Cambridge IGCSE Sociology: Research Approaches, Data and Investigation (0495)

Research methods are how sociologists collect and judge evidence about society, and in Cambridge IGCSE Sociology (0495) they form the compulsory Question 1 of Paper 1. The syllabus organises the topic as three key questions: how sociologists approach the study of society (1.1), what types of data and evidence they use (1.2), and how they investigate society through research design, sampling and methods (1.3). Question 1(e) asks you to plan your own research on a given topic, so you must be able to justify choices, not just define terms.

For the Paper 1 overview, see the research methods, identity and inequality guide.

Syllabus coverage

Cambridge IGCSE Sociology 0495, syllabus for 2025, 2026 and 2027 (Version 3), topic 1 Research methods:

Key question	Syllabus content
1.1 How do sociologists approach the study of society?	1.1.1 the positivist approach; 1.1.2 the interpretivist approach; 1.1.3 approaches that combine methods (triangulation, longitudinal studies); 1.1.4 analysing and evaluating research choices (bias, interviewer effect, Hawthorne/observer effect, validity, reliability, representativeness, generalisability)
1.2 What types of data and evidence do sociologists use?	1.2.1 primary and secondary data, qualitative and quantitative data; 1.2.2 secondary evidence (official statistics, historical and personal documents, digital sources, media content); 1.2.3 analysing data from summaries of studies, diagrams, tables, charts and graphs
1.3 How do sociologists investigate society?	1.3.1 stages of research design; 1.3.2 sampling frames and techniques (random, systematic, stratified, snowball, quota); 1.3.3 surveys, questionnaires, interviews and observations; 1.3.4 types of question; 1.3.5 theoretical and practical issues; 1.3.6 ethical issues

How do positivists and interpretivists study society? (1.1)

	Positivist approach (1.1.1)	Interpretivist approach (1.1.2)
View of society	Macro — society as a structure of social facts that shape individuals	Micro — society built from people’s interactions and meanings
Aim	Find patterns and trends, causation and correlation	Understand meanings and motivations in depth
Model	The scientific method: hypothesis, measurement, testing	Empathetic understanding — verstehen (Max Weber)
Data	Quantitative	Qualitative
Strength valued	Objectivity and reliability	Validity
Weakness	Misses meaning; imposes researcher’s categories	Subjectivity; hard to repeat or generalise

Émile Durkheim’s Suicide (1897) is the classic positivist study: he compared official suicide rates across countries and religious groups and argued that levels of social integration and regulation — social facts — explained the differences. Interpretivists reply that suicide statistics depend on how officials interpret deaths.

Correlation means two things vary together; causation means one produces the other. A correlation between poverty and low exam results does not on its own prove poverty causes them.

Can researchers combine approaches? (1.1.3)

• Triangulation — using more than one method or source to cross-check findings, for example a questionnaire followed by interviews with some respondents.
• Longitudinal studies — studying the same group repeatedly over time to see change; the British birth cohort studies, which have followed people born in a single week (in 1958 and 1970, for example) through their lives, are well-known examples. Strength: shows change and sequence. Limitations: expensive and people drop out (attrition).

How do you evaluate a research choice? (1.1.4)

Concept	Meaning	Example problem
Bias	Distortion from the researcher’s values or the design	Leading questions
Interviewer effect	Answers change because of who the interviewer is	Teenagers telling an adult interviewer what they think is acceptable
Hawthorne / observer effect	People change behaviour because they know they are studied	Named after the Western Electric Hawthorne works studies (1920s–1930s)
Validity	A true picture of what is being studied	Closed questions miss real feelings
Reliability	The same results if repeated	Unstructured interviews differ each time
Representativeness	The sample is typical of the population	Online survey excludes people without internet
Generalisability	Findings can be applied to the wider population	Case study of one school

What is the difference between primary and secondary data? (1.2.1)

Primary data is collected by the researcher for the study (questionnaires, interviews, observation). It fits the research aims but costs time and money. Secondary data already exists (statistics, documents, media). It is cheap and may cover large populations or the past, but was produced for other purposes. Quantitative data is numerical and easy to compare; qualitative data is descriptive and rich in meaning but harder to analyse.

How useful is secondary evidence? (1.2.2)

• Official statistics — government data on population, crime, employment, education. Strengths: large scale, regular, free. Limitations: definitions may change; some events go unrecorded.
• Historical and personal documents — diaries, letters, autobiographies, archives. Strengths: insight into the past and personal meaning. Limitations: authenticity, representativeness.
• Digital sources — websites, social media, online forums. Strengths: huge, current, often unprompted. Limitations: hard to verify; online users are not typical of all people; consent issues.
• Media content — news reports, films, adverts. Strengths: shows how issues are represented. Limitations: reflects the producers’ agenda.

How do you read tables, charts and graphs? (1.2.3)

In Question 1(a), identify the exact figure or trend asked for, quote it with units, and then explain one problem with the evidence — for example a small sample, an old date, an unclear definition or missing groups.

What are the stages in research design? (1.3.1)

1. Selection of topic — influenced by interest, funding, theory.
2. Aims — what the research wants to find out.
3. Hypothesis — a testable prediction (mainly positivist).
4. Target population — the group the research is about.
5. Methods — chosen to fit aims and approach.
6. Operationalisation — turning concepts into measurable indicators (for example measuring “social class” by occupation).
7. Pilot study — a small trial to test questions and procedures.

How do sociologists choose a sample? (1.3.2)

A sampling frame is the list of the target population (school register, electoral roll).

Technique	How it works	Strength	Limitation
Random	Everyone has an equal chance	Avoids researcher bias	May not include small groups
Systematic	Every nth name on the list	Simple	Hidden patterns in the list
Stratified	Divide by key characteristics, then sample in proportion	Representative	Needs detailed sampling frame
Snowball	Participants recruit others	Reaches hidden groups	Unrepresentative
Quota	Interviewer fills set numbers of each type	Quick	Interviewer chooses who, so bias

Which primary methods can be used? (1.3.3 and 1.3.4)

• Surveys and questionnaires — reach many people; types of question: open, closed, multiple choice, scaled (for example “strongly agree” to “strongly disagree”).
• Interviews — structured (fixed questions), semi-structured, unstructured (conversational), group. Sudhir Venkatesh’s Gang Leader for a Day (2008) shows the depth unstructured conversation and observation can bring.
• Observations — participant or non-participant, overt or covert.

What issues affect research? (1.3.5 and 1.3.6)

Theoretical and practical: researcher perspective (positivist or interpretivist), access to the sample, response rate, funding and cost, time.

Ethical: informed consent, privacy and confidentiality, deception, prevention of harm, legality. Covert observation raises deception and consent issues; researching young people needs parental consent.

Frequently asked questions

How should I plan a research answer for Question 1(e)? The syllabus says to explain the primary methods, sampling and secondary evidence you would use and give reasons; you are not expected to evaluate your chosen methods.

Is positivism better than interpretivism? Neither is better in general; each suits different research aims. Many studies combine them through triangulation.

What is the most common mistake on sampling? Confusing the sampling frame (the list) with the sampling technique (the way people are picked from it).

Sources

• Cambridge International, Cambridge IGCSE Sociology 0495 syllabus for 2025, 2026 and 2027, topic 1 Research methods and section 4 Details of the assessment (Paper 1 Question 1).
• Studies are named with years in the text.

Related pages: positivism and interpretivism revision notes | positivism and interpretivism practice questions | research methods practice questions | Paper 1 revision notes