Sampling methods

Question 1

Cluster sampling

Answer 1

the population is divided into subgroups which are each reasonably representative of the entire population
then taking a sample from just a few of these subgroups.

Question 2

Opportunity sampling

Answer 2

individuals are chosen to be part of a sample as opportunity arises. Interviewing passers by on the street is one example

Question 3

Stratified sampling

Answer 3

If the parent population can be divided into subgroups, or strata, such as by age or gender
ensures that all strata are sampled
can weight each strata based on the promotion they make up of the whole population
sampling usually random

Question 4

Quota sampling

Answer 4

Population divided into sub groups
numbers to be sampled of each group are established
sampling usually not random

Question 5

Systematic sampling

Answer 5

sampling frame
choose random starting position between 1- N+1
Individuals elected to be part of the sample in regular intervals P/2
cycle through list until N selected