Contents
Are latent variables endogenous?
Variables that are influenced by other variables in a model are called endogenous variables. A variable that is not directly measured is a latent variable. The “factors” in a factor analysis are latent variables.
Can exogenous variables be correlated?
The exogenous variables are known to be correlated (e.g. race, income, education, age). From the Mplus output, it appears that the model does not automatically estimate the correlations among exogenous variables. How should I approach the correlation of these exogenous variables?
Can a latent variable be exogenous?
Exogenous latent variables (or) Independent variables ✓ They cause fluctuations in the values of other latent variables in the model.
Can endogenous variables be correlated?
Endogenous variables are dependent variables, meaning they correlate with other factors—although it can be a positive or negative correlation. Endogenous variables are important in economic modeling because they show whether a variable causes a particular effect.
Can endogenous variables Covary?
SEM does not allow any endogenous variable to directly covary with any other variable, only regression paths and covariances between their associated error variables are allowed.
Can a latent variable covary with an exogenous variable?
If so, the latent variables are still exogenous due to not being ” caused ” by anything (I say “caused” because you cannot make causal inferences from cross-sectional data). Exogenous variables can covary with other exogenous variables (see Table 3).
Endogenous latent variables Endogenous latent variables (or) Dependent variables ✓ Endogenous variables are influenced by the exogenous variables in the model, either directly or indirectly.
Can a SEM covariance be an endogenous variable?
This crossed my mind when I was reading this stata forum post, at which it is written: SEM does not allow any endogenous variable to directly covary with any other variable, only regression paths and covariances between their associated error variables are allowed.
Can a regression path covariance with an endogenous variable?
SEM does not allow any endogenous variable to directly covary with any other variable, only regression paths and covariances between their associated error variables are allowed. I get that the reason must have something to do with the fact that the exogenous variables don’t have their causes specified, whereas endogenous variables do.