Name and discuss the different probability sampling techniques?
Simple random samples require a procedure that generates numbers or identifies cases of the population for selection strictly on the basis of chance. Every element in the population has a known, equal, and independent chance of being selected.
In Systematic random samples the first element is randomly selected but after that the rest of the sample is selected systematically. The first one is randomly selected and then say every 10th or 15th is then selected. This allows for the elimination of deriving a new random number for every case being selected.
Multistage cluster sampleswork toward the sample through successive approximations. First a sample from a list of groups or clusters is taken and then the researcher draws a random sample of elements from within each selected cluster.
Weighted or stratified samples select elements based not on an equal chance of being selected but the elements would have a known but unequal chance of being selected.
Simple random samples require a procedure that generates numbers or identifies cases of the population for selection strictly on the basis of chance. Every element in the population has a known, equal, and independent chance of being selected.
In Systematic random samples the first element is randomly selected but after that the rest of the sample is selected systematically. The first one is randomly selected and then say every 10th or 15th is then selected. This allows for the elimination of deriving a new random number for every case being selected.
Multistage cluster sampleswork toward the sample through successive approximations. First a sample from a list of groups or clusters is taken and then the researcher draws a random sample of elements from within each selected cluster.
Weighted or stratified samples select elements based not on an equal chance of being selected but the elements would have a known but unequal chance of being selected.
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