Breaking down the question
The question has two clear demands. First, it asks you to demonstrate conceptual clarity about what a mixed method approach actually is — not merely using two techniques, but combining quantitative and qualitative traditions within a single research design. Second, it asks for a balanced discussion of strengths and limitations, which means an evaluative rather than descriptive treatment.
The phrase "in social research" signals that the examiner wants the answer anchored in the epistemological debate that runs through the discipline — the tension between positivism and interpretivism. A strong answer treats mixed methods not as a mere toolkit but as a considered response to that tension. The 20-mark weight expects definitional precision, named exponents, illustrative examples and a reasoned conclusion.
Keywords to foreground include triangulation, methodological pluralism, sequential and concurrent designs, and the reliability–validity trade-off. The examiner is testing whether you understand both the promise of integration and the practical and philosophical costs it carries.
How to approach it
Open with a crisp definition that distinguishes mixed methods from simple multi-method work. Locate the approach within the wider methodological debate, referencing the positivist preference for measurement and the interpretivist emphasis on meaning. This framing shows the examiner you grasp why the approach emerged.
Then organise the body into two evaluative blocks — strengths and limitations — using named scholars such as Norman Denzin on triangulation and John Creswell on design typologies. Weave in a concrete illustration, for instance a study of poverty that combines survey statistics with life-history interviews. For deeper grounding you can point readers to our research methods notes.
Conclude with a measured judgement: mixed methods enrich sociological understanding but demand skill, resources and epistemological caution. Avoid a one-sided defence — the examiner rewards balance.
Model answer
Mixed method research refers to a design that deliberately integrates quantitative and qualitative approaches within a single study, so that the numerical breadth of the former and the interpretive depth of the latter reinforce one another. It is more than using several techniques; it is a principled combination of two research traditions that have historically been treated as rivals. The quantitative tradition, descending from positivism, prizes measurement, large samples, statistical inference and the search for causal regularities. The qualitative tradition, rooted in interpretivism and Max Weber's notion of verstehen, prizes meaning, context and the actor's own understanding.
The intellectual case for mixing rests largely on triangulation, a term popularised by Norman Denzin. Triangulation holds that a social phenomenon examined from more than one methodological angle can be understood more securely, because the weaknesses of one method are offset by the strengths of another. John Creswell systematised the field by distinguishing designs such as the sequential explanatory design, where a survey is followed by interviews to explain the numbers, and the concurrent design, where both strands run in parallel and are compared at the analysis stage.
The strengths of the approach are considerable. First, it improves validity through convergence — when a household survey shows rising indebtedness and life-history interviews independently reveal the same distress, confidence in the finding grows. Second, it captures both scale and texture: statistics establish how widespread a pattern is, while narratives explain why it occurs and how people experience it. A study of caste discrimination, for example, can measure exclusion in access to housing while interviews expose the everyday humiliations that figures cannot convey. Third, mixed methods allow one strand to compensate for gaps in the other; qualitative work can generate hypotheses that quantitative work then tests, or clarify puzzling survey results. Fourth, the approach suits complex, multi-layered problems such as migration, gender relations or the informal economy, where neither pure measurement nor pure interpretation is sufficient. Finally, findings tend to be more persuasive to diverse audiences, from policymakers who want numbers to practitioners who want lived detail.
The limitations, however, are equally real. The most fundamental is epistemological. Positivism and interpretivism rest on different assumptions about the nature of social reality and how it can be known; critics argue that welding them together risks incoherence, since a method is not a neutral instrument but carries a theory of knowledge. A researcher must therefore justify the combination rather than assume it. Second, mixed methods are demanding in practice — they require competence in two very different skill sets, more time, larger budgets and careful project management, resources that many researchers lack. Third, integrating divergent findings is genuinely difficult; when the survey and the interviews point in opposite directions, there is no simple rule for deciding which to trust, and premature synthesis can mislead. Fourth, questions of reliability and validity become tangled, because the criteria that qualitative and quantitative traditions use to judge good work are not the same. Fifth, there is a danger of tokenism, where a few interviews are appended to a survey merely to appear methodologically sophisticated, adding little genuine depth.
On balance, mixed method research is best understood as a pragmatic and increasingly mainstream response to the limits of any single approach. Used thoughtfully, with explicit justification for how and why the strands are combined, it produces a fuller and more credible account of social life than either tradition alone. Used carelessly, it multiplies cost and confusion without corresponding gain. The value of the method therefore lies less in the mere act of combining and more in the reflexive rigour with which the combination is designed and interpreted.
Examiner's perspective
Examiners reward candidates who show that mixing methods is an epistemological decision, not just a technical convenience. The commonest weakness is a purely descriptive answer that lists quantitative and qualitative techniques without engaging the positivism–interpretivism debate or naming the design typologies.
A high-scoring script defines the concept precisely, cites Denzin and Creswell, offers a concrete Indian illustration, and — crucially — treats limitations as seriously as strengths. Candidates who conclude with a nuanced judgement about reflexivity and justification, rather than an uncritical endorsement, signal the analytical maturity the examiner is looking for at this level.