Level of choice in older women’s decisions to retire or continue working and associated well-being

Retirement is a complex life transition. Women’s retirement, like their work lives, may be further complicated, for example, by family or financial obligations; they may feel forced to retire or to continue working or feel they have the choice to do so. This study examines the role of voluntary versus involuntary retirement or continued work participation among retirement-age women; specifically, the relationships between choice, work status, and well-being. Compared to women forced to retire, women who chose retirement or continuing to work had higher levels of life satisfaction. Findings highlight the importance of examining retirement within the life course context.     

High value manufacturing (HVM) in the UK: case studies and focus group insights

This paper studies the internal mechanisms that allow organisations to become high value manufacturing (HVM). Using a qualitative methodology, three UK manufacturing companies formed in-depth case studies with semi-structured interviews, observations and historical data. The HVM value matrix of Martinez and co-workers is used to categorise each organisation’s value proposition. Wider benchmarking of the three organisations was carried out against a focus group with an additional seven manufacturing organisations. Thus, data from 10 manufacturing organisations are included in this research. The cases follow the ‘customer intimacy’ HVM discipline. The business processes supporting these value propositions were identified. Interestingly, each organisation’s desired value proposition differs from their current one. ‘Technological integrators’ predominantly rely on new product development (NPD) and Strategy processes, whereas ‘Socialisors’ rely predominantly on Strategy and Customer Relationship processes. Companies can use the findings to better understand their current HVM value proposition and, where necessary, plan their transition to a future desired HVM value proposition.     

Using Bayesian graphical models to model biases in observational studies and to combine multiple sources of data: application to low birth weight and water disinfection by-products

Summary.  Data in the social, behavioural and health sciences frequently come from observational studies instead of controlled experiments. In addition to random errors, observational data typically contain additional sources of uncertainty such as missing values, unmeasured confounders and selection biases. Also, the research question is often different from that which a particular source of data was designed to answer, and so not all relevant variables are measured. As a result, multiple sources of data are often necessary to identify the biases and to inform about different aspects of the research question. Bayesian graphical models provide a coherent way to connect a series of local submodels, based on different data sets, into a global unified analysis. We present a unified modelling framework that will account for multiple biases simultaneously and give more accurate parameter estimates than standard approaches. We illustrate our approach by analysing data from a study of water disinfection by-products and adverse birth outcomes in the UK.     

Going solo: Findings from a survey of women aging without a partner and who do not have children

Greater longevity in the UK population has led to the increasing diversity of women experiencing aging in a multitude of ways. Internationally, gender inequalities in aging are still relatively invisible within both government policy and everyday life for particular groups of women. This article explores the concept of women growing older “solo”—by which we mean women who find themselves nonpartnered and aging without children as they move into later life. We report on the findings from a mixed-methods survey of 76 solo women in the UK aged 50 years and over, used to provide a broader overview of the issues and challenges they face as they move into later life. Qualitative data from the survey captured respondents’ perspectives about the links between their relationships status and well-being in later life and highlighted specific cumulative disadvantages emerging for some women as a result of their solo lifestyles. We discuss two key themes that were identified, “solo-loneliness” and “meaningful futures,” in conjunction with the relevant literature and make suggestions for future research within gender and aging studies that could enhance more positive approaches to solo lifestyles.     

Exploring Social Class: Voices of Inter‐Class Couples

Social class is not often discussed or examined in‐depth in couple and family therapy research and literature even though social class shapes familial relationships and is considered an important variable in marital satisfaction. In this qualitative study, we explored the perceptions of eight couples who made lasting commitments across class lines by asking them about the impact of their social class backgrounds on their relationships. Three categories of themes emerged including: (a) differences and similarities in values and attitudes toward education, work, money, and class awareness/classism, (b) relationship issues involving families of origin, friends, and class‐based couple conflict, and (c) differences in economic resources, social capital and privileges/opportunities. Implications for assessment and treatment of couples are included.