Sampling Methods Flashcards
1
Q
Stratified Sampling
A
- random sampling from particular subgroups
- good: ensures all groups are represented
- bad: more complex,strata must be carefully defined
2
Q
Cluster Sampling
A
- people are grouped into clusters eg a street NOT based on characteristics, are then you randomly pick one cluster to research
- good: don’t need population data list, doesn’t isolate individuals
- bad: not always representative/equivalent
3
Q
Purposive Sampling
A
- hand picked based on characteristics
- good: ensures balanced
- bad: potential subjectivity of researcher can influence people chosen
4
Q
Quota Sampling
A
- individuals selected to fill quota of characteristics or demographics
- good: ensures selection of adequate numbers and characteristics
- bad: can’t prove that its representative
5
Q
Snowball Sampling
A
- people with desired characteristics give names of other relevant people
- good: for marginalized groups where population data doesn’t exist e.g criminals
- bad: could be completely unrepresentative
6
Q
Volunteer/accidental/convenience
A
- just who volunteers, or who doesn’t drop out, or who happen to be available
- good: inexpensive way of sufficient numbers
- bad: could be completely unrepresentative
7
Q
Simple Random
A
- random sample from whole population
- good: highly representative
- bad: needs list of whole population, can be uneconomical, may isolate individuals, sample could change
