Bias
A term drawn from quantitative research, bias technically means a systematic error, where a particular research finding deviates from a 'true' finding. This might come about through errors in the manner of interviewing, or by errors in sampling. In qualitative research this is a problematic concept, since by definition the qualitative researcher is part of the process, and all researchers are different. This human factor has been said to be both the greatest strength and the greatest weakness of qualitative method. What can be done in commercial qualitative research, however, is to minimise obvious and avoidable sources of bias, for example by not confining all the fieldwork to one social group or geographic location, by taking steps to recognise the personal views of the researcher, (using techniques such as bracketing), and by working in teams.
About the AQR Glossary:
This glossary is compiled and maintained by the Association for Qualitative
Research, the foremost authority on qualitative practice, training and
innovation, and the global hub of qualitative thinking.
If you are a qualitative research consultant or a business offering qualitative
research services, please consider joining the AQR and supporting the organisation.
Benefits of AQR Membership