How can researchers address potential biases in their data collection and analysis when incorporating both qualitative and quantitative methods in their research design?

Researchers can address potential biases in their data collection and analysis when incorporating both qualitative and quantitative methods by clearly defining their research questions and objectives. They should also use multiple sources of data to triangulate findings and ensure validity. Additionally, researchers can employ techniques such as member checking and peer debriefing to verify the accuracy of their data. Finally, maintaining transparency in their research process and acknowledging any potential biases can help mitigate their impact on the study's results.