I wrote months about about my plans to work through a project - start to finish - in Dedoose. That project ended up being put 'on hold' but I did code many open response items from a survey in Dedoose, and very recently restarted on some old work.
A program like this is pretty well unbeatable for something like a survey with one or a few open response items - especially when a lot of brief excerpts cover moderately to highly repetitive subject matter (aha - saturation! - see previous post). In the instance of this open response item, I did a lot of counting (actually Dedoose did a lot of counting) and managed to find only a small number of unique responses. I began with a nearly complete a priori code list (the open responses were very similar to the choices given on the fixed response portion of the survey). The few codes I added included a combination item (called 'multiple factors working together') and a code that was so primary in the process the research team was exploring that it was not even contemplated for the survey. That in itself is interesting and meaningful but is a story for another day. Maybe the greatest advantage of working through the open response items was that it increased my comfort with Dedoose a great deal. I still have some problems in (physically) capturing more 'data' in a code than I'd like (usually I get extra empty space, not extra words), and it does not 'quick code' exactly the same way as NVivo - that I have used quite a bit more - but I still think the project sharing feature of this web-based software elevates it miles above the alternatives. It is also pretty cost effective. I'm still not using Dedoose (or any CAQDAS) for inductive/open first cycle coding due to the length and number of codes I create at that stage. I am doing second cycle - of the first cycle codes - and I think I'll end up working both up (combining second cycle to categories) and down (creating some lower level codes out of the second cycle codes) after this stage is over. The bottom line, I think, is that we all need to find a way to make the software work with our process, rather than the other way around. I continue to be concerned when new researchers are trained on software first, analysis, design, etc. later if at all - and this applies to quan as well as qual. Visit and learn about Dedoose
1 Comment
2/18/2024 09:27:49 pm
3D avatars are digital representations of individuals or characters created using advanced computer graphics technology. These avatars can be customized to resemble specific individuals or designed from scratch for various purposes, including gaming, virtual reality environments, digital marketing, and animation. With intricate detailing and lifelike animations, 3D avatars offer immersive experiences across different platforms. They enhance user engagement, enable personalized interactions, and serve as dynamic elements in digital environments, shaping the future of virtual communication and entertainment.
Reply
Leave a Reply. |
AuthorI am Sheryl L. Chatfield, Ph.D, C.T.R.S. I am a member of the faculty in the College of Public Health at Kent State University. I also Co-coordinate the Graduate Certificate in Qualitative Research and I am a member of the Design Innovation Team at Kent State. Archives
February 2024
Categories
|