Hi Mike!! I am new viewer of your lecture videos. I used to get SPSS documents for certain videos. Can I get the same for this video. It was not available wight now. I always appreciate your endeavors to equipe us with priceless knowledge in research areas.
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?
Thanks for such a nice explanation. Two questions: 1. Is the process of model identification of structural model with latent variables same as described above? 2. If we have an over-identified model, then can we report that we do not need instrumental variables for our endogenous variable(s)?
Thank you for a very clear explanation of Model Identification!
Hi David, thanks for your feedback and for visiting! Cheers!
amazing explanation, I was struggling a lot!
very well explained. Thank you !
Hi Mike!! I am new viewer of your lecture videos. I used to get SPSS documents for certain videos. Can I get the same for this video. It was not available wight now. I always appreciate your endeavors to equipe us with priceless knowledge in research areas.
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?
Thanks for such a nice explanation. Two questions: 1. Is the process of model identification of structural model with latent variables same as described above? 2. If we have an over-identified model, then can we report that we do not need instrumental variables for our endogenous variable(s)?