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Implicit Asian-American Bias

We are interested in predicting Implicit Asian-American Bias scores for the Implicit Associate Task (IAT) in US citizens. We are predicting differences in response times for White Americans and Asian Americans on the IAT, where higher numbers indicate a preference for White Americans over Asian Americans. IAT scores are on a scale of -2 to +2.

We obtained implicit stereotypes data from Project Implicit. For implicit Asian-American bias, we used the implicit association test (IAT) (1). In this test, positive IAT D scores indicate a relative preference for the White over Asian-American group. To correct sample non-representativeness, we weighted the estimates based on race, age, and political orientation (2).

Please note the data files were updated on May 10, 2020.

Data in CSV
Excel spreadsheet for your forecasts

Sources:
http://implicit.harvard.edu
code for variable weighting available at: https://osf.io/t4bnj

References:

(1) A. G. Greenwald, B. A. Nosek, M. R. Banaji, Understanding and using the Implicit Association Test: I. An improved scoring algorithm. J. Pers. Soc. Psychol. 85, 197–216 (2003).

(2) M. DeBell, in The Palgrave Handbook of Survey Research, D. L. Vannette, J. A. Krosnick, Eds. (Springer International Publishing, Cham, 2018), pp. 159–162.