Literature DB >> 30550298

Relationship between the Implicit Association Test and intergroup behavior: A meta-analysis.

Benedek Kurdi1, Allison E Seitchik2, Jordan R Axt3, Timothy J Carroll1, Arpi Karapetyan4, Neela Kaushik5, Diana Tomezsko6, Anthony G Greenwald7, Mahzarin R Banaji1.   

Abstract

Using data from 217 research reports (N = 36,071, compared to 3,471 and 5,433 in previous meta-analyses), this meta-analysis investigated the conceptual and methodological conditions under which Implicit Association Tests (IATs) measuring attitudes, stereotypes, and identity correlate with criterion measures of intergroup behavior. We found significant implicit-criterion correlations (ICCs) and explicit-criterion correlations (ECCs), with unique contributions of implicit (β = .14) and explicit measures (β = .11) revealed by structural equation modeling. ICCs were found to be highly heterogeneous, making moderator analyses necessary. Basic study features or conceptual variables did not account for any heterogeneity: Unlike explicit measures, implicit measures predicted for all target groups and types of behavior, and implicit, but not explicit, measures were equally associated with behaviors varying in controllability and conscious awareness. However, ICCs differed greatly by methodological features: Studies with a declared focus on ICCs, standard IATs rather than variants, high-polarity attributes, behaviors measured in a relative (two categories present) rather than absolute manner (single category present), and high implicit-criterion correspondence (k = 13) produced a mean ICC of r = .37. Studies scoring low on these variables (k = 6) produced an ICC of r = .02. Examination of methodological properties-a novelty of this meta-analysis-revealed that most studies were vastly underpowered and analytic strategies regularly ignored measurement error. Recommendations, along with online applications for calculating statistical power and internal consistency are provided to improve future studies on the implicit-criterion relationship. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Mesh:

Year:  2018        PMID: 30550298     DOI: 10.1037/amp0000364

Source DB:  PubMed          Journal:  Am Psychol        ISSN: 0003-066X


  33 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

Review 2.  Gender in Science, Technology, Engineering, and Mathematics: Issues, Causes, Solutions.

Authors:  Tessa E S Charlesworth; Mahzarin R Banaji
Journal:  J Neurosci       Date:  2019-08-01       Impact factor: 6.167

3.  Believability of evidence matters for correcting social impressions.

Authors:  Jeremy Cone; Kathryn Flaharty; Melissa J Ferguson
Journal:  Proc Natl Acad Sci U S A       Date:  2019-04-29       Impact factor: 11.205

4.  Applied Racial/Ethnic Healthcare Disparities Research Using Implicit Measures.

Authors:  Nao Hagiwara; John F Dovidio; Jeff Stone; Louis A Penner
Journal:  Soc Cogn       Date:  2020-12-01

5.  The Value of Interracial Contact for Reducing Anti-Black Bias Among Non-Black Physicians: A Cognitive Habits and Growth Evaluation (CHANGE) Study Report.

Authors:  Ivuoma N Onyeador; Natalie M Wittlin; Sara E Burke; John F Dovidio; Sylvia P Perry; Rachel R Hardeman; Liselotte N Dyrbye; Jeph Herrin; Sean M Phelan; Michelle van Ryn
Journal:  Psychol Sci       Date:  2019-11-19

6.  Dissociating Automatic Associations: Comparing Two Implicit Measurements of Race Bias.

Authors:  Hannah I Volpert-Esmond; Laura D Scherer; Bruce D Bartholow
Journal:  Eur J Soc Psychol       Date:  2019-12-17

7.  Contact and role modeling predict bias against lesbian and gay individuals among early-career physicians: A longitudinal study.

Authors:  Natalie M Wittlin; John F Dovidio; Sara E Burke; Julia M Przedworski; Jeph Herrin; Liselotte Dyrbye; Ivuoma N Onyeador; Sean M Phelan; Michelle van Ryn
Journal:  Soc Sci Med       Date:  2019-08-04       Impact factor: 4.634

8.  Same same, but different: A psychometric examination of three frequently used experimental tasks for cognitive bias assessment in a sample of healthy young adults.

Authors:  Alla Machulska; Kristian Kleinke; Tim Klucken
Journal:  Behav Res Methods       Date:  2022-06-01

9.  Acquiring group bias: Observing other people's nonverbal signals can create social group biases.

Authors:  Allison L Skinner; Kristina R Olson; Andrew N Meltzoff
Journal:  J Pers Soc Psychol       Date:  2019-09-16

10.  The stigmatization of nonsuicidal self-injury.

Authors:  Taylor A Burke; Marilyn L Piccirillo; Samantha L Moore-Berg; Lauren B Alloy; Richard G Heimberg
Journal:  J Clin Psychol       Date:  2018-10-28
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