Sampling techniques

Question 1

opportunity sampling uses participants who are __________________

Answer 1

Available at the time

Question 2

In stratified sampling, the target population is split up into …. to understand the proportions

Answer 2

Stratas - e.g. male and female

Question 3

In which sampling technique do participants offer to be part of the research?

Answer 3

Volunteer

Question 4

Which of the sampling techniques is the fairest and why?

Answer 4

Random sampling - everyone in the population has an equal chance of being picked

Question 5

Define stratified sampling

Answer 5

When the population is split into specific groups/strata based and a representative proportion is selected from each strata

Question 6

Give one weakness of volunteer sampling

Answer 6

Example:
might have shared characteristics as only helpful people may volunteer meaning it can’t be generalised to non-helpful people

Question 7

which sampling technique might put all names into a hat and pick them out?

Answer 7

random

Question 8

which sampling technique has issues with shared characteristics?

Answer 8

Volunteer and opportunity

Question 9

Give one strength of stratified sampling

Answer 9

e.g. includes a representation of the population so more generalisable

Question 10

give one weakness of opportunity sampling

Answer 10

e.g. only represents people available at the time