Component 2: sampling techniques (random, systematic, stratified, quota, snowball and opportunity), the research design process (aims, hypotheses, operationalisation, pilot studies), and research ethics (informed consent, confidentiality, harm and the BSA guidelines).

What this dot point is asking

This statement is the design and ethics core of Component 2: the sampling techniques sociologists use, the stages of designing research (aims, hypotheses, operationalisation, pilot studies), and the ethical principles all research must follow. It is the knowledge behind the paper's distinctive research-design question, where you must plan and justify a study, so mastering it pays off directly.

The answer

Sampling techniques

The main techniques fall into probability (random) and non-probability types:

• Random sampling: everyone has an equal chance of selection (names drawn at random). Simple, but may by chance miss key groups.
• Systematic sampling: take every nth person from the frame (every 10th name).
• Stratified random sampling: divide the population into strata (age, class, sex) and sample each in proportion, improving representativeness. The most rigorous for generalisation.
• Quota sampling: fill set numbers from each group (interview 50 men and 50 women), but the choice within each quota is not random.
• Snowball sampling: use existing contacts to find more participants, essential for hard-to-reach or hidden groups (criminals, drug users), but unrepresentative.
• Opportunity sampling: take whoever is available, quick but unrepresentative.

Positivists prioritise probability methods for representativeness; interpretivists, who care less about generalisation, often use snowball or opportunity sampling to access meanings.

The research design process

Designing a study moves through recognisable stages:

• Aim or hypothesis: positivists often start with a hypothesis (a testable statement); interpretivists with an open research question or aim.
• Operationalisation: turning an abstract concept (such as social class) into a measurable indicator (such as occupation), so it can be studied consistently.
• Choosing method and sample: selecting the method and sampling technique that fit the aim and the PET factors.
• Pilot study: a small-scale trial run to test the design, check questions are clear and iron out problems before the main study.

Research ethics

Ethics apply at every stage. The key principles, set out in guidelines such as those of the British Sociological Association (BSA), are:

• Informed consent: participants should agree, knowing what the research involves (hard to achieve in covert research).
• Confidentiality and anonymity: identities and data should be protected.
• Avoiding harm: participants (and the researcher) should not be put at physical or psychological risk.
• Special care is needed with vulnerable groups (children, the ill) and with covert research, which involves deception and the absence of consent.

Examples in context

A strong answer matches the sampling technique to the aim (representativeness for positivists, access for interpretivists), shows the design stages in order, and treats ethics as central, not an afterthought.

Try this

Q1. Explain the difference between stratified random sampling and snowball sampling. [6 marks]

• What the marker wants. A clear distinction (AO1): stratified random sampling divides the population into proportional groups for representativeness (favoured by positivists), snowball sampling uses contacts to reach hidden or hard-to-find groups (favoured by interpretivists, but unrepresentative), with an example of when each is used.

Q2. Analyse two ethical problems a sociologist might face when conducting covert participant observation. [12 marks]

• Cue. Two developed points: the lack of informed consent (participants do not know they are studied, so cannot agree) and deception (the researcher misleads the group), each explained and linked to the BSA guidelines and the difficulty of justifying covert research.