Researcher bias can slip into your study through everyday decisions, from sampling to interpretation. Common forms include selection, confirmation, interpretation, and reporting bias. You can reduce these risks with reflexive notes, peer debriefing, triangulation, member checking, and clear audit trails.
Learn more: https://qdacity.com/researcher-bias/
You can read the full text of the short and long abstract on zenodo:
https://zenodo.org/records/19237858
I ll be presenting these ideas in a 10 min short talk. Feedback is welcome, especially from #qualitativeresearch : did we portray the process of data creation more or less acurately? Did we miss an important tool to ensure rigor?
Be kind, I am dipping my feet for the first time into these waters 😅
I am also hoping to develop this into a full paper!




