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相关概念视频

Sampling Plans01:23

Sampling Plans

880
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...
880
Convenience Sampling Method00:55

Convenience Sampling Method

10.9K
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.
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...
10.9K
Random Sampling Method01:09

Random Sampling Method

14.1K
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...
14.1K
Stratified Sampling Method01:16

Stratified Sampling Method

14.5K
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...
14.5K
Sampling Methods: Overview01:06

Sampling Methods: Overview

2.2K
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...
2.2K
Cluster Sampling Method01:20

Cluster Sampling Method

13.9K
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...
13.9K

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相关实验视频

Updated: Jan 12, 2026

Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
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Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods

Published on: September 19, 2012

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抽样策略如何塑造基于经验的风险选择.

Linus Hof1, Veronika Zilker2, Thorsten Pachur3

  • 1TUM School of Management, Technical University of Munich, Germany.

Cognitive psychology
|November 4, 2025
PubMed
概括
此摘要是机器生成的。

信息搜索策略,如在选项之间切换,显著影响有风险的选择. 了解这些搜索过程为决策提供了超越传统心理经济模型的新见解.

关键词:
有限制的理性.根据经验做出决定.有风险的选择选择.采样 采样 采样搜索 搜索 搜索 搜索 搜索

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Radio Frequency Identification and Motion-sensitive Video Efficiently Automate Recording of Unrewarded Choice Behavior by Bumblebees
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Radio Frequency Identification and Motion-sensitive Video Efficiently Automate Recording of Unrewarded Choice Behavior by Bumblebees

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Measuring Delay Discounting in Humans Using an Adjusting Amount Task
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Measuring Delay Discounting in Humans Using an Adjusting Amount Task

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相关实验视频

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Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
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Radio Frequency Identification and Motion-sensitive Video Efficiently Automate Recording of Unrewarded Choice Behavior by Bumblebees
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科学领域:

  • 认知心理学 认知心理学
  • 行为经济学是一种行为经济学.
  • 计算神经科学是一种神经科学.

背景情况:

  • 风险选择现象,如风险厌恶,通常使用心理经济曲线建模.
  • 这些模型描述了选择,但没有描述底层的认知过程.
  • 在决策过程中搜索信息是一个至关重要的,但往往被忽视的因素.

研究的目的:

  • 研究信息搜索策略,特别是切换和停止规则如何塑造基于经验的风险选择.
  • 开发一个计算框架,用于分析决策中的采样策略.
  • 将搜索流程与风险决策中观察到的模式联系起来.

主要方法:

  • 开发了一个具有三个组成部分的计算框架:搜索规则 (切换),比较规则 (圆向与摘要) 和停止规则.
  • 进行模拟分析,比较这些采样策略组件的各种组合.
  • 进行实证分析来评估人类的决策策略.

主要成果:

  • 频繁切换可以增加或减少预期值 (EV) -最大化选择,这取决于所使用的比较规则.
  • 切换行为会影响罕见事件和风险态度的明显加权.
  • 经验数据表明,人类采用促进EV最大化选择的策略.

结论:

  • 信息搜索过程,包括切换和停止规则,在产生风险选择模式方面发挥着重要作用.
  • 搜索策略的计算建模为决策提供了一个新的视角.
  • 未来的研究应该进一步探索信息搜索和风险决策之间的相互作用.