# Recent content by Berndherold12

1. ### structural equation modeling covariance calculate

No i just have access to the path diagram.
2. ### structural equation modeling covariance calculate

Maybe one Information is missing : The sample size was very small: n = 20. I don't know if we need the sample size.
3. ### structural equation modeling covariance calculate

The ξ is exogenous and the η is endogenous ? But i'm still not sure how i can relate this to the formula. Is the covariance just 0,36 in this example, because ß1 is 0,36 and the variance is 1 ?
4. ### structural equation modeling covariance calculate

Thank you! The exogenous/independet is X and the endogenous/dependent is Y.
5. ### structural equation modeling covariance calculate

l1 l2 l3 are exogenous and l4 l5 l6 are endogenous so β1 is maybe l4 l5 or l6 ?
6. ### structural equation modeling covariance calculate

The exogenous variables are the independent variables (x1, x2 ..) and the endogenous variables are the two latent variables. Maybe the g1 is our β1 because we want the covariance between the two latent variables?
7. ### structural equation modeling covariance calculate

I'm not so sure. σ 2 X = should be the variance and the variance is 1 β 1= is a regressions weight and it could be one of them: l1, l2, l3, l4, l5, l6 and the cov(X,Y) is the covariance between the two latent variables ?
8. ### structural equation modeling covariance calculate

Do you have an idea how the equation could look like ?
9. ### structural equation modeling covariance calculate

Xi does not mean x1, x2 or x3. XI is the 14th letter of the Greek alphabet and in the picture above its the "ξ". In Addition to this in the model The residual variance of Eta(η) is chosen so that the total variance of Eta is 1. The l1, l2, l 3 and so on you can see the regression weights.
10. ### structural equation modeling covariance calculate

Just the basics
11. ### structural equation modeling covariance calculate

Hey all, i don't know how to calculate the covariance between Xi and ETA(n) with the 6 factor loadings and gamma in the middle of the picture. The Variance of the latent variables is 1, so it is the fully standardised solution.. Furthermore i want to calculate the covariance between x2 and y2...