How can researchers utilize reflexivity to acknowledge and address their own biases and assumptions when combining qualitative and quantitative data in their studies, and what impact does this self-awareness have on the validity and reliability of their findings?
Researchers can utilize reflexivity by actively reflecting on their own biases and assumptions throughout the research process. This includes acknowledging the potential influence of their own perspectives on data interpretation and analysis. By being self-aware, researchers can take steps to mitigate the impact of their biases on the integration of qualitative and quantitative data, ultimately improving the validity and reliability of their findings. This self-awareness allows researchers to critically evaluate their own perspectives and ensure that their interpretations are grounded in the data rather than their own preconceptions.
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