Graphical models | Structural equation models | Independence (probability theory)
In statistics, path analysis is used to describe the directed dependencies among a set of variables. This includes models equivalent to any form of multiple regression analysis, factor analysis, canonical correlation analysis, discriminant analysis, as well as more general families of models in the multivariate analysis of variance and covariance analyses (MANOVA, ANOVA, ANCOVA). In addition to being thought of as a form of multiple regression focusing on causality, path analysis can be viewed as a special case of structural equation modeling (SEM) – one in which only single indicators are employed for each of the variables in the causal model. That is, path analysis is SEM with a structural model, but no measurement model. Other terms used to refer to path analysis include causal modeling and analysis of covariance structures. Path analysis is considered by Judea Pearl to be a direct ancestor to the techniques of Causal inference. (Wikipedia).
Statistics Lecture 3.3: Finding the Standard Deviation of a Data Set
https://www.patreon.com/ProfessorLeonard Statistics Lecture 3.3: Finding the Standard Deviation of a Data Set
From playlist Statistics (Full Length Videos)
Statistics 5_1 Confidence Intervals
In this lecture explain the meaning of a confidence interval and look at the equation to calculate it.
From playlist Medical Statistics
Statistics Lecture 5.2: A Study of Probability Distributions, Mean, and Standard Deviation
https://www.patreon.com/ProfessorLeonard Statistics Lecture 5.2: A Study of Probability Distributions, Mean, and Standard Deviation
From playlist Statistics (Full Length Videos)
Linear regression is used to compare sets or pairs of numerical data points. We use it to find a correlation between variables.
From playlist Learning medical statistics with python and Jupyter notebooks
This lecturelet will introduce you to the series on statistical analyses of time-frequency data. For more online courses about programming, data analysis, linear algebra, and statistics, see http://sincxpress.com/
From playlist OLD ANTS #8) Statistics
This video explains how to determine mean, median and mode. It also provided examples. http://mathispower4u.yolasite.com/
From playlist Statistics: Describing Data
In this video I show you how to conduct a t-test, analysis of variance, and linear regression in SPSS.
From playlist Healthcare statistics with SPSS
09b Data Analytics: Linear Regression
A practical lecture on linear regression and how to do it in Excel and R.
From playlist Data Analytics and Geostatistics
Statistics Lecture 7.2: Finding Confidence Intervals for the Population Proportion
https://www.patreon.com/ProfessorLeonard Statistics Lecture 7.2: Finding Confidence Intervals for the Population Proportion
From playlist Statistics (Full Length Videos)
Statistical Rethinking 2023 - 06 - Good & Bad Controls
Course details: https://github.com/rmcelreath/stat_rethinking_2023 Intro music: https://www.youtube.com/watch?v=PDohhCaNf98 Outline 00:00 Introduction 01:43 Causal implications 14:28 do-calculus 16:59 Backdoor criterion 40:48 Pause 41:22 Good and bad controls 1:09:34 Summary 1:26:27 Bonu
From playlist Statistical Rethinking 2023
JASP/Excel - Mediation Analyses Example
Lecturer: Dr. Erin M. Buchanan Missouri State University Spring 2017 This video covers how to: 1) Power analyses for mediation in G*Power 2) Run data screening in Excel and JASP for regression 3) Baron and Kenny steps for mediation 4) APA style reports Lecture materials and assignment a
From playlist Learn and Use G*Power
Statistical Rethinking 2022 Lecture 06 - Good & Bad Controls
Slides and other course materials: https://github.com/rmcelreath/stat_rethinking_2022 Intro video: https://www.youtube.com/watch?v=6erBpdV-fi0 Intro music: https://www.youtube.com/watch?v=Pc0AhpjbV58 Chapters: 00:00 Introduction 01:23 Parent collider 08:13 DAG thinking 27:48 Backdoor cri
From playlist Statistical Rethinking 2022
Confirmatory factor analysis in AMOS | Part 2
In this video (Part 2), I demonstrate how to use AMOS for confirmatory factor analysis (CFA). If you have not watched part 1 of this video, please use this link: https://www.youtube.com/watch?v=HKs9vIkpIXE For a discussion on normality analysis, please see the following videos: #1: http
From playlist Structural Equation Modeling
How to do Multigroup Structural Equation Modeling using AMOS?
In this video, I will demonstrate how to do Multigroup Structural Equation Modeling using AMOS. As SEM is based on confirmatory factor analysis (CFA), I would suggest you watch the following videos: Video1: https://www.youtube.com/watch?v=HKs9vIkpIXE&list=PLTjlULGD9bNLPjpFqDlVMFu0GyNX7_I
From playlist Structural Equation Modeling
Structural equation modeling in free software JASP
In this video, I will demonstrate how to do structural equation modeling in free software JASP. Useful links: JASP: https://jasp-stats.org/ Source 1: https://lavaan.ugent.be/tutorial/sem.html Source 2: https://www.routledge.com/Quantitative-Data-Analysis-for-Language-Assessment-Volume-II-
From playlist Structural Equation Modeling
Dr Lukasz Szpruch, University of Edinburgh
Bio I am a Lecturer at the School of Mathematics, University of Edinburgh. Before moving to Scotland I was a Nomura Junior Research Fellow at the Institute of Mathematics, University of Oxford, and a member of Oxford-Man Institute for Quantitative Finance. I hold a Ph.D. in mathematics fr
From playlist Short Talks
On the numerical integration of the Lorenz-96 model... - Grudzien - Workshop 2 - CEB T3 2019
Grudzien (U Nevada in Reno, USA) / 13.11.2019 On the numerical integration of the Lorenz-96 model, with scalar additive noise, for benchmark twin experiments ---------------------------------- Vous pouvez nous rejoindre sur les réseaux sociaux pour suivre nos actualités. Facebook
From playlist 2019 - T3 - The Mathematics of Climate and the Environment
Statistical Rethinking - Lecture 01
The Golem of Prague / Small World and Large Worlds: Chapters 1 and 2 of 'Statistical Rethinking: A Bayesian Course with R Examples'.
From playlist Statistical Rethinking Winter 2015
Determine the Mean, Median, Mode, and Range of a Data Set
This video explains how to determine the mean, median, mode, and range of a data set. The result is check on the TI-84. http://mathispower4u.com
From playlist Statistics: Describing Data
Statistical Rethinking Winter 2019 Lecture 01
Lecture 01 of the Dec 2018 through March 2019 edition of Statistical Rethinking: A Bayesian Course with R and Stan.
From playlist Statistical Rethinking Winter 2019