Additivity neglect in probability estimates: Effects of numeracy and response format
Anine H. Riege and
Karl Halvor Teigen
Organizational Behavior and Human Decision Processes, 2013, vol. 121, issue 1, 41-52
Abstract:
When people are asked to estimate the probabilities for an exhaustive set of more than two events, they often produce probabilities that add up to more than 100%. Potential determinants for such additivity neglect are explored in four experiments. Additive responses vary between experimental conditions, mainly as a result of response format, with a scale format leading to fewer additive responses than a list format with self-generated, written probabilities. Participants with high numeracy scores produced more additive responses, especially after being primed with a numeracy scale. Additivity neglect for 100% sums appears to be unrelated to other subadditive judgments, like non-additive disjunctions. We conclude that additivity neglect is caused by a case-based approach, which comes natural in real-life situations where the full set of outcomes is not available.
Keywords: Probability estimates; Additivity; Numeracy; Response format; Predictions; Subadditivity (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0749597812001288
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:jobhdp:v:121:y:2013:i:1:p:41-52
DOI: 10.1016/j.obhdp.2012.11.004
Access Statistics for this article
Organizational Behavior and Human Decision Processes is currently edited by John M. Schaubroeck
More articles in Organizational Behavior and Human Decision Processes from Elsevier
Bibliographic data for series maintained by Catherine Liu ().