Figures
1.1A schematic representation of the current conceptualization of implicit and explicit measures of attitudes.
2.1Scores on the Modern Racism Scale as a function of automatically activated racial attitudes and low versus high motivation to control prejudice.
2.2Three rough categories of people superimposed upon the regression lines depicted in Figure 2.1.
6.1Three theoretical paths from racial bias to racial health and healthcare disparities.
6.2The indirect effects of oncologists’ implicit racial bias on Black patients’ confidence in recommended cancer treatments.
6.3The expression of positive emotions by aversive racist physicians when interacting with Black patients who differ in reports of past discrimination.
7.1The two variants of the schematic model. (a) Additive model; (b) Interactive model.
7.3Estimated effects of sexism on attitudinal preference for the Republican party by gender–party schema.
7.7Effects of race−poverty schemas on support for spending programs.
9.1Change in 2008 vote choice attributable to 1 SD shift in racial bias measure.
9.2Change in 2012 vote choice attributable to 1 SD shift in racial bias measures.
10.1Circuit court candidate race. (Example: Both strong and mixed gender judicial race).
10.3Do candidate quality differences attenuate gender attitude effects?
10.4Does party identification attenuate racial attitude effects?
11.1Expected utility analysis of a hypothetical medical decision.
11.2Classification results if one uses the IAT to detect racism.
13.2Individual discrimination is a subset of total discrimination.
13.3Individual discrimination caused by IAT scores is a subset of all individual discrimination.
13.6IAT scores might only explain a trivial portion of most gaps.
15.8Confirmatory factor analysis of implicit attitudes with GPS correction.
15.9Confirmatory factor analysis of implicit attitudes with latent GPS correction.
19.1A model of moderated convergence between explicit dispositions, implicit dispositions, and behavior.
21.1Effects of gender habit-breaking intervention on STEM faculty hires.
25.1Standardized regression coefficients of the final model predicting symbolic racism and racial policy attitudes in Study 1.
25.2Standardized regression coefficients of the final model predicting symbolic racism and racial policy attitudes in Study 2.
26.1Ideology, racial resentment, and support for the college tuition program.
27.1The “sea change” in Whites’ (explicit) racial attitudes.
27.7Explanations for racial inequality (2010 GSS, White respondents only).
28.1Google Trends searches of implicit bias and unconscious bias.
29.1Internet searches for “implicit bias” in the United States, 2004–2018.
29.2Mentions of “implicit association” and “implicit bias” in psychology journals and the press.
29.3Monthly mentions of “implicit bias” in US newspapers, 1998–2018.
