This event is suitable for anyone with an interest in survey mode effects and their handling, including survey methodologists, survey practitioners, and analysts of mixed-mode survey data across all disciplines.

3. A systematic review of the experimental literature on mode effects (@georgiatomova.bsky.social a, UCL)

4. Adaptive mixed-mode survey design (Barry Schouten, Statistics Netherlands)

Presentations:

1. Viewing survey mode effects through the lens of causal directed acyclic graphs (@rjsilverwood.bsky.social , UCL)

2. Methods for handling survey mode effects (Liam Wright, UCL)

Surveys are increasingly adopting mixed-mode designs (e.g. face-to-face, telephone, web, video). Due to differences in how items are presented, responses can differ systematically between modes (“mode effects”). Unaccounted for, mode effects can introduce bias in analyses of mixed-mode survey data.

(With apologies to all my wonderful colleagues and collaborators, inspiring fellow speakers and heroic conference organisers who were overlooked in my sole ESRA post in favour of a weak Olivia Rodrigo/architecture joke.)