Published October 23, 2023
| Version v2
Dataset
Open
State-Level Implicit and Explicit Bias Index Against Asian Americans Across the United States
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1.
New York University
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2.
University of Toronto
Description
Using national data from Project Implicit, the authors examine state-level variations in implicit and explicit bias against Asian Americans held by non–Asian Americans (n = 196,678) from 2018 to 2022. The findings reveal considerable heterogeneity in implicit and explicit bias across states.
Files
Data_State-LevelImplicitandExplicitBiasIndexAgainstAsAm.csv
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Code_ImplicitandExplicitBiasIndexAgainstAsianAmericans.do
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Data_State-LevelImplicitandExplicitBiasIndexAgainstAsAm.csv
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Data_State-LevelImplicitandExplicitBiasIndexAgainstAsAm.dta
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README.md
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Additional details
Related works
- Is supplement to
- Journal article: https://journals.sagepub.com/doi/10.1177/23780231231196517 (URL)
- References
- Dataset: https://osf.io/y9hiq/ (URL)
- Dataset: https://www.census.gov/programs-surveys/acs/data.html (URL)
- https://electionlab.mit.edu/data (URL)
Dates
- Other
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2018/2022dates analyzed