Cambridge A-Level Sociology: Research Methods, Design and Research Issues (9699)

Research methods are the tools sociologists use to collect evidence, and in Cambridge International AS & A Level Sociology (9699) they make up the second half of Paper 1. Sections 2.1 and 2.3 of the syllabus ask you to know the main types of data and methods, the stages of designing a study, and the issues (bias, validity, reliability, representativeness and ethics) used to judge the value of any piece of research. Question 2(b) on the paper asks you to evaluate a named research method, so the strengths and limitations below are core exam material.

Section 2.2 (positivism, interpretivism, mixed methods and whether sociology is a science) is treated in the Paper 1 overview guide; this guide concentrates on 2.1 and 2.3.

Syllabus coverage

Cambridge International AS & A Level Sociology 9699 (2024–2026), Paper 1, section 2 Methods of research:

• 2.1 Types of data, methods and research design — primary and secondary data; quantitative and qualitative data; strengths and limitations of official statistics, personal documents, digital content and media sources; quantitative methods (questionnaires, structured interviews, experiments, content analysis); qualitative methods (overt and covert participant and non-participant observation, unstructured, semi-structured and group interviews); stages of research design (research strategy, research questions and hypotheses, sampling frames, sampling techniques, pilot studies, operationalisation, conducting research and interpreting results).
• 2.3 Research issues — theoretical, practical and ethical considerations influencing the choice of topic, choice of method and conduct of research; how findings may be biased by the values and actions of the sociologist and by choices made in funding, designing and conducting research; validity, reliability, objectivity, representativeness and ethics as concepts for assessing research.

What is the difference between primary, secondary, quantitative and qualitative data?

	Quantitative (numbers)	Qualitative (words, images, meanings)
Primary (collected by the researcher)	Closed-question questionnaire, structured interview, experiment	Unstructured interview, participant observation
Secondary (already exists)	Official statistics, existing survey data	Diaries, letters, social media posts, news articles

Quantitative data suits measuring patterns and testing hypotheses; qualitative data suits understanding meanings. Many studies combine both.

How useful are secondary sources?

• Official statistics are cheap, large-scale and allow comparison over time, but they reflect the definitions and recording practices of the agencies that produce them. J. Maxwell Atkinson’s Discovering Suicide (1978) showed coroners deciding which deaths counted as suicide, so the statistics are partly a social construction.
• Personal documents (diaries, letters, autobiographies) give rich insight into meaning, but may be unrepresentative and written for an audience.
• Digital content (posts, blogs, forums, search data) is plentiful and often unprompted, but raises questions of authenticity, who is online, and whether public posts can ethically be used without consent.
• Media sources reveal how issues are framed but tell you about the media’s agenda as much as about the event; the Glasgow University Media Group’s Bad News (1976) used content analysis of television news to show this.

What are the strengths and limitations of quantitative methods?

Method	Strengths	Limitations
Questionnaire	Large samples, cheap, standardised so reliable, easy to compare	Low response rates; closed questions impose the researcher’s categories; respondents may lie
Structured interview	Higher response rate than postal questionnaires; interviewer can clarify	Interviewer effect; still limited depth; more costly
Experiment (laboratory or field)	Control of variables; can show cause and effect	Artificial; Hawthorne effect; ethical limits; Rosenthal and Jacobson’s field experiment Pygmalion in the Classroom (1968) is hard to replicate
Content analysis	Systematic, replicable study of media and documents	Coding categories reflect the researcher’s judgement; counts frequency not meaning

What are the strengths and limitations of qualitative methods?

• Overt participant observation — the group knows who you are, which is ethical, but they may change their behaviour. William Foote Whyte’s Street Corner Society (1943) relied on a key informant, “Doc”, to gain access.
• Covert participant observation — gives access to closed or deviant groups and natural behaviour, but involves deception and risk. Laud Humphreys’ Tearoom Trade (1970) is the classic ethical controversy.
• Non-participant observation — the researcher watches without joining in; less risk of “going native” but less insight into meaning.
• Unstructured interviews — high validity, rapport and depth; Ann Oakley (1981) argued that a non-hierarchical style produces more honest answers. Limitations: time, cost, small samples, difficulty comparing answers.
• Semi-structured interviews — a set of core questions plus follow-ups, combining comparability with flexibility.
• Group interviews — reveal how views are formed in interaction, but dominant voices and peer pressure can distort answers.

What are the stages of research design?

1. Research strategy — deciding the overall approach (survey, case study, ethnography).
2. Research questions and hypotheses — a hypothesis is a testable prediction, used mainly in positivist designs.
3. Operationalisation — turning a concept into something measurable (for example measuring “religiosity” by attendance, prayer frequency and belief).
4. Sampling frame — the list from which the sample is drawn (electoral register, school roll).
5. Sampling technique — random, systematic, stratified, quota, snowball or opportunity.
6. Pilot study — a small trial run to test questions, timing and access.
7. Conducting research — collecting the data, managing access and ethics.
8. Interpreting results — analysing, checking for bias and drawing conclusions.

In an exam, linking each stage to a concept from 2.3 (a pilot study improves validity; a stratified sample improves representativeness) is what lifts a description into analysis.

What influences a sociologist’s choice of topic and method?

Theoretical factors — positivists prefer reliable, quantitative methods; interpretivists prefer valid, qualitative ones. Practical factors — time, cost, access, the researcher’s skills and personal characteristics. Ethical factors — informed consent, confidentiality, avoiding harm, deception and the vulnerability of participants (children, prisoners). Choice of topic is also shaped by values, funding and what is fashionable or newsworthy.

How can research be biased?

The syllabus singles out bias from the sociologist’s values and actions and from funding, design and conduct:

• Howard Becker’s “Whose side are we on?” (1967) argued that research inevitably takes sides, so sociologists should be open about their sympathies.
• Funders such as governments, charities or corporations may shape which questions are asked and which results are published.
• Leading questions, poor sampling and the interviewer effect introduce bias in design and conduct.
• Interpretation itself can be selective, especially in qualitative work where the researcher chooses which quotations to report.

How do you assess the value of a research method?

Concept	Meaning	Higher in
Validity	Does the data give a true picture of what it claims to measure?	Unstructured interviews, participant observation
Reliability	Would the same method give the same results if repeated?	Questionnaires, structured interviews, official statistics
Objectivity	Freedom from the researcher’s own values	Standardised methods (though contested)
Representativeness	Is the sample typical of the wider population?	Large, randomly or stratified-sampled surveys
Ethics	Is the research morally acceptable?	Overt methods with informed consent

Frequently asked questions

How should I answer a 2(b) “evaluate” question on a method? Explain strengths and limitations using the 2.3 concepts by name, and apply each to the research context in the question, for example why covert observation of a youth gang raises both validity gains and safety risks.

Is covert observation ever acceptable? Many sociologists accept it where the group would never consent and the knowledge gained is important, but it breaks informed consent and must protect participants’ identities.

What is the difference between a sampling frame and a sample? The frame is the full list of the population; the sample is the part selected from it.

Do I need to know 2.2 for a methods question? Often yes: positivism and interpretivism explain why researchers prefer certain methods, so link back to them.

Sources

• Cambridge International, Cambridge International AS & A Level Sociology 9699 syllabus for 2024, 2025 and 2026, Paper 1 sections 2.1 and 2.3 and Details of the assessment (Paper 1 Question 2b).
• Studies are named with publication years in the text.

Related pages: socialisation, social control and identity guide | Paper 1 revision notes | Paper 1 practice questions