sampling techniques Flashcards
types of probability sampling
simple random sampling, systematic random sampling, stratified random sampling, cluster (area) random sampling, multi-stage sampling
is a sampling technique in which every element of the population has the same chance being selected for inclusion in the sample
simple random sampling
it is measured using slovin’s formula
simple random sampling
a list of elements of the population is used as sampling frame and the elements to be included in the desired sample are selected by skipping through the list at regular intervals
systematic random sampling
is a sample technique in which the population is first divided into a strata and then samples are randomly selected separately from each stratum
stratified random sampling
the entire population is broken into small groups, or clusters, and then, some of the clusters are randomly selected
cluster random sampling
non-probability sampling
purposive sampling, quota sampling, convenience sampling, snowball sampling
refers to a group of non-probability sampling techniques in which units are selected because they have characteristics that you need in your sample. in other words, units are selected on purpose
purposive sampling
relies on the non-random selection of a predetermined number or proportion of units. this is called a quota
quota sampling
predetermined number or proportion of units
quota
where units are selected for inclusion in the sample because they are the easiest for the researcher to access
convenience sampling
where new units are recruited by other units to form part of the sample. can be a useful way to conduct research about people with specific traits who might otherwise be difficult to identify (e.g. people with a rare disease)
snowball sampling
