How can researchers overcome biases and ensure objectivity when merging qualitative and quantitative data in a mixed-methods approach?

Researchers can overcome biases and ensure objectivity when merging qualitative and quantitative data in a mixed-methods approach by clearly defining the research questions and objectives before collecting data. They should also use multiple data collection methods to triangulate findings and cross-validate results. Additionally, researchers can involve multiple researchers in the data analysis process to reduce individual biases and increase the reliability of the findings. Finally, conducting member checks with participants to validate findings can help ensure the accuracy and objectivity of the data interpretation.