What does 'secondary data analysis' involve?

The correct answer is that secondary data analysis involves analyzing data that has already been collected for a different purpose. This method utilizes existing data sources, which can include reports, studies, databases, or previous research findings, to draw new conclusions or insights without the need for fresh data collection. It is a cost-effective approach that can save time and resources, as the researcher can leverage the wealth of information already available.

Secondary data analysis allows researchers to refine their questions, generate new hypotheses, or validate findings from primary research. It requires careful consideration of the context in which the original data was collected to ensure its relevance and applicability to the new research aims. By understanding the original purpose and methodology behind the data collection, researchers can better interpret the information at hand and ensure robust analysis.

In contrast, the other options focus on direct data collection methods such as surveys, interviews, or other means to gather new information directly from subjects, which falls under primary data collection techniques rather than secondary data analysis.