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Related Concept Videos

Stratified Sampling Method01:16

Stratified 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. 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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Sampling Plans01:23

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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...
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Systematic Sampling Method01:17

Systematic 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.
Systematic sampling is one of the simplest methods...
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Convenience Sampling Method00:55

Convenience 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.
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...
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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...
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Sampling Methods: Overview01:06

Sampling Methods: Overview

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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...
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Sampling Soils in a Heterogeneous Research Plot
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Methodology Series Module 5: Sampling Strategies.

Maninder Singh Setia1

  • 1Epidemiologist, MGM Institute of Health Sciences, Navi Mumbai, Maharashtra, India.

Indian Journal of Dermatology
|October 1, 2016
PubMed
Summary
This summary is machine-generated.

Choosing the right sampling method is crucial for research validity. Probability and non-probability sampling techniques have distinct applications based on study goals and generalizability needs.

Keywords:
Non-probability samplingprobability samplingsampling strategies

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Area of Science:

  • Clinical Research Methodology
  • Biostatistics

Background:

  • Accurate sample selection is fundamental after defining research questions and design.
  • The sampling method directly influences study outcomes and generalizability.

Purpose of the Study:

  • To elucidate the critical role of sampling methods in clinical research.
  • To differentiate between probability and non-probability sampling techniques.
  • To emphasize the importance of transparently reporting sampling methods in manuscripts.

Main Methods:

  • Distinction between probability sampling (e.g., random, stratified random) and non-probability sampling (e.g., purposive, convenience, quota).
  • Explanation of chance-based selection versus researcher-driven or accessibility-based selection.
  • Highlighting that the choice of method depends on research objectives, such as in-depth analysis versus broad generalizability.

Main Results:

  • Probability sampling relies on random chance for sample selection.
  • Non-probability sampling involves subjective or convenience-based selection.
  • Specific non-probability methods include purposive, convenience, and quota sampling.

Conclusions:

  • Understanding and correctly applying sampling methods are essential for rigorous clinical studies.
  • Misrepresentation of sampling methods, such as labeling convenience samples as random, undermines research integrity.
  • The research question dictates the most appropriate sampling strategy, balancing depth versus breadth of findings.