Inter-rater reliability | Covariance and correlation
In statistics, the interclass correlation (or interclass correlation coefficient) measures a relation between two variables of different classes (types), such as the weights of 10-year-old sons and the weights of their 40-year-old fathers. Deviations of a variable are measured from the mean of the data for that class – a son’s weight minus the mean of all the sons’ weights, or a father’s weight minus the mean of all the fathers’ weights. The Pearson correlation coefficient is the most commonly used measure of interclass correlation. The interclass correlation contrasts with the intraclass correlation between variables of the same class, such as the weights of women and of their identical twins; here deviations are measured from the mean of all members of the single class: in this example of all women in the set of identical twins. (Wikipedia).
JASP 0.16 Tutorial: Inter-Item Correlation Reliability Module (Episode 40)
In this JASP tutorial, I explore briefly the new options and calculations of the Inter-item correlation coefficient (ICC) for reliability analysis! The data in this video can be found in the base JASP Data Library. JASP: https://jasp-stats.org NOTE: This tutorial uses the new preview/be
From playlist JASP Tutorials
RELATIONSHIPS Between Variables: Standardized Covariance (7-1)
Correlation is a way of measuring the extent to which two variables are related. The term correlation is synonymous with “relationship.” Variables are related when changes in one variable are consistently associated with changes in another variable. Dr. Daniel reviews Variance, Covariance,
From playlist Correlation And Regression in Statistics (WK 07 - QBA 237)
Multilevel Latent Class Regression of Stages of Change for Multiple Health Behaviors
Multilevel Laten Class Regression of Stages of Change for Multiple Health Behaviors, recorded November 26th, 2012. For more information and access to courses, lectures, and teaching material, please visit the official UC Irvine OpenCourseWare website at: http://ocw.uci.edu
From playlist Public Health: Collections
JASP 0.17 Tutorial: Intraclass Correlation [ICC] Analysis (Episode 47)
In this JASP video, I show you how to perform an Intraclass Correlation (ICC), another reliability analysis that can assist when trying to figure out if judges or measurements are in agreement. It is found under the Reliability Module! JASP: https://jasp-stats.org NOTE: This tutorial use
From playlist JASP Tutorials
Conceptual Questions about Correlation
Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Conceptual Questions about Correlation
From playlist Statistics
Correlation does not Imply Causality, but then again… (7-4)
Correlation Does Not Imply Causation. When we see a correlation, we should not assume a cause-and-effect relationship between the variables. Correlation does not mean one isn’t causing the other, either; we just need more information. The correlation between two variables may be caused by
From playlist Correlation And Regression in Statistics (WK 07 - QBA 237)
GTAC 2009 - Even Better Than the Real Thing - Lessons Learne
Google Tech Talk October 21, 2009 ABSTRACT Even Better Than the Real Thing - Lessons Learned from Testing GWT Applications. Presented by Nicolas Wettstein at the 4th Annual Google Test Automation Conference, October 21st, 22nd, 2009, Zurich, CH Web applications are hard to write
From playlist GTAC 2009
Correlation (1 of 3: What does it measure?)
More resources available at www.misterwootube.com
From playlist Descriptive Statistics & Bivariate Data Analysis
Semi Supervised Learning - Session 8
Quick recap Q&A Walkthrough of VaDE Model construction
From playlist Unsupervised and Weakly Supervised Learning
Covariance (8 of 17) What is the Correlation Coefficient?
Visit http://ilectureonline.com for more math and science lectures! To donate:a http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 We will learn what is and how to find the correlation coefficient of 2 data sets and see how it corresponds to the graph of the data
From playlist COVARIANCE AND VARIANCE
Laurent Lafforgue - 2/4 Classifying toposes of geometric theories
Course at the school and conference “Toposes online” (24-30 June 2021): https://aroundtoposes.com/toposesonline/ Slides: https://aroundtoposes.com/wp-content/uploads/2021/07/LafforgueSlidesToposesOnline.pdf The purpose of these lectures will be to present the theory of classifying topose
From playlist Toposes online
Covariance (1 of 17) What is Covariance? in Relation to Variance and Correlation
Visit http://ilectureonline.com for more math and science lectures! To donate:a http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 We will learn the difference between the variance and the covariance. A variance (s^2) is a measure of how spread out the numbers of
From playlist COVARIANCE AND VARIANCE
Intro to the Correlation Coefficient
Brief intro to the correlation coefficient. What it means to have negative correlation, positive correlation or zero correlation. Pearson's, sample and population formulas.
From playlist Correlation
Limits of correlation (applied)
Correlation is a standardized covariance (i.e., translated into unit-less form with volatilities). It cannot be used alone: (i) it can be "distorted" by low volatilities, and (ii) it does not give information revealed by the scatter (in this example, both hedge fund series are similarly co
From playlist Statistics: Introduction
Stanford CS330: Deep Multi-task & Meta Learning | 2020 | Lecture 6: Non-Parametric Few-Shot Learning
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai This lecture covers: Non-Parametric Few-Shot Learning -Siamese networks, matching networks, prototypical networks -Case study of few-shot medical image diagnosis
From playlist Stanford CS330: Deep Multi-task and Meta Learning | Autumn 2020
Correlation Coefficient (2 of 2: Evaluating with a calculator)
More resources available at www.misterwootube.com
From playlist Bivariate Data Analysis
This video is part of a full course on statistics and machine-learning. The full course includes 35 hours of video instruction, tons of Python and MATLAB code, and access to the Q&A forum. More information available here: https://www.udemy.com/course/statsml_x/?couponCode=202006 For a co
From playlist Statistics and machine learning
Lecture 5 - Correlation and Munging
This is Lecture 5 of the CSE519 (Data Science) course taught by Professor Steven Skiena [http://www.cs.stonybrook.edu/~skiena/] at Stony Brook University in 2016. The lecture slides are available at: http://www.cs.stonybrook.edu/~skiena/519 More information may be found here: http://www.
From playlist CSE519 - Data Science Fall 2016
A Gentle Introduction to Correlation – Relationships Between Variables (13-1)
The topic of correlation is one of the most enjoyable parts of statistics, because everyone can understand correlation. We all know what it is to have relationships with other people and we know how our behavior can change when we are around others. Except that instead of relationships bet
From playlist WK13 Correlation - Online Statistics for the Flipped Classroom