Qualitative Data Analysis

This book tackles the challenges of how to make sense of qualitative data. It offers students and researchers a hands-on guide to the practicalities of coding, comparing data, and using computer-assisted qualitative data analysis. Lastly, Gibbs shows you how to bring it all together, so you can see the steps of qualitative analysis, understand the central place of coding, ensure analytic quality and write effectively to present your results.

Computer-Aided Qualitative Data Analysis offers an invaluable guide to the rapidly developing arena of research practice. It will be essential reading for researchers and graduate students across the social sciences who are engaged in qualitative research.

This major inter-disciplinary collection, edited by two of the best respected figures in the field, provides a superb general introduction to this subject. Chapters include discussions of fieldwork methodology, analyzing discourse, the advantages and pitfalls of team approaches, the uses of computers, and the applications of qualitative data analysis for social policy. Shrewd and insightful, the collection will be required reading for students of the latest thinking on research methods.

With numerous approaches to choose from, knowing where to start when doing qualitative data analysis (QDA) can be a challenge. This book gives you direction with an accessible and thorough introduction to nine different approaches to QDA, written by a multi-disciplinary team with years of experience teaching and analysing data using these methods. With a clear focus on the ‘how to’ of QDA, each chapter includes: •Step-by-step descriptions of how to apply each approach in your research •Online and in-text activities to help you practice your skills •Annotated reading lists so you can dig deeper into key topics •Case studies from a range of disciplines so you can see how each approach works in practice. The perfect companion on your journey through QDA, the book also offers a comprehensive introduction to the use of NVivo QDA software, helping both new and experienced researchers get to grips with the essentials.

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.

Lecturers, click here to request an e-inspection copy of this text This new edition of Lyn Richards' best-selling book provides an accessible introduction to qualitative research for students and practitioners. Recognizing that for many new researchers dealing with data is the main point of departure, this book helps them to acquire a progressive understanding of the skills and methodological issues that are central to qualitative research. Lyn Richards provides clear and pragmatic guidance on how to handle, reflect on and get results from small amounts of data, while at the same time showing how a consideration of methods and their philosophical underpinnings informs how we should best handle our data. This book also covers all the processes of making, meeting, sorting, coding, documenting and exploring qualitative data, smoothly integrating software use and the discussion of the main challenges that readers are likely to encounter. It guides novice researchers to achieve valid and useful outcomes from qualitative analysis, and to ensure they do justice to their data. This second edition features: - Increased coverage of issues about the researcher's relation to their data and ethical implications - An expanded section on preparing for data collection and reflecting on the nature of data. There is also a brand new website, offering: - Live, detailed case studies of qualitative methods in practice, linking to publications and illustrative material. Researchers tell the stories of projects, from design, through what was actually done with the data, to how analysis was achieved and reported; - A software guide with links to information and tutorials in several products.

Written by an experienced researcher in the field of qualitative methods, this dynamic new book provides a definitive introduction to analysing qualitative data. It is a clear, accessible and practical guide to each stage of the process, including: - Designing and managing qualitative data for analysis - Working with data through interpretive, comparative, pattern and relational analyses - Developing explanatory theory and coherent conclusions, based on qualitative data. The book pairs theoretical discussion with practical advice using a host of examples from diverse projects across the social sciences. It describes data analysis strategies in actionable steps and helpfully links to the use of computer software where relevant. This is an exciting new addition to the literature on qualitative data analysis and a must-read for anyone who has collected, or is preparing to collect, their own data.

Miles and Huberman's seminal text has helped thousands of graduate students and researchers find meaning from their qualitative data. New to this edition is the integration of qualitative analysis software, coverage of new approaches of inquiry, inclusion of mixed methods, and examples from a wider range of social science disciplines.

As qualitative researchers incorporate computer assistance into their analytic approaches, important questions arise about the adoption of new technology. Is it worth learning computer-assisted methods? Will the pay-off be sufficient to justify the investment? Which programs are worth learning? What are the effects on the analysis process? This book complements the existing literature by giving a detailed account of the use of four major programs in analyzing the same data. Priority is given to the tasks of qualitative analysis rather than to program capability and the programs are treated as tools rather than as a discipline to be acquired. The key is not what the programs allow researcher to do, but whether the tasks that researchers need to undertake are facilitated by the software. Thus the study develops a user-centred approach to the adoption of computer-assisted qualitative data analysis. The author emphasises qualitative analysis as a creative craft, but one which must increasingly be subject to rigorous methodological scrutiny. The adoption of computer-aided methods offers opportunities, but also dangers and ultimately this book is about the scientific qualitative research. Written in a distinctive and succinct style, this book will be valuable to social science researchers and students interested in qualitative research and in the potential for computer-assisted analysis.

Now updated to cover latest versions and featuring instructions for both Mac and Windows users, this book is still the go-to source of support for getting to grips with qualitative data analysis using ATLAS.ti. With over twenty years of experience using, developing, and teaching ATLAS.ti, Susanne Friese is the perfect data analysis tour guide. Aware of common challenges and sticking points, she eases readers from readying and organizing data into coding and querying it, providing not only tips on how to prepare for analysis, but also the tools and technical know-how needed to observe, examine, and discuss data. Placing quick software ‘skills training’ tutorials alongside different stages of the data analysis process, she gives readers the opportunity to integrate software training with their actual analysis.

Maurice Ravel: A Research and Information Guide is an annotated bibliography concerning both the nature of primary sources related to the composer and the scope and significance of the secondary sources which deal with him, his compositions, and his influence as a composer and theorist.

Modes of Thinking for Qualitative Data Analysis argues for engagement with the conceptual underpinnings of five prominent analytical strategies used by qualitative researchers: Categorical Thinking, Narrative Thinking, Dialectical Thinking, Poetical Thinking, and Diagrammatical Thinking. By presenting such disparate modes of research in the space of a single text, Freeman not only draws attention to the distinct methodological and theoretical contributions of each, she also establishes a platform for choosing among particular research strategies by virtue of their strengths and limitations. Experienced qualitative researchers, novices, and graduate students from many disciplines will gain new insight from the theory-practice relationship of analysis advanced in this text.

Gregor Wiedemann evaluates text mining applications for social science studies with respect to conceptual integration of consciously selected methods, systematic optimization of algorithms and workflows, and methodological reflections relating to empirical research. In an exemplary study, he introduces workflows to analyze a corpus of around 600,000 newspaper articles on the subject of “democratic demarcation” in Germany. He provides a valuable resource for innovative measures to social scientists and computer scientists in the field of applied natural language processing.

Balancing theoretical foundations with practical strategies, this book helps you develop an approach to your qualitative analysis that is both systematic and insightful. It demonstrates the importance of tying analysis into every aspect of research, from design, through data collection and management, to writing up, and provides step-by-step guidance on how to embed analysis from start to finish. Grounded in the reality of doing research, this second edition: • Presents visual and text-based methods for analysis, using manual and digital tools • Inspires confidence as you code, connect and interrogate observational, text and visual data • Showcases best practice and helps you navigate real-life dilemmas using case studies of research from across the social sciences. Together with rich online resources including videos, datasets and journal articles, this is an important new edition for all students undertaking qualitative research, with a focus on analysis and design.

Covering the general process of data analysis to finding, collecting, organizing, and presenting data, this book offers a complete introduction to the fundamentals of data analysis. Using real-world case studies as illustrations, it helps readers understand theories behind and develop techniques for conducting quantitative, qualitative, and mixed methods data analysis. With an easy-to-follow organization and clear, jargon-free language, it helps readers not only become proficient data analysts, but also develop the critical thinking skills necessary to assess analyses presented by others in both academic research and the popular media. It includes advice on: - Data analysis frameworks - Validity and credibility of data - Sampling techniques - Data management - The big data phenomenon - Data visualisation - Effective data communication Whether you are new to data analysis or looking for a quick-reference guide to key principles of the process, this book will help you uncover nuances, complexities, patterns, and relationships among all types of data.

"... provides a thorough but very accessible reference guide to epistemological changes and their impact on the field of qualitative research, together with a practical guide to the wide range of approaches social science researchers and postgraduate students are currently using to design and analyze this form of data. ... for social researchers attempting qualitative approaches. It provides a first-class, reliable guide to the basic issues in data analysis with detailed examples, a glossary and further reading lists and summaries of key points provided throughout the text.

In this fully updated and expanded second edition, Carol Grbich provides a guide through current issues in the analysis of qualitative data. Packed with detailed examples, a glossary, further reading lists and a section on writing up, this book is exactly what you need to get you started in qualitative research. The new edition covers analytical approaches including: - grounded theory - classical, existential and hermeneutic phenomenology - feminist research including memory work - classical, auto- and cyberethnography as well as ethnodrama - content, narrative, conversation and discourse analysis - visual interpretation - semiotic, structural and poststructural analyses A one-stop-shop for students new to qualitative data analysis!

The fully updated Second Edition of Analyzing Qualitative Data: Systematic Approaches by H. Russell Bernard, Amber Wutich, and Gery W. Ryan presents systematic methods for analyzing qualitative data with clear and easy-to-understand steps. The first half is an overview of the basics, from choosing a topic to collecting data, and coding to finding themes, while the second half covers different methods of analysis, including grounded theory, content analysis, analytic induction, semantic network analysis, ethnographic decision modeling, and more. Real examples drawn from social science and health literature along with carefully crafted, hands-on exercises at the end of each chapter allow readers to master key techniques and apply them to their own disciplines.

Outlining how to select the most appropriate tool for analyzing data, Analysing Qualitative Data also provides the reader with an awareness of the various challenges that are unique to interpreting the conceptual and subjective data generated in qualitative research.

Working with Qualitative Data provides a practical and accessible introduction to how to develop and apply strategies for the analysis of qualitative data by exploring the ways in which analysis is related to all aspects of research. By situating analysis in the context of the whole research process, this book helps the reader to introduce an analytical component to every stage of doing research: from designing a project, reviewing the literature, through the various stages of gathering data, to the process of writing-up. Through practical examples the book maps out strategies for developing analytic frameworks in relation to all aspects of research, and demonstrates the ways in which such frameworks can be used in relation to various sorts of data. In contrast to existing qualitative data analysis texts, this book offers a unified approach to the process of analysis within qualitative research. It will be of great use to students and researchers across the full range of social, health and education sciences.