R - SEM - Hierarchical Confirmatory Factor Analysis Class Assignment

Показать описание

Recorded: Summer 2015
Lecturer: Dr. Erin M. Buchanan

Packages needed: lavaan, semPlot
Class assignment for structural equation modeling. Topics covered include hierarchical or second order confirmatory factor analysis (CFA), bi-factor models, fit indices, and loadings.

Used in the following courses: Structural Equation Modeling

Рекомендации по теме

Комментарии

Hello Erin, I just wanted to say THANK YOU for sharing your knowledge. I was looking for this model for a month and finally I could undertood it. Best regards.

gonzalomarchant

this was very helpful, thanks! I have a question: in the example in the book (9.1.1), he said "I need constraints for the bi-factor model (lines 4-6). Because the LVs are un-correlated with each other, the Gf, Gsm, and Gs LVs are empirically under identified"

line 4:6
gf =~ a*matrix + a*picture.concepts
gsm =~ b*digit + b*letter
gs =~ c*coding + c*symbol

can you explain what he's doing there? and why you didn't include those parameters in your model specification? thanks!

donnyz

Hey, Erin! I was doing a CFA and the same thing happened to me. The higher-order model had the exact same fit as the correlated model. As in your example, the factors I estimated had high correlations prior to the higher-order model solution. I searched your video specifically looking for an answer to this. Have you worked out what's happening in these cases?

GabrielRodrigues-qgbn

Dr. Buchanan, I was wondering if you have a video that can explain identification issues. I have 6 DSM diagnoses that I want to load onto 2 lower order factors and 1 bifactor but I keep getting issues w/ identification. Thank you so much for sharing your excellent lectures with us!

perpetualconsideration

Hello! What if my bifactor.fit still generate the warning despite the fact of standarization? I've created the two CFA in jamovi to compare first and second model but in R I have the specific warning. Because the model is not good enough? How I can check it? :)

krystianmacheta

This video is very good. Thank you. However I am still not sure how to interpret my models. Interpretation of the indices part was very fast. I didn't get what are your cut offs for index values also didn't get where exactly you look at in summaries.

komakino

It is really helpful, thank you so much. Furthermore, i couldnt get how can built third order cfa in R. Do you suggest any resources? For instance, after second order model, i also want to add one additional layer which depression and anxiety for one factor, stress and other fourth one (imaginary) is for another factor. should i combine first level questions under these third order equations? I am really confused.

nevcihant

Hi, did you posted any video with hierarchical categorical data? I am analyzing interview in likert scale.

sofiaguardado

Hi, what book is being used, please?

julianeventurelli

Hello,
I am analyzing a high order model with only two factors. I cannot run the analysis, because of the number of factor. I was wonderinf if you know which type of constrains are necessary to modify the model?
I will appreciate any information.
Diana Alvarez

dianaalvarez

R - SEM - Hierarchical Confirmatory Factor Analysis Class Assignment

R - SEM - Hierarchical Confirmatory Factor Analysis Class Assignment

Mixed Models, Hierarchical Linear Models, and Multilevel Models: A simple explanation

Multilevel SEM Modeling with xxM - learn R

How to Analyze Higher Order Models in SEM (Structural Equation Modeling)

3. What is a data model? Hierarchical | Network | Relational | Entity-relationship model

Agglomerative Hierarchical Clustering Single link Complete link Clustering by Dr. Mahesh Huddar

CB-SEM Module 6 (Lecture 3): Second-order Factor Models

R - SEM - EFA Class Assignment

Mediation in Structural Equation Modeling (SEM) Using Lavaan for R

R / lavaan: Cluster Robust Standard Errors for Nested Data (SEM, CFA, Path Analysis)

R - Basic Concepts in SEM Class Assignment

R - SEM - Path Analysis Class Assignment 1

R - SEM - Confirmatory Factor Analysis Class Assignment

STRUCTURAL EQUATION MODELING IN R (CB-SEM USING LAVAAN, SEMTOOLS, SEMPLOT)

SEM - Structural Equations Modelling

04. SEMinR Lecture Series | Specifying the Measurement Model | PLS-SEM in R

01. SEMinR Lectures Series: Partial Least Squares Structural Equation Modelling (PLS-SEM) in R

DBMS - Specialization and Generalization

R - SEM - Multigroup CFA Class Assignment 2

Confirmatory Factor Analysis (SEM with lavaan)

SEM Basics 03 - Path Modeling - Multiple Regression pt.1

What is R Square, F Square, and Q Square in PLS-SEM (SmartPLS)

Model comparison and modification in SEM

SEM 1: Multi-group modeling