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Coding qualitative data – why, why not, and how to do it well
This workshop will progress quickly from first principles of coding to more advanced issues and techniques. It will include an overview of key qualitative data analysis software functions, and the fundamentals of constant comparison. We will consider the risks you need to guard against when coding (including resisting temptations to be busy but not usefully analytical). We will look at real data together and explore the use of codebooks alongside issues like units of coding (sentences, paragraphs?), exclusive and double coding etc. At the heart of coding well lie the often overlooked questions: What am I coding for? Where do I think coding will take me in my analysis?  Prior to the workshop, participants should:   1. Identify a key text they are using to guide their coding, and have to hand (digital copy is fine) a key page or short section from it that they can refer to and share (focusing on the rules, mechanics, processes for coding). And 2. Prepare an excerpt of data that you have coded, are coding, or are intending to code. It should be 750 words or so. Choose 3 codes that you might want your peers to look for in that extract, and briefly define them at the top of the page so they can use those definitions (do not show any coding you have already done). Anonymise if necessary.  06/04/23, 3 hrs, 1000- 1300 AEST.  Presented by - Nick Hopwood, University of Technology Sydney.

Apr 6, 2023 10:00 AM in Canberra, Melbourne, Sydney

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