Description
Book SynopsisOffering immensely practical advice,
Basics of Qualitative Research, Fourth Edition presents methods that enable researchers to analyze, interpret, and make sense of their data, and ultimately build theory from it. Authors Juliet Corbin and Anselm Strauss (late of the University of San Francisco and co-creator of grounded theory) walk readers step-by-step through the research processfrom the formation of the research question through several approaches to coding, analysis, and reporting. Packed with definitions and illustrative examples, this highly accessible book concludes with chapters that present criteria for evaluating a study, as well as responses to common questions posed by students of qualitative research. New end-of-chapter Insider Insights contributed by qualitative researchers give readers a sense of what it's like to work in the field. Significantly revised, this
Fourth Edition remains a landmark volume in the study of qualitative methods
Trade Review"The subject of the book is timely, important, and relevant. The content is laid out in a logical and organized manner and written in a style that is easy to understand."
-- Mahesh S. Raisinghani, Texas Woman’s University
"[This book] provides an overview as well as depth into some of the techniques used in Grounded Theory studies, from the formation of research questions on through how to disseminate the work. A beginning researcher wanting to conduct a Grounded Theory study would find parts of this book helpful."
-- Kathryn Pole, University of Texas at Arlington
Table of ContentsPart I: Introduction to Grounded Theory of Anselm Strauss Chapter 1: Inspiration and Background Chapter 2: Theoretical Foundations Chapter 3: Practical Considerations for Getting Started Chapter 4: Prelude to Analysis Chapter 5: Strategies for Qualitative Data Analysis Chapter 6: Memos and Diagrams Chapter 7: Theoretical Sampling Chapter 8: Context Chapter 9: Process Chapter 10: Techniques for Achieving Theoretical Integration Chapter 11: The Use of Computer Programs in Qualitative Data Analysis Part II: Research Demonstration Project Chapter 12 Open Coding: Identifying Concepts Chapter 13: Developing Concepts in Terms of Their Properties and Dimensions Chapter 14: Analyzing Data for Context Chapter 15: Bringing Process Into the Analysis Chapter 16: Integrating Categories Part III: Finishing the Research Project Chapter 17: Writing Theses, Monographs, and Dissertations, and Giving Talks About Your Research Chapter 18: Criteria for Evaluation Chapter 19: Student Questions and Answers
