Thank you for your reply. I think I was able to write the program to name the parameters, but I'm afraid I can not figure out how to write the model constraint command to get the standard errors for the parameters.
To standardize a regression coefficient with an observed dependent variable and an observed independent variable, multiply the regression coefficient by the standard deviation of x and divide it by the model estimated standard deviation of y.
Note that the formula you give above is not correct. See Example 5.20 for the full formula.
MAH posted on Wednesday, October 01, 2008 - 2:24 pm
I am trying to obtain CI's for a twin analysis of a binary variable. The unstandardized and standarized estimates for A,C, and E are exactly the same and so are the CI's for the standardized and unstandarized estimates. The CI's go below 0 and above 1, suggesting that, for example, genes account for negative proportions of variance or more than 100% of the variance in the trait. This is quite fishy. Can you explain?