The Cambridge handbook of implicit bias and racism / edited by Jon A. Krosnick, Stanford University, California, Tobias H. Stark, Universiteit Utrecht, The Netherlands, Amanda L. Scott, The Strategy Team, Ohio.

Format:

Book

Contributor:

Krosnick, Jon A., editor.

Stark, Tobias H., 1980- editor.

Scott, Amanda L., 1977- editor.

Series:

Cambridge handbooks in psychology

Language:

English

Subjects (All):

Subliminal perception.

Prejudices.

Impression formation (Psychology).

Physical Description:

1 online resource (xxiii, 792 pages) : digital, PDF file(s).

Edition:

1st ed.

Place of Publication:

Cambridge, United Kingdom ; New York, NY : Cambridge University Press, 2025.

Summary:

"The concept of implicit bias - the idea that the unconscious mind might hold and use negative evaluations of social groups that cannot be documented via explicit measures of prejudice - is a hot topic in the social and behavioral sciences. It has also become a part of popular culture, while interventions to reduce implicit bias have been introduced in police forces, educational settings, and workplaces. Yet researchers still have much to understand about this phenomenon. Bringing together a diverse range of scholars to represent a broad spectrum of views, this handbook documents the current state of knowledge and proposes directions for future research in the field of implicit bias measurement. It is essential reading for those who wish to alleviate bias, discrimination, and inter-group conflict, including academics in psychology, sociology, political science, and economics, as well as government agencies, non-governmental organizations, corporations, judges, lawyers, and activists."-- Provided by publisher

Contents:

Foreword Christopher Parker Taking stock of explicit and implicit prejudice Tobias H. Stark, Jon A. Krosnick, and Amanda L. Scott Report from the NSF conference on implicit bias Bernadette Park, Richard E. Petty, Joshua Correll, Lisa Feldman Barrett, Vince Hutchings, Gary Langer, Sabine Otten, Christopher Parker, and William Von Hippel

Section I What is implicit bias and (how) can we measure it?. Implicit bias : what is it? Russell H. Fazio, Javier A. Granados Samayoa, Shelby T. Boggs, and Jesse Ladanyi Lessons from two decades of Project Implicit Kate A. Ratliff and Colin Tucker Smith Aversive racism and implicit bias John F. Dovidio, Adam R. Pearson, Fabian M. H. Schellhaas, Samuel L. Gaertner, and Louis A. Penner Stretching the limits of science : was the implicit-racism debate a "bridge too far" for social psychology? Gregory Mitchell and Philip E. Tetlock

Section II Do measures of implicit bias predict cognition and behavior?

Section II Do measures of implicit bias predict cognitive and behavior?

Introduction Impact of implicit racial bias in racial health disparities : a practical problem with theoretical implications Louis A. Pnner, John F. Dovidio, Nao Hagiwara, and Terrance L. Albrecht Revisiting the measurement of group schemas in political science Kirill Zhirkov and Nicholas A. Valentino Implicit bias and discrimination : evidence on causality Katie J. Wolsiefer and Irene V. Blair What is the unique contribution of implicit measures in predicting political choices? Josh Pasek and Steven T. Moore Predicting biased voting behavior with implicit attitude measures : results from a voting experiment and the 2008 presidential election Cecilia Hyunjung Mo and Tabitha Bonilla

Section III Challenges of research on implicit bias Challenges of research on implicit bias

Introduction Tobias H. Stark and Jan A. Krosnick Rationality, interpretation, and overselling of tests of implicit cognition Hal R. Arkes Listening to measurement error : lessons from the Implicit Association Test Hart Blanton and James Jaccard IAT scores, racial gaps, and scientific gaps Lee Jussim, Akeela Careem, Zach Goldberg, Nathan Honeycutt, and Sean T. Stevens Commentary Lisa Feldman Barrett

Section IV Improving measurement and theorizing about implicit bias Methodological issues in the study of implicit attitudes James Jaccard Bias of crowds : rethinking implicit bias in social context Kristjen B. Lundberg and B. Keith Payne Latent state-trait analyses for process models of implicit measures Karl Christoph Klauer and Manuel Becker Increasing the validity of implicit measures : new solutions for assessment, conceptualization, and action explanation Franziska Meissner and Klaus Rothermund Model of moderated convergence between explicit dispositions, implicit dispositions, and behavior Manfred Schmitt, Wilhelm Hoffmann, Tobias Gschwendner, Friederike Gerstenberg, and Axel Zinkernagel Complications in predicting intergroup behavior from implicit biases : one size does not fit all Galen V. Bodenhausen and Christopher D. Petsko How to change implicit bias?. Changing implicit bias versus empowering people to address the personal dilemma of unintentional bias William T. L. Cox and Patricia G. Devine How can we change implicit bias towards outgroups? Melissa J. Ferguson, Xi Shen, Jeremy Cone, and Thomas C. Mann Explicit prejudice, alive and well?. A survey researcher's response to the implicit revolution : listen to what people say P. J. Henry A history of the new racisms : symbolic racism, modern racism, and racial resentment David O. Sears The relations among explicit prejudice measures : anti-Black affect and perceptions of value violation as predictors of symbolic racism and attitudes toward racial policies Tobias H. Stark, Jon A. Krosnick, Joshua L. Rabinowitz, and Michael J. Sargent Complexities in the measurement of explicit racial attitudes Leonie Huddy, Stanley Feldman, and Payel Sen The continuing relevance of whites' explicit bias - and reflections on the tools to measure it Maria Krysan The public's (mis)understanding of implicit bias. Public attitudes on implicit bias Yulia Baskakova, Gary Langer, Jon A. Krosnick, and Allison De Jong The mass public's view of implicit bias, with implications for scientific communication in a politically polarized age Cindy D. Kam and Andrew M. Englehardt

Notes:

Title from publisher's bibliographic system (viewed on 24 Dec 2024).

ISBN:

9781108881753

1108881750

9781108892957

1108892957

9781108885492

1108885497

OCLC:

1373844606