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Prof. Muthen I have the following model Y on X1, z1, z2, z2; z1 on X2; z2 on X3; z3 on X4; We are proposing an alternate to this model in the following way Y1 on X1, eta; eta by z1, z2, z3; eta on X5; X’s are vector and have enough unique elements. Y is binary, Z’s are ordered (3 categories) categorical. However, I actually am modeling Y* and z*s rather than Y and z’s and hence I am using your WLSMV estimator (based on your articles appeared in Journal of Econometrics, ‘83 and Psychometrika, ’84, ’87, ’95 and ‘97) I need to calculate Y* at the mean values of its explanatory variables. I am using MPlus 4.1 and my questions to you are; could you kindly suggest me  Q1. how can I calculate predicted value for z*’s which I can later plug in Y* equation. I am NOT interested in, for example, Pr(z1=1) or pr(z1=2) or Pr(z1=3) and so on Q2. how can I calculate predicted mean value for “eta”? Should it not be zero, I mean the mean value of “eta”? Thanks and regards 


Prof. Muthen, In the context of the above question, should I consider the two thresholds associated with each Z's to estimate the respective predicted Z*s. The Z's and the respective Z*s are related through ordered probit. Thanks and regards 

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