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Related Concept Videos

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.
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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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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.
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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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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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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 hard to reach populations

J Faugier1, M Sargeant

  • 1NHS Executive North West, Warrington, England.

Journal of Advanced Nursing
|November 14, 1997
PubMed
Summary
This summary is machine-generated.

This study explores nonrandom sampling methods, like snowball sampling, for researching hidden populations such as drug addicts and prostitutes. It highlights the need for more research on sampling hard-to-reach groups in nursing.

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Area of Science:

  • Social Sciences
  • Public Health
  • Nursing Research

Background:

  • Researching 'hidden populations' (e.g., homeless, prostitutes, drug addicts) presents unique methodological challenges.
  • Existing literature on sampling these hard-to-reach groups is limited.
  • Nonrandom sampling methods are often necessary for accessing these populations.

Purpose of the Study:

  • To examine the advantages and limitations of nonrandom data collection methods, specifically snowball sampling.
  • To review the current literature on sampling strategies for hard-to-reach populations.
  • To assess the applicability of these sampling methods in nursing research.

Main Methods:

  • Literature review of sampling strategies for hidden populations.
  • Analysis of nonrandom data collection techniques, including snowball sampling.
  • Case study example: Faugier's (1996) study on prostitutes, HIV, and drugs.

Main Results:

  • Nonrandom methods like snowball sampling offer viable, though limited, approaches for studying hidden populations.
  • There is a significant gap in published research and methodological guidance for sampling hard-to-reach groups.
  • These methods hold potential for nursing research, but require careful consideration of ethical and practical issues.

Conclusions:

  • Nonrandom sampling methods are crucial for overcoming barriers in researching hidden populations.
  • Further methodological development and empirical studies are needed to refine techniques for sampling hard-to-reach groups.
  • Nursing research can benefit from these methods, provided ethical considerations and limitations are addressed.