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This text provides a comprehensive overview of the history and advantages of Computer-Assisted Qualitative Data Analysis Software (CAQDAS). It covers the origins of CAQDAS, text analysis methods, and the development of dedicated programs. The text also explores debates surrounding CAQDAS and highlights its key functions such as inputting and coding various file formats, retrieval, examining coded text, memoing, and creating diagrams.
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Origins • Text analysis • General Inquirer (content analysis) • Word processors and desktop computers 1984 onwards • Dedicated programs - Code-and-retrieve • The Ethnograph • Hypersoft
Code-and-retrieve • Coding - mark text with code • Code list • Retrieve - show all text coded the same way. • Some complex retrievals - text coded with two codes.
Command line vs WIMP • Command line e.g. ‘Moveto 4,41’ • Complaints • Hard to use • Remote from data • WIMP = Windows, icon, menu, pointer. • Made use much easier
Current best selling programs • NVivo • Atlas.ti • MAXQDA • HyperRESEARCH • QDAMiner • But still small companies cf. Microsoft. • NVivo sold 400,000, vs Millions for Office
New functions – Theory Building • Memos • Search (text and codes) • Charts • Link with quants data • Textual analysis tools • Relations • Word and pdf documents • Images, video and audio • GIS
Debates about CAQDAS • Distant from data • Too easy to move to quantify • Dominance of code and retrieve • Vs narrative thread • Vs postmodern variation • Fragmentation and decontextualisation • Coding loses interaction in focus groups • Needs time and resources to learn
Advantage of CAQDAS • Faster and more efficient • Helps explanations (eg. Use face sheet data) • Supports transparency • Code trees encourage looking at connections • Avoids anecdotalism - can check frequency
Key functions • Input rtf/doc/pdf and display • Code schemes – some hierarchical • Retrieval • Examine coded text • Memoing • Diagrams