Pre-print on feature listing method to study food and drink representations

New pre-print on a feature listing method to study how people think about food and drink objects.  We are also creating a Shiny App to support the coding of feature listing data – watch this space!

Papies, E. K., Tatar, B., Keesman, M., Best, M., Lindner, K., Barsalou, L. W., Rusz, D., & Dutriaux, L. (2020). Measuring and interpreting cognitive representations of foods and drinks: A procedure for collecting and coding feature listing data. Under Review.


This entry was posted in Uncategorized. Bookmark the permalink.