Qualitative data analysis : practical strategies

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 . 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. Content: Preparing the way : laying the foundations for analysis: Foundations for thinking and working qualitatively Designing for analysis Managing and preparing data for analysis -- Working with data : a pathway into analysis: Data samples : becoming and being a researcher Read, reflect, and connect : initial explorations of data Codes and coding : principles and practice Naming, organising, and refining codes Alternative approaches to breaking open and connecting data -- Describe, compare, and relate : moving on from codes and themes: Describing, evolving, and theorising concepts Comparative analyses as a means of furthering analysis Relational analyses -- Bringing it together : moving toward climax and closure: If ... then ... is it because? : developing explanatory models and theories Developing coherent understanding Defending and extending : issues of quality and significance. A one-stop-shop for anyone who has collected, or is about to collect, data. The definitive step-by-step guide to qualitative data analysis, this is full of practical strategies from a world renowned researcher.