Structural Equations with Latent Variables

R - Structural Equation Model Basics Lecture 1

Lecturer: Dr. Erin M. Buchanan Missouri State University Summer 2016 This lecture covers the basic terminology for structural equation modeling including: identification, scaling, variable types, manifest/latent variables, path coefficient types, endogenous/exogenous variables, degrees o

From playlist Structural Equation Modeling

R - Latent Growth (Curve) Example

Lecturer: Dr. Erin M. Buchanan Missouri State University Summer 2016 This video covers an example of how to perform a latent growth model with steps over intercepts, random intercepts, random slopes, slopes, covariance, and residuals. Lavaan and the growth() functions are used. Lecture

From playlist Structural Equation Modeling

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 - Full Structural Equation Model Class Assignment

Recorded: Summer 2015 Lecturer: Dr. Erin M. Buchanan Packages needed: lavaan, semPlot Class assignment for structural equation modeling. Topic covers how program a full structural equation model (CFA + Structural Components), fit indices, and interpretation. Lecture materials and assignm

From playlist Structural Equation Modeling

Latent Growth Curve Modeling | Part 2 | Structural Equation Modeling

In the second installment of this video series, I will discuss the essential concepts in Growth Curve Modeling within the Structural Equation Modeling framework.

From playlist Growth Curve Models

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 - Latent Growth Models Lecture

Lecturer: Dr. Erin M. Buchanan Missouri State University Summer 2016 This video is a lecture that covers latent growth (curve) modeling - including the steps for random intercepts and slopes taken from the Beaujean SEM lavaan book. Lecture materials and assignment available at statistic

From playlist Structural Equation Modeling

R - Full Structural Equation Models Lecture

Lecturer: Dr. Erin M. Buchanan Missouri State University Summer 2016 This lecture covers how to program reflexive and formative indicators in lavaan, their interpretation, and how to use them. We talk about how to convert from a measurement model only to a full structural model. Lectur

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

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 - Full Structural Equation Models Lecture

Lecturer: Dr. Erin M. Buchanan Spring 2021 https://www.patreon.com/statisticsofdoom This video covers the third round of confirmatory factor analysis or measurement models. In this last section, you will learn how to create a fully latent or full structural equation model. You can lear

From playlist Structural Equation Modeling 2020

R - Structural Equation Model Basics Lecture 2

Lecturer: Dr. Erin M. Buchanan Missouri State University Summer 2016 This lecture covers the basic terminology for structural equation modeling including: identification, scaling, variable types, manifest/latent variables, path coefficient types, endogenous/exogenous variables, degrees o

From playlist Structural Equation Modeling

Confirmatory factor analysis in AMOS | Part 1

In this video, I demonstrate how to use AMOS for confirmatory factor analysis (CFA). For a discussion on normality analysis, please see the following videos: #1: https://www.youtube.com/watch?v=1gSyZ_DPQRQ #2: https://www.youtube.com/watch?v=uCjOoEKQJvo AMOS (trial version) can be downlo

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

R - Terminology Lecture

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 - 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

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