Repeated data collection is one of the defining features of a Longitudinal Study. Researchers collect information from participants at several predetermined intervals, creating a dataset that shows how variables change over time. Consistency in measurement is important because differences in collection methods can affect results. Proper scheduling, participant communication, data management, and documentation can help researchers maintain the quality of a long-term study.
