intro to path analysis and linear regression

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basic intro to better understand regression and path analysis.
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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?

ebnouseyid
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Thank you! That was very easy to understand

strivetolearn
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Can you tell me about the version of SPSS in this video? I would be thankful

ziazadian
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Hello, why is the positive relationship between age and disease in the model not .227 (as per the table readout)?

maximilliontin
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7:29 may I ask if a low tolerance between variables that are measuring the same construct equals a high convergent validity? sorry I'm not good at either english or statistics

WillowSpector
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many thanks. Helped me a lot. But still feel confused about my model LOL. have done EFA and CFA, and want to do path analysis. Feel confused when there are factors, variables and items in each factor.

chenchen
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prof what is the open software named that is similar to ms office?

sayanisikdar