SEM (1): What is Structural Equation Modelling and when to use it?
HTML-код
- Опубликовано: 22 авг 2024
- Structural Equation Modelling
This video explains the concept of Structural Equation Modeling, its prerequisites and its usefulness.
.
#SEM #StructuralEquationModelling #ResearchHUB
.
→Download datasets/codes: researchhub.or...
→SEM Course: researchhub.or...
→SEM in R playlist: • Structural Equation Mo...
→PLS-SEM playlist: • PLS-SEM using SmartPLS
.
Published papers using SEM:
→ The paper shown in videos: www.sciencedir...
→ SEM and multi-group CFA: www.sciencedir...
→ Multi-group SEM using pooled secondary data: link.springer....
.
Join the ResearchHUB Community:
FB Page: / research.hub.org
FB Group: / research.hub.org
Instagram: / research.hub
Website: researchhub.org
Courses: course.researc...
.
Follow the RHUB Founder:
ResearchGate: www.researchga...
LinkedIn: / ziaulmunim
Twitter: / zhmunim
Website: www.ziaulmunim...
Very well explained, I was struggling with the underlying reason why I am using SEM for my study.
In physical science there is no uncertainty? The uncertainty in the mass of the neutrino is greater than the mass of the neutrino.
Wait .. what
@@raidiations1143 The mass of the neutrino is extremely difficult to measure precisely.
Thanks for sharing SEM video. I can’t wait to see more videos on SEM as i trying to learn SEM
Thanks! Yes, more coming everyday for the next 1 week!
The best of the session is clear language and explanation.. Thank you..
Thank you for this video series, without it I would have had no understanding of what I was doing, now I have a good fit model and can explain how it's estimated as well as discuss the results. Could you perhaps make a video where you show a Piecewise SEM model in R? I think I understand it conceptually, but struggle getting it to work in R
Thanks for the feedback! Sure, will do some videos on piecewise SEM sometime soon!
Great video!
Also love to know you're a Norwegian! I've a special-adorable feelings for Norwegians.💖 🌼
Thank you, dear professor, super video
I have a question :
why estimate the variance of endogenous variables?
Because the objective of a path analysis model is the estimates of three types of parameters: The paths, The covariances between the exogenous variables, and the variances of the exogenous variables. To determine the direct, indirect, and total effects between the variables.
To avoid the Heywood cases, it is better to fix the variance of the endogenous variable to its empirical variance.
And thus the parameters (Psi) variance of disturbance is constrained parameters not free?
SEM takes from psychology measurement theory which one (classic or modern theory)?
Thank you Professor.Could you tell me how to get the variance of all residuals in a SEM model by lavaan
can i have the ppts?