Two Concepts That Are Often Confused
Generalisability and transferability are related but distinct concepts in research methodology, and Malaysian viva examiners ask about both — often using the terms in ways that test whether the candidate understands the distinction. Generalisability is a quantitative research concept referring to the extent to which findings from a sample can be applied to the broader population from which the sample was drawn, typically established through probability sampling and statistical inference. Transferability is a qualitative research concept referring to the extent to which findings from one specific context might be applicable to another similar context, established through thick description rather than statistical representation.
Many candidates answer generalisability questions with quantitative logic when they conducted qualitative research, or treat transferability as simply a softer version of generalisation. Both misapplications signal to examiners that the candidate has not fully internalised the epistemological differences between quantitative and qualitative research traditions.
How to Answer Generalisability Questions for Quantitative Research
For quantitative theses, the generalisability question is essentially a question about your sampling strategy and the match between your sample and your target population. “What population can your findings be generalised to?” requires a specific, bounded answer. A probability sample drawn from a well-defined sampling frame allows statistical generalisation to the population from which the sample was drawn — not to populations that were not represented. A convenience sample, however large, does not support statistical generalisation to any broader population.
Prepare a clear statement of what your sample represents and what it does not. “The stratified random sample of 300 doctoral candidates drawn from all Malaysian public research universities allows statistical generalisation to the population of Malaysian public research university doctoral candidates in 2024–2025. Findings cannot be generalised to private university doctoral candidates, nor to doctoral candidates in other national contexts, without additional research.” This response is specific about what the sample supports and honest about its boundaries.
How to Answer Transferability Questions for Qualitative Research
For qualitative theses, the equivalent question is about transferability: “How might your findings apply in contexts other than the one you studied?” The answer is not statistical — it does not involve confidence intervals or sampling error. Instead, it invokes the concept of thick description: when you have described your research context, participants, and setting in sufficient detail, readers who know other contexts can judge for themselves whether your findings are likely to transfer to their setting.
“I cannot claim statistical generalisation from this purposive sample of sixteen doctoral candidates at one Malaysian institution. However, the thick description I have provided of the institutional context, participant characteristics, and data collection conditions allows readers who work in similar institutional settings to assess whether the patterns I found are likely to be recognisable in their own context. The theoretical insights the analysis produced — about how institutional support mediates the relationship between motivation and persistence — may have broader relevance than the specific findings, and I have proposed future research that could test this theoretical transferability across different institutional settings.” This is the appropriate answer to a transferability question from a qualitative researcher who understands the epistemological framework their study operates within.
When the Examiner Asks the Wrong Question for Your Design
Sometimes an examiner trained in quantitative research asks a generalisability question of a qualitative thesis, or vice versa. Recognising this as a framework mismatch — and gently redirecting the conversation to the appropriate concept for your design — is itself a demonstration of methodological sophistication. “In my qualitative design, the appropriate concept is transferability rather than statistical generalisation — let me explain how I addressed that.” This redirection, delivered respectfully and with a genuine explanation of the distinction, shows that you understand your methodology deeply enough to recognise when a question is using the wrong conceptual frame. Discussing generalisability and transferability in your Malaysian viva with this level of precision demonstrates the kind of methodological self-awareness that characterises genuinely competent postgraduate research.
