Hello,
I am attempting to use AMOS to run a number of structural equation models. Several of my manifest variables are ordered categorical, a few (intended to be exogenous) are even binary. Unfortunately I only have access to secondary summary data (i.e. a covariance matrix with means and SD). I can run the models "normally" without identifying the data as ordered categorical though I don't believe it's acceptable to do so. I am attempting to allow non-numeric data and re-code as ordered categorical so that might use Bayesian estimation. Does anyone with experience using matrix input only without raw data have any thoughts on this? I'm not sure that it is even conceptually sound but am unsure how to proceed. Any help would be greatly appreciated!!
I am attempting to use AMOS to run a number of structural equation models. Several of my manifest variables are ordered categorical, a few (intended to be exogenous) are even binary. Unfortunately I only have access to secondary summary data (i.e. a covariance matrix with means and SD). I can run the models "normally" without identifying the data as ordered categorical though I don't believe it's acceptable to do so. I am attempting to allow non-numeric data and re-code as ordered categorical so that might use Bayesian estimation. Does anyone with experience using matrix input only without raw data have any thoughts on this? I'm not sure that it is even conceptually sound but am unsure how to proceed. Any help would be greatly appreciated!!