Sampling

Question 1

Simple random sampling

Answer 1

Assign each a number and let it generate numbers. Works well but complicated and time consuming

Question 2

Probability sampling

Answer 2

Unbiased, random sampling. All members have an equal chance (good external validity)

Question 3

Non probability sampling

Answer 3

Bias samples, other category: convenience, quota, snowball and purposive

Question 4

Cluster sampling

Answer 4

Already divided into groups, clusters of participants randomly selected.

Question 5

Multistage sampling

Answer 5

Randomly select samples of members within selected clusters

Question 6

Stratified random sampling

Answer 6

Particular category, randomly select within each. Corresponding with the known percentage.

Question 7

Oversampling

Answer 7

Over representing a group in the sample because it might result in too little people in the group.

Question 8

Systematic sampling

Answer 8

Using a random number like every fifth person.

Question 9

Convenience sampling

Answer 9

Using easy access.

Question 10

Purposive sampling

Answer 10

Taking one group like only smokers

Question 11

Snowball sampling

Answer 11

Participants recommend

Question 12

Quota sampling

Answer 12

setting a quota like 45 women 34 men.