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相关概念视频

Ordinal Level of Measurement00:55

Ordinal Level of Measurement

24.8K
The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
Data measured using an ordinal scale are similar to nominal scale data, but there is one major difference. The ordinal scale data can be ordered. An example of ordinal scale data is a list of the top five national parks...
24.8K
Entropy02:39

Entropy

30.3K
Salt particles that have dissolved in water never spontaneously come back together in solution to reform solid particles. Moreover, a gas that has expanded in a vacuum remains dispersed and never spontaneously reassembles. The unidirectional nature of these phenomena is the result of a thermodynamic state function called entropy (S). Entropy is the measure of the extent to which the energy is dispersed throughout a system, or in other words, it is proportional to the degree of disorder of a...
30.3K
Spearman's Rank Correlation Test01:20

Spearman's Rank Correlation Test

840
Spearman's rank correlation test, also known as Spearman's rho, is a nonparametric method for assessing the strength and direction of association between two variables. This test is particularly valuable when the data distribution is unknown or when the assumption of normality does not hold. Named after the English psychologist and statistician Dr. Charles Edward Spearman, it serves as the nonparametric counterpart to Pearson's correlation coefficient.
Spearman's test calculates...
840
Trait and State Self-Esteem02:08

Trait and State Self-Esteem

10.9K
The term self-esteem is often used generically, to refer to how people feel about themselves. However, according to research, there are three distinct constructs that should not be used interchangeably (Brown & Marshall, 2006). 
10.9K
Self-Report Tests of Personality01:22

Self-Report Tests of Personality

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Self-report inventories are objective personality assessments that use multiple-choice items or numbered scales, typically ranging from 1 (strongly disagree) to 5 (strongly agree). They are often called Likert scales after Rensis Likert. These inventories are widely used due to their ease of administration and cost-effectiveness. One of the most prominent examples is the Minnesota Multiphasic Personality Inventory (MMPI), initially developed in the 1940s to assess abnormal personality traits.
376
Self-Evaluation: Self-Enhancement and Self-Verification03:00

Self-Evaluation: Self-Enhancement and Self-Verification

5.2K
Social psychologists have documented that feeling good about ourselves and maintaining positive self-esteem is a powerful motivator of human behavior (Tavris & Aronson, 2008). In the United States, members of the predominant culture typically think very highly of themselves and view themselves as good people who are above average on many desirable traits (Ehrlinger, Gilovich, & Ross, 2005). Often, our behavior, attitudes, and beliefs are affected when we experience a threat to our...
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相关实验视频

Updated: Jul 15, 2025

Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy
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Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy

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顺序条件透显示显示罗森伯格自尊度量表的内在特征

Emanuela Furfaro1, Fushing Hsieh2

  • 1Department of Statistics, University of Washington, Seattle, WA 98195, USA.

Entropy (Basel, Switzerland)
|September 28, 2023
PubMed
概括

这项研究引入了条件来分析顺序评级数据,揭示了自尊反应中明显的不确定性模式. 这些基于的见解在不同年龄组中是一致的.

科学领域:

  • 心理测量 心理测量 心理测量
  • 信息理论 信息理论
  • 数据分析 数据分析

背景情况:

  • 顺序和分类评级数据通常使用数值数据的方法进行分析,尽管存在固有的差异.
  • 现有的方法可能无法完全捕捉主观自我评价中不确定性的细微差别.

研究的目的:

  • 探索条件的实用性,以量化序列自我评分响应中的不确定性.
  • 使用顺序轴显示器可视化和识别响应不确定性的模式.
  • 将这种方法应用于罗森伯格自尊度量数据集.

主要方法:

  • 使用条件来衡量自我评价问题的答案中的不确定性.
  • 开发了一种序列显示器,用于对共变量进行模式的可视化.
  • 分析了在线数据集对罗森伯格自尊度量表的反应.

主要成果:

  • 细度分析显示,高自尊和低自尊的受试者有明显的不确定性水平.
  • 全球分析显示,积极项目的不确定性下降,自我价值更高,负面项目的不确定性增加.
  • 观察到这些基于的模式在不同年龄段保持一致.

结论:

关键词:
有条件的香农.相互条件 (MCE) 是一种条件.网络 网络 网络 网络 网络 网络顺序分类数据 顺序分类数据

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  • 条件为分析顺序评级数据中的不确定性提供了一种新的方法.
  • 这些发现突出了与自尊水平和问题框架相关的特定不确定性模式.
  • 开发的R工具有助于在评级数据研究中应用基于的分析来发现模式.