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The key to using an analytic method is to understand its underlying logic and figure out how to incorporate it into the research process. In the case of Qualitative Comparative Analysis (QCA), so far these issues have been addressed only partly. While general introductions and user's guides for QCA software packages are available, prospective users find little guidance as to how the method works in applied data analysis. How can QCA be used to produce comprehensive, ingenious explanations of social phenomena? In this article, the author provides such a hands-on introduction to QCA. In the first two parts, he offers a concise overview of 1. the method's main principles and advantages as well as 2. its vital concepts. In the subsequent part, he offers suggestions for 3. how to employ QCA's analytic tools in the research process and how to interpret their output. Lastly, the author shows 4. how QCA results can inform the data analysis. As the main contribution, he provides a template for how to reassess cases, causal recipes, and single conditions based on QCA results in order to produce better explanations of what is happening in the data. With these contributions, the article helps prospective QCA users to utilize the full potential the method offers for social science research.

Qualitative design consists of various approaches towards data collection, which researchers can use to help with the provision of both cultural and contextual description and interpretation of social phenomena. Qualitative content analysis (QCA) and thematic analysis (TA) as qualitative research approaches are commonly used by researchers across disciplines. There is a gap in the international literature regarding differences between QCA and TA in terms of the concept of a theme and how it is developed. Therefore, in this discussion paper we address this gap in knowledge and present differences and similarities between these qualitative research approaches in terms of the theme as the final product of data analysis. We drew on current multidisciplinary literature to support our perspectives and to develop internationally informed analytical notions of the theme in QCA and TA. We anticipate that improving knowledge and understanding of theme development in QCA and TA will support other researchers in selecting the most appropriate qualitative approach to answer their study question, provide high-quality and trustworthy findings, and remain faithful to the analytical requirements of QCA and TA.

We live our lives in conversation, building families, societies and civilisations. In over seven thousand languages across the world, the basic infrastructure by which we communicate remains the same. This is the first ever book-length linguistic introduction to conversation analysis (CA), the field that has done more than any other to illuminate the mechanics of interaction. Starting by locating CA by reference to a number of cognate disciplines investigating language in use, it provides an overview of the origins and methodology of CA. By using conversational data from a range of languages, it examines the basic apparatus of sequence organisation: turn-taking, preference, identity construction and repair. As the basis for these investigations, the book uses the twin analytic resources of action and sequence to throw new light on the origins and nature of language use.

Survival analysis is a class of statistical methods for studying the occurrence and timing of events. With clearly written summaries and plentiful examples, this pocket guide will put this important statistical tool in the hands of many more social work researchers than have been able to use it before

Sean Snee blogs about how the Analysis Function recommends providing alternative text for data visualisations, to ensure content is accessible to everyone.