Random Sampling

Refers to the collection of elements possessing common characteristics, interpreted as N, each and every unit of the group, measured using parameter.

Population

Refers to the subgroup of the members of the population chosen for a certain participation, interpreted as n, only a handful of units from the population, measured using statistic.

Sample

A numerical measure that describes the sample of a population.

Statistic

A numerical measure that describes the entire population.

Parameter

Type of sampling that selects a sample from a population when the selection is based on the randomization principle.

Probability Sampling

Takes a small, random portion of the entire population to represent the entire data set, wherein every member has an equal chance of being chosen.

Simple Random Sampling

Sampling method that selects every nth element of the population.

Systematic Sampling

Method of sampling that divides a population into smaller subgroups formed based on the shared characteristics and attributes of its members.

Stratified Sampling

Method of sampling that divides a population into clusters before randomly selecting one of these clusters as the sample.

Cluster Sampling

Type of sampling technique that has no recognized probability that one member will be included in the sample. Biased sampling.

Nonprobability Sampling

Done out of ease of implementation on the part of the researcher. Samples taken are readily available to participate.

Convenience Sampling

Samples are taken based on the judgement of the researcher who will determine which members are best fitted to answer the research questions.

Purposive Sampling

Sampling technique involving choosing a possible respondent before asking said respondents to refer other possible respondents.

Snowball Sampling

Sampling consisting of variables sharing specific traits and qualities (predefined control categories such as age, gender, religion, etc.). The population is divided according to the specific traits and qualities before selecting individuals via purposive sampling.

Quota Sampling