Sampling

Question 1

Why do we need sampling?

Answer 1

• population is too large to recruit
• population is too dispersed or difficult to contact
• to get results quickly

Question 2

Probability Sampling

Answer 2

• Involves random sampling

Question 3

Non-Probability Sampling

Answer 3

• Does not have random selection

Question 4

Main types of Non- Probability Sampling

Answer 4

1) Quota sampling
2) Reliance on available subjects
3) Purposive / judgemental sampling
4) Snowball sampling

Question 5

Probability Sampling Rules

Answer 5

• the larger the population, the more confidence we have in the samples representativeness
• representative sampling and random sampling are two techniques used to help ensure data is free of bias

Question 6

Main types of Probability Sampling

Answer 6

1) Simple Random Sampling
2) Systematic Random Sampling
3) Stratified Sampling
4) Cluster Sampling