secondary data analysis

Secondary data analysis involves examining data that was collected previously by other researchers, organizations, or sources. Instead of gathering new data through surveys or experiments, analysts review existing datasets to find new insights, answer different questions, or support ongoing research. This approach saves time and resources and allows for broader analysis across larger or more diverse populations. It requires understanding the original data’s context, accuracy, and limitations to ensure valid conclusions. Overall, secondary data analysis is a valuable method for maximizing the use of existing information to inform decisions, policies, and further research.