Qualitative Data Analysis

Book Description :

"This comprehensive, practical, user-friendly book provides a wealth of data analysis strategies that are essential for any qualitative research. It is a must-have tool book for moving from data analysis to writing for publication!" –Guofang Li, University of British Columbia, Canada Miles, Huberman, and Saldaña’s Qualitative Data Analysis: A Methods Sourcebook is the authoritative text for analyzing and displaying qualitative research data. The Fourth Edition maintains the analytic rigor of previous editions while showcasing a variety of new visual display models for qualitative inquiry. Graphics are added to the now-classic matrix and network illustrations of the original co-authors. Five chapters have been substantially revised, and the appendix’s annotated bibliography includes new titles in research methods. Graduate students and established scholars from all disciplines will find this resource an innovative compendium of ideas for the representation and presentation of qualitative data. As the authors demonstrate, when researchers "think display," their analyses of social life capture the complex and vivid processes of the people and institutions studied.

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Qualitative Data Analysis shows that learning how to analyse qualitative data by computer can be fun. Written in a stimulating style, with examples drawn mainly from every day life and contemporary humour, it should appeal to a wide audience.

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Lecturers/instructors only - request a free digital inspection copy here 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. Available with Perusall—an eBook that makes it easier to prepare for class Perusall is an award-winning eBook platform featuring social annotation tools that allow students and instructors to collaboratively mark up and discuss their SAGE textbook. Backed by research and supported by technological innovations developed at Harvard University, this process of learning through collaborative annotation keeps your students engaged and makes teaching easier and more effective. Learn more.

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The latest edition of this best-selling textbook by Miles and Huberman not only is considerably expanded in content, but is now available in paperback. Bringing the art of qualitative analysis up-to-date, this edition adds hundreds of new techniques, ideas and references developed in the past decade. The increase in the use of computers in qualitative analysis is also reflected in this volume. There is an extensive appendix on criteria to choose from among the currently available analysis packages. Through examples from a host of social science and professional disciplines, Qualitative Data Analysis remains the most comprehensive and complete treatment of this topic currently available to scholars and applied researchers.

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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.

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The wide range of approaches to data analysis in qualitative research can seem daunting even for experienced researchers. This handbook is the first to provide a state-of-the art overview of the whole field of QDA; from general analytic strategies used in qualitative research, to approaches specific to particular types of qualitative data, including talk, text, sounds, images and virtual data. The handbook includes chapters on traditional analytic strategies such as grounded theory, content analysis, hermeneutics, phenomenology and narrative analysis, as well as coverage of newer trends like mixed methods, reanalysis and meta-analysis. Practical aspects such as sampling, transcription, working collaboratively, writing and implementation are given close attention, as are theory and theorization, reflexivity, and ethics. Written by a team of experts in qualitative research from around the world, this handbook is an essential compendium for all qualitative researchers and students across the social sciences.

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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.

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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!

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Are you struggling to get to grips with qualitative data analysis? Do you need help getting started using ATLAS.ti? Do you find software manuals difficult to relate to? Written by a leading expert on ATLAS.ti, this book will guide you step-by-step through using the software to support your research project. In this updated second edition, you will find clear, practical advice on preparing your data, setting up a new project in ATLAS.ti, developing a coding system, asking questions, finding answers and preparing your results. The new edition features: methodological as well as technical advice numerous practical exercises and examples screenshots showing you each stage of analysis in version 7 of ATLAS.ti increased coverage of transcription new sections on analysing video and multimedia data a companion website with online tutorials and data sets. Susanne Friese teaches qualitative methods at the University of Hanover and at various PhD schools, provides training and consultancy for ATLAS.ti at the intersection between developers and users.

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A Step-by-Step Guide to Qualitative Data Coding is a comprehensive qualitative data analysis guide. It is designed to help readers to systematically analyze qualitative data in a transparent and consistent manner, thus promoting the credibility of their findings. The book examines the art of coding data, categorizing codes, and synthesizing categories and themes. Using real data for demonstrations, it provides step-by-step instructions and illustrations for analyzing qualitative data. Some of the demonstrations include conducting manual coding using Microsoft Word and how to use qualitative data analysis software such as Dedoose, NVivo and QDA Miner Lite to analyze data. It also contains creative ways of presenting qualitative findings and provides practical examples. After reading this book, readers will be able to: Analyze qualitative data and present their findings Select an appropriate qualitative analysis tool Decide on the right qualitative coding and categorization strategies for their analysis Develop relationships among categories/themes Choose a suitable format for the presentation of the findings It is a great resource for qualitative research instructors and undergraduate and graduate students who want to gain skills in analyzing qualitative data or who plan to conduct a qualitative study. It is also useful for researchers and practitioners in the social and health sciences fields.

Book Description :

Lecturers/instructors only - request a free digital inspection copy here This straightforward, jargon-free book provides an invaluable introduction to planning and conducting qualitative data analysis with NVivo. Written by leading authorities, with over 40 years combined experience in computer-assisted analysis of qualitative and mixed-mode data, the new edition of this best selling textbook is an ideal mix of practical instruction, methodology and real world examples. Practical, clear and focused the book effectively shows how NVivo software can accommodate and assist analysis across a wide range of research questions, data types, perspectives and methodologies. It sets out: The power and flexibility of the NVivo software How best to use NVivo at each stage in your research project Examples from the authors′ own research and the sample data that accompanies the software, supplemented with vignettes drawn from across the social sciences Annotated screen shots A website with links to data, sample projects, supplementary/updated instructions, and SAGE journal content This second edition contains new chapters on handling a literature review, visualizing data, working in mixed methods and social media datasets, and approaching NVivo as a team. An insightful step-by-step guide to the messy reality of doing computer-assisted analysis, this successful book is essential reading for anyone considering using NVivo software.

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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.

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Are you new to qualitative research? Are you planning to do interviews or focus groups and wondering what on earth you′ll do with the data once it′s collected? Do you have a pile of transcripts staring at you right now and are you lost as to how to identify themes, code your data and work out what it all means? Fear not, help is here! In this brilliant new book, Jamie Harding breaks down the process of analysing qualitative data into simple, retraceable steps. After providing some top tips for designing your research and collecting your data, he takes you through the different stages of analysis, from the first reading of your transcripts, to presenting your findings in a report or dissertation. For each stage of the process there are demonstrations using real data and exercises for you to perform yourself. He unpicks what happens behind the scenes in qualitative data analysis - the bit that′s hard to learn without seeing it happen and trying it for yourself. While acknowledging that there are many different forms that qualitative data analysis can take, the book provides a series of ideas and examples that you will find invaluable when analysing your own data. This book is perfect for all social science students who are struggling with data analysis and are looking for someone to guide the way.

Book Description :

Despite a long history in quantitative research, it is only recently that enthusiasm for secondary analysis of qualitative data has gained momentum across health and social science disciplines. Given that researchers have long known the inordinate amount of time and energy invested in conducting qualitative research, the appeal of secondary analysis of qualitative data is clear. Involving the use of an existing dataset to answer research questions that are different from those asked in the original study, this method allows researchers to once again make use of their hard-earned qualitative dataset and to listen to their participants’ voices to the best of their ability in order to improve care and promote understanding. As secondary qualitative data analysis continues to evolve, more methodological guidance is needed. This book outlines three approaches to secondary data analysis and addresses the key issues that researchers need to wrestle with, such as ethical considerations, voice, and representation. Intellectual and interpretive hazards that can jeopardize the outcome of these analyses are highlighted and discussed, as are the criteria for assessing their quality and trustworthiness. Written as a thought-provoking guide for qualitative researchers from across the health and social sciences, this text includes a review of the state of the science in nursing and a number of in-depth illustrative case studies.

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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.

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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.

Book Description :

This book provides ten case studies with concise real-world examples illustrating how MAXQDA is used in practice. In each research example, the authors present their way of using MAXQDA, addressing a variety of practical questions, such as how the coding system was developed, how coded documents were analyzed, what tools were used, and how those tools informed the results. Embedded in the context of each research example, readers can follow analytical processes step-by-step and gain insights into efficient ways to use MAXQDA. Readers can benefit from this book in several ways: - Get inspirations and solutions for their own projects - Avoid pitfalls by considering the lessons learned from each author presented at the end of each chapter - Use the examples in teaching Audience: - All researchers who want to get to learn the potential of qualitative data analysis with MAXQDA - All users of MAXQDA who want to expand their knowledge and skills, no matter if they are novices or experts

Book Description :

This book presents strategies for analyzing qualitative and mixed methods data with MAXQDA software, and provides guidance on implementing a variety of research methods and approaches, e.g. grounded theory, discourse analysis and qualitative content analysis, using the software. In addition, it explains specific topics, such as transcription, building a coding frame, visualization, analysis of videos, concept maps, group comparisons and the creation of literature reviews. The book is intended for masters and PhD students as well as researchers and practitioners dealing with qualitative data in various disciplines, including the educational and social sciences, psychology, public health, business or economics.

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From two experts in the field comes an accessible, how-to guide that will help researchers think more productively about the relation between theory and data at every stage of their work. In Data Analysis in Qualitative Research, Iddo Tavory and Stefan Timmermans provide a how-to guide filled with tricks of the trade for researchers who hope to take excellent qualitative data and transform it into powerful scholarship. In their previous book, Abductive Analysis: Theorizing Qualitative Research, Timmermans and Tavory offered a toolkit for innovative theorizing in the social sciences. In this companion, they go one step further to show how to uncover the surprising revelations that lie waiting in qualitative data—in sociology and beyond. In this book, they lay out a series of tools designed to help both novice and expert scholars see and understand their data in surprising ways. Timmermans and Tavory show researchers how to “stack the deck” of qualitative research in favor of locating surprising findings that may lead to theoretical breakthroughs, whether by engaging with theory, discussing research strategies, or walking the reader through the process of coding data. From beginning to end of a research project, Data Analysis in Qualitative Research helps social scientists pinpoint the most promising paths to take in their approach.

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Critical Theory and Qualitative Data Analysis in Education offers a path-breaking explanation of how critical theories can be used within the analysis of qualitative data to inform research processes, such as data collection, analysis, and interpretation. This contributed volume offers examples of qualitative data analysis techniques and exemplars of empirical studies that employ critical theory concepts in data analysis. By creating a clear and accessible bridge between data analysis and critical social theories, this book helps scholars and researchers effectively translate their research designs and findings to multiple audiences for more equitable outcomes and disruption of historical and contemporary inequality.