Open-access March 2024 Journal of Appplied Psychology article based on a computer simulation and college admissions data of over 400,000 students challenges the "historical" finding that no bias exists in testing. This means that different groups (i.e., majority vs. underrepresented) with the same test scores might be predicted differently. For instance, two students with the same SAT scores might not be predicted to have identical GPAs due to bias. These results support test-optional practices and policies and guide future research to focus on the "why" rather than just the "if" of test bias. Get the article at https://doi.org/10.1037/apl0001152
