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what is probability sampling
every member of the population has a chance at being selected
what is stratified sampling
involves dividing the population into sub populations that may differ in important ways. allows the researcher to get more precise conclusions
what is systematic sampling
similar to random sampling. with every member of the population is listed with a number, but instead of randomly generating numbers, individuals are chosen at regular intervals e.g every 10 people
what is non-probability sampling
individuals are selected based on a non-random criteria and not every individual has a chance at being included
what is convenience sampling
simply includes the individuals who happen to be most accessible to the researcher
what is snowball sampling
people not on a list but recommended by sample participants it grows to other people. this is good for hidden populations
give an advantage and disadvantage of snow ball sampling
builds trust if a participant is referred by a friend
could be bias because a participant is likely to refer someone similar to them
give a strength and weakness of random sampling
everyone has a chance at being picked
reduced bias because they aren’t being picked based on something
more representative
time consuming
needs a full list of the population
not always practical
give a strength and weakness of stratified sampling
ensures key groups are represented
more representative
useful for comparisons
time consuming because of detailed population info
difficult to organise properly
give a strength and weakness of opportunity sampling
quick and easy to carry out
practical in school and classrooms
cheap
highly bias
not representative of the whole population
researcher chooses who takes part
give a strength and a weakness of voluntary sampling
ethical- choose to take part
give detailed answers because they chose
easy to organise
self selection bias
more likely strong opinions
not representative
give a strength and weakness of systematic sampling
simple and structured method
reduces some researcher bias
easier than random sampling.
can be bias if there is a pattern in the list
still not fully random
may over represent certain groups