Hi!

I constructed a model where most of the variables are linearly related to
each other. However, the dependent variable is dichotomous, which means I
should not try to fit a linear relationship between the other variables,
which are continuos, and this variable. I'm wondering how I would have to
go about addressing this issue in sem?

Additionally, this post is relevant to my question:
http://r.789695.n4.nabble.com/Link-functions-in-SEM-td859182.html . The way
I understood this post is that I should use hetcor to compute the
correlations between the variables and then feed these correlations into
sem. While the partial regression coefficients of the continuos variables
associated with the dichotomous variable did change, so did the partial
regression coefficients of all of my other relationships, which should not
be the case. In addition, I am not sure how I should interpret the partial
regression coefficients of the association between the continuos and
dichotomous variable, i.e., do they represent odds?

Thank you in advance.

Best,
~Kino

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