Does not rely on the use of randomization techniques to select members. It is one where not all elements in the population frame have an equal chance of being selected.
Convenience or Accidental sampling
Sampling strategy based on the convenience of the researcher
Members or units are selected based on availability
Purposive sampling
Members of a particular group are purposefully sought after
The researcher uses his good judgment in selecting the respondents who best meet the purpose of his study
Also known as judgemental sampling
Snowball sampling
Requires identification of a few persons who met the requisite characteristics important to the study
These persons act as informants to identify others who qualify for inclusion in the sample, who in turn lead to more persons who can be interviewed
The process continues until the desired number of respondents is reached
The term "snowball" stems from the analogy of a snowball which begins small but becomes bigger and bigger as it rolls down the hill
Quota sampling
You identify a set of important characteristics of a population and then select your desired samples in a non-random way
It is assumed that the samples will match the population with regard to the chosen set of characteristics