Using Software in Qualitative Research is an essential introduction to the practice and principles of Computer Assisted Qualitative Data Analysis (CAQDAS). The book will help you to choose the most appropriate package for your needs and get the most out of the software once you are using it.
This book considers a wide range of tasks and processes in the data management and analysis process, and shows how software can help you at each stage. In the new edition, the authors present three case studies with different forms of data (text, video and mixed data) and show how each step in the analysis process for each project could be supported by software.
The new edition is accompanied by an extensive companion website with step-by-step instructions produced by the software developers themselves. Software programmes covered in second edition include the latest versions of:
Christina Silver, PhD, is a qualitative researcher and teacher of all the major CAQDAS packages, including ATLAS.ti, Dedoose, MAXQDA, QDA Miner, Qualrus, NVivo, and Transana. She manages the CAQDAS Networking Project, based at the University of Surrey, UK. The project provides information, advice, training, and ongoing support in different software programs designed to facilitate qualitative and mixed-methods analysis. Christina also undertakes research, training, and consultancy via her consortium Qualitative Data Analysis Services Ltd. and is the coauthor, with Ann Lewins, of Using Software in Qualitative Research: A Step-by-Step Guide (SAGE Publications, 2014). Christina has trained thousands of researchers and students to use qualitative software since 1998. Her textbooks coauthored with Nick Woolf, Qualitative Analysis Using ATLAS.ti/MAXQDA/NVivo: The Five-Level QDA® Method, were published by Routledge in 2018.
Qualitative Data Analysis and CAQDAS
The Nature of Software Support for Research Projects
Data and Their Preparation for CAQDAS Packages
Early Steps in Software: Practical Tasks and Familiarisation
Exploration and Data-level Work
Qualitative Coding in Software: Principles and Processes
Basic Retrieval of Coded Data
Working with Coding Schemes
Managing Processes and Interpretations by Writing
Mapping Ideas and Linking Concepts
Organising Data by Known Characteristics
Interrogating the Dataset
Convergence, Closeness, Choice