An effective programme is not enough: a review of factors associated with poor attendance and engagement with parenting support programmes

The provision of parenting support is a key feature of wealthier nations’ health and social care services. However, attendance and engagement by the neediest parents remains poor. Barriers experienced by parents include personal life factors (beliefs, lifestyles and limited resources) and programme‐specific factors (delivery, content and support arrangements). Here we give consideration to these issues, drawing on published reviews of parenting programme effectiveness identified through a comprehensive search of electronic databases. We suggest ways of improving attendance and engagement, by providing programmes as part of a comprehensive framework of family support.     

Indigenous Wellbeing Frameworks in Australia and the Quest for Quantification

There is an emerging global recognition of the inadequacies of conventional socio-economic and demographic data in being able to reflect the relative wellbeing of Indigenous peoples. This paper emerges out of a recent desktop study commissioned by an Australian Indigenous organization who identified a need to enhance local literacies in data collection and interpretation in order to monitor the wellbeing of the Indigenous people within their region, manage governments in respect of their civic responsibilities to this population, and proactively and imaginatively plan for the future of the Indigenous people in their region. In canvassing available data and the growing Indigenous wellbeing literature, it became apparent that conventional statistical collections used to report on the status of populations are governed by a series of assumptions regarding three related concepts: wellbeing; demography; and economic productivity and prosperity. These assumptions have direct implications for how Indigenous peoples are represented to governments and broader society. The paper draws together the existing threads of literature regarding Indigenous wellbeing research to posit a possible broader framework for organising various kinds of Indigenous wellbeing analyses. In doing so, it identifies important shortcomings and deficits in the kinds of data that are available to Indigenous peoples in presenting themselves and their aspirations to governments with. It also opens up a critical analysis of the opportunities and obstacles for Indigenous communities in undertaking such research.     

Characterizing the Performance of the Conway‐Maxwell Poisson Generalized Linear Model

Count data are pervasive in many areas of risk analysis; deaths, adverse health outcomes, infrastructure system failures, and traffic accidents are all recorded as count events, for example. Risk analysts often wish to estimate the probability distribution for the number of discrete events as part of doing a risk assessment. Traditional count data regression models of the type often used in risk assessment for this problem suffer from limitations due to the assumed variance structure. A more flexible model based on the Conway‐Maxwell Poisson (COM‐Poisson) distribution was recently proposed, a model that has the potential to overcome the limitations of the traditional model. However, the statistical performance of this new model has not yet been fully characterized. This article assesses the performance of a maximum likelihood estimation method for fitting the COM‐Poisson generalized linear model (GLM). The objectives of this article are to (1) characterize the parameter estimation accuracy of the MLE implementation of the COM‐Poisson GLM, and (2) estimate the prediction accuracy of the COM‐Poisson GLM using simulated data sets. The results of the study indicate that the COM‐Poisson GLM is flexible enough to model under‐, equi‐, and overdispersed data sets with different sample mean values. The results also show that the COM‐Poisson GLM yields accurate parameter estimates. The COM‐Poisson GLM provides a promising and flexible approach for performing count data regression.     

Types of LGBT Microaggressions in Counselor Education Programs

Although previous research has identified common types of lesbian, gay, bisexual, transgender (LGBT) microaggressions, there is a lack of research that describes the specific experiences of LGBT students in counselor education programs. This study examined the microaggression experiences of 12 LGBT students in such programs. Data analysis revealed several thematic microaggression types. Implications for counselor educators are discussed.     

Where’s dad? Exploring the low take-up of inclusive parenting policies in the UK

This research explores approaches to promoting gender equality in the workplace by highlighting barriers to take-up of statutory policies designed to increase fathers’ involvement in childcare. Specifically, the paper examines why take-up of Shared Parental Leave (SPL), designed to improve gender equality in the workplace and home, has been low in the UK. There is a dearth of academic literature in this area. Extant grey literature suggests financial barriers, maternal gatekeeping and the perceived effects of extended leave on fathers’ careers are key, but fails to explore other barriers, or the variations in take-up. We interviewed 70 men and women entitled to SPL to address these limitations. We identify new barriers, notably poor policy communication at an organizational level, perceived policy complexity and societal expectations around maternal identities, while also showing how these barriers affect different groups of parents. We find professional couples are most likely to take SPL, particularly where the mother earns more or the father’s company enhances Shared Parental Pay. The complex, multiple barriers parents face also differ, according to the couple’s educational background and the workplace culture. Finally, we offer recommendations for increasing SPL take-up and driving workplace gender equality in the UK and internationally.     

Observed Emotions as Predictors of Quality of Kindergartners’ Social Relationships

This study evaluated whether positive and anger emotional frequency (the proportion of instances an emotion was observed) and intensity (the strength of an emotion when it was observed) uniquely predicted social relationships among kindergarteners (N = 301). Emotions were observed as naturally occurring at school in the fall term and multiple reporters (peers and teachers) provided information on quality of relationships with children in the spring term. In structural equation models, positive emotion frequency, but not positive emotion intensity, was positively related to peer acceptance and negatively related to peer rejection. In contrast, the frequency of anger provided unique positive prediction of teacher–student conflict and negative prediction of peer acceptance. Furthermore, anger intensity negatively predicted teacher–student closeness and positively predicted teacher–student conflict. Implications for promoting social relationships in school are discussed.     

Modeling Rabbit Responses to Single and Multiple Aerosol Exposures of Bacillus anthracis Spores

Survival models are developed to predict response and time‐to‐response for mortality in rabbits following exposures to single or multiple aerosol doses of Bacillus anthracis spores. Hazard function models were developed for a multiple‐dose data set to predict the probability of death through specifying functions of dose response and the time between exposure and the time‐to‐death (TTD). Among the models developed, the best‐fitting survival model (baseline model) is an exponential dose–response model with a Weibull TTD distribution. Alternative models assessed use different underlying dose–response functions and use the assumption that, in a multiple‐dose scenario, earlier doses affect the hazard functions of each subsequent dose. In addition, published mechanistic models are analyzed and compared with models developed in this article. None of the alternative models that were assessed provided a statistically significant improvement in fit over the baseline model. The general approach utilizes simple empirical data analysis to develop parsimonious models with limited reliance on mechanistic assumptions. The baseline model predicts TTDs consistent with reported results from three independent high‐dose rabbit data sets. More accurate survival models depend upon future development of dose–response data sets specifically designed to assess potential multiple‐dose effects on response and time‐to‐response. The process used in this article to develop the best‐fitting survival model for exposure of rabbits to multiple aerosol doses of B. anthracis spores should have broad applicability to other host–pathogen systems and dosing schedules because the empirical modeling approach is based upon pathogen‐specific empirically‐derived parameters.     

Climate Change Communication: Examining the Social and Cognitive Barriers to Productive Environmental Communication

Objectives. This study explores the efficacy of visual appeals that may be used to communicate environmental risk.Methods. To better understand the social and cognitive barriers present in environmental risk communication associated with climate change, we conducted a series of six focus groups. Groups were asked to view images of environmental issues and select the best representation of their feelings out of a range of preselected emotions. While further research is required, preliminary investigation based on the focus groups suggests several themes. Results. First, an individual's familiarity with both an area and an event will decrease the individual's perception of urgency; conversely, the participants expressed greater concern for events that were local and new—in other words, familiarity diminishes urgency, while emergent problems create alacrity. Second, participants expressed a sentiment of tacit blame, in which the participant's own contribution to the issue received less emphasis when ascribing fault. Last, the participants reacted positively toward messages that emphasized a hopeful and solution-based narrative and were seemingly less motivated by images that relied on fear-based messaging. Conclusions. Preliminary findings suggest that hopeful, solution-based messaging may be more effective in facilitating pro-environmental behavior than either fear- or guilt-based appeals.