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Exploring the time-loss bias: Identification of individual decision rules and heuristics.
Stockholm University, Faculty of Social Sciences, Department of Psychology.
2019 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Previous research has demonstrated that intuitive judgments of timeloss are often biased: overestimated when a high speed is slowed down and underestimated when a low speed is decreased further. Yet, no findings provide cognitive explanations of the bias. The present study (a) collected numerical judgments of time-loss by assigning participants to seven speed matching problems, and (b) collected verbal protocols of participants judgment processes. To identify different decision rules on the individual level, a spectral analysis of judgments was used. The findings show that the ratio rule was most frequently used and similar to the well researched time-saving bias, a ratio heuristic and a difference heuristic could model a majority of the timeloss bias. The validity of the method is supported by a significant correspondence between the spectral analysis measure and the qualitative analysis for consistent participants. By including affect as a third variable, future research could get a closer understanding of the bias effect in real life and consequently develop strategies that can improve road safety. 

Place, publisher, year, edition, pages
2019. , p. 34
Keywords [en]
Time-loss bias, decision rules
National Category
Psychology
Identifiers
URN: urn:nbn:se:su:diva-172859OAI: oai:DiVA.org:su-172859DiVA, id: diva2:1350286
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Examiners
Available from: 2019-10-18 Created: 2019-09-11 Last updated: 2019-10-18Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf