The Sampling Process

Question 1

Random sampling techniques:

SYSTEMATIC RANDOM SAMPLING

Answer 1

You randomly choose a number and pick the nth number.

The larger the sample the more it’s likely to be representative and less likely to be biased.

Question 2

Random sampling techniques:

STRATIFIED RANDOM SAMPLING

Answer 2

Divides the population into a number of different sampling frames and uses a systematic random sample to select a group.

Question 3

What is the research/target population?

Answer 3

All the people who could be included in the research.

Question 4

What is the research population?

Answer 4

The group the sociologists have decided to study and the research is based on a precise definition of this group.

Question 5

Non-random sampling techniques:

QUOTA SAMPLING

Answer 5

The researcher decides how many in each category the person should be included.

The researcher looks for a number of people until the quota is filled.

Lacks randomness and can be a bias collection made by the researcher.

Question 6

Non-random sampling techniques:

PURPOSIVE SAMPLING

Answer 6

The researcher chooses individuals that fit the nature of the research.

Question 7

Non-random sampling techniques:

OPPORTUNITY SAMPLING

Answer 7

Making the most of the situations/opportunities which the research population is likely to be found.

Question 8

Non-random sampling techniques:

SNOWBALL SAMPLING

Answer 8

Interviewing an individual and being referred to by others willing to be interviewed.

Question 9

Non-random sampling techniques:

VOLUNTEER SAMPLING

Answer 9

Sociologists advertise the research in magazines allowing participants to volunteer.

Fails to produce a representative sample.