Component 2: the philosophical foundations of sociological research, including positivism and interpretivism, the question of whether sociology is a science, primary and secondary data, quantitative and qualitative data, and key concepts such as reliability, validity, representativeness and objectivity.

What this dot point is asking

Component 2 begins with the philosophy behind sociological research: the split between positivism and interpretivism, the debate over whether sociology is a science, the kinds of data sociologists collect (primary/secondary, quantitative/qualitative), and the key concepts (reliability, validity, representativeness, objectivity) that recur throughout the methods paper. These foundations explain why a method is chosen, not just what it is, which is exactly what the methods paper rewards.

The answer

Two views of how to study society

Positivists such as Comte and Durkheim model sociology on the natural sciences. Durkheim's study of suicide treated suicide rates as social facts explained by social forces, using quantitative data to find correlations. Positivists prioritise reliability, objectivity and representativeness, favouring experiments, official statistics and structured questionnaires.

Interpretivists follow Weber, who argued that explaining human behaviour requires Verstehen, understanding the subjective meanings behind action. They prioritise validity and depth, favouring unstructured interviews, participant observation and personal documents. Realists take a middle path, accepting underlying structures that may not be directly observable (as in much natural science) and using both quantitative and qualitative methods.

Is sociology a science?

The science debate follows directly. Positivists say yes: society contains observable, law-like regularities, so the methods of natural science apply. Interpretivists say no, or not in the same way: human action is meaningful and cannot be measured like matter, so understanding, not measurement, is the goal. Postmodernists reject the idea of a single objective truth altogether, while realists point out that even natural science studies unobservable structures and processes, so sociology can be scientific in a broader sense. Karl Popper's idea that science must be falsifiable is often used to question whether sociological theories are truly scientific.

Types of data and the key concepts

Two distinctions about data run through the paper:

• Primary data is collected first-hand by the researcher (questionnaires, interviews, observation). Secondary data is collected by others and reused (official statistics, previous research, documents).
• Quantitative data is numerical, good for patterns and correlations. Qualitative data is rich and non-numerical (words, meanings), good for depth.

Four concepts recur whenever a method is evaluated:

• Reliability: would the study give the same result if repeated? (Favoured by positivists; structured methods score highly.)
• Validity: does it measure what it claims to, giving a true picture? (Favoured by interpretivists; in-depth methods score highly.)
• Representativeness: does the sample reflect the wider population, so findings can be generalised?
• Objectivity: is the research free from bias and the researcher's values?

Examples in context

A strong answer links a method to the theoretical position behind it, defines the four concepts precisely, and treats the science debate as genuinely two-sided.

Try this

Q1. Explain the difference between reliability and validity. [6 marks]

• What the marker wants. A clear distinction (AO1): reliability is whether a study would give the same result if repeated (favoured by positivists), validity is whether it measures what it claims and gives a true picture (favoured by interpretivists), with an example of a method that scores highly on each.

Q2. Analyse two reasons why interpretivists reject the positivist approach to research. [12 marks]

• Cue. Two developed points: human action is meaningful so requires Verstehen rather than measurement (Weber), and quantitative methods lack validity because they impose categories rather than uncovering how people see their world, each explained and linked to the preference for qualitative methods.