MENTAL MODEL · M11528

Systematic Sampling

SystemsHigh supportSystems Theory

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Version 1.0.0 · Updated 2026-07-30

CORE DEFINITION

Interval: select one sample every k units. Starting point: randomly choose the position of the first sample. Scaffold role: regular sampling. It is easier to implement than simple random sampling and can uniformly cover the population, but attention must be paid to whether the population has periodic patterns.

SCAFFOLDING EFFECT

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Regular sampling. It is easier to implement than simple random sampling and can uniformly cover the population, but attention must be paid to whether the population has periodic patterns.

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Sample the population at a fixed interval k, randomly select a starting point, and then include every k-th unit. When the population has no periodic structure, its uniform coverage is close to stratified sampling, and its efficiency is higher than simple random sampling. If the population has a periodicity that coincides with the interval, severe systematic bias will occur.

MINIMUM ACTION

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Practice this model in one real situation:

Calculate the interval k = population size / sample size
randomly determine the starting point r (1 ≤ r ≤ k)
sequentially draw r, r+k, r+2k, ...
check whether the population has periodicity
if necessary, switch to other sampling methods.

Check to track your progress (stored locally)

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Source support: Explicit

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en.wikipedia.orghttps://en.wikipedia.org/wiki/Systematic_samplingZH · Explicit
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