When should a researcher use a convergent parallel design in mixed methods?

• A. When qualitative and quantitative data are collected simultaneously and merged during interpretation.
• B. When only qualitative data will be collected.
• C. When qualitative and quantitative data are collected sequentially.
• D. When data are incompatible and should be analyzed separately.

Answer: (A)

The question tests understanding of how a convergent parallel design works in mixed methods. The defining move is collecting qualitative and quantitative data at roughly the same time and then integrating or merging the results during interpretation to see how they inform the same research question.

This approach is used when you want both numerical trends and rich, descriptive insights to address the question together, allowing you to corroborate findings across methods and gain a fuller picture. The other options describe different designs: collecting only qualitative data, collecting the two strands sequentially, or analyzing incompatible data separately, none of which capture the simultaneous data collection and integrated interpretation that defines a convergent parallel design.