Sampling Flashcards
what is a population?
the whole set of items that are of interest
what is raw data?
the information obtained from a population
what is a census?
data collected from the entire population
what is a sample?
some subset of the population intended to represent it
what is a sampling unit?
each individual thing in the population that can be sampled
what is a sampling frame?
when sampling units are individually named/numbered to form a list
what are the advantages of a census?
it should give completely accurate results
what are the advantages of sampling
- cheaper
- quicker
- there is less data to process
what are the disadvantages of a census?
- it can’t be used when testing involves destruction
- time consuming
- expensive
- there is a large amount of data to process
what are the disadvantages of sampling?
- may not be as accurate
- the sample may not be large enough to represent small subgroups
what are the types of random sampling?
- simple random sampling
- systematic sampling
- stratified sampling
how do you conduct simple random sampling?
- a sampling frame must be created using numbers or names
- then a random number generator or lottery sampling should be used to select the things that will be included in the sample
how do you conduct systematic sampling?
- sampling frame must be created
- then the required elements from the sampling frame are chosen at regular intervals until sample is created
how do you determine which item to begin with in systematic sampling?
use simple random sampling/ random generator
how do you determine the interval for systematic sampling?
divide the population size by the sample size
how do you conduct stratified sampling?
- strata are created using the population
- simple random sampling is used within each stratum to determine which items of each stratum will be used
how do you determine how many items from each stratum is included?
- divide the number of items in the stratum by the number of items in the entire population
- then multiply that by the total sample size
when is stratified sampling used?
when the sample required is large and the population naturally divides into groups
what are the advantages of simple random sampling?
- free from bias
- simple
- cheap
- each item has an equal chance of being selected
what are the advantages of systematic sampling?
- simple
- quick
- suitable for large samples or populations
what are the advantages of stratified sampling?
- reflects population structure
- guarantees proportional representation of groups within the population
what is a stratum?
a group within the population
what are the disadvantages of simple random sampling?
- not suitable for large populations
- sampling frame is needed
what are the disadvantages of systematic sampling?
- sampling frame is needed
- can introduce bias if the sampling frame isn’t random
what are the disadvantages of stratified sampling?
- the population must be clearly classified into groups
- sampling frame is needed within stratums
how do you conduct quota sampling?
- divide population into strata based on their characteristics of interest
- determine the amount of people from each strata that will be included in the sample
how do you determine the amount of items that will be sampled in quota sampling?
people within each group are actively chosen by an interviewer until the quota is filled
how do you conduct opportunity sampling?
A sample is taken from people who are available at the time of the study, who meet the criteria
what are the advantages of quota sampling?
- it allows small samples to represent the population
- no sampling frame is needed
- quick
- cheap
- simple
- it allows easy comparisons between different groups in a population
what are the advantages of opportunity sampling?
- simple
- cheap
what are the disadvantages of quota sampling?
- can introduce bias
- population must be divided into groups which can often be inaccurate
- as the population size increases the cost and time also increases
- non-responses are not recorded
what are the disadvantages of opportunity sampling?
- unlikely to provide a representative sample
- dependent on the individual researcher