In this paper, we share our approach and the process for qualitative analysis of online video data recorded during an after-school robotics program that emphasized computational thinking (CT). Online research strategies may be necessary for various reasons such as when working with a geographically distributed research team, when conducting research with students in an online program, or when resources are inaccessible due to campus closures like those experienced during the COVID-19 pandemic. We followed a three-stage process during qualitative analysis of the videos that included planning and setup, online analysis of videos, and structural coding of memos to explore patterns across the data. Analysis was conducted with a combination of technologies including Google Drive for collaborative coding online and NVivo to collate and summarize findings. The methods and process we describe are readily applicable to other research studies that include video as part of the data set.
Copyright 2021: Chareen Snelson, Dazhi Yang, Torrence Temple, and Nova Southeastern University.
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.
Snelson, Chareen; Yang, Dazhi; and Temple, Torrence. (2021). "Addressing the Challenges of Online Video Analysis in Qualitative Studies: A Worked Example from Computational Thinking Research". The Qualitative Report, 26(6), 1974-1988. https://doi.org/10.46743/2160-3715/2021.4734