How can researchers overcome the inherent biases and assumptions that may arise when combining qualitative and quantitative data in mixed methods research, in order to ensure the validity and reliability of their findings?

Researchers can overcome biases and assumptions in mixed methods research by clearly defining their research questions and objectives, using a systematic approach to data collection and analysis, and triangulating data from multiple sources. They should also engage in reflexivity by acknowledging their own biases and assumptions, and consider how these may influence their interpretation of the data. Additionally, researchers can enhance the validity and reliability of their findings by using established methods for integrating qualitative and quantitative data, such as data transformation or comparison techniques.