Mixed methods research integrates quantitative and qualitative approaches within one study or a programme of research to capitalise on the strengths of each. Quantitative data can provide breadth and generalisability, while qualitative data offer depth and contextual understanding. Integration can occur at design, data collection, analysis or interpretation stages. Hence, the approach described in the stem is accurately termed mixed methods research.
Option A:
Experimental research refers to designs involving manipulation and control of variables, but it need not combine qualitative and quantitative approaches. It may be purely quantitative, so it does not match the stemβs emphasis on intentional combination.
Option B:
Longitudinal research focuses on repeated observations over time and can be conducted in qualitative, quantitative or mixed ways, but the term itself does not specify method integration. Thus, it is not the best answer here.
Option C:
Option C, mixed methods, acknowledges that different forms of data can complement each other through triangulation, expansion or explanation. This multi-strand design corresponds exactly to the description of combining quantitative and qualitative methods for more complete understanding.
Option D:
Historical research investigates past events using documents and records and may use qualitative or quantitative techniques, but it is not defined by their intentional combination in a single design. Therefore, historical is not appropriate here.
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