Compare ATLAS.ti with other products and judge for yourself: Useful CAQDAS Book
We at ATLAS.ti may not be best suited to come up with an all-out comparison of available QDA software. But luckily, others have taken on this task. We encourage you highly to read the results of the most in-depth study of this type to date.
The most comprehensive book on qualitative software since Weitzman and Miles.
The new bible for qualitative researchers.
Ann Lewins and Christina Silver: Using Software in Qualitative Research: A Step-by-Step Guide. Sage Publications, London, 2007.
Already hailed as one of the most important publications re. qualitative software available, this books directly compares several QDA software packages side-by-side and under real-world conditions.
Visit this page and order the book to to read for yourself how strong ATLAS.ti comes out in relation to other software packages.
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ATLASti_Newsletter_2007-03.pdf Read an exclusive interview with Ann Lewins and Christina Silver about their study in INSIDE ATLAS.ti, the ATLAS.ti Newsletter. |
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Opinions about the Book
“The text is like having Ann or Christina at your shoulder guiding you through, explaining not only the practical steps, but why you might want to do something in the first place. A good marriage of methodological reflection and practical know-how.” (Duncan Branley, Goldsmiths, University of London)
“[The] authors have written a very helpful step-by-step guide, comparing different software packages, including ‘real research’ examples and proposing interesting tasks to the reader. This is a long awaited text book.” (Wilma C Mangabeira, Middlesex University)
Table of Contents:
- Processes and Tasks in Using Qualitative Software
- Data and Their Preparation for CAQDAS Packages
- Getting Started in Qualitative Software
- Exploration and Text-Level Work
- Qualitative Coding in Software
- Coding Schemes, Coding Frames
- Coding Tasks in Software
- Basic Retrieval of Coded Data
- Managing Processes and Interpretation by Writing
- Mapping Ideas and Linking Concepts
- Organizing Data to Known Characteristics
- Interrogating the Dataset
- Convergence, Closeness, and Choice
