How can researchers navigate the challenges of combining quantitative and qualitative data in a mixed-methods approach, and what strategies can be employed to overcome potential biases or discrepancies in interpretation?

Researchers can navigate the challenges of combining quantitative and qualitative data in a mixed-methods approach by clearly defining research questions, ensuring data triangulation, and using a systematic approach to data analysis. Strategies to overcome potential biases or discrepancies in interpretation include conducting member checks, using multiple coders for data analysis, and integrating findings through a process of constant comparison. It is also important for researchers to be transparent about their methods and limitations to enhance the credibility and trustworthiness of their findings.