Using Software in Qualitative Research: A Step-by-Step Guide (2nd Revised edition)

Using Software in Qualitative Research: A Step-by-Step Guide (2nd Revised edition)

By: Ann Lewins (author), Christina Silver (author)Paperback

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Description

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: ATLAS.ti DEDOOSE HyperRESEARCH MAXQDA NVivo QDA Miner TRANSANA Ann Lewins and Christina Silver are leading experts in the field of CAQDAS and have trained thousands of students and researchers in using software. Reading this book is like having Ann and Christina at your shoulder as you analyse your data!

About Author

Christina graduated from Essex University in 1997 in Politics and Sociology, after which she came to Surrey and completed the Social Research Methods M.Sc. with distinction and she obtained her ESRC funded PhD comparing the development of school-based sex education in England and Wales and the Netherlands in 2002. Christina has been working with the CAQDAS Networking Project on an ad hoc basis since 1998 and joined the Project formally in 2002 as part-time Resource Officer and Course Tutor. She is now the CAQDAS Networking Project Manager. The Project provides platforms of debate concerning the use of Computer Assisted Qualitative Data AnalysiS (CAQDAS). We train students and researchers in a number of CAQDAS packages, run an advisory telephone help-line, website, the 'qualitative software' electronic discussion list and develop and teach new courses. Christina also advises and trains research teams on their use of CAQDAS software. The CAQDAS Networking Project is currently working on a new project funded by the ESRC National Centre for Research Methods (NCRM). Qualitative Innovations in CAQDAS (QUIC) explores three new breaking developments in the use of CAQDAS alongside our training and capacity building activities. The first concerns the support that software provides for integrating qualitative and quantitative data, the second the analysis of multi-stream visual data and the third the convergence of GIS and CAQDAS technology. We are developing exemplars and self-learning materials. As well as working with the CAQDAS Networking Project, Christina has been commissioned to carry out research projects for a number of independent organisations including a collaborative Action Research Project between East Sussex Hospitals NHS Trust, the Centre for the Development of Health Care Policy and Practice (CDNPP) at Leeds University and the Facilities Management Graduate Centre (FMGC) at Sheffield Hallam University. Christina is also an Associate Consultant for the Centre for the Development of Nursing Policy and Practice (CDNPP) at Leeds University. Visit Christina's Qualitative Data Analysis Services site here

Contents

Introduction Qualitative Data Analysis and CAQDAS The Nature of Software Support for Research Projects Software Summaries 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

Product Details

  • ISBN13: 9781446249734
  • Format: Paperback
  • Number Of Pages: 384
  • ID: 9781446249734
  • weight: 28
  • ISBN10: 1446249735
  • edition: 2nd Revised edition

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