2 Reasons Why Something Is Not A Good Sample

Question 1

2 reasons why something is not a good sample?

Answer 1

• Sample size is too small
• Sample not taken in proportion to group size
• Sample not stratified

Question 2

Better sampling methods to use instead?

Answer 2

• Use a stratified sample
• Use of a larger sample e.g(50)
• Use given sample size e.g (at leat 20)
• Use a cluster sample
• Use a quota sample

Question 3

Describe how you might find relevant primary data and advantages/ disadvantage?

Answer 3

• Primary data are afresh and collected for the first time
• Example would be creating your own questionnaire
• Useful for current and future studies
• Advantages( greater control and targeted issues are addressed)
• Disadvantage( time consuming and high cost of resources)

Question 4

Describe how you might find relevant secondary data and advantages/ disadvantage?

Answer 4

• Secondary data are data gathered and recorded by someone else
• Example would be date from a book
• Advantage( low cost to acquire and easy to access)
• Disadvantage( quality of research and not specific to researchers needs)

Question 5

Describe how cluster sampling could be used? Advantage and Disadvantage

Answer 5

• cluster sampling is when the researcher divides the population into separate groups, then a simple random sample of cluster is selected from the population
• Example would be ( family or class room/ city)
• Advantages( less expensive and more quick)
• Disadvantage( unreliable since results can differ(

Question 6

Describe how Quota sampling could be used? Advantage and Disadvantage

Answer 6

• Quota sampling is a non probability sampling, wherein the assembled sample has the same proportion of individuals as the entire population
• Example would be( men/ women)
• Advantages( extremely cheap and easy to carry out)
• Disadvantages( the selection of people to fill the quota may introduce bias)