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



Share Proceeding

Featured papers

See More

Featured

Mere and Near Completion

Bowen Ruan, University of Wisconsin - Madison, USA
Evan Polman, University of Wisconsin - Madison, USA
Robin Tanner, University of Wisconsin - Madison, USA

Read More

Featured

J10. Transnational Consumer Lifestyle

zahra Sharifonnasabi, Queen Mary University of London
Fleura Bardhi, City University of London, UK

Read More

Featured

H4. Anthropomorphism Moderates the Effect of Ownership on Self Perceptions

Qiang Zhou, University of Texas at San Antonio, USA
Dengfeng Yan, University of Texas at San Antonio, USA

Read More

Engage with Us

Becoming an Association for Consumer Research member is simple. Membership in ACR is relatively inexpensive, but brings significant benefits to its members.