相关实验视频

Updated: May 9, 2025

Use of a Video Scoring Anchor for Rapid Serial Assessment of Social Communication in Toddlers
09:16

Use of a Video Scoring Anchor for Rapid Serial Assessment of Social Communication in Toddlers

Published on: March 14, 2018

10.2K

基于学校的集群的集群内相关系数的模式,对改善学生社会情绪功能结果的干预措施的随机对照试验:对五项英国研究的二次数据分析

Kitty Parker1, Michael Nunns2, ZhiMin Xiao3

  • 1NIHR Applied Research Collaboration South West Peninsula (PenARC), University of Exeter, Exeter, UK.

BMC medical research methodology
|May 3, 2025
PubMed
概括

在基于学校的试验中,社会情绪功能的集群内相关系数 (ICC) 因报告者而异. 教师报告的ICC通常更高,影响了集群随机试验的样本大小计算.

关键词:
课堂教室 课堂教室集群随机试验的随机试验.集群内部相关系数的相关系数心理健康 心理健康学生 学生 学生 学生学校 学校的学校社会情感功能 社交情感功能

更多相关视频

Psychophysiological Assessment of the Effectiveness of Emotion Regulation Strategies in Childhood08:09

Psychophysiological Assessment of the Effectiveness of Emotion Regulation Strategies in Childhood

Published on: February 11, 2017

11.4K
Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools11:29

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

Published on: June 20, 2020

9.0K

相关概念视频

Group Design02:01

Group Design

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...
8.8K
Coefficient of Correlation01:12

Coefficient of Correlation

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...
5.9K
Spearman's Rank Correlation Test01:20

Spearman's Rank Correlation Test

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...
609
Correlations02:20

Correlations

Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
32.0K
Cluster Sampling Method01:20

Cluster Sampling Method

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...
11.5K