Sampling Flashcards
What does it mean to be a volunteer?
You willingly sign up for the thing you are interested in
Name the 5 types of sampling methods.
Random
Systematic
Stratified
Opportunity
Volunteer
Explain Random sampling.
Randomly assign participants role or number by using a random number generator to choose etc.
Explain Systematic sampling.
Every nth member of a target population is selected from the sample frame you have.
Explain Stratified sampling.
You split group (population) into sub groups then randomly take people from each group as a representative.
Explain Opportunity sampling.
Selecting anyone who happens to in the area and are willing to take part
Explain Volunteer sampling.
An advert may be placed and people self-select themselves to take part.
Give a pro and a con for Random sampling.
Pro: potentially unbiased
Con: may still be unrepresentative - even though your trying to avoid bias, you may still get it
Give a pro and a con for Systematic sampling.
Pro: Avoids bias as researcher has no control over who will be elected.
Con: Time consuming - Selected participants may refuse to rake part therefore you would need to look for more participants.
Give a pro and a con for Stratified sampling.
Pro: You can generalise - designed to accurately reflect the composition population
Con: Reduces reliability - Cannot reflect all the ways people are different
Give a pro and a con for Opportunity sampling.
Pro: less costly in terms of time and money
Con: Samples are unrepresentative - they are drawn from a specific area
Give a pro and a con for volunteer sampling.
Pro: Sample is easy and less costly in terms of time and money
Con: volunteer bias - people may volunteer themselves as they may have confident knowledge in the certain area researcher is looking into - do this to ‘please’ the researcher
