Description: Longitudinal study is a research method characterized by the repeated observation of the same variables over an extended period of time. This approach allows researchers to analyze changes and trends in data, providing a deeper insight into how variables relate to each other over time. Unlike cross-sectional studies, which capture data at a single point in time, longitudinal studies offer a dynamic perspective, allowing for the tracking of the evolution of specific phenomena, behaviors, or characteristics. This type of study is especially valuable in fields such as psychology, sociology, and medicine, where changes over time are crucial for understanding human and social development. Data collection can be conducted through various methods, including surveys, interviews, or direct measurements, and results can be analyzed using statistical techniques to identify patterns and correlations. In the context of artificial intelligence, longitudinal studies can be used to train models that require historical data to predict future trends, making them an essential tool for informed decision-making and the development of effective strategies.
