Diagram Dilemmas
In this session, our discussion focused on how we can present our research findings visually.
Many of our Ph.D. projects are aimed at developing a theory, identifying a process, or exploring relationships. We all appreciate the value of a good diagram or two but sometimes it can be difficult to translate your own understanding of your data into a useful visual depiction.
During the session, one final year Ph.D. student described her developing theory to the group and welcomed suggestions as to how this might be best represented in a diagram. This lead to a broad discussion of good (and bad) diagrams throughout academic literature. The group pointed to their knowledge of useful diagrams, such as, behaviour change models, the integrated motivational-volitional model, recovery process models, etc. Particular quantitative statistical techniques can lead to nifty diagrams (e.g. structural equation modelling) while qualitative analysis may rely on the creative nature of the researcher to develop an accurate visual representation of the data.
Thanks to this session, the Ph.D. student was able to reflect on her options and create a series of clear, informative diagrams for her thesis.
Example of diagram from qualitative study:
Koruth, Nevison, &Schwannauer (2012) A Grounded Theory Study Exploration of the Onset of Anorexia in Adolescence. European Eating Disorders Review, 20(4), 257-264.
Example of diagram from quantitative study:
