Crossover of resources and well-being within employee-partner dyads: through increased schedule control

ABSTRACT

This study examined whether one partner’s additional resources obtained from a workplace intervention influence the other partner’s perception of having those resources at home (crossover of resources). We also examined whether one partner’s decreased stress by increased work resources crosses over to the other partner’s stress levels (crossover of well-being). Longitudinal data came from IT employees and their married/cohabiting partners in midlife (N?=?327). A randomized workplace intervention significantly increased employee-reported schedule control at the 6-month follow-up, which, in turn, increased partner-reported employees’ work schedule flexibility to handle family responsibilities at the 12-month follow-up. The intervention also decreased partners’ perceived stress at the 12-month follow-up through the processes by which increases in schedule control predicted decreases in employees’ perceived stress, which further predicted decreased levels of partners’ perceived stress. Notably, crossover of resources and well-being were found in couples who lived with children in the household, but not in couples without children. Our findings suggest that benefits of workplace support can permeate into the family domain, by increasing partner-perceived family resources and well-being.     

Assessing the Effectiveness of Social Indices to Measure the Prevalence of Social Isolation in Neighbourhoods: A Qualitative Sense Check of an Index in a Northern English City

Tackling the many negative health effects of social isolation has been identified as a policy priority in the UK and consequently many local authorities are developing strategies to ascertain its prevalence through the development of social indices. This paper provides a novel assessment of the emerging approach of developing indices to identify social isolation. It provides an overview of a selection of indices being developed by local authorities across England; considers the validity of such quantitative indices; and explores the extent to which more in-depth qualitative data collected at a neighbourhood level is additionally required. It draws on evidence of a social isolation index for older people created by a northern English local authority, assessing its validity through a qualitative sense check; an innovative approach which has not been attempted elsewhere. The paper contributes important knowledge to the growing literature in this field by further developing understanding around the most effective ways of identifying, measuring, and understanding social isolation at a local level. Our findings indicate that an index, alone, is insufficient to fully capture the multifaceted nature of social isolation as relevant indicators, unique to local spaces, which cannot easily be measured quantitatively, are often excluded. The paper offers a significant and original contribution to the debate for both academics who wish to gain a greater understanding of the role indices can play in identifying those most at risk of social isolation, as well as for policy makers and practitioners who are currently grappling with this challenging concept.     

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.     

Variables affecting teachers’ intentions to include students with disabilities in regular primary schools in Bangladesh

This paper presents an overview of a study conducted to examine the influence of teacher attitudes, teacher efficacy and perceived school support on teachers’ intentions to include students with disabilities in government primary schools in a region of Bangladesh. All of the variables were conceptualized within the Theory of Planned Behaviour. The participants in the study were 1387 in-service teachers drawn from government primary schools located in urban, semi-urban and rural sectors of Dhaka. Hierarchical regression analysis revealed that all three Theory of Planned Behaviour variables (teacher attitudes, teacher efficacy and perceived school support) explained 40% of the variance in teachers’ intentions to include students with a disability in regular classrooms. This paper describes the process for conceptualizing the variables, discusses the methodology and presents the outcomes concluding with implications for educational policy reform and practices in Bangladesh. Areas for further research are also identified.     

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.