Implicit Association Tests (IATs) are designed to measure implicit biases by assessing the speed and accuracy of participants’ responses in categorizing different stimuli. One aspect of reliability is test-retest reliability, which refers to the consistency of results when the test is administered multiple times to the same individual. 

Studies examining test-retest reliability of IATs have shown moderate-to-high correlations, indicating a certain level of consistency in measuring implicit biases over time. This suggests that IATs can capture stable individual differences in implicit biases. 

Reliability of the results depends on several factors, including how the test is designed. Split Second Research’s implicit online surveys can’t be faked, so brands can have honest, objective measure of how consumers truly feel.