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
Covariance Definition and Example
What is covariance? How do I find it? Step by step example of a solved covariance problem for a sample, along with an explanation of what the results mean and how it compares to correlation. 00:00 Overview 03:01 Positive, Negative, Zero Correlation 03:19 Covariance for a Sample Example
From playlist Correlation
How to find Correlation in Excel 2013
Visit us at http://www.statisticshowto.com for more FREE statistics and Excel videos.
From playlist Excel for Statistics
This educational video delves into how you quantify a linear statistical relationship between two variables using covariance! #statistics #probability #SoME2 This video gives a visual and intuitive introduction to the covariance, one of the ways we measure a linear statistical relation
From playlist Summer of Math Exposition 2 videos
Covariance (12 of 17) Covariance Matrix wth 3 Data Sets and Correlation Coefficients
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 find the correlation coefficients of the 3 data sets form the previous 2 videos. Next video in this series can be seen at:
From playlist COVARIANCE AND VARIANCE
Covariance (6 of 17) Example of the Covariance Matrix - EX 1
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 find the covariance matrix of 2 data sets. Example 1 Next video in this series can be seen at: https://youtu.be/9DscP6F5CGs
From playlist COVARIANCE AND VARIANCE
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
Covariance (5 of 17) What is the Covariance Matrix?
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 covariance matrix is an nxn matrix (where n=number of data sets) such that the diagonal elements represents the va
From playlist COVARIANCE AND VARIANCE
Covariance (11 of 17) Covariance Matrix with 3 Data Sets (Part 2)
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 find the covariance matrix of 3 data sets. Part 2 Next video in this series can be seen at: https://youtu.be/O5v8ID5Cz_8
From playlist COVARIANCE AND VARIANCE
R - Confirmatory Factor Analysis Lecture
Lecturer: Dr. Erin M. Buchanan Spring 2021 https://www.patreon.com/statisticsofdoom This video covers the basics of confirmatory factor analysis or measurement models. You will learn about how to build, analyze, summarize, and diagram a measurement model in lavan. You can learn more at:
From playlist Structural Equation Modeling 2020
R - Basic Concepts in SEM Class Assignment
Recorded: Summer 2015 Lecturer: Dr. Erin M. Buchanan Class assignment for structural equation modeling. Topic covers how to draw a structural model, latent variables, manifest variables, covariance/correlation, directional relationships, endogenous/exogenous variables, degrees of freedom,
From playlist Structural Equation Modeling
R - Hierarchical Confirmatory Factor Analysis Lecture
Lecturer: Dr. Erin M. Buchanan Missouri State University Summer 2016 This lecture covers the basics to understanding a hierarchical CFA, in contrast to a bifactor CFA model. Interpretation and discussion of the theoretical differences between these models and first order models are discu
From playlist Structural Equation Modeling
R - Confirmatory Factor Analysis Lecture
Lecturer: Dr. Erin M. Buchanan Missouri State University Summer 2016 This lecture video covers the background to confirmatory factor analysis - identification, scaling, fit indices, and how to interpret parameters. Lecture materials and assignment available at statisticsofdoom.com. htt
From playlist Structural Equation Modeling
JASP - Structural Equation Modeling
Lecturer: Dr. Erin M. Buchanan Missouri State University Summer 2018 Viewer request! This video gives you an overview of how to use the lavaan plug in for JASP to calculate structural equation models. You will learn the basic syntax for models and what output is provided. I recommend my
From playlist Structural Equation Modeling
R - Hierarchical Confirmatory Factor Analysis Lecture
Lecturer: Dr. Erin M. Buchanan Spring 2021 https://www.patreon.com/statisticsofdoom This video covers the second round of confirmatory factor analysis or measurement models. You will learn how to create a hierarchical model and a bifactor CFA model, along with the special considerations
From playlist Structural Equation Modeling 2020
R - Hierarchical Models Examples
Lecturer: Dr. Erin M. Buchanan Missouri State University Summer 2016 This example video covers how to perform a first order CFA, second order CFA, and bi-factor CFA. Lavaan, semPath, and the cfa functions are covered, along with interpretation of the models and some guidance on how to pi
From playlist Structural Equation Modeling
Lecturer: Dr. Erin M. Buchanan Fall 2020 https://www.patreon.com/statisticsofdoom This video is part of my structural equation modeling class - you will learn about SEM terminology, degrees of freedom, specification, and start to see some lavaan output. You can learn more at: https://
From playlist Structural Equation Modeling 2020
R - SEM Terminology Assignment Worked
Lecturer: Dr. Erin M. Buchanan Fall 2020 https://www.patreon.com/statisticsofdoom This video demonstrates how to the work learnSEM "terms" or Terminology assignment that's available as part of my SEM course. You will learn about variable types and how to calculate degrees of freedom for
From playlist Structural Equation Modeling 2020
Covariance (14 of 17) Covariance Matrix "Normalized" - 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 find the “normalized” matrix (or the correlation coefficients) from the covariance matrix from the previous video using 3 sa
From playlist COVARIANCE AND VARIANCE
Neuroscience source separation 2a: Spatial separation
This is part two of a three-part lecture series I taught in a masters-level neuroscience course in fall of 2020 at the Donders Institute (the Netherlands). The lectures were all online in order to minimize the spread of the coronavirus. That's good for you, because now you can watch the en
From playlist Neuroscience source separation (3-part lecture series)