ifyouwannabemylover
Chasing Vanity
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Pro-female and anti-male biases are more influential than race and other factors in Implicit Association Tests
New research provides evidence that people generally have a positive implicit bias towards women and a negative implicit bias towards men, as well as a similar but less consistent implicit bias in favor of people from higher social classes. But the new research, which examined data from nearly...
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New research provides evidence that people generally have a positive implicit bias towards women and a negative implicit bias towards men, as well as a similar but less consistent implicit bias in favor of people from higher social classes. But the new research, which examined data from nearly 6,000 individuals, found inconsistent evidence for implicit biases based on race.
[...]
Based on the photographs’ ratings, the researchers assembled groups of eight photos varying in race and income but matched in age, which were used in Implicit Association Tests completed by 840 undergraduate students. Connor and his colleagues found that participants showed a bias in favor of targets with higher perceived incomes. The implicit biases were not significantly affected by target groups’ race.
[...]
After testing 371 undergraduates, the researchers found that people’s implicit evaluations were mostly influenced by the combination of the target’s gender and social class. They observed that targets who were upper-class females received particularly positive evaluations.
After examining responses from 1,527 undergraduates, the researchers again found that gender “exerted effects many times larger than” race, social class, and age.
The first three studies utilized undergraduate samples, which might limit the generalizability of the results. To address this issue, Connor and his colleagues recruited a nationally representative sample of 2,466 U.S. adults via Prolific. The researchers also employed three different tests of implicit bias: single-target IATs (ST-IATs), evaluative priming tasks (EPT), and affective misattribution procedures (AMP).
The researchers again found that gender was the most significant factor affecting implicit evaluations, with female targets receiving more positive evaluations than male targets across all three methods used to measure implicit evaluations.
muh racism
male = death
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