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

Quantifying Work02:30

Quantifying Work

19.2K
As a system undergoes a change, its internal energy can change, and energy can be transferred from the system to the surroundings, or from the surroundings to the system. 
19.2K
Measures of Intelligence01:29

Measures of Intelligence

7.1K
Psychologists measure intelligence by using standardized tests that produce a score known as the intelligence quotient or IQ. To understand IQ tests, it's important to recognize the key principles behind their construction: validity, reliability, and standardization.
Validity refers to how well a test measures what it claims to measure. An intelligence test should accurately assess intelligence rather than another characteristic, like anxiety. Criterion validity is one way to evaluate this;...
7.1K
Three Developmental Domains01:29

Three Developmental Domains

112
Human development is typically examined across three main domains: physical, cognitive, and socio-emotional. These domains represent the significant areas of change and continuity throughout the lifespan, from infancy to late adulthood.
Physical Development
Physical processes, also known as maturation, encompass the biological changes that occur across an individual's life. These changes begin with genetic inheritance and continue through various stages, including growth in height and...
112
Coefficient of Correlation01:12

Coefficient of Correlation

6.1K
The correlation coefficient, r, developed by Karl Pearson in the early 1900s, is numerical and provides a measure of strength and direction of the linear association between the independent variable x and the dependent variable y.
If you suspect a linear relationship between x and y, then r can measure how strong the linear relationship is.
What the VALUE of r tells us:
The value of r is always between –1 and +1: –1 ≤ r ≤ 1.
The size of the correlation r indicates the...
6.1K
Kendall's Coefficient of Concordance01:20

Kendall's Coefficient of Concordance

286
Kendall's Coefficient of Concordance (W), also known as Kendall's W, is a non-parametric statistical measure used to assess the agreement or concordance between multiple raters or judges when they rank a set of items. It is often used when you have ordinal data (ranks) and you want to see if there is consistency or consensus among the raters. It is widely applied in research areas such as psychology, medicine, and social sciences, where multiple judges are asked to rank or rate subjects...
286
Quantitative Analysis01:12

Quantitative Analysis

256
Quantitative analysis is a technique for measuring the amount of specific constituents in a sample. When the sample's composition is unknown, qualitative analysis is performed first to identify its components, which ensures that the correct substances are measured during the quantitative phase.
In quantitative analysis, two key measurements are made: the sample quantity and a property proportional to the amount of the analyte (the substance being analyzed). This forms the basis of the...
256

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

African American Preschoolers' Performance on Norm-Referenced Language Assessments: Examining the Effect of Dialect Density and the Use of Scoring Modifications.

Language, speech, and hearing services in schools·2024
Same author

Revisiting the definition of dyslexia.

Annals of dyslexia·2024
Same author

Effects of a Virtually Delivered Reading and Embedded Mindset Intervention on Reading Performance for Fourth-Grader Struggling Readers.

Topics in language disorders·2023
Same author

Spelling-to-pronunciation transparency ratings for the 20,000 most frequently written English words.

Behavior research methods·2023
Same author

Heterogeneity in Reading Achievement and Mindset of Readers with Reading Difficulties.

Reading and writing·2023
Same author

Screening screeners: calculating classification indices using correlations and cut-points.

Annals of dyslexia·2022

相关实验视频

Updated: Jun 14, 2025

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers
12:39

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

Published on: January 18, 2020

7.6K

在个人层面量化共同发展的指标.

Ashley A Edwards1, Yaacov Petscher2

  • 1Florida Center for Reading Research, Florida State University, 2010 Levy Avenue, Suite 100, Tallahassee, Florida, 32310, USA. aedwards@fcrr.org.

Behavior research methods
|September 4, 2024
PubMed
概括
此摘要是机器生成的。

本研究引入了两种新指标,即共同发展变化比率 (CCR) 和共同发展指标的角度 (ACM),以量化技能发展中的个人差异. 这些指标提供了一个比视觉检查矢量图谱更客观的方法.

关键词:
共同发展的共同发展增长的增长 增长的增长个人差异 个人差异矢量图的图形是指一个矢量图.

更多相关视频

Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools
11:29

Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools

Published on: June 20, 2020

9.0K
Development of a Virtual Reality Assessment of Everyday Living Skills
10:32

Development of a Virtual Reality Assessment of Everyday Living Skills

Published on: April 23, 2014

18.4K

相关实验视频

Last Updated: Jun 14, 2025

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers
12:39

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

Published on: January 18, 2020

7.6K
Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools
11:29

Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools

Published on: June 20, 2020

9.0K
Development of a Virtual Reality Assessment of Everyday Living Skills
10:32

Development of a Virtual Reality Assessment of Everyday Living Skills

Published on: April 23, 2014

18.4K

科学领域:

  • 发展心理学 发展心理学
  • 量化方法 量化方法
  • 技能获取 技能获得 技能获取

背景情况:

  • 共同发展研究传统上侧重于群体层面的动态.
  • 共同发展中的个人差异至关重要,但往往被忽视.
  • 评估个人共同发展的现有视觉方法缺乏定量严格性.

研究的目的:

  • 引入新的定量指标来评估个人共同发展.
  • 为计算和解释这些新指标提供一个教程.
  • 为了能够更精确地分析个人如何与同龄人相比发展技能.

主要方法:

  • 关于共同开发变化比率 (CCR) 的建议.
  • 关于共同开发指标 (ACM) 角度的建议.
  • 计算和解释的演示,用于个人层面的分析.

主要成果:

  • CCR量化了技能发展相对于同行成长的对称性.
  • ACM测量了每个技能变化的相对数量和方向.
  • 这些指标提供了客观,可计算的个人共同发展指标.

结论:

  • CCR和ACM为了解个人共同发展提供了强大的定量工具.
  • 这些指标超越了对矢量图的主观视觉分析.
  • 提出的方法有助于更深入地了解不同技能获取模式.