Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Friedman Two-way Analysis of Variance by Ranks01:21

Friedman Two-way Analysis of Variance by Ranks

206
Friedman's Two-Way Analysis of Variance by Ranks is a nonparametric test designed to identify differences across multiple test attempts when traditional assumptions of normality and equal variances do not apply. Unlike conventional ANOVA, which requires normally distributed data with equal variances, Friedman's test is ideal for ordinal or non-normally distributed data, making it particularly useful for analyzing dependent samples, such as matched subjects over time or repeated measures...
206
The Stanford Prison Experiment03:20

The Stanford Prison Experiment

23.2K
The famous and controversial Stanford Prison Experiment, conducted by social psychologist Philip Zimbardo and his colleagues at Stanford University, demonstrated the power of social roles, social norms, and scripts.
23.2K
Factorial Design02:01

Factorial Design

13.0K
Factorial Analysis is an experimental design that applies Analysis of Variance (ANOVA) statistical procedures to examine a change in a dependent variable due to more than one independent variable, also known as factors. Changes in worker productivity can be reasoned, for example, to be influenced by salary and other conditions, such as skill level. One way to test this hypothesis is by categorizing salary into three levels (low, moderate, and high) and skills sets into two levels (entry level...
13.0K
Statistical Significance01:50

Statistical Significance

20.1K
Once data is collected from both the experimental and the control groups, a statistical analysis is conducted to find out if there are meaningful differences between the two groups. A statistical analysis determines how likely any difference found is due to chance (and thus not meaningful). In psychology, group differences are considered meaningful, or significant, if the odds that these differences occurred by chance alone are 5 percent or less. Stated another way, if we repeated this...
20.1K
Group Design02:01

Group Design

8.9K
The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between...
8.9K
What is an Experiment?01:12

What is an Experiment?

11.6K
An experiment is a planned activity carried out under controlled conditions. The purpose of an experiment is to investigate the relationship between two variables. When one variable causes change in another, we call the first variable the explanatory or independent variable. The affected variable is called the response or dependent variable. In a randomized experiment, the researcher manipulates values of the explanatory variable and measures the resulting changes in the response variable. The...
11.6K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

The form of <i>good</i>.

Philosophical studies·2026
Same author

Category Mistakes Electrified.

Review of philosophy and psychology·2024
Same author

Paradox and context shift.

Philosophical studies·2023
Same author

How to have a metalinguistic dispute.

Synthese·2021
Same journal

Operationalizing focus-sensitivity in a cross-linguistic context.

Natural language semantics·2026
Same journal

Distributive kind predication.

Natural language semantics·2026
Same journal

Decomposing logophoric pronouns: a presuppositional account of logophoric dependencies.

Natural language semantics·2025
Same journal

From state to change of state by type-shift.

Natural language semantics·2025
Same journal

Word learning tasks as a window into the <i>triggering problem</i> for presuppositions.

Natural language semantics·2024
Same journal

Mental states via possessive predication: the grammar of possessive experiencer complex predicates in Persian.

Natural language semantics·2024
查看所有相关文章

相关实验视频

Updated: Jul 11, 2025

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
08:27

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits

Published on: September 27, 2019

6.9K

在每一位美国国王身上进行实验.

Poppy Mankowitz1

  • 1University of Bristol, Bristol, United Kingdom.

Natural language semantics
|November 16, 2023
PubMed
概括
此摘要是机器生成的。

标准语义预测可以预测.

关键词:
空的限制器是空的每一个每一个每一个每一个每一个实验 实验 实验 实验 实验量化器 是一个量化器.

更多相关视频

Protocol for Data Collection and Analysis Applied to Automated Facial Expression Analysis Technology and Temporal Analysis for Sensory Evaluation
07:12

Protocol for Data Collection and Analysis Applied to Automated Facial Expression Analysis Technology and Temporal Analysis for Sensory Evaluation

Published on: August 26, 2016

9.5K
Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
09:09

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

Published on: September 27, 2024

464

相关实验视频

Last Updated: Jul 11, 2025

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
08:27

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits

Published on: September 27, 2019

6.9K
Protocol for Data Collection and Analysis Applied to Automated Facial Expression Analysis Technology and Temporal Analysis for Sensory Evaluation
07:12

Protocol for Data Collection and Analysis Applied to Automated Facial Expression Analysis Technology and Temporal Analysis for Sensory Evaluation

Published on: August 26, 2016

9.5K
Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
09:09

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

Published on: September 27, 2024

464

科学领域:

  • 语义学和实用学 在
  • 正式语义是正式的语义.
  • 自然语言理解 自然语言理解

背景情况:

  • 标准语义理论预测带有空限制符的句子 (例如",每个美国国王") 都是真实的.
  • 然而,许多人觉得这样的句子很奇怪,特别是与"没有"相比的"每一个"等决定因素.
  • 缺乏对空限制符的感知进行实证研究.

研究的目的:

  • 实证地调查人们如何判断空的限制符的句子的真实性和奇怪性.
  • 检查确定器类型是否影响这些判断.
  • 测试现有的语义帐户与经验数据对比.

主要方法:

  • 进行了三项实验性调查.
  • 参与者判断了含有"每一个"和"没有"的句子的真实性和/或奇怪性.
  • 分析了数据以识别基于决定器类型和真实值赋值的判断模式.

主要成果:

  • 在判断句子是奇异的趋势上没有发现显著的差异,基于决定者的类型 ('every' vs. 'no').
  • 将真值赋予"每一个"句子的评估者,其中有空的限制符,绝大多数被赋予"错误".
  • 现有的语义理论并不能直接解释这些发现.

结论:

  • 经验结果挑战了用空限制符对"每一个"的标准语义预测.
  • 对这些句子赋予"false"的倾向需要新的理论解释.
  • 这项研究强调了语义理论需要与语言用户的经验判断保持一致.