I found the shift in how data is analyzed as a result of the influence of technology to be most relevant to my work as a scholar. Mishra, Koehler, and Greenhow (2015) discuss computer-assisted qualitative data analysis in terms of analyzing large amounts of qualitative data. This is relevant to me as a scholar because I use one of these software programs, NVivo, to code video data for my advisor’s research project. Mishra, Koehler, and Greenhow (2015) note that a common challenge qualitative research is the careful and complex management of large amounts of data and argue that programs like Nvivo are invaluable in affording researchers “greater efficiency and consistency in systematic data management” (p. 35). Indeed, our project involved coding 160 hours of video data. Using Nvivo, we were able to watch video directly within the program, select video segments, and code them. Two researchers did this and we were able to run an inter-rater reliability check using Nvivo. This transformed the way we code video data in that if there is ever a question about coding, we can open up the video file and see which segments were coded and how they were coded. We don’t need to fast forward through tons of video to try and locate one small segment. As such, these shifts in data analysis is especially relevant to me and my experience with Nvivo provides support for Mishra, Koehler, and Greenhow’s (2015) statement that this technology allows for greater efficiency and consistency.
Hi Kimberly,
I too have used the program “Nivivo 10” for use in coding video data. While I agree that the technological affordances of the Nvivo program offer the ability manage and code data more efficiently than in the past, I wonder if you see any room for improvement in the way qualitative data is managed by these new programs? You also mention computer-assisted qualitative data analysis. Does this mean that some qualitative data may be automatically coded? After experiencing the difficulty of two human coders attempting to reach inter-rater reliability, I am a bit skeptical of the ability for some qualitative data to be automatically coded. What are your thoughts on the extent to which technology may assist in the coding of qualitative data?
Hi Kimberly, I really like your example. I think the capacities that we now have to analyze data (and indeed even *gather* data in new forms such as ESM!) might help change theories and inform practice. It also increases rigour and reliability and leads to practices like ‘open data’. I also like Matthew’s question. This is something that was talked about at SITE actually, but I’m sad to have missed the panel discussion. Machine coding is apparently fast approaching human coding, with IRR between two humans similar to machine-human. So, in terms of analyzing big data in the future, I do think there’s room for improvement. Here’s the paper that mentions this for reference:
Kimmons, R., Veletsianos, G., & Woodward, S. (2017). Institutional uses of Twitter in US higher education. Innovative Higher Education, 42(2), 97-111.
Hi, Kimberly. Thanks for sharing your interesting experiences with NVivo, as an example of computer-assisted data analysis. That sounds like time-consuming and interesting work.
The prompt asked you to relate Mishra, Koehler and Greenhow (2015) to your evolution as a scholar. Mentioning your work for your advisor is fine, but I’m curious about your plans for your own future research. How would you like to use NVivo and other tools to advance your own personal agenda as a scholar?
Also, I’m curious about what you are studying with your advisor. What is on all those hours of video?
Thanks very much again for telling us about how NVivo is making it easier for your team to analyze lots of video data.
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