sampling

Question 1

population

Answer 1

a group of people who are the foucus of the researchers interest from which a smaller sample is drawn

Question 2

sample

Answer 2

a group of people who take part in a research investigation. the sample is drawn for a target population

Question 3

bias

Answer 3

when certain groups are over-under represented within the sample selected

Question 4

generalisation

Answer 4

the extent to which findings and conclusions from research can be applied to the population

Question 5

random sampling

Answer 5

all members of the target population have an equal chance of being selected
- lottery method

Question 6

systematic sampling

Answer 6

when every nth member is selected

Question 7

stratified sampling

Answer 7

the sample reflects the proportions of people in certain subgroups (strata) within the target population or wider population

Question 8

opportunity sampling

Answer 8

select people who are available

Question 9

volunteer sampling

Answer 9

participants self select to be apart of the sample

Question 10

random sampling AO3

Answer 10

• potentially unbiased, CV and EV should be equally divided between different groups (high internal validity)
• difficult and time consuming

Question 11

systematic sampling AO3

Answer 11

• method is objective (no say from the researcher)
• time consuming - participants may say no

Question 12

stratified sampling AO3

Answer 12

• representative sample (accurately reflects the composition of the population)
• generalisable
• no complete representation ( strata cannot reflect all ways that people are different)

Question 13

volunteer sampling AO3

Answer 13

• easy, less time consuming
• volunteer bias - may attract a certain profile ( people who take interest in the topic of research)

Question 13

opportunity sampling AO3

Answer 13

• convenient (low cost, quick and easy)
• suffers from bias ( unrepresentative of target population, researcher bias)