When qualitative research moves from theory to practice, many students are left to work things out on their own. Doing Qualitative Research, Seventh Edition fills that gap. Drawing on decades of teaching and supervision, David Silverman writes as a supervisor in print - guiding students through the real decisions, setbacks, and breakthroughs required to take a qualitative research project from start to finish.
The book focuses on the issues that most often cause projects to stall, from topics that are too broad and poorly chosen methods to ethics hold-ups and uncertainty about analysis. Real student examples show how experienced researchers spot problems, rethink their approach, and get back on track. By bringing analysis and writing in from the start, the book helps students build confidence and keep moving forward.
New to this edition is a clear, balanced discussion of AI in doing data analysis, being original and getting published. The aim is to help students understand when AI may be useful - and when it is not.
This is essential reading for undergraduate and postgraduate students undertaking independent qualitative research projects.
PART 1: INTRODUCTION
Chapter 1: How To Use This Book
Chapter 2: What You Can (and Can't) Do with Qualitative Research
Chapter 3: Focusing a Research Project
PART 2: STARTING OUT AND PROJECT FOUNDATIONS
Chapter 4: Formulating a Research Question
Chapter 5: Ethical Research
Chapter 6: Research Design
Chapter 7: Using Theories
Chapter 8: Choosing a Methodology
Chapter 9: Writing a Research Proposal
PART 3: GETTING SUPPORT
Chapter 10: Making Good Use of Your Supervisor
Chapter 11: Getting Feedback
PART 4: COLLECTING AND ANALYSING DATA
Chapter 12: How much data do you need?
Chapter 13: Collecting Your Data
Chapter 14: Developing Data Analysis
Chapter 15: Using Qualitative Data Analysis Software: An Introduction
Chapter 16: Quality in Qualitative Research
Chapter 17: Effective Qualitative Research
PART 5: WRITING UP YOUR RESEARCH
Chapter 18: What Counts as 'Originality'?: From Plagiarism to ChatGPT
Chapter 19: Audiences
Chapter 20: The First Few Pages
Chapter 21: Your Literature Review Chapter
Chapter 22: The Methodology Chapter
Chapter 23: Writing Your Data Chapters
Chapter 24: Your Concluding Chapter
PART 6: THE AFTERMATH
Chapter 25: Managing an Oral Examination
Chapter 26: Getting Published
