Roberts, Erin, Thomas, Merryn, Henwood, Karen ORCID: https://orcid.org/0000-0002-4631-5468 and Pidgeon, Nick
2024.
Using creative mapping methods to analyse multimodal data.
Kara, Helen, Mannay, Dawn and Roy, Alastair, eds.
The Handbook of Creative Data Analysis,
Policy Press,
pp. 285-298.
(10.51952/9781447369592.ch020)
|
Abstract
Mapping and map making are creative methodologies that are widely used in both quantitative and qualitative research practice. Whether cartographical or metaphorical in form, maps are powerful multimodal artefacts that are rich resources for communication (Clark, 2011; Powell, 2016). Their ability to visually communicate complex information in an accessible manner has made maps and map making an invaluable part of many an academic’s methodological toolbox. While they are often used for research dissemination, whether to demonstrate the process of research in flow charts or to provide visuals to communicate findings, far less attention has been paid to the use of mapping as an analytic technique, with the notable exception of McKinnon and McCallum Breen (2020). This is rather perplexing, not least because creative and multimodal methods have gained much traction among qualitative researchers since around the mid-1990s, but also because by their very nature – that is, being inherently multimodal – maps of various kinds are seemingly well positioned to aid researchers in their efforts to organise and make sense of multimodal materials. As such, this chapter sets out to explore how mapping in its various forms can be used to make sense of data generated from the use of creative methods in interpretive research.
| Item Type: | Book Section |
|---|---|
| Date Type: | Publication |
| Status: | Published |
| Schools: | Schools > Social Sciences (Includes Criminology and Education) |
| Publisher: | Policy Press |
| ISBN: | 9781447369561 |
| Last Modified: | 04 Dec 2025 14:30 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/182915 |
Actions (repository staff only)
![]() |
Edit Item |





Dimensions
Dimensions