Navigating Grounded Theory:A critical and reflective response to the challenges of using grounded theory in an education PhD

This paper offers a critical reflection upon the use of a grounded theory approach within a doctoral study. As well as providing an outline of grounded theory, it begins by noting the existence of some powerful critiques of a grounded theory approach, in particular around the key concepts of ‘theory’, ‘discovery’ and ‘ground’. It is argued that, in some cases, grounded theory struggles to counter these challenges, especially in its ‘purist’ forms. However, with reference to research carried out as part of a PhD study of sharing education in Northern Ireland which employed a grounded theory approach, a case is made for an open and critical grounded theory based upon three principles: pragmatism; research as practice; and reflexivity. It is concluded that a reasonable case can be made for grounded theory where: grounded theory researchers maintain a balance between belonging to and critique of the grounded theory community; where there is an emphasis upon theorizing rather than the discovery of theory; and where the strengths of grounded theory as 'practice' and 'craft' are maximised.

Using film as a source

This book is a hands-on study skills guide that explores how film and moving image can be used as sources. It is aimed at those who want to use film and moving image as the basis for research and offers advice on research methods, theory and methodology, archival work and film-based analysis. It draws on the disciplines of film and history to offer advice for students and researchers in these fields.

The book includes sections on working with different kinds of moving images, how to explore visual sources, how to undertake film-related research and how to use film theory. In addition to providing detailed case studies, the guide also offers advice on research, writing and studying, creating a methodology, visiting archives, accessing material and exploring films from a historical perspective. The guide's focus is on good research practice, whether it be conducting an interview, visiting an archive, undertaking textual analysis or defining a research question.

Teenagers' Perceptions and Experiences of Belfast as a Divided City

In this ‘research project’ case study, we provide an empirical example of how quantitative and qualitative methods were combined within a single study and discuss some of the strengths and weaknesses of our combined methodology which included questionnaires, photo-prompts and focus-group interviews. Our intention in using mixed methods was to enhance understandings of the meanings of space, place and territory on the everyday lives of young people growing up in Belfast. How do young people negotiate space in politically divided cities such as Belfast? Is territory important, and if so, why is it important? How do we construct an appropriate and relevant study design that can not only describe, but explain what place, space and territory mean to young people, and more importantly, how it impacts on their everyday lives? How useful is it to apply a mixed-methods approach to finding answers to these questions? We explain why and how we used a mixed-methods approach and illuminate some of the issues we encountered. We demonstrate how mixed methods can provide not just complementary but also new insights into the topic under investigation. We hope that the case study encourages you to experiment, or at least consider, the potential of using mixed methods.

Gender and Material Culture in Britain since 1600

What does material culture tell us about gendered identities and how does gender reveal the meaning of spaces and things?

If we look at the objects that we own, covet and which surround us in our everyday culture, there is a clear connection between ideas about gender and the material world. This book explores the material culture of the past to shed light on historical experiences and identities. Some essays focus on specific objects, such as an eighteenth-century jug or a twentieth-century powder puff, others on broader material environments, such as the sixteenth-century guild or the interior of a twentieth-century pub, while still others focus on the paraphernalia associated with certain actions, such as letter-writing or maintaining eighteenth-century men's hair.

Written by scholars in a range of history-related disciplines, the essays in this book offer exposés of current research methods and interests. These demonstrate to students how a relationship between material culture and gender is being addressed, while also revealing a variety of intellectual approaches and topics.

Parallel Time Series Analysis and Income Inequality: A New Approach to Comparative Case Studies

This case study deals with the role of time series analysis in sociology, and its relationship with the wider literature and methodology of comparative case study research. Time series analysis is now well-represented in top-ranked sociology journals, often in the form of ‘pooled time series’ research designs. These studies typically pool multiple countries together into a pooled time series cross-section panel, in order to provide a larger sample for more robust and comprehensive analysis. This approach is well suited to exploring trans-national phenomena, and for elaborating useful macro-level theories specific to social structures, national policies, and long-term historical processes. It is less suited however, to understanding how these global social processes work in different countries. As such, the complexities of individual countries - which often display very different or contradictory dynamics than those suggested in pooled studies – are subsumed. Meanwhile, a robust literature on comparative case-based methods exists in the social sciences, where researchers focus on differences between cases, and the complex ways in which they co-evolve or diverge over time. A good example of this is the inequality literature, where although panel studies suggest a general trend of rising inequality driven by the weakening power of labour, marketisation of welfare, and the rising power of capital, some countries have still managed to remain resilient. This case study takes a closer look at what can be learned by applying the insights of case-based comparative research to the method of time series analysis. Taking international income inequality as its point of departure, it argues that we have much to learn about the viability of different combinations of policy options by examining how they work in different countries over time. By taking representative cases from different welfare systems (liberal, social democratic, corporatist, or antipodean), we can better sharpen our theories of how policies can be more specifically engineered to offset rising inequality. This involves a fundamental realignment of the strategy of time series analysis, grounding it instead in a qualitative appreciation of the historical context of cases, as a basis for comparing effects between different countries.

Learning from Outdoor Webcams: Surveillance of Physical Activity Across Environments

Abstract
Publicly available, outdoor webcams continuously view the world and share images. These cameras include traffic cams, campus cams, ski-resort cams, etc. The Archive of Many Outdoor Scenes (AMOS) is a project aiming to geolocate, annotate, archive, and visualize these cameras and images to serve as a resource for a wide variety of scientific applications. The AMOS dataset has archived over 750 million images of outdoor environments from 27,000 webcams since 2006. Our goal is to utilize the AMOS image dataset and crowdsourcing to develop reliable and valid tools to improve physical activity assessment via online, outdoor webcam capture of global physical activity patterns and urban built environment characteristics.
This project’s grand scale-up of capturing physical activity patterns and built environments is a methodological step forward in advancing a real-time, non-labor intensive assessment using webcams, crowdsourcing, and eventually machine learning. The combined use of webcams capturing outdoor scenes every 30 min and crowdsources providing the labor of annotating the scenes allows for accelerated public health surveillance related to physical activity across numerous built environments. The ultimate goal of this public health and computer vision collaboration is to develop machine learning algorithms that will automatically identify and calculate physical activity patterns.