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Related Concept Videos

Sampling Plans01:23

Sampling Plans

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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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Stratified Sampling Method01:16

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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.
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Cluster Sampling Method01:20

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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...
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Systematic Sampling Method01:17

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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.
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Convenience Sampling Method00:55

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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.
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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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A sampling strategy for qualitative research.

J Reed, S Procter1, S Murray2

  • 1University of Northumbria, Newcastle.

Nurse Researcher
|June 11, 2016
PubMed
Summary
This summary is machine-generated.

This study explores qualitative research sampling methods, introducing "matrix sampling" to systematically select participants for theoretical sampling. This technique aids informed choices in complex research projects.

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Area of Science:

  • Social Sciences
  • Research Methodology

Background:

  • Qualitative research relies on diverse sampling techniques.
  • Existing methods can present challenges in participant selection for theoretical sampling.

Purpose of the Study:

  • To discuss principles of sampling in qualitative research.
  • To present a novel method, matrix sampling, for systematic participant selection.
  • To illustrate the combination of quantitative and qualitative sampling techniques.

Main Methods:

  • Review of existing sampling principles and techniques in qualitative research.
  • Case study of a research project combining quantitative and qualitative sampling.
  • Development and application of matrix sampling for theoretical sampling.

Main Results:

  • A systematic approach to identifying theoretically useful sampling units was needed.
  • Matrix sampling provides a structured method for making informed sampling choices.
  • Combining diverse sampling techniques can be effective but presents challenges.

Conclusions:

  • Matrix sampling offers a systematic solution for theoretical sampling in qualitative research.
  • The described approach facilitates informed and coherent participant selection.
  • Effective sampling strategies are crucial for the validity of qualitative research.