Sampling

Question 1

Cluster sampling

Answer 1

-dividing the population into clusters, typically on the basis of geography and taking a sample of clusters

Question 2

Convenience sampling

Answer 2

• selecting on the basis of convenience

- not using a sampling frame but including whoever is easily accessible

Question 3

Quota sampling

Answer 3

-selecting fixed numbers of units in each of a number of categories

Question 4

Snowball sampling

Answer 4

-asking individuals studied to provide references to others; may be useful in identifying sexually transmitted disease samples, IV drug users samples etc

Question 5

Random sampling

Answer 5

-every individual in population has an equal chance of being chosen

Question 6

Stratified sampling

Answer 6

-dividing the population into groups on the basis of some suspected confounding characteristic and then sampling each group to ensure fair distribution of these variables

Question 7

Systematic sampling

Answer 7

-choosing every nth item from a list, beginning at a random point