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Contrasting positive and negative associations to neutral associations in implicit tests
Kristianstad University, Faculty of Education, Avdelningen för psykologi.
2018 (English)Conference paper, Poster (with or without abstract) (Refereed)
Abstract [en]

Tests like the Implicit Association Test (IAT), the Sorting Paired Features task (SPF) and the Brief IAT (BIAT), all to some degree contrast positively and negatively valenced categories against each other, in the task itself and/or in the scoring procedure. This makes it difficult to truly disentangle positive and negative associations, something that is important when measuring attitudes. A different approach was explored in a series of studies using a method similar to SPF and BIAT, but using a neutral category as a contrast against positive and negative associations. The method was tested using gender SPFs and gender BIATs, as well as various ethnicity SPFs. The results show support for the validity of the positive-neutral tests, but the results for the negative-neutral tests are less clear, and questions remain concerning reliability when using the latter test. Results on positive-netrual tests, on the other hand, showed some support for its validity, for instance was scores on a gender BIAT related to the level of appreciation of sexist jokes. Further studies using large samples are needed to determine the psychometric of this method.

Place, publisher, year, edition, pages
2018.
National Category
Psychology
Identifiers
URN: urn:nbn:se:hkr:diva-19886OAI: oai:DiVA.org:hkr-19886DiVA, id: diva2:1346880
Conference
Society for Personality and Social Psychology, Atlanta, Georgia
Available from: 2019-08-29 Created: 2019-08-29 Last updated: 2019-08-29Bibliographically approved

Open Access in DiVA

Poster(154 kB)1 downloads
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Jørgensen, Øyvind

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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