Reflexivity in Quantitative Research

This case study, based on Lakew’s chapter “Statistical Tales: Bringing in Reflexivity to Make Sense of Quantitative Data”, highlights how reflexivity can be meaningfully applied in quantitative research—an area traditionally seen as value-neutral and objective. Lakew critically examines their own positionality and interrogates the underlying assumptions within statistical practice. By acknowledging both personal biases and dominant norms in the field, Lakew demonstrates how methodological choices and data interpretation are shaped by subjective perspectives.

This reflexive approach enhances the rigour and transparency of the research, offering a valuable counter to the misconception that quantitative methods are inherently free from bias. The chapter serves as a practical guide for quantitative researchers who wish to incorporate reflexivity to improve the integrity and trustworthiness of their work. It aligns with the Inclusive Research Hub’s emphasis on confronting the subjective dimensions of research and embracing them as sources of insight rather than distortion.

We recommend reading the chapter in full:

Statistical Tales: Bringing in Reflexivity to Make Sense of Quantitative Data by Lakew