Bias and Debiasing Strategies in Qualitative Data Collection

Abstract A widespread view has it that qualitative research in the social sciences is of poor quality because it lacks effective debiasing methods. In this paper, I zoom in on researcher bias in qualitative data collection. First, I provide a brief outline of qualitative data collection and develop a suitable account of bias. On that basis, I argue that qualitative researchers may mitigate researcher bias through the combined use of two strategies that capitalize on main characteristics of qualitative data collection. Lastly, I defend the two debiasing strategies against possible objections to their effectiveness.