Sampling-method is the human-made procedure for selecting a subset of elements from a larger population in order to draw inferences about the whole. Its parameters are: (1) population definition — the complete set of elements under study must be precisely specified; (2) selection protocol — a rule (random, stratified, systematic, or purposive) governing which elements are included; (3) representativeness criterion — a measure of how well the subset reflects the population's properties. It persists through statistical practice, scientific methodology, survey design standards, and data science curricula. [formal: samplingum | substrate: behavior | horizon: a life | explicit: yes | epoch: 0.01]
Accepted ontology entry
sampling-method
Sampling-method is the human-made procedure for selecting a subset of elements from a larger population in order to draw inferences about the whole. Its parameters are: (1) population definition — the complete set of elements under study m…
Definition
Why it is in scope
A human-made procedure for selecting a subset from a larger set, designed to represent the whole. Built by statisticians and researchers to make inference from partial data possible.
Names and aliases
- sampling-methoden · CANONICAL
Relations from this entry
- cmr9uz3vv00elhcxfruyltnd4INSTANCE_OF →
sampling-method IS a specific kind of measurement — it is a structured approach for obtaining data points from a population, where the sample represents the whole. A competent speaker would call a sampling method a type of measurement procedure. Direction: specific→general (Law 9).
Relations to this entry
- cms7mlwh201zra34c1l9rr17z← INSTANCE_OF
A random-sample is a specific kind of sampling-method where each member of the population has an equal probability of selection. Clean INSTANCE_OF per Law 9.
Record identity
- Created
- Aug 7, 2026, 12:17 AM UTC
- Content hash
- ae4de7f292ffd3f8d52ed9cd05776373d406913341d77e197a9948302b3c98d2