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相关概念视频

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.
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...
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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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Systematic Sampling Method01:17

Systematic 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. 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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Stratified Sampling Method01:16

Stratified 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. 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

Random 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. 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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Surveys02:16

Surveys

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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.
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比较雪球采样和RDS:一个方法和案例研究.

Dongah Kim1, Krista J Gile2, Bradley Mathers3

  • 1Integrative Biology Department, University of Texas Austin, Austin, Texas, United States of America.

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概括
此摘要是机器生成的。

受访者驱动采样 (RDS) 和雪球采样是接触难以接触的人群的方法. 本研究模拟了它们在生物行为调查中的使用,以比较它们的有效性,并确定何时更简单的方法是合适的.

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科学领域:

  • 流行病学 流行病学
  • 生物统计学 生物统计学
  • 公共卫生 公共卫生

背景情况:

  • 难以接触的群体往往需要专门的采样技术来进行有效的公共卫生监测.
  • 受访者驱动采样 (RDS) 是一种推用于HIV,病毒性肝炎和性传播感染的生物行为调查 (BBS) 的基于概率的方法.
  • 传统的雪球采样通常用于非概率性,并且正在为资源有限的设置开发简化的版本.

研究的目的:

  • 将从卫生服务开始的雪球采样结果与使用基于数据的模拟的受访者驱动采样 (RDS) 的结果进行比较.
  • 在生物行为调查的背景下,评估这两种采样方法之间的相似之处和差异.
  • 为简化快速生物行为调查方法的开发提供信息.

主要方法:

  • 利用基于数据的模拟来建模采样过程.
  • 模拟雪球样本 (从卫生服务部门招聘) 的结果与模拟RDS样本进行了比较.
  • 分析了从每种方法中得出的人口估计的潜在相似性和差异.

主要成果:

  • 模拟提供了关于雪球采样和RDS的比较性能的见解.
  • 确定了雪球采样可能接近RDS结果的特定场景.
  • 突出了抽样复杂性,成本和数据质量之间的权衡.

结论:

  • 受访者驱动采样 (RDS) 在生物行为调查中为基于概率的采样提供了优势.
  • 当RDS不可行时,简化的雪球采样方法可能是可行的替代方案,但需要仔细考虑.
  • 需要进一步的研究和模拟来完善关键人群的快速生物行为调查方法.