Research Support
Mixed Methods
Two datasets only help if you say how they talk to each other.
Mixed methods studies often turn out to be two separate studies bound together, with a conclusion that leans on whichever strand was easier. Examiners look for integration: why you mixed, which strand leads, and what the qualitative data explains about the numbers. We design for that from the start, or repair it if the data is already collected.
What you get
- A design named properly: sequential, concurrent, embedded
- The reason for mixing, stated before the results
- Sequencing and weighting made explicit
- Integration written, not left to the reader
- One conclusion drawn from both strands
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