It seems that there is no handy statistical package to estimate the path model with the discrete dependent variable. I examined a path model in such case and compared it with the binary logisitic model. The results are very similar.

Chia-hung
※ 引述《">Shanna Pearson-Merkowitz" <[log in to unmask]>》之郵件內容：
>I am working on a paper in which the fundamental argument can only
>really be expressed through a path model.  Unfortunately, one of my
>endogenous
>variables is dichotomous.  While the ultimate dependent variable is
>interval, I know that having a non-linear dependent variable in a path
>model is less than ideal.  (I am using Amos which uses FIML and while
>not
>OLS, FIML still assumes a linear relationship.)  Does anyone know of a
>way
>of taking care of the likely non-linearity that comes with a
>dichotomous
>dependent variable? If not, does anyone have any suggestions about what
>is the best thing
>to do (for example, should I just give up or should I just estimate it
>as a linear model and
>acknowledge the problems?)?
>
>I greatly appreciate any and all suggestions.  Thanks so much.
>
>Shanna Peason-Merkowitz
>University of Maryland
>Department of Government and Politics
>
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