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.
Mathew Isaac and Shailendra Pratap Jain (2018) ,"Assuming Ordinality: Best-To-Worst Inferences in Vertical Lists", in AP - Asia-Pacific Advances in Consumer Research Volume 12, eds. Shailendra Pratap Jain, Akshaya Vijayalakshmi, and , Duluth, MN : Association for Consumer Research, Pages: 17-17.
Mathew Isaac, Seattle University, USA
Shailendra Pratap Jain, University of Washington, USA
AP - Asia-Pacific Advances in Consumer Research Volume 12 | 2018
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