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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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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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Sampling Plans01:23

Sampling Plans

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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.
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...
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Sample Size Calculation01:19

Sample Size Calculation

6.4K
Knowledge of the sample size is the first requirement to conduct random sampling or an experiment. The sample size is the total number of units, observations, or groups (in some cases) used to get the data to estimate a population parameter. As the name suggests, the sample size is that of the sample drawn from the population and differs from the population size.
The sample size for the given experiment or sampling effort is fundamental to any study design. Sample size decides the number of...
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Sampling Methods: Overview01:06

Sampling Methods: Overview

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A sample refers to a smaller subset representative of a larger population. In analytical chemistry, studying or analyzing an entire population is often impractical or impossible. Therefore, samples are used to draw inferences and generalize the whole population. The sampling method selects individuals or items from a population to create a sample. Standard sampling methods include random, judgemental, systematic, stratified, and cluster sampling. 
In analytical chemistry, the choice of...
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相关实验视频

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Sampling Soils in a Heterogeneous Research Plot
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具有成本效益的经验采样方法研究:将预算限制纳入样本规模决策中.

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  • 1Research Group of Quantitative Psychology and Individual Differences, KU Leuven.

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概括
此摘要是机器生成的。

规划经验采样方法 (ESM) 研究需要平衡样本大小 (N) 和测量次数 (T) 与预算限制. 这项研究引入了成本函数方法,用于ESM研究中的最佳样本大小决策.

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科学领域:

  • 心理学 心理学 心理学
  • 精神病学是一个精神病学.
  • 研究方法研究方法研究方法学

背景情况:

  • 经验采样方法 (ESM) 对于研究日常精神病理过程至关重要.
  • 确定最佳样本大小 (N个参与者,T次测量) 是关键的,但复杂的.
  • 现有的样本规模规划方法往往忽视了预算和可行性限制.

研究的目的:

  • 通过将预算限制纳入ESM样本规模规划,扩展传统的权力分析.
  • 为了证明在ESM研究中将预算考虑形式化为成本函数.
  • 在预算限制范围内提供一种最佳选择N和T值的方法.

主要方法:

  • 制定了一个框架,将预算限制纳入ESM研究的权力分析.
  • 将正式的预算考虑转化为研究特定的成本函数.
  • 应用框架以优化确定参与者 (N) 和测量场合 (T) 数.

主要成果:

  • 最佳样本大小 (N和T) 的决定受到研究特定成本函数的显著影响.
  • 插图示例显示,在各种ESM设计中,最佳N和T的实质差异很大.
  • 拟议的方法允许在ESM研究中进行预算意识的,现实的样本规模规划.

结论:

  • 将预算限制纳入样本规模规划中,对于现实的ESM研究设计至关重要.
  • 正式化的成本函数方法使得N和T的最佳选择,平衡功率和成本.
  • 这种方法支持在各种精神病学调查中更有效和可行的ESM研究.