Sampling Flashcards
Simple random sampling
- use sampling frame
- each items is assigned a number
- use random number generator
“Lottery sampling”
Systematic sampling
Strata at random item in the sampling frame
Pick every kth person ( decided by the number of results wanted)
Stratified sampling
Population dived into groups strata and a simple random sample carried out in each group
Quota sampling
Population divided into groups according to characteristics.
A quota of items/ people in each group is set to try and reflect the group’s proportion in the whole population.
Interviewer selects the actual sampling units
Opportunity sampling
Sample taken from people who are available at the time of study, who meet criteria
Advantages and disadvantages of simple random sampling
A: Bias free Easy and cheap Known chance of being selected D: Not suitable when population size is large Sampling frame needed Bias can be introduced if sampling frame is not random
Advantages and disadvantages of systematic sampling
A: Simple and easy to use Suitable for large populations D: Sampling frame needed Can introduce bias is sampling frame is not random
Advantages and disadvantages of stratified sampling
A:
-reflects population structure
-guarantees proportional representation of group within population
D:
-population used clearly classified into distinct strata
-selection within each strata suffers from the same disadvantages as simple random sampling
Advantages and disadvantages of quota sampling
A:
Allows small sample to still be representative of population
-no sampling frame
- easy and kinda cheap
-allows for easy comparison between groups
D:
-Non random sampling can introduce bias
-population must be divided which is costly and could be inaccurate
- more people = more money and time
Advantages and disadvantages of opportunity sampling
A: -Easy to carry out -Inexpensive D: Unlikely to provide A representative sample Highly dependant on an individual researcher