Introducing New Features in LISREL 10

The LISREL10 program has a number of new statistical features. Structural equation modeling (SEM) was introduced initially as a way of analyzing a covariance or correlation matrix. Typically, one would read this matrix into LISREL and estimate the model by maximum likelihood. If raw data was available without missing values, one could also use PRELIS first to estimate an asymptotic covariance matrix to obtain robust estimates of standard errors and chi-squares. Modern structural equation modeling is based on raw data. … Read More