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![Coding in qualitative research Coding in qualitative research](/uploads/1/2/7/2/127265004/209822221.jpg)
The Qualitative Data Analysis Program (QDAP): Accurate and reliable coding (or labeling) using humans and machines is central to both the qualitative research and the #bigdata text analytics process. For new and experienced researchers, learning advanced project management skills adds hours of struggle. Since 2005, Qualitative Data Analysis Program (QDAP) coders and project managers have delivered large-scale, high value-added, reliable and accurate annotated text data in a timely and expert manner. The QDAP approach to qualitative research grows out of more than a decade of working on projects funded by the National Science Foundation, the National Institutes of Health, DARPA, the Smithsonian and others. Our combination of software, methods, experience, and novel forms of text analytics measurement present a uniquely scientific research support offering with applications across the disciplines.
Award-Winning, Free, Web-based, Open Source Software:The Coding Analysis Toolkit (CAT), winner of the 2008 'Best Research Software' award from the Information Technology & Politics section of the American Political Science Association, is now available as open source software. Download the CAT Quick Start Guide or the latest source code.
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Text Analytics: An @Scoop.it! site curated by QDAP Director Stu Shulman.
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Rigor and Flexibility in Research: An overview of the QDAP/CAT approach.