ub.xmlui.mirage2.page-structure.muninLogoub.xmlui.mirage2.page-structure.openResearchArchiveLogo
    • EnglishEnglish
    • norsknorsk
  • Velg spraakEnglish 
    • EnglishEnglish
    • norsknorsk
  • Administration/UB
View Item 
  •   Home
  • Det helsevitenskapelige fakultet
  • Institutt for psykologi
  • Artikler, rapporter og annet (psykologi)
  • View Item
  •   Home
  • Det helsevitenskapelige fakultet
  • Institutt for psykologi
  • Artikler, rapporter og annet (psykologi)
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Emergent attributes in person perception: A comparative test of response time predictions.

Permanent link
https://hdl.handle.net/10037/1882
DOI
https://doi.org/10.1027/1864-9335.39.2.83
Thumbnail
View/Open
article.pdf (186.2Kb)
(PDF)
Date
2008
Type
Journal article
Tidsskriftartikkel
Peer reviewed

Author
Siebler, Frank
Abstract
In person perception, emergent attributes are attributes that people ascribe to members of a rare or novel category combination, although they would not ascribe the same attributes to members of either of the constituent categories. The present paper first describes the processing mechanisms suggested by three theoretical models of attribute emergence. Then, competing response time predictions are derived from the models’ respective mechanisms. An empirical test of these predictions in a laboratory experiment with university students (N = 45) is reported. Results support Hastie, Schroeder, and Weber’s (1990) two-stage model, but not Kunda, Miller, and Claire’s (1990) impression-formation model or Smith and DeCoster’s (1998) connectionist account.
Publisher
Hogrefe & Huber Publishers
Citation
Social Psychology 39(2008) nr. 2 s. 83-89
Metadata
Show full item record
Collections
  • Artikler, rapporter og annet (psykologi) [562]

Browse

Browse all of MuninCommunities & CollectionsAuthor listTitlesBy Issue DateBrowse this CollectionAuthor listTitlesBy Issue Date
Login

Statistics

View Usage Statistics
UiT

Munin is powered by DSpace

UiT The Arctic University of Norway
The University Library
uit.no/ub - munin@ub.uit.no

Accessibility statement (Norwegian only)