Susanne Friese: Qualitative Data Analysis with ATLAS.ti – Third Edition
(The 20% discount is applied automatically at the end of the checkout process.)
Info about the Third Edition
Now updated to cover latest versions and featuring instructions for both Mac and Windows users, this book is still the go-to source of support for getting to grips with qualitative data analysis using ATLAS.ti.
With over twenty years of experience using, developing, and teaching ATLAS.ti, Susanne Friese is the perfect data analysis tour guide. Aware of common challenges and sticking points, she eases readers from readying and organizing data into coding and querying it, providing not only tips on how to prepare for analysis, but also the tools and technical know-how needed to observe, examine, and discuss data. Placing quick software ‘skills training’ tutorials alongside different stages of the data analysis process, she gives readers the opportunity to integrate software training with their actual analysis.
What you can find in the book
Are you struggling to get to grips with qualitative data analysis? Do you need help getting started using ATLAS.ti? Do you find software manuals difficult
to relate to?
Written by the leading expert on ATLAS.ti, this book will guide you step-by-step through using the software to support your research project. In the updated THIRD EDITION edition of the leading textbook about ATLAS.ti, you will find clear, practical advice on preparing your data, setting up a new project in ATLAS.ti, developing a coding system, asking questions, finding answers and preparing your results.
This new edition has been updated specifically for ATLAS.ti 8 and covers both the Windows and Mac versions.
• Methodological as well as technical advice
• Numerous practical exercises and examples
• Screen shots showing you each stage of analysis in version 8 of ATLAS.ti. If you are a Mac user, you find all instructions on the companion website.
• New sections on various methodological approaches.
• A new chapter on team work and inter-coder agreement analysis.
• A full glossary of terms on the companion website.
• A companion website with online tutorials and a number of data sets to practice with, a glossary of terms, workbook for students and PowerPoint slides for each chapter.
Susanne Friese provides training and consultancy for ATLAS.ti at the intersection between developers and users, teaches qualitative methods at various PhD schools and works on advancing computer-assisted qualitative methods at the Max-Planck Institute Göttingen.
Susanne Friese has produced an up to date, must-read guide full of useful information for students and early-career researchers considering using ATLAS.ti for data analysis. Read this book and learn about computer assisted NCT from the best.
Jennifer Coe, Psychology, University of Suffolk
This is a wonderful, easy to read and pragmatic introduction to using one of the most frequently used and best developed software packages in qualitative research at all levels. At the same time, it introduces to a method of data analysis of its own right for people who are still on their journey to acquire a deeper understanding of software assisted qualitative research or social research in general, while not promising full salvation in handling data without further in-depth study of overall social research methodology and more specific methods. The book can help software users and data handlers far beyond just academic work context, but also in more professional areas such as data/information management, library work, criminalist practice, data mining – or simply for people who want to process lots of information for reading or professional writing. With every sentence, you feel the author has developed the book out of a long standing practice of teaching the same subject matter to people directly all-over the world – with a sense of humour and user needs.
Peter Stegmaier, University of Twente
This book provides an informative guide for students, researchers and educators to uncover and systematically analyze complex phenomena hidden in unstructured data. It provides analytical and visualization tools designed to open new interpretative views on qualitative data.
Nashwa Ismail, Education, Open University