Show simple item record

Tell a tall tale and watch a narcissist fail: Narcissism and lie detection via email

dc.contributor.authorZarins, Sasha
dc.contributor.advisorKonrath, Sara
dc.date.accessioned2014-06-03T14:38:17Z
dc.date.availableNO_RESTRICTIONen_US
dc.date.available2014-06-03T14:38:17Z
dc.date.issued2014-05
dc.date.submitted2014-04-15
dc.identifier.urihttps://hdl.handle.net/2027.42/107345
dc.description.abstractPeople are bad at detecting lies, tending to perform just above chance. There is little previous literature on whether individual traits are associated with better lie detection abilities. No research that we know of looks at the association between narcissistic traits and lie detection ability. However, some work has found that narcissistic people are better at detecting emotions in face to face interactions. In this paper, we examine the relationship between narcissism and lie detection ability across two studies. The first study examines the association between narcissism and lie detection ability in emails. People who scored high in narcissism preformed significantly worse in the email lie detection task, but they were significantly more confident in their abilities to detect the lies. This means that narcissistic people are erroneously confident in their lie detection abilities. The second study aimed to replicate the findings of the first study. Additionally, the second study added a video-taped lie detection task. We were not able to replicate the findings of the first study. We also found no associations between narcissism and lie detection abilities in video-taped interactions.en_US
dc.language.isoen_USen_US
dc.subjectDeception; Lie Detection; Overconfidence; Email Communication; Emotion Recognitionen_US
dc.titleTell a tall tale and watch a narcissist fail: Narcissism and lie detection via emailen_US
dc.typeThesisen_US
dc.description.thesisdegreenameMaster of Science (MS)en_US
dc.description.thesisdegreedisciplinePsychology Accelerated Degree Programen_US
dc.description.thesisdegreegrantorUniversity of Michiganen_US
dc.contributor.committeemembern/a
dc.identifier.uniqname05355168en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/107345/1/zarins.finalthesis.pdf
dc.owningcollnameDissertations and Theses (Ph.D. and Master's)


Files in this item

Show simple item record

Remediation of Harmful Language

The University of Michigan Library aims to describe its collections in a way that respects the people and communities who create, use, and are represented in them. We encourage you to Contact Us anonymously if you encounter harmful or problematic language in catalog records or finding aids. More information about our policies and practices is available at Remediation of Harmful Language.

Accessibility

If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.