and politics is underplayed. Variations between participants did not align with role (policy/practice) and using visual methods to represent the impact of different policy types on health inequalities, though challenging for participants, stimulated reflection about a subject matter that has otherwise become rather stagnant.     

Family Psychoeducation for Hepatitis C Patients and Their Families: Recommendation for Clinicians

PsychoEducation Responsive to Families for Persons coping with Hepatitis C (HCV-PERF) is a multifamily psychoeducation group model designed to help patients with hepatitis C virus infection (HCV) and their families navigate the illness and improve their readiness for treatment. The purpose of this article is to provide information and recommendations for clinicians interested in using the HCV-PERF model. The article provides details of the intervention model and presents thematic categories that evolved from analysis of interviews with clinicians with experience conducting and facilitating HCV-PERF groups. Based on these findings, recommendations were developed to inform and guide the use of HCV-PERF.     

Change and Continuity in the Governance of Nonprofit Organizations in the United Kingdom: The Impact of Organizational Size

This article reports on the results of a survey of charities in England and Wales, which examined how their boards are changing and whether various external initiatives to improve board performance are having an effect. In particular, the research explored the impact of organizational size. The findings suggest that the size of the organization does matter, as a variety of board characteristics and changes vary with size. The article concludes by examining some of the implications of these findings for theory and practice.     

Spatio-temporal modeling of particulate matter concentration through the SPDE approach

In this work, we consider a hierarchical spatio-temporal model for particulate matter (PM) concentration in the North-Italian region Piemonte. The model involves a Gaussian Field (GF), affected by a measurement error, and a state process characterized by a first order autoregressive dynamic model and spatially correlated innovations. This kind of model is well discussed and widely used in the air quality literature thanks to its flexibility in modelling the effect of relevant covariates (i.e. meteorological and geographical variables) as well as time and space dependence. However, Bayesian inference—through Markov chain Monte Carlo (MCMC) techniques—can be a challenge due to convergence problems and heavy computational loads. In particular, the computational issue refers to the infeasibility of linear algebra operations involving the big dense covariance matrices which occur when large spatio-temporal datasets are present. The main goal of this work is to present an effective estimating and spatial prediction strategy for the considered spatio-temporal model. This proposal consists in representing a GF with Matérn covariance function as a Gaussian Markov Random Field (GMRF) through the Stochastic Partial Differential Equations (SPDE) approach. The main advantage of moving from a GF to a GMRF stems from the good computational properties that the latter enjoys. In fact, GMRFs are defined by sparse matrices that allow for computationally effective numerical methods. Moreover, when dealing with Bayesian inference for GMRFs, it is possible to adopt the Integrated Nested Laplace Approximation (INLA) algorithm as an alternative to MCMC methods giving rise to additional computational advantages. The implementation of the SPDE approach through the R-library INLA (www.r-inla.org) is illustrated with reference to the Piemonte PM data. In particular, providing the step-by-step R-code, we show how it is easy to get prediction and probability of exceedance maps in a reasonable computing time.     

"I thought this course was going to be streamlined!": the limits of normal and the possibilities of transgression

This article offers an analysis of the parallels between neo-liberalism, epistemology, and pedagogy, specifically related to how neoliberal ideologies narrow the possibilities for considering transgressive sexualities. Lesbian, gay, bisexual, transgender, and queer (LGBTQ) education encourages educators to consider queer lives and communities, and can do so in ways that leave intact or challenge dominant norms. Neoliberalism, an economic expression of liberalism, rests on ideologies that support privatization and a diminished notion of the public good. These ideologies can become intertwined with epistemological expectations in the classroom. Related to queer theory and pedagogy, neoliberalism can profoundly narrow the possibilities for queer subjecthood. Epistemological neoliberalism, or structures of knowing that endorse an often falsely rendered normality, can be active in the classroom. This article explores two comments students offered in courses on gender and communication to explore the ways in which neoliberal ideologies bear on epistemological and pedagogical practices in ways that profoundly narrow conceptions of the social and constitutions of the subject, particularly related to transgressive sexualities and queer lives.     

Separability tests for high-dimensional,low-sample size multivariate repeated measures data

Longitudinal imaging studies have moved to the forefront of medical research due to their ability to characterize spatio-temporal features of biological structures across the lifespan. Valid inference in longitudinal imaging requires enough flexibility of the covariance model to allow reasonable fidelity to the true pattern. On the other hand, the existence of computable estimates demands a parsimonious parameterization of the covariance structure. Separable (Kronecker product) covariance models provide one such parameterization in which the spatial and temporal covariances are modeled separately. However, evaluating the validity of this parameterization in high dimensions remains a challenge. Here we provide a scientifically informed approach to assessing the adequacy of separable (Kronecker product) covariance models when the number of observations is large relative to the number of independent sampling units (sample size). We address both the general case, in which unstructured matrices are considered for each covariance model, and the structured case, which assumes a particular structure for each model. For the structured case, we focus on the situation where the within-subject correlation is believed to decrease exponentially in time and space as is common in longitudinal imaging studies. However, the provided framework equally applies to all covariance patterns used within the more general multivariate repeated measures context. Our approach provides useful guidance for high dimension, low-sample size data that preclude using standard likelihood-based tests. Longitudinal medical imaging data of caudate morphology in schizophrenia illustrate the approaches appeal.