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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...

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...

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 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.
In analytical chemistry, the choice of sampling...

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...

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...

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Related Experiment Video

Updated: May 16, 2026

Oral Biofilm Sampling for Microbiome Analysis in Healthy Children

Oral Biofilm Sampling for Microbiome Analysis in Healthy Children

Published on: December 31, 2017

Implementing provider-based sampling for the National Children's Study: opportunities and challenges.

Kathleen Belanger¹, Stephen Buka, Debra C Cherry

¹School of Public Health, Yale University Schools of Public Health and Medicine, New Haven, CT 06510, USA. michael.bracken@yale.edu

Paediatric and Perinatal Epidemiology

|December 11, 2012

Summary

A new sampling strategy using prenatal care providers offers an efficient and cost-effective method for the National Children's Study (NCS) to achieve a national probability sample of births for vital child health research.

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A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting

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Last Updated: May 16, 2026

Oral Biofilm Sampling for Microbiome Analysis in Healthy Children

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Published on: December 31, 2017

Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India

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A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting

Published on: January 12, 2018

Area of Science:

Pediatric epidemiology
Biostatistics
Public Health

Background:

The National Children's Study (NCS) aimed to prospectively study child health from in utero to age 21 using a national probability sample.
Initial secondary sampling units (geographic segments) were found to be inefficient for the NCS.

Purpose of the Study:

To propose and evaluate prenatal care provider-based sampling as an efficient and cost-effective strategy for the NCS.
To address challenges associated with provider-based sampling for national cohort studies.

Main Methods:

Proposing a second-stage sampling strategy centered on prenatal care providers.
Discussing methods for creating a sampling frame of providers.
Identifying and addressing challenges in provider-based sampling, including geographic diversity and recruitment.

Main Results:

Prenatal care provider sampling is presented as an efficient and cost-effective approach for national birth sampling.
Strategies for assembling provider sampling frames and addressing specific challenges are outlined.

Conclusions:

Probability sampling is essential for national cohort studies to ensure valid, generalizable risk estimates and accurate policy impact assessments.
Provider-based sampling offers a viable solution to enhance the efficiency and cost-effectiveness of large-scale birth cohort studies like the NCS.