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Related Concept Videos

Sampling Methods: Overview01:06

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...
Sampling Plans01:23

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 Method00:55

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...
Sampling Methods: Sample Types01:18

Sampling Methods: Sample Types

Sampling materials are classified into three main types: solid, liquid, and gas.
Solid samples include a variety of substances, such as sediments from water bodies, soil, metals, and biological tissues. Two standard methods for extracting sediments from water bodies are grab sampling and piston coring. Grab sampling involves using a device to collect a discrete sediment sample from the bottom of a water body with minimal disturbance. Grab samples do not always represent the entire area due to...
Systematic Sampling Method01:17

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...
Sampling Theorem01:15

Sampling Theorem

In signal processing, the analysis of continuous-time signals, denoted as x(t), often involves sampling techniques to convert these signals into discrete-time signals. This process is essential for digital representation and manipulation. A critical component in sampling is the train of impulses, characterized by the sampling interval and the sampling frequency. The relationship between these parameters and the original signal's properties dictates the success of the sampling process.

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[The place of the individual in the field of health: lessons from qualitative investigation].

Ciencia & saude coletiva·2014
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Sampling Soils in a Heterogeneous Research Plot
07:11

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[Sampling in qualitative research: basic principles and some controversies].

Carolina Martínez-Salgado1

  • 1Departamento de Atención a la Salud, Universidad Autónoma Metropolitana, México, DF, México. cmartine@correo.xoc.uam.mx

Ciencia & Saude Coletiva
|March 28, 2012
PubMed
Summary

This study contrasts qualitative participant selection with epidemiological probability sampling. It introduces concepts like nomothetic and ideographic generalizability, transferability, and saturation for robust qualitative research design.

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Last Updated: May 23, 2026

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Area of Science:

  • Epidemiology
  • Qualitative Research Methods

Context:

  • Contrasts participant selection in qualitative research with probability sampling in epidemiology.
  • Highlights the importance of understanding different generalizability concepts for research validity.

Purpose:

  • To explain the rationale behind participant selection in qualitative research.
  • To differentiate qualitative sampling from epidemiological probability sampling.
  • To introduce key concepts for enhancing qualitative research rigor.

Summary:

  • Discusses nomothetic and ideographic generalizability, transferability, and reflexivity.
  • Explains fundamental qualitative sampling types and the concept of saturation.
  • Addresses recent controversies and paradigmatic perspectives in qualitative research.

Impact:

  • Provides a framework for combining qualitative and epidemiological research approaches.
  • Offers implications for improving the study of health issues through diverse research methodologies.
  • Enhances understanding of qualitative research principles for broader scientific application.