Breaking down the question
The command word is "differentiate", which asks you to set the two families of method side by side and draw out their contrasts on clear axes of comparison. This is not an invitation to describe each method in isolation and hope the differences emerge on their own. The examiner wants a structured comparison in which qualitative and quantitative approaches are held against the same yardsticks — their philosophical roots, their aims, the kind of data they generate, their techniques, and their strengths and limitations. An answer that runs two separate essays under one heading misreads the demand.
You should also recognise the deeper theoretical quarrel behind the question. The two methods are not merely different tools; they descend from rival visions of what sociology is. Quantitative method carries the positivist ambition to study society with the precision of the natural sciences, while qualitative method grows from the interpretive conviction that human action must be understood from within, through meaning. Naming this divide early signals that you grasp the methodological stakes, not just the surface techniques. A solid grounding in research methods in sociology allows you to treat the contrast with confidence.
How to approach it
Open with a short framing that presents the two methods as expressions of the positivism–interpretivism debate, so the reader knows the comparison rests on foundations, not fashion. Resist the temptation to define both terms at length before comparing; the definitions should do their work inside the comparison itself.
Then organise the body around explicit points of difference rather than around the two methods taken one after another. Useful axes are epistemological basis, purpose, nature of data, typical techniques, sampling and scale, the researcher's relationship to the subject, and criteria of rigour such as reliability against validity. Under each axis, state the quantitative position and the qualitative position in the same breath. This produces genuine differentiation and keeps the answer tightly analytical.
Close by resisting a crude either–or verdict. The strongest scripts note that the contrast, while real, is increasingly softened in practice through mixed methods and triangulation, and that the choice of method should follow the research problem rather than dogma. This evaluative turn lifts the answer above a mechanical list of contrasts.
Model answer
Sociological enquiry has long been divided between two broad methodological traditions — the quantitative and the qualitative. Although often presented as a mere difference of technique, the division reflects a deeper disagreement about the nature of social reality and how it can be known. Quantitative method descends from positivism, the doctrine associated with Comte and given sociological form by Durkheim, which holds that society consists of observable, measurable facts governed by law-like regularities that can be studied with the objectivity of the natural sciences. Qualitative method descends from the interpretive tradition, articulated by Weber through the idea of verstehen, which insists that human beings act on the basis of meanings and that social life must therefore be understood from the actor's own point of view. To differentiate the two methods is to trace how these opposed starting points shape every subsequent choice.
The first and governing difference is epistemological. Quantitative research treats social facts as external things to be measured, seeking causal explanation and generalisable laws. Qualitative research treats social reality as constructed through meaning and interpretation, seeking understanding rather than measurement. Durkheim's insistence that social facts be studied as things captures the quantitative spirit, whereas Weber's programme of interpretive understanding captures the qualitative one.
From this flows a difference of purpose. The quantitative researcher aims to test hypotheses, establish correlations and, where possible, causal relationships, and to produce findings that hold across large populations. The qualitative researcher aims to describe and interpret the texture of social life — how people define their situations, sustain their identities and make sense of their worlds. One asks how much and how often; the other asks how and why in the sense of subjective meaning.
The nature of the data differs accordingly. Quantitative method yields numerical data — rates, frequencies, distributions — which can be tabulated, subjected to statistical analysis and displayed as measurable variables. Durkheim's study of suicide, built on official statistics and correlations between suicide rates and social integration, is the classic exemplar. Qualitative method yields rich textual, verbal or visual data — field notes, transcripts, life histories, observed interactions — which are analysed for themes, meanings and processes rather than counted.
The techniques diverge in step with the data. Quantitative research relies on structured questionnaires, social surveys, structured interviews, official statistics and experiments, using large probability samples so that results may be generalised. Qualitative research relies on participant observation, unstructured or in-depth interviews, focus groups, case studies and ethnography, using smaller purposive samples chosen for their relevance rather than their representativeness. The quantitative researcher typically stands at a distance to preserve objectivity, while the qualitative researcher enters the field and builds rapport, treating closeness to the subject as a source of insight rather than a threat to neutrality.
The two traditions are also judged by different criteria of rigour. Quantitative work prizes reliability — the capacity of a study to be repeated with consistent results — and representativeness, and it is often criticised for a shallow validity, since standardised instruments may impose the researcher's categories and miss the meanings respondents actually hold. Qualitative work prizes validity and depth, claiming to capture social reality as experienced, but it is criticised for weak reliability and limited generalisability, since findings rest on small, context-bound samples and on the interpretive judgement of a single observer. Positivists further charge that qualitative research lacks objectivity, while interpretivists charge that quantitative research produces a spurious precision that reduces meaningful action to lifeless numbers.
These contrasts, though real, should not be pressed into a rigid opposition. Much contemporary research combines the two through triangulation, using quantitative data to establish patterns and qualitative data to illuminate the meanings behind them, so that each compensates for the other's weakness. The survey may map the extent of a phenomenon while ethnography explains its texture. The mature position holds that method should be chosen to fit the research problem rather than dictated by allegiance to one camp, and that the quantitative and qualitative approaches are complementary instruments in a common enterprise rather than warring creeds.
In sum, the two methods differ in their philosophical roots, in what they seek, in the data and techniques they employ, and in the standards by which they are judged. The quantitative tradition offers breadth, measurement and the promise of generalisation; the qualitative tradition offers depth, meaning and fidelity to lived experience. Sociology is richest when it draws on both.
Examiner's perspective
Examiners look first for genuine differentiation. Scripts that describe surveys for a page and then ethnography for a page, without ever setting the two against shared criteria, read as two half-answers rather than one comparison and are marked down. The device that separates strong answers is the point-by-point contrast across clear axes — epistemology, aim, data, technique, and rigour — with the quantitative and qualitative positions stated together under each.
The second discriminator is theoretical grounding. Locating the divide in the positivism–interpretivism debate, and anchoring it in Durkheim and Weber, shows that the candidate understands why the methods differ, not merely how. The reliability-versus-validity contrast is a reliable mark-earner when handled precisely. Finally, the top band rewards balance: a candidate who resists dogmatic preference and closes with mixed methods and triangulation demonstrates methodological maturity, whereas one who simply declares one method superior forfeits the evaluative marks.