1. Structural Equation Models with Directly Observed Variables II James G. Anderson, Ph.D. Purdue University

2. Identification Over Identified Just Identified Under Identified

9. Covariances Among observed variables Among exogenous variables Among measurement errors Among errors in the equations

10. Covariances among Observed Variables rowtypevarnameperformknowlvaluesattrain n98 covperform0.022 covknowl0.0170.053 covvalue0.0240.0280.121 covsat train0.004 -0.0060.09 covtrain0.018 0.035-0.0060.094 mean0.0581.3792.8772.4612.117

11. Covariances among Exogenous Variables

12. Covariances among Measurement Errors

13. Covariances among the Errors in the Equations

14. Class Exercise Create a new model: – From the menu choose File/New Specify the Data file: – Choose File/Data Files –Browse to the tutorial folder. The path is: C:\Program Files\Amos 6\Examples In the Files of type list select SPSS Select Fels_mal.sav Estimate the Parameters of the different models and compare their fit statistics