Why Research Bias Questions Are Standard in the Viva
Questions about research bias appear in almost every Malaysian postgraduate viva because bias in research — systematic errors in data collection, analysis, or reporting that lead to conclusions that do not accurately represent reality — is a fundamental threat to research validity and trustworthiness. Examiners ask about bias not to find evidence of misconduct but to evaluate whether you have thought critically about the ways in which your research design, your data collection procedures, and your analytical approach may have systematically skewed your findings. Being prepared to answer research bias questions honestly and specifically demonstrates methodological sophistication.
The Specific Bias Types to Prepare For
Different research designs are vulnerable to different types of bias. For survey-based quantitative studies, social desirability bias — participants answering in ways they believe are socially acceptable rather than truthfully — is the most common threat to validity. Sampling bias — a sample that does not represent the intended population — is a second major concern. Common method bias — where both the predictor and outcome variables are measured by the same self-report instrument at the same time — is a third, and it is one that quantitative examiners probe specifically.
For qualitative studies, researcher bias — the influence of the researcher’s own assumptions, values, and theoretical commitments on data collection and interpretation — is the primary bias concern. Confirmation bias — the tendency to notice and emphasise evidence consistent with a preferred interpretation while minimising contradictory evidence — is a specific form of researcher bias that qualitative methodology addresses through reflexivity and member checking.
Describing What You Did to Mitigate Bias
For each type of bias relevant to your study, prepare a specific description of the mitigation strategy you employed. For social desirability bias: “Questionnaires were administered anonymously online, with explicit assurances that responses were not linked to student records, to reduce social desirability effects.” For researcher bias in qualitative work: “I maintained a reflexivity journal throughout data collection and analysis, regularly documenting my assumptions and how participant responses were challenging or confirming them.” For common method bias: “Following Harman’s single factor test, the analysis revealed that no single factor accounted for the majority of variance in the data, suggesting common method bias did not significantly inflate the relationships observed.”
Describing specific mitigation strategies rather than simply acknowledging that bias exists shows examiners that you engaged with these threats actively during the research process rather than acknowledging them only in retrospect as theoretical limitations.
