Cambridge Handbook of Implicit Bias and Racism
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Cambridge Handbook of Implicit Bias and Racism
Krosnick, Jon A.; Stark, Tobias H.; Scott, Amanda L.
Cambridge University Press
12/2024
500
Mole
Inglês
9781108794435
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Foreword; Introduction: taking stock of explicit and implicit prejudice; 1. Report on the NSF conference on implicit bias; Section 1. What is implicit bias and (how) can we measure it?: 2. Implicit bias: what is it?; 3. Lessons from two decades of project implicit; 4. Aversive racism and implicit bias; 5. Stretching the limits of science: was the implicit-racism debate a 'bridge too far' for social psychology?; Section 2. Predicting behavior and attitudes with measures of implicit bias: 6. The impact of implicit racial bias in racial health disparities: a practical problem with theoretical implications; 7. Revisiting the measurement of group schemas in political science; 8. Implicit bias and discrimination: evidence on causality; 9. What is the unique contribution of implicit measures in predicting political choices?; 10. Predicting biased behavior with implicit attitudes: results from a voting experiment and the 2008 Presidential election; Section 3. Challenges of research on implicit Bias: 11. The rationality, interpretation and overselling of tests of implicit cognition; 12. Listening to measurement error: lessons from the IAT; 13. IAT Scores, racial gaps, and scientific gaps; 14. Commentary; Section 4. Improving measurement and theorizing about implicit bias: 15. Methodological issues in the study of implicit attitudes; 16: The bias of crowds: rethinking implicit bias in social context; 17. Latent state-trait analyses for process models of implicit measures; 18. Increasing the validity of implicit measures: new solutions for assessment, conceptualization, and action explanation; 19. A model of moderated convergence between explicit dispositions, implicit dispositions, and behavior; 20: Complications in predicting intergroup behavior from implicit biases: one size does not fit all; Section 5. How to change implicit bias?: 21. Changing implicit bias vs empowering people to address the personal dilemma of unintentional bias; 22. How can we change implicit bias toward outgroups?; Section 6. Explicit prejudice, alive and well?: 23. A survey researcher's response to the implicit revolution: listen to what people say; 24. A history of the new racisms: symbolic racism, modern racism, and racial resentment; 25. The relations among explicit prejudice measures: anti-black affect and perceptions of value violation as predictors of symbolic racism and attitudes toward racial policies; 26. Complexities in the measurement of explicit racial attitudes; 27. The continuing relevance of Whites' explicit bias-and reflections on the tools to measure it; Section 7. The public's (mis)perception of implicit bias: 28. Public attitudes on implicit bias; 29. The mass public's view of implicit bias, with implications for scientific communication in a politically polarized age.
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Foreword; Introduction: taking stock of explicit and implicit prejudice; 1. Report on the NSF conference on implicit bias; Section 1. What is implicit bias and (how) can we measure it?: 2. Implicit bias: what is it?; 3. Lessons from two decades of project implicit; 4. Aversive racism and implicit bias; 5. Stretching the limits of science: was the implicit-racism debate a 'bridge too far' for social psychology?; Section 2. Predicting behavior and attitudes with measures of implicit bias: 6. The impact of implicit racial bias in racial health disparities: a practical problem with theoretical implications; 7. Revisiting the measurement of group schemas in political science; 8. Implicit bias and discrimination: evidence on causality; 9. What is the unique contribution of implicit measures in predicting political choices?; 10. Predicting biased behavior with implicit attitudes: results from a voting experiment and the 2008 Presidential election; Section 3. Challenges of research on implicit Bias: 11. The rationality, interpretation and overselling of tests of implicit cognition; 12. Listening to measurement error: lessons from the IAT; 13. IAT Scores, racial gaps, and scientific gaps; 14. Commentary; Section 4. Improving measurement and theorizing about implicit bias: 15. Methodological issues in the study of implicit attitudes; 16: The bias of crowds: rethinking implicit bias in social context; 17. Latent state-trait analyses for process models of implicit measures; 18. Increasing the validity of implicit measures: new solutions for assessment, conceptualization, and action explanation; 19. A model of moderated convergence between explicit dispositions, implicit dispositions, and behavior; 20: Complications in predicting intergroup behavior from implicit biases: one size does not fit all; Section 5. How to change implicit bias?: 21. Changing implicit bias vs empowering people to address the personal dilemma of unintentional bias; 22. How can we change implicit bias toward outgroups?; Section 6. Explicit prejudice, alive and well?: 23. A survey researcher's response to the implicit revolution: listen to what people say; 24. A history of the new racisms: symbolic racism, modern racism, and racial resentment; 25. The relations among explicit prejudice measures: anti-black affect and perceptions of value violation as predictors of symbolic racism and attitudes toward racial policies; 26. Complexities in the measurement of explicit racial attitudes; 27. The continuing relevance of Whites' explicit bias-and reflections on the tools to measure it; Section 7. The public's (mis)perception of implicit bias: 28. Public attitudes on implicit bias; 29. The mass public's view of implicit bias, with implications for scientific communication in a politically polarized age.
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