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Related Concept Videos

Sampling Methods: Overview01:06

Sampling Methods: Overview

379
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...
379
Sampling Plans01:23

Sampling Plans

208
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...
208
Random Sampling Method01:09

Random Sampling Method

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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...
11.2K
Convenience Sampling Method00:55

Convenience Sampling Method

9.0K
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...
9.0K
Cluster Sampling Method01:20

Cluster Sampling Method

12.0K
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...
12.0K
Systematic Sampling Method01:17

Systematic Sampling Method

10.4K
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...
10.4K

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Updated: Jul 19, 2025

Sampling Soils in a Heterogeneous Research Plot
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Sampling Methods: A guide for researchers.

Ann Eshenaur Spolarich1

  • 1Arizona School of Dentistry & Oral Health A.T. Still University, Mesa, AZ, USA aspolarich@atsu.edu.

Journal of Dental Hygiene : JDH
|August 8, 2023
PubMed
Summary

This report reviews sampling methods in research, including probability and non-probability sampling. It highlights the importance of sample size, power, and clear participant characteristics for accurate study results.

Area of Science:

  • Research Methodology
  • Biostatistics

Background:

  • Sampling is fundamental to research design, ensuring study participants represent the target population.
  • Effective sampling methods are crucial for the validity and generalizability of research findings.

Purpose of the Study:

  • To review common considerations in research sampling.
  • To discuss potential errors associated with different sampling techniques.

Main Methods:

  • The report reviews probability and non-probability sampling techniques.
  • It discusses the role of statistical power and sample size determination.
  • Defining sample population characteristics for eligibility is examined.

Main Results:

  • Different study designs necessitate distinct sample selection strategies.
Keywords:
research designsample sizesampling

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  • Clear definition of sample characteristics enhances statistical power.
  • Understanding sampling methods minimizes potential research errors.

    • Conclusions:

    • Appropriate sampling is essential for robust research outcomes.
    • Careful consideration of sampling methods and potential errors improves study quality.