Sampling

sampling

the process of selecting a subset of indivisuals from a larger population so that these indivisuals represent the target population

target population

the population meeting the criteria for inclusion outlined by the researcher

accessible population

the portion of the target population that the researcher can realistically reach and include in the study

probability sampling

a random selection of participants so everyone has a fair chance of being chosen

non-probability sampling

a purposeful selection of participants that are easiest, most suitable, and accessible

simple random sampling

a type of probability samping where everyone in the population has an equal chance of being chosen

systematic random sampling

a type of probability random sampling where participants are picked at fixed intervals

stratified random sampling

a type of probability sampling where population is divided into 2 or more groups (stratas) with diff characteristics and simple random sampling is taken from each group

cluster random sampling

a type of probability sampling where population is divided into clusters and some of these clusters are randomly selected

convenience sampling

a type of non-probability sampling where sampling units are simply chosen because of convenience or availability

quota sampling

a type of non-probability sampling where samples are chose to fill up a set number of participants represnting a strata

snowball sampling

a type of non-probability sampling where participants asked to find referrals to other participants

theoretical sampling

a type of non-probability sampling where samples are selected after the analyzation and examination of themes to create theories

volunteer sampling

a type of non-probability sampling where volunteers offer or actively recruited