Qualitative Secondary

Qualitative secondary analysis (QSA) involving assessment of information collected by previous researchers offers an opportunity to maximise data utility. Secondary data including research articles, policy documents, news articles, etc. allows reanalysis of data to obtain an answer for the original question but by using different statistical techniques. However, qualitative secondary analysis approach requires explicit description to conceptualise the outcomes of the process.

How to pave the way for effective qualitative secondary analysis?

• 1 Determining Research Question In the initial step identify the main goal of your study or the issue you wish to find solutions for.
• 2 Identifying DataIn the initial step identify the main goal of your study or the issue you wish to find solutions for.
• 3 Assessment of Relevance DataConsidering elements such as the original purpose of the gathered information, evaluate the relevance, consistency and credibility of the data.
• 4 Data AnalysisIn the final step perform data analysis using relevant tool, obtain and interpret the results.