Literature DB >> 31050916

Stability and Change in Implicit Bias.

Heidi A Vuletich1, B Keith Payne1.   

Abstract

Can implicit bias be changed? In a recent longitudinal study, Lai and colleagues (2016, Study 2) compared nine interventions intended to reduce racial bias across 18 university campuses. Although all interventions changed participants' bias on an immediate test, none were effective after a delay. This study has been interpreted as strong evidence that implicit biases are difficult to change. We revisited Lai et al.'s study to test whether the stability observed reflected persistent individual attitudes or stable environments. Our reanalysis (N = 4,842) indicates that individual biases did not return to preexisting levels. Instead, campus means returned to preexisting campus means, whereas individual scores fluctuated mostly randomly. Campus means were predicted by markers of structural inequality. Our results are consistent with the theory that implicit bias reflects biases in the environment rather than individual dispositions. This conclusion is nearly the opposite of the original interpretation: Although social environments are stable, individual implicit biases are ephemeral.

Entities:  

Keywords:  IAT; bias of crowds; implicit attitudes; implicit bias; open data; prejudice

Mesh:

Year:  2019        PMID: 31050916     DOI: 10.1177/0956797619844270

Source DB:  PubMed          Journal:  Psychol Sci        ISSN: 0956-7976


  8 in total

1.  Integrating mindfulness and connection practices into preservice teacher education results in durable automatic race bias reductions.

Authors:  Matthew J Hirshberg; Lisa Flook; Evan E Moss; Robert D Enright; Richard J Davidson
Journal:  J Sch Psychol       Date:  2022-01-13

2.  Use of ICD-10 Codes for Human Trafficking: Analysis of Data From a Large, Multisite Clinical Database in the United States.

Authors:  Patrick L Kerr; Gavin Bryant
Journal:  Public Health Rep       Date:  2022 Jul-Aug       Impact factor: 3.117

3.  When policy and psychology meet: Mitigating the consequences of bias in schools.

Authors:  Jason A Okonofua; Amanda D Perez; Sean Darling-Hammond
Journal:  Sci Adv       Date:  2020-10-16       Impact factor: 14.136

4.  The target/perpetrator brief-implicit association test (B-IAT): an implicit instrument for efficiently measuring discrimination based on race/ethnicity, sex, gender identity, sexual orientation, weight, and age.

Authors:  Maddalena Marini; Pamela D Waterman; Emry Breedlove; Jarvis T Chen; Christian Testa; Sari L Reisner; Dana J Pardee; Kenneth H Mayer; Nancy Krieger
Journal:  BMC Public Health       Date:  2021-01-19       Impact factor: 3.295

5.  Racial Bias Correlates with States Having Fewer Health Professional Shortage Areas and Fewer Federally Qualified Community Health Center Sites.

Authors:  Lonnie R Snowden; Eli Michaels
Journal:  J Racial Ethn Health Disparities       Date:  2022-01-10

6.  Comparisons Between COVID-19 Stigma and Other Stigmas: Distinct in Explicit Attitudes and Similar in Implicit Process.

Authors:  Jiajia Zhu; Lihua Yan; Yan Mu
Journal:  Front Psychol       Date:  2022-04-26

7.  Why Antibias Interventions (Need Not) Fail.

Authors:  Toni Schmader; Tara C Dennehy; Andrew S Baron
Journal:  Perspect Psychol Sci       Date:  2022-05-17

8.  Critique of the Bias-of-Crowds Model Simply Restates the Model: Reply to Connor and Evers (2020).

Authors:  B Keith Payne; Heidi Vuletich; Kristjen B Lundberg
Journal:  Perspect Psychol Sci       Date:  2021-09-15
  8 in total

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