Base-rate sensitivity through implicit learning
Principal Investigator(s): View help for Principal Investigator(s) Andrew Wismer, University of Central Florida; Corey Bohil, University of Central Florida
Version: View help for Version V2
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Wismer---Bohil-data-archive--br-obs-wm-.xlsx | application/vnd.openxmlformats-officedocument.spreadsheetml.sheet | 35.5 KB | 09/22/2016 11:31:AM |
Wismer---Bohil-data-archive--br-obs-wm-revised.xlsx | application/vnd.openxmlformats-officedocument.spreadsheetml.sheet | 45 KB | 03/12/2017 09:37:PM |
Project Citation:
Wismer, Andrew, and Bohil, Corey. Base-rate sensitivity through implicit learning. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2017-03-13. https://doi.org/10.3886/E100268V2
Project Description
Summary:
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This work assessed the relative contributions of implicit and explicit learning to developing base-rate sensitivity in perceptual categorization.
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