In convergent parallel mixed-methods design, how are qualitative and quantitative results used in interpretation?

• A. They are compared to see if they agree, and then discarded if inconsistent
• B. Only the qualitative results drive conclusions
• C. They are interpreted separately and then reported independently
• D. They are integrated during interpretation to produce a final integrated interpretation

Answer: (D)

In a convergent parallel mixed-methods design, qualitative and quantitative data are collected at the same time, analyzed separately, and then integrated during interpretation to produce a single, integrated interpretation. This integration is the central step that combines the strengths of both approaches, allowing you to see how numerical patterns align with or diverge from rich, contextual themes. When results converge, they reinforce each other; when they diverge, the discrepancy prompts deeper explanation and a more nuanced understanding. For example, survey data might show high satisfaction, while interviews reveal specific areas for improvement; combining these insights during interpretation provides a fuller picture than either method alone. The other options misfit because discarding inconsistent results ignores the value of explaining discrepancies, relying on only one data type neglects the design’s purpose, and interpreting without integration misses the synthesis that gives a cohesive conclusion.