Information bias can lead to either an overestimation or underestimation of the true association between an exposure and an outcome. It can result in confounding and affect the internal validity of the study. For example, if recall bias leads to differential misclassification of exposure status, the study might incorrectly conclude that there is an association when there is none (false positive) or fail to detect an existing association (false negative).
