Analyzing Qualitative Data With Maxqda

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.

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.

This book is a companion to the first volume of The Practice of Qualitative Data Analysis published in 2021. Volume 2 provides an additional nine case studies of real-world examples that illustrate how MAXQDA is used in actual research projects. Each chapter is organized to walk the reader through the research example, beginning with an introduction to the topic, a discussion of data collection and methodological approach, and a step-by-step description of how they used MAXQDA from start to finish, gaining insights into both efficient ways to use MAXQDA and innovative approaches they might not be aware of. Readers can benefit from this book in several ways: - Get inspirations and solutions for their own projects - Learn more about innovative methodological approaches - Avoid pitfalls by learning from the lessons offered by the authors at the end of each chapter - Draw insights from more than 120 screenshots that illustrate qualitative research in practice Audience: - All researchers who want to get to learn the potential of qualitative data analysis with MAXQDA - All MAXQDA users who want to expand their knowledge and skills, regardless of whether they are novices or experts

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.--

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.

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.

Using Software in Qualitative Research is an essential introduction to the practice and principles of Computer Assisted Qualitative Data Analysis (CAQDAS), helping the reader choose the most appropriate package for their needs and to get the most out of the software once they are using it. This step-by-step book considers a wide range of tasks and processes, bringing them together to demystify qualitative software and encourage flexible and critical choices and uses of software in supporting analysis. The book can be read as a whole or by chapters, building on one another to provide a holistic sense of the analytic journey without advocating a particular sequential process. Accessible and comprehensive, Using Software in Qualitative Research provides a practical but analytically-grounded guide to thinking about and using software and will be an essential companion for any qualitative researcher.

This book presents a simplified approach for analyzing qualitative data using the thematic data analysis process advocated by Saldaña (2015). The book is specifically designed for PhD, DBA, and EdD students pursuing research in the qualitative methodology. The book includes the Data Analysis Procedures and the Results sections from my published dissertation, which first used the approach discussed in the book. Despite its theoretical orientation, the book provides practical examples of specific steps students can take using the MAXQDA software to organize, prepare, and analyze their data. The book is divided into 3 parts. Part 1 discusses ways to handle and manage your qualitative data. Part 2 discusses the four-step thematic analysis process for analyzing your qualitative data. Part 3 is a copy of the Data Analysis Procedures and the Results sections from my published dissertation, which put the book into context for doctoral students.