Qualitative Data Analysis Program (QDAP) Home Page - University of Pittsburgh - Personnel & Coding Tools for Text Content Analysis Research

From biomedical, public health, and educational research, to studies in the behavioral, computational, and social sciences, effective qualitative data analysis plays a critical role. Accurate and reliable coding using computers is central to the content analysis process. For new and experienced researchers, learning advanced project management skills adds hours of struggle in trial-and-error sessions. Experienced coders and project managers can deliver the data you need in a timely and expert manner. For this reason, we have created the Qualitative Data Analysis Program (QDAP) at the University of Pittsburgh’s University Center for Social and Urban Research (UCSUR). Drawing on a unique blend of expertise in qualitative data analysis and tool-building, ongoing collaboration with computer, health, and social scientists, as well as several years of NSF-funded research, QDAP offers a rigorous approach to analyzing text and managing coding projects.

New: Beta test our new blog scraping tool (the Blog Analysis Toolkit) that creates archives of CAT-ready blog posts.
Recent: Download sample raw data to code using the Coding Analysis Toolkit (CAT). See an updated version (new as of March 26, 2008) of the CAT tutorial, an ATLAS.ti merge tutorial, and a primer on ATLAS.ti (.pdf) (.doc).
Winter '07/'08 News: QDAP employs coders fluent in Spanish, Portuguese, French, Japanese, German, Chinese, Italian, Russian, German, and Polish.

Fall '07 News: The Coding Analysis Toolkit (CAT v 1.0) is launched. You can watch a narrated slide show (updated April 14, 2008) about the origin of CAT online. There are now some early beta tester reviews of CAT.

Summer '07 News: QDAP is a part of three new National Science Foundation grants to work on human language technologies, issue networks, and multilateral treaty-making.

QDAP
"the smart way to code text"