Angus, Rintel, & Wiles (2013, p.265) note that “[s]ocial research methodology that uses visual-first analytic methods is still in its infancy”. We aim to further this field by developing novel social research methodologies that use empirically built visuals, provide new insights on qualitative (text-based) data while minimizing observer bias. Our methodologies are made available as soon as possible to the research community and broader public to allow for continual application and improvement of the methods and techniques involved, hopefully leading to new methodologies that best capture and synthesize ideas and innovations from on-line conversations.
The Newell-Dale Conversation Modeling Technique (NDCMT) was designed for in-depth analysis of e-Dialogue conversations. NDCMT creates a visual model of a an e-Dialogue that draws connections between emergent ideas and broader themes. The model components are plotted along an axis to show when ideas emerged and for how much of a conversation ideas were discussed. The model allows a researcher to gain a greater understanding of conversational themes, allowing for a more thorough anaylsis of patterns and flows.
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Angus, D., Rintel, S., & Wiles, J. (2013). Making sense of big text: a visual-first approach for analysing text data using Leximancer and Discursis. International Journal of Social Research Methodology, 16(3).