Literature DB >> 28134543

Repeated evaluative pairings and evaluative statements: How effectively do they shift implicit attitudes?

Benedek Kurdi1, Mahzarin R Banaji1.   

Abstract

Six experiments, involving a total of 6,492 participants, were conducted to investigate the relative effectiveness of repeated evaluative pairings (REP; exposure to category members paired with pleasant or unpleasant images), evaluative statements (ES; verbally signaling upcoming pairings without actual exposure), and their combination (ES + REP) in shifting implicit social and nonsocial attitudes. Learning modality (REP, ES, and ES + REP) was varied between participants and implicit attitudes were assessed using an Implicit Association Test (IAT). Study 1 (N = 675) used fictitious social groups (NIFFs and LAAPs), Study 2 (N = 1,034) used novel social groups (humans with long vs. square faces), Study 3 (N = 1,072) used nonsocial stimuli (squares vs. rectangles), and Study 4 (N = 848) and Study 5 (N = 958) used known social groups (young vs. elderly; American vs. foreign). ES were more effective than REP and no less superior than ES + REP in producing implicit attitude change. Results were robust across social and nonsocial domains and for known and novel groups. Study 6 (N = 1,905) eliminated time on intervention, levels of construal, and expectancy effects as possible explanations for these findings. Associative theories of implicit evaluation posit that implicit attitudes should shift piecemeal over time; yet, in these experiments, one-shot language-based learning led to larger shifts in implicit attitude than exposure to stimulus pairings. Moreover, the redundancy observed in REP + ES suggests that attitude acquisition from repeated pairings and evaluative instructions may rely on shared mental representations. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

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Year:  2017        PMID: 28134543     DOI: 10.1037/xge0000239

Source DB:  PubMed          Journal:  J Exp Psychol Gen        ISSN: 0022-1015


  3 in total

1.  Model-free and model-based learning processes in the updating of explicit and implicit evaluations.

Authors:  Benedek Kurdi; Samuel J Gershman; Mahzarin R Banaji
Journal:  Proc Natl Acad Sci U S A       Date:  2019-03-12       Impact factor: 11.205

2.  Profile of Mahzarin R. Banaji.

Authors:  Jennifer Viegas
Journal:  Proc Natl Acad Sci U S A       Date:  2019-05-28       Impact factor: 11.205

3.  Learning via instructions about observations: exploring similarities and differences with learning via actual observations.

Authors:  Sarah Kasran; Sean Hughes; Jan De Houwer
Journal:  R Soc Open Sci       Date:  2022-03-30       Impact factor: 2.963

  3 in total

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