‘Making narrative portraits: a methodological approach to analysing qualitative data’

ABSTRACT

This paper proposes the method of ‘narrative portraiture’, which, located within the wider field of narrative studies, offers an analytical tool to narrative data. Two research projects, one on disability and one on identity, are used to illustrate how the method can be applied. While the paper will focus on the methodological benefits and limitations of the approach, throughout the article we also highlight the ethical concern of representation. We suggest that through ‘narrative portraiture’ research findings can be contextualised in broader social narratives without losing sight of the unique personal qualities of the research encounter. Thus, we argue for the importance of bringing the participant and their everyday life experience into focus, highlighting that a portrayal of a sole story can be, not only a medium to understand a research phenomenon, but also a valuable research output in itself.     

Legitimizing leisure experiences as emotional work: A post‐humanist approach to gendered equine encounters

Due to changes in lifestyle and work patterns, education and values associated with wellbeing, non‐human animals are now incorporated into a range of human experiences and environments. This research specifically focuses on human–equine relations, examining blurred boundaries between therapeutic and recreational interspecies encounters. It is acknowledged that human–equine relations are often gendered and this research focuses mainly on women's narratives. Viewed through the post‐humanist lens, horses now form kinship and companionship roles, particularly for women, where relations have become mutually emotionally dependent as a result of interspecies communication and embodied encounters. Research utilizes feminist post‐humanist and cultural politics of emotion frameworks associate with the co‐agency on the co‐agency of animals. Embedded in the concept of equiscapes, or post‐humanist leisure spaces, research methods employ qualitative approaches, including in‐depth interviews, participant diaries and multispecies ethnography. Findings reveal how women make considerable investments in equine activities, which develops mutual welfare and wellbeing. Yet, despite these benefits, emotional and other expenditures are justified in work discourses to legitimize them as valuable to themselves, their families and their communities.     

Health Care innovation and children in poverty: lived experiences of caregivers of children with disabilities in a medicaid-serving ACO

This paper reports the results of a qualitative study of caregivers of children with disabilities enrolled in a Medicaid-serving accountable care organization (ACO). The state of Ohio mandated ACO enrollment for Medicaid-eligible children with disabilities in 34 of 88 counties effective July 2013. Research participants were queried in focus groups and individual interviews about their children’s care experiences and care coordination after enrollment. Most told researchers that they themselves are their children’s care coordinators, and many indicated that resource scarcity is a more pressing problem than fragmented care. Data analysis identified a theme of scarcity and four categories of insufficiency that made caregiver efforts on behalf of their children more difficult: a lack of health services under managed care, resource constraints on other agencies and programs for which families were eligible, a lack of financial support, and a lack of family support. A conceptual framework places ACO care coordination among more upstream factors and identifies ways in which ACOs serving Medicaid populations may wish to address the social determinants of the well-being of children with disabilities. Implications for future research are discussed.     

Social Media(tion) and the Reshaping of Public/Private Boundaries in Employment Relations

Tensions surrounding social media in the employment relationship are increasingly evident in the media, public rhetoric, and courts and employment tribunals. Yet the underlying causes and dimensions of these tensions have remained largely unexplored. This article firstly reviews the available literature addressing social media and employment, outlining three primary sources of contestation: profiling, disparaging posts and blogs, and private use of social media during work time. In each area, the key dynamics and underlying concerns of the central actors involved are identified. The article then seeks to canvas explanations for these forms of contestation associated with social media at work. It is argued that the architecture of social media disrupts traditional relations in organisational life by driving employer and employee actions that (re)shape and (re)constitute the boundaries between public and private spheres. Although employers and employees are using the same social technologies, their respective concerns about and points of entry to these technologies, in contrast to traditional manifestations of conflict and resistance, are asymmetric. The article concludes with a representational summary of the relative legitimacy of concerns for organisational actors and outlines areas for future research.     

The Determinants of Blue CollarWage Rates: An Analysis of a DataSet Incorporating Observed Job Characteristics

There is wide agreement that one of the major problems in the estimation of wage equations, and in testing theories of wages, is the quality of the data available. In particular, the data used in almost all studies involve indirect or unsatisfactory measures of a variety of relevant factors, including working conditions. In this paper we exploit an unusual data set that includes measures of characteristics of jobs generated by observation (rather than self report, or through inference from the Dictionary of Occupational Titles). With these data we estimate a wage equation in which compensating differentials play a significant role in wage determination and, once working conditions and other characteristics are effectively controlled, all but one measure of previous labour market experience had no effect on the wage rate.     

An agenda for future research regarding the mental health of young people with care experience

Young people who are currently or were previously in state care have consistently been found to have much higher rates of mental health and neurodevelopmental difficulties than the general youth population. While a number of high-quality reviews highlight what research has been undertaken in relation to the mental health of young people with care experience and the gaps in our knowledge and understanding, there is, until now, no consensus, so far as we aware, as to where our collective research efforts should be directed with this important group. Through a series of UK wide workshops, we undertook a consultative process to identify an agreed research agenda between those with lived experience of being in care (n = 15), practitioners, policy makers and researchers (n = 59), for future research regarding the mental health of young people with care experience, including those who are neurodiverse/have a neurodevelopmental difficulty. This consensus statement identified 21 foci within four broad categories: how we conceptualize mental health; under-studied populations; under-studied topics; and underused methodologies. We hope that those who commission, fund and undertake research will engage in this discussion about the future agenda for research regarding the mental health of young people with care experience.     

Separate Spheres or Increasing Equality? Changing Gender Beliefs in Postwar Japan

This research investigates change in gender beliefs in Japan during a period of economic hard times in the late 1990s. Using data from the International Social Survey Programme on the Japanese population from 1994 (n = 1,054) and 2002 (n = 872), we examined how cohort replacement and intracohort change contributed to changes in gender beliefs. We found important differences from the patterns of change reported for many Western countries, namely, a decoupling between societal trends in the female labor force participation rate and beliefs about gender. Such differences may be attributable to factors such as the high societal valuation of the housewife role compared to that in other postindustrial countries and sanctions against full‐time employment for women in Japan.     

Family well-being concerns of grandparents in skipped generation families

This study examined the family well-being concerns of grandparents in skipped-generation families. Co-resident grandparents who are responsible for raising their grandchildren completed surveys, focus groups, or individual interviews. Service providers to skipped-generation families also participated in individual interviews to provide an additional perspective to grandparents' concerns. Results indicated 5 levels of concerns: intrapersonal, interpersonal, organizational or institutional, policy, and societal. Concerns at different levels were interrelated and pointed to the need for multilevel interventions to help these families. Implications of the findings for future interventions with skipped-generation families are discussed.     

A flexible semiparametric regression model for bimodal,asymmetric and censored data

In this paper, we propose a new semiparametric heteroscedastic regression model allowing for positive and negative skewness and bimodal shapes using the B-spline basis for nonlinear effects. The proposed distribution is based on the generalized additive models for location, scale and shape framework in order to model any or all parameters of the distribution using parametric linear and/or nonparametric smooth functions of explanatory variables. We motivate the new model by means of Monte Carlo simulations, thus ignoring the skewness and bimodality of the random errors in semiparametric regression models, which may introduce biases on the parameter estimates and/or on the estimation of the associated variability measures. An iterative estimation process and some diagnostic methods are investigated. Applications to two real data sets are presented and the method is compared to the usual regression methods.