You do not have permission to delete messages in this group
Link
Report message as abuse
Sign in to report message as abuse
Show original message
Either email addresses are anonymous for this group or you need the view member email addresses permission to view the original message
to lavaan
Hi,
I am using lavaan for a CFA that has a mix of binary, ordinal, and continuous endogenous variables, as well as multiple continuous (age, etc) and one binary (sex) exogenous variable. I would like to use the option conditional.x=TRUE in order to partial out the effects of the exogenous covariates prior to modelling the factors, but I want to verify that the residuals will still be modelled correctly for the ordered variables if they are conditioned first on the exogenous variables. Could you please let me know how they are modelled in this case?
Thanks,
Caitlin
Terrence Jorgensen
unread,
Feb 28, 2019, 10:14:06 PM2/28/19
Reply to author
Sign in to reply to author
Forward
Sign in to forward
Delete
You do not have permission to delete messages in this group
Link
Report message as abuse
Sign in to report message as abuse
Show original message
Either email addresses are anonymous for this group or you need the view member email addresses permission to view the original message
to lavaan
I want to verify that the residuals will still be modelled correctly for the ordered variables if they are conditioned first on the exogenous variables.
what do you mean by "correctly"?
Could you please let me know how they are modelled in this case?
The estimated residual polychoric correlation matrix is used in place of the estimated zero-order polychoric correlation matrix, which itself is already used in place of the "observed" covariance matrix (for continuous data) typically denoted as "S" in the discrepancy function depicted in SEM textbooks.
Terrence D. Jorgensen
Assistant Professor, Methods and Statistics
Research Institute for Child Development and Education, the University of Amsterdam