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Systematic Sampling Method

Systematic Sampling Method

Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
Systematic sampling is one of the simplest methods...

Convenience Sampling Method

Convenience Sampling Method

Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population.
Convenience sampling is a non-random method of sample selection; this method selects individuals that are easily accessible and may result in biased data. For example, a marketing...

Stratified Sampling Method

Stratified Sampling Method

Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a stratified sample, divide the population into groups called strata and then take a...

Cluster Sampling Method

Cluster Sampling Method

Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
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Sampling Methods: Overview

Sampling Methods: Overview

A sample refers to a smaller subset representative of a larger population. In analytical chemistry, studying or analyzing an entire population is often impractical or impossible. Therefore, samples are used to draw inferences and generalize the whole population. The sampling method selects individuals or items from a population to create a sample. Standard sampling methods include random, judgemental, systematic, stratified, and cluster sampling.
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Sampling Plans

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Related Experiment Video

Updated: Jul 16, 2026

Sampling Soils in a Heterogeneous Research Plot

Sampling Soils in a Heterogeneous Research Plot

Published on: January 7, 2019

A venue-based method for sampling hard-to-reach populations.

F B Muhib¹, L S Lin, A Stueve

¹Fletcher School of Law and Diplomacy, Tufts University, Boston, Massachusetts, USA. Jana74@hotmail.com

Public Health Reports (Washington, D.C. : 1974)

|March 13, 2002

Summary

Time-space sampling (TSS) offers a reproducible method for creating scientifically sound samples of hidden populations. This venue-based approach improves data collection for hard-to-reach groups like young men who have sex with men.

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Area of Science:

Social Sciences
Public Health
Epidemiology

Background:

Sampling hard-to-reach populations presents significant methodological challenges.
Traditional methods often result in low response rates or introduce unknown biases.
There is a need for robust sampling techniques to ensure representativeness.

Purpose of the Study:

To introduce and evaluate a venue-based time-space sampling (TSS) method.
To address the difficulties in obtaining scientifically sound samples of hidden populations.
To demonstrate the applicability of TSS in public health research.

Main Methods:

Developed a venue-based time-space sampling (TSS) framework.
Identified population gathering times and venues to create sampling units (VDTs).
Randomly selected VDTs and systematically intercepted consenting individuals for data collection.

Main Results:

Successfully generated a systematic sample of young men who have sex with men for the CITY project.
Demonstrated that TSS allows for statistical inference to the population of venue visitors.
Provided a framework for theorizing potential biases and limitations in generalization.

Conclusions:

Venue-based time-space sampling (TSS) is a reproducible and adaptable method for sampling hidden populations.
TSS enhances the ability to construct samples with known properties for research.
The method has broad applicability across diverse populations and settings.