Assuming Ordinality: Best-To-Worst Inferences in Vertical Lists

This research shows that when presented with an unnumbered vertical list of items, consumers assume that these items have been ranked and listed in “best-to-worst” order of quality or performance. Across four experiments, we find that consumers infer ordinality from verticality even when explicitly informed that display order is non-diagnostic.



Citation:

Mathew S. Isaac and SHAILENDRA PRATAP JAIN (2018) ,"Assuming Ordinality: Best-To-Worst Inferences in Vertical Lists", in NA - Advances in Consumer Research Volume 46, eds. Andrew Gershoff, Robert Kozinets, and Tiffany White, Duluth, MN : Association for Consumer Research, Pages: 45-49.

Authors

Mathew S. Isaac, Seattle University
SHAILENDRA PRATAP JAIN, University of Washington, USA



Volume

NA - Advances in Consumer Research Volume 46 | 2018



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