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Founded in the fall of 2005, QDAP personnel code text from a wide variety of sources.  Original material for content analysis might include in-depth interviews, open-ended survey answers, field notes, transcripts from focus groups or Web logs (blogs), e-mails, Web site content, results from database searches (such as LexisNexisTM), congressional testimony or other historical texts, and a host of other unstructured but digitized text data sets.  QDAP employs University of Pittsburgh students and UCSUR professional staff trained in using ATLAS.ti.  ATLAS.ti is a PC-based workbench that supports project management, enables multiple coders to collaborate on a single project, and generates output that facilitates the analysis process.  QDAP is guiding the creation of tools available online to any ATLAS user to improve the accuracy, reliability, and validity of their coding project.  QDAP personnel will work closely with you to determine which coding strategy can identify all the information you need to reach solid evidence based inferences.

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