Vicki Clarke

This chapter maps the terrain of thematic analysis, a method for capturing patterns across qualitative datasets. We identify key concepts and different orientations and practices, illustrating why TA is often better understood as an umbrella term, used for sometimes quite different approaches, than a single qualitative analytic approach. Under the umbrella, three broad approaches can be identified: a “coding reliability” approach, a “codebook” approach, and a “reflexive” approach. These are often characterized by distinctive – sometimes radically different – conceptualizations of what a theme is, as well as methods for theme identification and development, and indeed coding. We then provide practical guidance on completing TA within our popular approach to TA, discussing each phase of the six-phase approach we have developed in relation to a project on men, rehabilitation, and embodiment. We conclude with a discussion of key concerns related to ensuring the TA you do – within whatever approach – is of the highest quality.

This chapter introduces the story completion method of collecting qualitative data, a novel technique that offers exciting potential to the qualitative researcher. SC involves a researcher writing a story “stem” or “cue” – or, more simply put, the start of a story, usually an opening sentence or two – and asking the participants to complete or continue the story. Originally developed as a form of projective test, the use of SC in qualitative research is relatively new. The authors comprise the Story Completion Research Group, a group of researchers that have come together to share their experience of using and further developing the method. This chapter explains what SC offers the qualitative researcher – including choices about the “best” epistemiological lens and analytic approach for their research question, the potential to collect data about sensitive or taboo topics and to access socially undesirable responses, as well as the possibility of research designs that allow comparisons. This chapter also provides key guidance, such as what constitutes an appropriate research question, and sampling and design considerations. As a recently developed method, SC has fewer published research studies than some of the other research methods covered in this volume. For this reason, the chapter aims not only to provide a description of the method and recommendations for how best to use it, but also to explore some of the unresolved theoretical and practical questions about SC as well as to suggest future directions for SC.