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 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.
Mathew S. Isaac, Seattle University
SHAILENDRA PRATAP JAIN, University of Washington, USA
NA - Advances in Consumer Research Volume 46 | 2018
Intentionally “Biased”: People Purposefully Use To-Be-Ignored Information, But Can Be Persuaded Not To
Berkeley Jay Dietvorst, University of Chicago, USA
Uri Simonsohn, University of Pennsylvania, USA
Using a Meta-Analysis to Unravel Relative Importance of Postulated Explanations for the Endowment Effect
Peter Nguyen, Ivey Business School
Xin (Shane) Wang, Western University, Canada
David J. Curry, University of Cincinnati, USA
Liminal Motherhood: Relational Partners Experience of Liminality
Adriana Schneider Dallolio, Fundação Getúlio Vargas - FGV-EAESP
Eliane Zamith Brito, Fundação Getúlio Vargas