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Sampling
Is a process of selecting units, like people, organizations, or objects, from a population of interest in order to study and fairly generalize the results back to the population where the sample was taken.
Sampling technique
Is a procedure used to determine the individuals or members of a sample. It may be done using probability or non-probability techniques.
Probability sampling/random sampling
The probability of a unit from the population being selected into the sample is known.
Simple random sampling
The basic method of selecting survey units. Each unit in the population is selected with equal probability and all possible samples are equally likely to be chosen (ideal for small number of population)
Systematic random sampling
A random starting point in the population is selected and then every kth element encountered there after becomes an item.
Stratified random sampling
Divides the population into homogenous classes or groups (strata). Characteristics such as age, gender, or socio-economic status take a random sample from each strata.
Cluster sampling
Population is divided into groups. Elements within a cluster must be heterogenous. Each cluster has the same characteristics as the parent population.
Non-probability sampling
The probability of a unit from the population being selected into the sample is unknown.
Haphazard/convenience sampling
Method of collecting samples that are conveniently located around a location or internet service. Most useful for pilot testing.
Judgment/purposive sampling
Also known as subjective sampling, is a form of non-probability sampling in which researchers rely on their own judgment when choosing members of the population to participate in their study.
Quota sampling
Selection is done according to predetermined quotas. Each person gathering observations is given a specified number of elements to sample.
Snowball sampling
Method purely based on referrals and that is how a researcher is able to generate a sample. Is also called the chain-referral sampling method.