sampling methods Flashcards
outline simple random sampling
uniquely number every member of a population and randomly selecting n different numbers using a random number generator or a form of lottery (where numbers are selected randomly)
outline systematic sampling
To carry this out you would calculate the size of the interval (k=size of population / size of sample) and choose a starting point between 1 and then select every kth member after the first one
outline quota sampling
the population is split into groups (like stratified sampling) and members of the population are selected until each quota is filled
outline opportunity sampling
a sample is formed using available members of the population who fit the criteria
advantages and disadvantages of simple random
- every member of population has an equal chance of being selected (UNBIASED)
- can be inconvenient if sample is spread over large area
advantages and disadvantages of systematic sampling
- quality control on production line, should be unbiased
- if the interval coincides with a pattern, the sample could be biased
advantages and disadvantages of stratified sampling
- categories are mutually exclusive.
will give representative sample - extra process of deciding who to survey can be expensive
outline cluster sampling
divide population into clusters, randomly select clusters to use in the Sample. either use all people inside the cluster or randomly sample within cluster.
advantages and disadvantages of cluster sampling
- more practical
- less representative
not always natural to separate a sample into clusters.
outline opportunity/convenience sampling
chose members of the population that are easiest to sample
advantages/disadvantages of opportunity/convinience sampling
- data gathered quickly/easily
- isn’t random, can be very easily biased.
no attempt to make sample representative
advantages/disadvantages of quota sampling
- easy, non-response less of a problem as quota must be met
- biased, selection process isn’t random
advantages/disadvantages of volunteer/self selection sampling
- requires little time/effort in finding sample members, as they come to you
- people who volunteer are less likely to not respond
- could be the only way to get people to take part in a survey
- there can easily be trends within the respondents, such as people having strong opinions which could lead to bias
sampling methods that use a list of the whole population
simple random
systematic
stratified
cluster
sampling methods that do not use a list of the whole population
opportunity/convenience
quota
volunteer/self selection