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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.
Through the use of real-life social science examples, this book walks upper-division undergraduate to graduate students through the steps of collecting and analyzing qualitative data. Rather than cover data collection in separate chapters isolated from analysis techniques, the authors pair each data collection technique with the appropriate analytic method. The authors first cover word-based techniques (such as KWIC, word counts, componential analysis, taxonomies, mental maps, and semantic networks.) They next cover discovery techniques (grounded theory, schema analysis, sequential analysis, and analytic induction) followed by confirmatory techniques (tables and matrices, classic content analysis, content dictionaries, and ethnographic decision modeling.) In the last section of the book, the authors tackle philosophical issues related to sampling, reliability and validity as well as how to select the appropriate software. Carefully crafted exercises will provide readers with experiences for practicing the concepts in each chapter. This book will provide readers with not only the most complete information on doing qualitative collection and analysis, but a guide to selecting among the complete variety of qualitative techniques.
Congratulations to H. Russell Bernard, who was recently elected as a member of the National Academy of Sciences "This book does what few others even attempt—to survey a wide range of systematic analytic approaches. I commend the authors for both their inclusiveness and their depth of treatment of various tasks and approaches." —Judith Preissle, University of Georgia "I appreciate the unpretentious tone of the book. The authors provide very clear instructions and examples of many different ways to collect and analyze qualitative data and make it clear that there is no one correct way to do it." —Cheryl Winsten-Bartlett, North Central University "The analytical methodologies are laid out very well, and I will definitely utilize the book with students regarding detailed information and steps to conduct systematic and rigorous data analysis." —Dorothy Aguilera, Lewis & Clark College This book introduces readers to systematic methods for analyzing qualitative data. Unlike other texts, it covers the extensive range of available methods so that readers become aware of the array of techniques beyond their individual disciplines. Part I is an overview of the basics. Part II comprises 11 chapters, each treating a different method for analyzing text. Real examples from the literature across the health and social sciences provide invaluable applied understanding.
Research Methods in Anthropology is the standard textbook for methods classes in anthropology. Written in Russ Bernard's unmistakable conversational style, his guide has launched tens of thousands of students into the fieldwork enterprise with a combination of rigorous methodology, wry humor, and commonsense advice. Whether you are coming from a scientific, interpretive, or applied anthropological tradition, you will learn field methods from the best guide in both qualitative and quantitative methods.
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.
The Third Edition of Miles & Huberman's classic research methods text is updated and streamlined by Johnny Saldaña, author of The Coding Manual for Qualitative Researchers. Several of the data display strategies from previous editions are now presented in re-envisioned and reorganized formats to enhance reader accessibility and comprehension. The Third Edition’s presentation of the fundamentals of research design and data management is followed by five distinct methods of analysis: exploring, describing, ordering, explaining, and predicting. Miles and Huberman's original research studies are profiled and accompanied with new examples from Saldaña's recent qualitative work. The book's most celebrated chapter, "Drawing and Verifying Conclusions," is retained and revised, and the chapter on report writing has been greatly expanded, and is now called “Writing About Qualitative Research.” Comprehensive and authoritative, Qualitative Data Analysis has been elegantly revised for a new generation of qualitative researchers.
This book provides step-by-step instructions on how to analyze text generated from in-depth interviews and focus groups, relating predominantly to applied qualitative studies. The book covers all aspects of the qualitative data analysis process, employing a phenomenological approach which has a primary aim of describing the experiences and perceptions of research participants. Similar to Grounded Theory, the authors' approach is inductive, content-driven, and searches for themes within textual data.

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