How do scholars transform qualitative data into analysis? What does making analysis imply? What happens in the space in-between data and finalized analysis is notoriously difficult to talk about. In other parts of the research process, scholars and students are aided by method books that describe the technicalities of generating, processing and sorting through data, handbooks that teach academic writing, and scholarly works that offer meta-level, theoretical perspectives. Yet the path from qualitative data to analysis remains ‘a black box.’ Qualitative Analysis in the Making ventures into this black box. The volume provides a means of speaking about how analyses emerge in the Humanities. Contributors from disciplines such as anthropology, history, and sociology of religion all employ an analytical double take. They revisit one of their analyses, analyzing how this particular analysis came into being. Such analyses of an analysis are neither confessions nor step-by-step recounts of what happened. Rather, the volume argues that speaking of the space in-between requires analytical displacement, and the employment of fresh analytical takes. This approach contributes to demystifying the path from qualitative data to finalized analysis. It invites novel epistemological reflections among scholars, and assists students in improving their analytical skills.

Using lively examples and friendly tips gleaned from his own and other researchers' experiences, and a warm, reflective writing style, Harry F Wolcott offers readers suggestions for writing up qualitative research.

In this practical book the authors highlight the range of approaches available to qualitative researchers by using a single data set which they analyze using a number of techniques.

This unique text provides a broad introduction to qualitative analysis together with concrete demonstrations and comparisons of five major approaches. Leading scholars apply their respective analytic lenses to a narrative account and interview featuring "Teresa," a young opera singer who experienced a career-changing illness. The resulting analyses vividly exemplify what each approach looks like in action. The researchers then probe the similarities and differences among their approaches; their distinctive purposes and strengths; the role, style, and subjectivity of the individual researcher; and the scientific and ethical complexities of conducting qualitative research. Also included are the research participant's responses to each analysis of her experience. A narrative account from another research participant, "Gail," can be used by readers to practice the kinds of analysis explored in the book.

Making Data in Qualitative Research offers a generative alternative to outdated approaches to data collection. By reimagining methods through a model of data engagement, qualitative researchers consider what is at stake—ethically, methodologically, and theoretically—when we co-create data and imagine possibilities for doing data differently. Ellingson and Sotirin draw on critical, intersectional perspectives, including feminist, poststructuralist, new materialist, and postqualitative theorizing, to refigure methodological practices of data collection for the contemporary moment. Ellingson and Sotirin’s data engagement model offers a vibrant framework through which data are made rather than found; assembled rather than collected or gathered; and becoming or dynamic rather than static. Further, pragmatism, compassion, and joy form a compelling ethical foundation for engaging with qualitative data reflecting the full range of critical, postpositivist, intepretivist, and arts-based research methods. Chapters illuminate creative possibilities for engaging fieldnotes, audio/video recordings and photographs, transcription, digital/online data, participatory data, and self-as-data. Making Data in Qualitative Research is a great resource for researchers who want to move past simplistic approaches to qualitative data collection and embrace provocative possibilities for engaging with data. Bridging abstract theorizing and pragmatic strategies for making a wide variety of data, this book will appeal to graduate (and advanced undergraduate) qualitative methods students and early career researchers, as well as to advanced scholars looking to update and expand the scope of their methods.

Winner of the 2020 Anselm Strauss Award for Qualitative Family Research, National Council on Family Relations. How is qualitative data actually collected, analyzed, and accomplished? Real stories of How Qualitative Data Analysis Occurs: Moving Beyond "Themes Emerged" offers an in-depth look into how qualitative social science researchers studying family issues and dynamics approach their data analyses. It moves beyond the usual vague statement of "themes emerged from the data" to show readers how researchers actively and consciously arrive at their themes and conclusions, revealing the complexity and time involved in making sense of thousands of pages of interview data, multiple data sources, and diverse types of data. How Qualitative Data Analysis Occurs focuses on a diversity of topics in family research across the life course. The various authors provide detailed narratives into how they analyzed their data from previous publications, and what methodologies they used, ranging from arts-based research, autoethnography, community-based participatory research, ethnography, grounded theory, to narrative analysis. Supplemental figures, images, and screenshots which are referred to in the chapters, are included in an accompanying eResource, as well as links to the previously published work on which the chapters are based. This book is an invaluable resource for experienced and novice qualitative researchers throughout the social sciences.

`A great basic book, which can be used by the novice qualitative researcher. The advice is friendly, almost folksy with clear conceptual explanation of how the program works. A very welcome contribution to this field' - Martha Ann Carey, Albert Einstein College of Medicine, New York `Qualitative researchers continue to be criticized because they rely too much on their own interpretations and avoid analytical and theoretical issues. This book provides ways to integrate the thinking about a project and the data you have with practical ways that the software can facilitate the process. I recommend it for both the new user as well as the experienced one' - Marilyn Lichtman, Forum for Qualitative Social Research - follow the link below to read the complete review This book invites readers to learn how to use qualitative data analysis software in the context of doing their research project. The reader follows basic steps for creating and conducting a real project with real data, using the new-generation software package, QSR NVivo. The software tools are introduced only as needed and explained in the framework of what is being asked. The reader is the craftsperson, trialling those tools in the processes of getting started, tentative interpretation, drawing links, shaping data, and seeking and establishing explanations and theories. The NVivo Qualitative Project Book allows the researcher to work through their own project, or work with data provided from a real project. The authors draw on decades of experience of research and training researchers around the world, and take the reader through each step in a style combining informality and authority, with frequent tips and reflections on what is being done. Demonstration software is provided on the enclosed CD-ROM, with data to help create (a researcher's project) a project about researchers and researching, and with multiple stages arranged sequentially in the development of a real project. As a practical tool to help researchers understand qualitative data analysis software using NVivo, and a guide through the sometimes complex processes of doing a research project, this book will be invaluable reading for researchers and students undertaking qualitative research. Pat Bazeley provides training and consulting services in research design and data analysis through her company, Research Support. Lyn Richards is Director of Research Services at Qualitative Solutions and Research, the developers of NUD·IST and NVivo software. NVivo is distributed by Scolari, SAGE Publications Software.