Sami Mo The default in many SEM programs is that latent variables are mean centered. In other words, the means of the latent variables are assumed to be zero by default in many programs. This is because latent means are arbitrary in many situations and/or directly linked to observed variable means. Although I'm not an AMOS user, I suspect that this is probably true in AMOS as well (to be sure, you could check the AMOS user's manual--I'm pretty sure there must be a description of the default mean structure settings in that document). This is why you do not get a latent intercept through the default settings.

There are ways though to identify the latent variable mean and intercept structure in cases where this is useful. For example, you can select one indicator per factor as reference indicator for which the loading is fixed to 1 and the observed variable intercept is fixed to zero. Then, the latent means and intercepts can be identified and estimated and would be provided in the output. (You would have to specifically request the estimation of these parameters though as they aren't given by default.)

Also, in the completely standardized solution, there would not be intercepts in any case because standardized variables are in deviation form (i.e., have means of zero) by definition of the z standardization process.

Error variance estimates are typically not added to equations (error variables are variables, not constants) but the error variances are sometimes depicted in path diagrams.