Topic 2C: Data and Presenting Information: Non-Random Sampling

Question 1

What are the two methods of non-random sampling?

Answer 1

Quota sampling
Cluster sampling

Question 2

What is quota sampling?

Answer 2

This is a type of sampling in which randomness is forfeited in the interests of cheapness and administrative simplicity. Investigators are told to interview all he people they meet up to a certain quota

Question 3

What are advantages of quota sampling?

Answer 3

• Cheap and easy
• Large samples can be studied
• No sampling frame needed
• May be the only approach to use
• Yields sufficiently accurate information for market research

Question 4

What are the disadvantages of quota sampling?

Answer 4

• Bias may exist (as first come first served basis would only attract the keenest members of the population
• Not ultimately satisfactory
• Cannot estimate sampling error

Question 5

What is cluster sampling?

Answer 5

A non-random sampling method that involves electing one definable sub-section of the population as the sample, with the subsection taken to be a representation of the population in question

Question 6

What are the advantages of cluster sampling?

Answer 6

No sampling frame is needed
good alternative to multistage sampling
Quick and cheap to render as only ned to go to certain locations

Question 7

What are the disadvantages of cluster sampling?

Answer 7

Potential for considerable bias