Measurement error can arise from inaccurate data collection methods, such as faulty instruments, misreporting by participants, or errors in data entry. Such errors can lead to misclassification bias, which may either dilute or exaggerate the true association. Ensuring rigorous data collection protocols and validation studies can help reduce measurement error.
