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Related Concept Videos

Cluster Sampling Method01:20

Cluster Sampling Method

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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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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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Random Sampling Method01:09

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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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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.
Systematic sampling is one of the simplest methods...
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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.
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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 Soils in a Heterogeneous Research Plot
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A random spatial sampling method in a rural developing nation.

Michelle C Kondo1, Kent D W Bream, Frances K Barg

  • 1United States Department of Agriculture-Forest Service, Northern Research Station, 100 North 20th St Suite 205, Philadelphia, PA 19103, USA. michelleckondo@fs.fed.us.

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Summary
This summary is machine-generated.

This study introduces a novel random spatial sampling method for health surveys in rural developing nations, overcoming challenges of traditional random sampling and improving accuracy for hard-to-reach populations.

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Area of Science:

  • Epidemiology
  • Geographic Information Systems
  • Survey Methodology

Background:

  • Nonrandom sampling in developing nations can lead to inaccurate health estimates, particularly in rural areas.
  • Incomplete population enumeration challenges random sampling in these regions.
  • Hard-to-reach populations require innovative survey methods.

Purpose of the Study:

  • To describe a stratified random sampling method using GIS and GPS for rural health surveys.
  • To assess the feasibility and challenges of this method in a Guatemalan health survey.
  • To provide an alternative to traditional sampling techniques in resource-limited settings.

Main Methods:

  • Stratified random sampling integrated with Geographical Information System (GIS) software and Global Positioning System (GPS) technology.
  • Qualitative study of the enumeration process to identify practical challenges.
  • Application in a rural health survey in Guatemala.

Main Results:

  • The GIS/GPS method offers reduced bias in household selection compared to cluster sampling.
  • Challenges include survey preparation, technological limitations, and in-field household selection.
  • Boundary delineation and satellite imagery translation between GIS and GPS pose difficulties in remote areas.

Conclusions:

  • Random spatial sampling is a viable methodology for surveying remote populations in developing nations.
  • Further validation against established methods is needed for social survey applications.
  • The method shows promise for resource-challenged environments lacking detailed census data.