Sampling

Population: All the observations of interest

Sample: A subset of population

Accidental sampling: A non probability sampling where the investigator selects the sample according to his convenience

Quota sampling: Participants with particular characteristics are selected until a specified number is reached

Random sampling: A procedure for selecting participants where each participant has an equal chance of being included in the sample

Sampling frame: A list of the members of population

Sampling methods: techniques by which samples are selected from the population

Snowball sampling: It is basically indirectly socio metric. It is defined as having all the  persons in a group or organization identifying their friends who in turn identify their friends and associates until the researcher observes that a constellation of friendship converges into some type of a definite social pattern

Stratified sampling: A probability sampling where the population is divided into different strata and participants are selected from each stratum

Systematic sampling: A probability sampling where every kth individual is included in  the sample.