The article presents an analysis of new empirical evidence on parenting values and orientations to children's education and social class. A survey of parents with children involved in organized activities was undertaken, followed by a series of semi-structured interviews with a sample strategically identified with reference to both social class and subjective orientations to education. We argue that within recent literature there has been a tendency towards overstating the internal homogeneity of middle-class and working-class experiences. Our data reveal diverse parental orientations to their children's education within, as well as across, classes. We analyse this diversity in relation to varied circumstances, and draw out some implications for theories of inequality.
There has been a significant growth in the infrastructure for archiving and sharing qualitative data, facilitating reuse and secondary analysis. The article explores some issues relating to ethics and epistemology in the conduct of qualitative secondary analysis. It also offers a critical discussion of the importance of engaging with the situatedness and contextually embedded nature of data, and ways in which contexts (including research designs and disciplinary and methodological assumptions) are themselves embedded in primary data. I illustrate some strategies for addressing these matters with reference to analyses of two different areas, drawing on research conducted as part of ESRC Timescapes, and highlight some issues for development research.
The article illustrates some of the strategies we are developing in the secondary analysis of Timescapes data and seeks to draw some general lessons for qualitative data analysts. We focus on three different areas of work. Across all of these we examine the potential explanatory value of working with data in a comparative way, and engage with some challenges presented by contextual specificity in the way qualitative data are generated. In the first area we consider the issue of how we situate qualitative data with reference to diversity across the population, and use an example of working between a single qualitative Timescapes data set and survey data. Understanding how qualitative data are situated offers a framework for internal comparison which maps onto wider diversity. In the second area we consider the outcome of bringing together primary researchers whose comparison of project data, as secondary analysts, allow them to 'hear silences' and, therefore, re-interrogate their own data within a revised conceptual framework. In the third area we describe how, as secondary analysts, we have worked across Timescapes data sets. Here we consider the challenges of undertaking secondary analysis across diverse, project specific, research contexts, and the potential of comparative working across data sets for enhancing understanding.
Lay perceptions of social structure and economic distribution have a particular salience in the current era of widening inequalities which has characterised Britain since the 1980s.Research into subjective beliefs has generated puzzles: people under-estimate the extent of inequalities, see themselves as being situated 'near the middle' irrespective of their objective position, and allegedly hold an a-social view of the underpinnings of socio-economic inequalities. This article presents a new qualitative analysis of lay perceptions of inequality.It does so with a particular focus on context, biographical experience and social change. The qualitative and temporal perspectives reveal that people are more sophisticated analysts of social process, and of their own situatedness within the wider social structure, than often thought. This has implications for sociological understanding but also holds relevance for renewing political options for intervention. Additionally the evidence offers insights into lived experiences of inequality through a period of significant restructuring.
Qualitative research has generated important insights into the intersection of social class, parental values and children's experiences of education and their role in the reproduction of inequalities. There has been less analytic engagement with parents' expectations and aspirations regarding their children's future occupations. Such expectations and aspirations have attracted much research and policy interest. Typically, analyses have been quantitative and focused on outcomes for children. Whilst parental expectations are deemed very influential for children's future occupational outcomes, there is relatively little evidence on the shaping of such expectations, or the ways in which future work and occupations are discussed between parents and children. This article reports on an analysis of parents' ideas about their children's future occupations and the contexts in which these ideas accrue meaning. Drawing on primary data from interviews with parents we explore diversity within, as well as across, social classes. First we explore parents' expectations and aspirations for their children's future occupations. Secondly we consider how parents see their own role in shaping such futures. The evidence highlights the salience of parents' own biographies and class backgrounds in shaping their orientations to, and manner of engagement with, their children's futures. Thirdly we briefly explore how parents' expectations and engagement with their children play out in class differentiated ways as their children approach early adulthood.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.