Information bias arises from errors in the measurement or classification of variables. This can include recall bias, where participants do not accurately remember past exposures, and interviewer bias, where the interviewer's knowledge influences how data is collected. Inaccurate measurements can lead to misclassification, which can dilute or exaggerate the association between the exposure and the outcome.
