A problem specific to SEM (and factor-analytic models more generally), is that of negative residual variances. Variances, being squared entities (of a standard deviation), must be positive. Negative variances are known as "Heywood Cases." This webpage
describes what a Heywood Case is and suggests a simple remedy. Additional discussion of Heywood Cases is available
here.
