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Related Concept Videos

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 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...
Random Sampling Method01:09

Random 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. Among the various sampling methods used by...
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...
Surveys02:16

Surveys

Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
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...

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Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow
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Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow

Published on: October 17, 2025

Respondent-Driven Sampling: An Assessment of Current Methodology.

Krista J Gile1, Mark S Handcock

  • 1Nuffield College, University of Oxford.

Sociological Methodology
|September 13, 2012
PubMed
Summary
This summary is machine-generated.

Respondent-Driven Sampling (RDS) can introduce bias due to initial samples and respondent behavior. Current estimators rely on assumptions often unmet in practice, requiring methodological improvements for accurate data from hard-to-reach populations.

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Methods of Soil Resampling to Monitor Changes in the Chemical Concentrations of Forest Soils
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Related Experiment Videos

Last Updated: May 18, 2026

Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow
08:58

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Published on: October 17, 2025

Methods of Soil Resampling to Monitor Changes in the Chemical Concentrations of Forest Soils
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Area of Science:

  • Social Sciences
  • Statistics
  • Network Sampling

Background:

  • Respondent-Driven Sampling (RDS) is a network sampling method for reaching hidden populations.
  • RDS uses social networks to expand samples and reduce reliance on initial convenience samples.

Purpose of the Study:

  • Evaluate the sensitivity of RDS estimators to critical assumptions.
  • Identify biases in RDS due to initial sampling, respondent behavior, and sampling structure.

Main Methods:

  • Analysis of three critical sensitivities of RDS estimators.
  • Examining bias from initial seed samples.
  • Assessing impact of preferential referral and sampling without replacement.

Main Results:

  • Initial convenience samples can induce bias; typical RDS waves may not achieve unbiasedness.
  • Preferential referral behavior by respondents demonstrably leads to bias.
  • Current RDS estimators exhibit significant bias when sampling a large population fraction.

Conclusions:

  • Current RDS statistical properties depend on often unrealistic assumptions.
  • RDS methodology requires critical evaluation and potential improvements for unbiased estimation.
  • A cautionary note is advised for users of Respondent-Driven Sampling.