If the error variance is not big (i.e., not too far from zero), this problem could be solved by reestimating the model through constraining the error variances to zero or a small positive number. You can place equality constraints on certain parameters known to yield estimates that are aproximately equal, through the application of the critical ratio difference (CRDIFF) method in AMOS.