http://www.screencast.com/t/gTJ2DsPQv5 In this Screencast I talk about the methods we developed over 10 years and with the support of $4m in NSF funding for interdisciplinary teams involving computer science, political science, education, statistics and sociology. In particular, see slides 6 & 7 in the presentation. I would also point to a 3-part series of blog posts on the "QDAP Method": http://blog.texifter.com/index.php/2011/05/10/coding-text-using-the-qdap-met... http://blog.texifter.com/index.php/2011/05/14/coding-text-part-two/ http://blog.texifter.com/index.php/2011/05/17/coding-text-part-three/ Much of this QDAP work is still firmly tied to the foundational free, open source, Web-based application known as the Coding Analysis Toolkit (CAT), where more than 2,500 users have uploaded over 7,500 datasets to code text, measure inter-rater-reliability, and adjudicate the validity of coder choices.: http://cat.ucsur.pitt.edu/ CAT was originally a utility for users of ATLAS.ti who wanted to measure inter-rater-reliability and it grew organically into a free toolkit used by many graduate students around the world to develop, refine and test human annotation schemes. On Tue, Oct 25, 2011 at 4:05 AM, Seda Guerses <sguerses@esat.kuleuven.be>wrote:
i have a question about qualitative analysis methods. colleagues and i are studying different approaches to privacy within computer science. we want to analyze how they differ based on their implicit and explicit assumptions as well as their objectives. based on previous research, we already have some hypotheses about privacy research within computer science. in part of our study we want to use qualitative methods to inquire whether our hypotheses hold. we also plan to do content analysis to elicit further themes which may not be captured with our hypotheses. i am wondering if there are papers/books on qualitative analysis methods that could help us frame and design our study? it is not usual or accepted within my subfield of computer science to use qualitative methods, so all recommendations and tips are very welcome. thank you, s.
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