Dr Yuan Pan (Lecturer in Digital Infrastructures & Sustainability)

• March 11, 2026, 4-6pm
• MACADAM BLDG MAC 102 (Coding Lab)
• Audience: open to staff and PGR students in Faculty of Arts & Humanities
• Description: In social science and humanities research, Multiple Correspondence Analysis (MCA) allows researchers to map the "social space" of a population by treating categorical responses as coordinates in a multidimensional field. MCA is frequently applied to questionnaire data. This workshop introduces the application of MCA using the open-source R environment. We will move beyond simple correlation to examine the latent structures of questionnaire data. MCA is an important and transparent method for theory-driven induction and the visualisation of complex categorical interdependencies.
• Technical skills required:
  • Software Environment: A laptop with R and RStudio installed is required
  • Basic familiarity with the RStudio interface is expected. A code template will be provided, allowing participants to focus on the methodological interpretation of MCA rather than complex coding.
• After registration: please self-enroll on the Keats page for more info and resources: https://keats.kcl.ac.uk/course/section.php?id=2281106

Any questions? Please contact Workshop organizers Dr Erik Ketzan (erik.ketzan@kcl.ac.uk) and Dr Mark Gotham (mark.gotham@kcl.ac.uk)