RESEARCH METHODS- SAMPLING Flashcards

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1
Q

What is a population in sociological research?

A

A population refers to all the members of the group the researcher is interested in studying.

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2
Q

What is a sample in sociological research?

A

A sample is a small sub-group chosen from the population to take part in the study.

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3
Q

Why do researchers select a sample?

A

To ensure those participating in the study are representative or typical of the whole population, allowing for generalisations to be made.

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4
Q

What is a sampling frame?

A

A sampling frame is a list of the population the researcher is interested in studying, from which the sample is chosen.

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5
Q

What are sampling methods?

A

Sampling methods are techniques used to select a sample from the sampling frame.

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6
Q

What is a response rate?

A

The response rate is the number of people from the sample who agree to participate in the research.

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7
Q

What is random sampling?

A

Random sampling involves selecting the sample purely by chance, such as drawing names from a hat, where everyone has an equal chance of being selected.

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8
Q

What is systematic sampling?

A

Systematic sampling involves selecting every nth person from the sampling frame, e.g., every 10th person.

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9
Q

What is snowball sampling?

A

Snowball sampling is when the researcher contacts one participant, who then refers other potential participants. It is often used for hard-to-reach groups, like criminals or drug users.

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10
Q

What is opportunity sampling?

A

Opportunity sampling, also known as convenience sampling, involves selecting participants who are easy to access, such as passers-by in the street.

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11
Q

Why might sociologists use unrepresentative samples?

A

Practical reasons include:

Lack of knowledge about the social characteristics of the population (e.g., age, ethnicity).

Inability to create or access a sampling frame, such as for criminals who aren’t known to the police.

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12
Q

Why do interpretivists prefer unrepresentative samples?

A

Interpretivists focus on gaining verstehen (understanding) rather than making generalisations, so representativeness is less important to them.

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13
Q

What is stratified random sampling?

A

Stratified random sampling involves dividing the population into categories (e.g., by gender or ethnicity) and selecting a proportional number from each group.

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14
Q

What is quota sampling?

A

Quota sampling requires researchers to collect data from a set number of participants in each category, e.g., 20 under-18 girls for a teenage magazine study.

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15
Q

What is cluster sampling?

A

Cluster sampling involves dividing the population into smaller clusters, such as local boroughs, and then selecting a sample to represent the entire population.

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16
Q

What is volunteer sampling?

A

Volunteer sampling gathers participants who respond to an advertisement, such as people with specific experiences like adultery.

17
Q

Give an example of random sampling.

A

A researcher selects names at random from a box.

18
Q

Provide an example of systematic sampling.

A

A researcher selects every 10th person from a list of 1 million.

19
Q

What is an example of stratified random sampling?

A

A researcher picks every 10th person from a list of women and does the same for a separate list of men.

20
Q

What is an example of quota sampling?

A

A market researcher collects responses from 20 under-18 girls for a teenage magazine study.

21
Q

Can you give an example of snowball sampling?

A

A researcher studying drug abuse interviews one heroin addict who then introduces other heroin users.

22
Q

Provide an example of volunteer sampling.

A

A researcher collects data from individuals who respond to a newspaper ad about experiences with adultery.

23
Q

What is an example of cluster sampling?

A

A researcher divides the country into electoral constituencies, further breaks it down into boroughs, and selects a sample to study voting behaviour.