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相关概念视频

Sample Proportion and Population Proportion01:20

Sample Proportion and Population Proportion

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Collecting samples or responses from an entire population takes significant time and effort, so a researcher collects responses from only a sample of that population. Suppose a study needs to collect information about a specific mobile application. After sample collection, the researcher analyzes the data and discovers that most individuals in the sample use that specific mobile application. The sample proportion measures the number of individuals in a sample who either use or don't use the...
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Convenience Sampling Method00:55

Convenience Sampling Method

8.6K
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...
8.6K
Systematic Sampling Method01:17

Systematic Sampling Method

9.9K
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...
9.9K
Data Collection by Survey01:07

Data Collection by Survey

6.4K
The systematic method of obtaining and analyzing accurate information of a population is called data collection. A survey is a standard method of data collection that involves collecting information from a target human population about their experience, opinion, or knowledge of a product, service, or process. The responses are recorded and interpreted. The most common survey examples are written questionnaires, face-to-face or telephonic conversations, focus groups, and electronic (e-mail or...
6.4K
Stratified Sampling Method01:16

Stratified Sampling Method

11.7K
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.
To choose a stratified sample, divide the population into groups called strata and then take a...
11.7K
Response Surface Methodology01:16

Response Surface Methodology

82
Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
82

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相关实验视频

Updated: May 24, 2025

Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq
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开放RDS:一个开源的移动应用程序,用于促进受访者驱动的抽样调查.

Zachary Sappington, Cameron Woodard, Morgan Jackson

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
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    概括

    开放RDS (o-RDS) 是一个新的移动第一的Web应用程序,旨在简化受访者驱动的采样 (RDS) 调查,用于难以到达的人群. 这种开源工具增强了公共卫生研究的数据收集,安全性和可访问性.

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    Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs
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    Use of a Video Scoring Anchor for Rapid Serial Assessment of Social Communication in Toddlers
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    相关实验视频

    Last Updated: May 24, 2025

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    科学领域:

    • 公共卫生 公共卫生
    • 计算机科学 计算机科学
    • 社会科学 社会科学 社会科学

    背景情况:

    • 受访者驱动采样 (RDS) 对于研究隐藏种群至关重要.
    • 传统的RDS方法可能是复杂和昂贵的.
    • 移动技术有可能提高RDS的可访问性和效率.

    研究的目的:

    • 介绍Open-RDS (o-RDS),一个开源的,移动优先的Web应用程序.
    • 简化进行RDS调查的流程.
    • 在RDS数据收集中增强安全性,保密性和用户友好性.

    主要方法:

    • 开发了一个响应式的Web应用程序,可在移动设备上访问.
    • 综合功能用于调查创建,管理和数据收集.
    • 集成的安全措施,推跟踪和激励支付功能.

    主要成果:

    • o-RDS为RDS调查提供了一个具有成本效益和用户友好的平台.
    • 该应用程序简化了调查执行,提高了安全性和推流程.
    • 移动优先设计提高了研究人员和参与者的可访问性.

    结论:

    • o-RDS提供了一种灵活且安全的解决方案,用于进行RDS调查.
    • 开源性质鼓励社区发展和定制.
    • o-RDS有潜力通过扩大对隐藏人口的覆盖范围来改善公共卫生数据.