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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.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...

Sampling Plans

Sampling Plans

Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...

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...

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...

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...

Random Sampling Method

Random 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. Among the various sampling methods used by...

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Related Experiment Video

Updated: Jul 14, 2026

Sampling Soils in a Heterogeneous Research Plot

Sampling Soils in a Heterogeneous Research Plot

Published on: January 7, 2019

Don't spin the pen: two alternative methods for second-stage sampling in urban cluster surveys.

Rebecca F Grais¹, Angela M C Rose, Jean-Paul Guthmann

¹Epicentre, 8, rue Saint Sabin, 75011 Paris, France. rebecca.grais@epicentre.msf.org

Emerging Themes in Epidemiology

|June 5, 2007

Summary

Selecting the first household in cluster surveys can be improved. New methods using sampling grids or GPS points are faster and easier than the traditional pen-spinning technique, especially in urban areas.

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Area of Science:

Public Health
Epidemiology
Survey Methodology

Background:

Traditional two-stage cluster sampling methods for selecting the first household can be time-consuming and introduce bias.
The 'spinning the pen' method favors central households and is complex for field teams.

Purpose of the Study:

To compare the traditional 'spinning the pen' method with two alternative first household selection techniques in urban cluster surveys.
To identify faster, easier, and potentially less biased methods for initiating household surveys.

Main Methods:

Comparison of three first household selection methods: traditional 'spinning the pen', superimposed sampling grid, and random Global Positioning System (GPS) point selection.
Field testing conducted during a meningitis vaccination coverage survey in Maradi, Niger.

Main Results:

The sampling grid method was the fastest and easiest, though it requires a map.
Random GPS point selection was also efficient, requiring adequate training.
The traditional 'spinning the pen' method was the most complicated and time-consuming.

Conclusions:

Sampling grid and random GPS point selection offer simpler, quicker, and more robust alternatives to the traditional method for urban cluster surveys.
These alternative methods may favor households in lower-density areas in rural settings.
Method selection should consider context, resources, and feasibility.