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Predicting Implicit and Explicit Racial Bias from Past Interracial Experience
University of Washington Department of Psychology Research Festival May 27, 2015 Michael P. McDonald Advised by Tony Greenwald
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Measuring Implicit Racial Attitude
African American OR Pleasant European American OR Unpleasant Pleasure Glorious Wonderful Laughter Joy Happy Peace Love Agony Hurt Awful Nasty Terrible Failure Evil Horrible
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Measuring Implicit Racial Attitude
African American OR Unpleasant European American OR Pleasant Agony Hurt Awful Nasty Terrible Failure Evil Horrible Pleasure Glorious Wonderful Laughter Joy Happy Peace Love
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Scoring IAT Data Latencies to classify opposing pairs are used to compute a D score Negative indicates Black preference Positive indicates White preference Zero indicates neutral (no preference)
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Project Implicit Publicly accessible website
Variety of IATs (Age, Race, Gay/Straight) 30,000-50,000 Race IATs per month Self-selection Internet access, higher SES, more liberal Can provide basis for laboratory testable hypotheses
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Explicit Attitudes: Likert Preference
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Explicit Attitudes: Thermometer Ratings
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Demographics
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Individual Differences on Implicit & Explicit Measures
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Whites show more implicit than explicit in-group (pro-White) bias
. . . Mean Explicit = +.41 . . . Mean Implicit = +.83
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Black+Mixed respondents show more explicit Black preference but almost no implicit preference
_ _ Mean Explicit = -.56 _ _ Mean Implicit = +.11
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Implicit attitude distributions overlap much more than explicit attitude distributions
_ _ Mean (Black) Mean (White) _ _ Mean (Black) Mean (White)
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Questionnaire View
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Environment Items Appropriate descriptions of the neighborhood I lived longest in before age 10 are (select all that apply) racially diverse ethnically diverse minority Black majority Black minority White majority White Neighborhood I lived longest in from 10 to 18 Teachers I had in elementary and middle school Classmates in elementary and middle school Teachers I had in high school Classmates in high school Notice that these items lack qualification (strong, close, etc.)
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Relationship Items I have a parent who is (select all that apply):
Asian Black Hispanic Native American Pacific Islander White close family member of my own generation close family member younger than my generation strong childhood friendship strong post-childhood friendship romantic relationship highly admired preschool or elementary school teacher highly admired middle or high school teacher
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Processing Multiple Response Data
Items become binary responses “Parent” becomes Parent_Black, Parent_White, etc. Combined items were fashioned based on responses: Parent item = Parent_White – Parent_Black Repeated with all Relationship & Environment Items
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Processing IAT Data Inclusion criteria:
No more than 10% of responses < 300ms No more than 40% error rate Must be either US citizen or US resident
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Findings and conclusions
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Previous interracial experience predicts explicit attitudes better than implicit attitudes
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Relationship items are more powerful predictors of attitudes, especially in Black+Mixed respondents
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Familial relationships and friendships are more effective predictors, followed by school relationships
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Next Steps Collect more data Select and retain most effective items
Examine data from other race & ethnic groups Archive data on Open Science Framework & make publicly available
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Acknowledgements With great appreciation for: Tony Greenwald
Frank Kaiyuan Xu Teri Kerby Daniel Fredinburg † The Project Implicit Team
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