O Level Sociology: How Sociologists Approach the Study of Society — Revision Notes (Cambridge 2251)

Key question 1.1 of Cambridge O Level Sociology (2251) asks How do sociologists approach the study of society? There are two main approaches: positivism, which treats sociology as a science and measures society with numbers, and interpretivism, which tries to understand people’s meanings using in-depth qualitative evidence. Researchers can also combine methods, and every research choice can be judged using concepts such as validity, reliability and representativeness.

Fuller explanations: O Level research approaches and types of data guide.

Syllabus coverage

2251 syllabus 2025–2027, 1.1: 1.1.1 the positivist approach; 1.1.2 the interpretivist approach; 1.1.3 approaches that combine different research methods and evidence (triangulation, longitudinal studies); 1.1.4 the analysis and evaluation of research choices (bias, interviewer effect, Hawthorne/observer effect, validity, reliability, representativeness, generalisability).

Definitions to learn

Term	Meaning in one line
Positivism	Studying society scientifically to discover causes
Interpretivism	Studying the meanings people give to their actions
Social facts	Social structures outside the individual that shape behaviour
Macro / micro	Whole society / small-scale interaction
Quantitative / qualitative	Numerical / descriptive data
Patterns and trends	Regularities and changes over time in data
Verstehen	Seeing the world through participants’ eyes
Objectivity / subjectivity	Free from / shaped by personal values
Triangulation	Checking findings with more than one method
Longitudinal study	Following the same group over time
Bias	Distortion of research by values or design
Interviewer effect	Answers shaped by the interviewer’s characteristics
Hawthorne effect	Behaviour changes because people know they are studied
Generalisability	Applying findings to the wider population

The two approaches compared

Question	Positivist answer	Interpretivist answer
What is society?	A structure of social facts	A product of interaction and meanings
What is the aim?	Discover patterns, trends and causes	Understand motivations and experiences
What data?	Quantitative	Qualitative
What matters most?	Reliability and objectivity	Validity and depth
Which methods?	Questionnaires, structured interviews, official statistics	Unstructured interviews, participant observation, diaries
Example	Townsend’s household survey of poverty (1979)	Goffman’s fieldwork in a psychiatric hospital (Asylums, 1961)

Criticisms in brief: positivism can impose the researcher’s categories and miss meaning; interpretivism uses small samples that are hard to repeat or generalise.

Combining approaches

• Triangulation: Barker (1984) used observation, interviews and questionnaires to study members of a new religious movement — each method checked the others.
• Longitudinal: the Young Lives study (from 2002) follows children in four countries to see how poverty shapes their lives. Problem: attrition (people dropping out) and high cost.

Evaluating research — exam checklist

When a question asks you to explain problems with research, check:

1. Sample — how big, how chosen, who is missing? (representativeness, generalisability)
2. Method — would it be repeated the same way? (reliability)
3. Truthfulness — could people lie, forget or exaggerate? (validity)
4. Researcher — could their presence or values affect results? (bias, interviewer effect, Hawthorne effect)

Worked example: a 4-mark “explain” answer

Explain why the interviewer effect may reduce the validity of research. (practice)

• Respondents may change their answers because of the interviewer’s age, gender, ethnicity or status — for example students giving “acceptable” answers about cheating to a teacher (2).
• This means the data does not reflect what respondents really think or do, so it is less valid — a true picture has not been obtained (2).

Worked example: a 14-mark evaluation plan

Evaluate the view that quantitative data is more useful than qualitative data. (practice)

1. For (positivist): numbers allow patterns, trends and comparisons; standardised methods are reliable and can be repeated; large samples make findings representative and generalisable; useful for government policy, for example national surveys of household poverty (Townsend, 1979).
2. Against (interpretivist): numbers cannot capture meanings and motivations; closed questions impose the researcher’s categories, lowering validity; qualitative work such as Goffman’s Asylums (1961) reveals experiences a survey would miss.
3. Middle ground: triangulation combines both — Barker (1984) used questionnaires alongside observation and interviews.
4. Conclusion: usefulness depends on the research aim; the strongest research often combines both types.

Common mistakes and exam traps

• Writing “positivists use numbers” without explaining why (to be scientific, objective, find causes).
• Thinking interpretivists ignore reliability completely — they simply value validity more.
• Confusing representativeness (is the sample typical?) with reliability (is the method repeatable?).
• Assuming the Hawthorne effect only happens in observations; it can affect any research where people know they are being studied.
• Forgetting the syllabus asks about causation and correlation as part of positivism.

Quick self-test

1. Give three features of positivism.
2. Define verstehen.
3. Give one strength of triangulation.
4. What is attrition in a longitudinal study?
5. Explain one reason why a study of one village may not be generalisable.

Frequently asked questions

Is one approach correct? No. The approach should fit the research aim; many sociologists combine both.

What does “macro” mean in an exam answer? Looking at society as a whole — structures such as the economy, education system or religion — rather than individual interactions.

How do I show evaluation in research questions? Use the 1.1.4 concepts by name and apply them to the research in the question or source.

Related pages: O Level positivism and interpretivism practice questions | O Level methods revision notes