Contrasting positive and negative associations to neutral associations in implicit tests

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Abstract

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.

Original languageEnglish
Publication statusPublished - 2018
EventSociety for Personality and Social Psychology, Atlanta, Georgia -
Duration: 1980-Jan-01 → …

Conference

ConferenceSociety for Personality and Social Psychology, Atlanta, Georgia
Period80-01-01 → …

Swedish Standard Keywords

  • Psychology (501)

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