Secondary analysis encompasses a variety of research techniques that involve the use of publicly accessible information and data that were originally collected by other researchers or for different purposes, such as government statistics, census data, survey data archives, historical documents, and media content. Researchers conducting secondary analysis analyse these existing datasets to address new research questions, explore different aspects of a topic, or replicate previous studies using different samples or methods. This approach can be cost-effective and time-saving, as the data collection has already been completed, and it allows researchers to study large-scale trends or historical patterns that might be difficult or impossible to investigate through primary data collection. However, researchers must carefully consider the limitations of using secondary data, such as the original purpose of the data collection, the methods used, and the potential for missing or incomplete information.