sampling

Question 1

4 types of sampling

Answer 1

• random
• opportunity
• systematic
• stratified

Question 2

target population

Answer 2

group of people being studied
Sample is chosen from the target population and should represent target population
Sampling methods aim to avoid bias

Question 3

random sampling - define & evaluate

Answer 3

each person has an equal chance of being selected, all people in the target population put in a hat or random name generator

Evaluation - no bias as everyone has equal chance, takes time as need all members of the target population, sample may still not represent target pop

Question 4

opportunity sampling - define & evaluate

Answer 4

taking the people who happen to be there

Evaluation – quick and cheap, yet only represents the population from which it was drawn

Question 5

systematic sampling - define & evaluate

Answer 5

selecting every nth person from a list of the target population

Evaluation – avoids researcher bias, may end up with an unrepresentative sample

Question 6

stratified sampling - design & evaluate

Answer 6

selecting p’s in the proportion to frequency in the target population

Evaluation – most representative, very time-consuming to sort sub-groups