12
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: not found
      • Article: not found

      The IAT Is Dead, Long Live the IAT: Context-Sensitive Measures of Implicit Attitudes Are Indispensable to Social and Political Psychology

      1
      Current Directions in Psychological Science
      SAGE Publications

      Read this article at

      ScienceOpenPublisher
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Related collections

          Most cited references39

          • Record: found
          • Abstract: not found
          • Article: not found

          On the malleability of automatic attitudes: Combating automatic prejudice with images of admired and disliked individuals.

            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Attitudes as Object-Evaluation Associations of Varying Strength.

            Historical developments regarding the attitude concept are reviewed, and set the stage for consideration of a theoretical perspective that views attitude, not as a hypothetical construct, but as evaluative knowledge. A model of attitudes as object-evaluation associations of varying strength is summarized, along with research supporting the model's contention that at least some attitudes are represented in memory and activated automatically upon the individual's encountering the attitude object. The implications of the theoretical perspective for a number of recent discussions related to the attitude concept are elaborated. Among these issues are the notion of attitudes as "constructions," the presumed malleability of automatically-activated attitudes, correspondence between implicit and explicit measures of attitude, and postulated dual or multiple attitudes.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Moderators of the relationship between implicit and explicit evaluation.

              Automatic and controlled modes of evaluation sometimes provide conflicting reports of the quality of social objects. This article presents evidence for 4 moderators of the relationship between automatic (implicit) and controlled (explicit) evaluations. Implicit and explicit preferences were measured for a variety of object pairs using a large sample. The average correlation was r=.36, and 52 of the 57 object pairs showed a significant positive correlation. Results of multilevel modeling analyses suggested that (a) implicit and explicit preferences are related, (b) the relationship varies as a function of the objects assessed, and (c) at least 4 variables moderate the relationship: self-presentation, evaluative strength, dimensionality, and distinctiveness. The variables moderated implicit-explicit correspondence across individuals and accounted for much of the observed variation across content domains. The resulting model of the relationship between automatic and controlled evaluative processes is grounded in personal experience with the targets of evaluation. Copyright (c) 2005 APA, all rights reserved.
                Bookmark

                Author and article information

                Journal
                Current Directions in Psychological Science
                Curr Dir Psychol Sci
                SAGE Publications
                0963-7214
                1467-8721
                January 03 2019
                February 2019
                November 16 2018
                February 2019
                : 28
                : 1
                : 10-19
                Affiliations
                [1 ]Department of Psychology, New York University
                Article
                10.1177/0963721418797309
                528e0b1e-6378-4711-b252-295078348626
                © 2019

                http://journals.sagepub.com/page/policies/text-and-data-mining-license

                History

                Comments

                Comment on this article