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). QDAP offers a rigorous approach to analyzing text.

News: The Coding Analysis Toolkit received the "Best Research Software" award for 2008 from the Information Technology & Politics section of the American Political Science Association.
Changes: Donald Musa is serving as Interim Director of QDAP.

Spring '08 News: CAT will be released as open source software under a GPL within one year.
Updated CAT Tutorial: Watch a July 2, 2008 Screencast presentation on "New CAT Features".
Recent: Beta test our new blog scraping tool (the Blog Analysis Toolkit) that creates archives of CAT-ready blog posts or watch a quick start Blog Analysis Toolkit tutorial.
Download: Some sample raw data to practice coding using the Coding Analysis Toolkit (CAT). See the CAT tutorial, or an ATLAS.ti merge tutorial, and download a primer on using ATLAS.ti (.pdf) (.doc) as well as a step-by-step guide for merging ATLAS-coded data for upload to CAT (.doc) (.docx) (.pdf).

QDAP
"the smart way to code text"