• LOGIN
    Login with username and password
Repository logo

BORIS Portal

Bern Open Repository and Information System

  • Publications
  • Theses
  • Research Data
  • Projects
  • Organizations
  • Researchers
  • More
  • Collections
  • Statistics
  • LOGIN
    Login with username and password
Repository logo
Unibern.ch
  1. Home
  2. Publications
  3. The Implicit Association Test as an analogical learning task
 

The Implicit Association Test as an analogical learning task

Options
  • Details
  • Files
BORIS DOI
10.48350/186070
Publisher DOI
10.1027/1618-3169/a000416
PubMed ID
30451105
Description
The Implicit Association Test (IAT) is a popular tool for measuring attitudes. We suggest that performing an IAT could, however, also change attitudes via analogical learning. For instance, when performing an IAT in which participants categorize (previously unknown) Chinese characters, flowers, positive words, and negative words, participants could infer that Chinese characters relate to flowers as negative words relate to positive words. This analogy would imply that Chinese characters are opposite to flowers in terms of valence and thus that they are negative. Results from three studies (N = 602) confirmed that evaluative learning can occur when completing an IAT, and suggest that this effect can be described as analogical. We discuss the implications of our findings for research on analogy and research on the IAT as a measure of attitudes.
Date of Publication
2018
Publication Type
Article
Subject(s)
100 Philosophy > 150 Psychology
Language(s)
en
Contributor(s)
Hussey, Ian
Institut für Psychologie
Institut für Psychologie - Psychologie der Digitalisierung
De Houwer, Jan
Additional Credits
Institut für Psychologie
Series
Experimental psychology
Publisher
Hogrefe
ISSN
1618-3169
Related URL(s)
https://psyarxiv.com/yug9h
Access(Rights)
open.access
Show full item
BORIS Portal
Bern Open Repository and Information System
Build: dd892c [ 9.04. 8:30]
Explore
  • Projects
  • Funding
  • Publications
  • Research Data
  • Organizations
  • Researchers
  • Audiovisual Material
  • Software & other digital items
  • Events
More
  • About BORIS Portal
  • Send Feedback
  • Cookie settings
  • Service Policy
Follow us on
  • Mastodon
  • YouTube
  • LinkedIn
UniBe logo