Exogenous categorical variables in pa... PreviousNext
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 seungjin lee posted on Sunday, April 10, 2016 - 1:12 pm
How to set up the syntax for the model (path analysis) which has both Exogenous categorical variable and Exogenous continuous variables in path analysis for continuous outcome variable (endogenous variable?

There are two types of Exogenous categorical variable: Binary and nominal (1= BA 2= MA C=PHD 4=OTHER)
 Linda K. Muthen posted on Sunday, April 10, 2016 - 4:49 pm
The model is estimated conditioned on the observed exogenous variables in regression and path analysis. They can be binary or continuous. In both cases, they are treated as continuous. You should create a set of dummy variables for the nominal variable.
 seungjin lee posted on Sunday, April 10, 2016 - 6:20 pm
Hello Dr, Muhen,

You mean the way to build syntax is not different between continuous and continuous exogenous variable. For example,

MODEL=NOMEANSTRUCTURE;
INFORMATION=EXPECTED;
model:
model:
y3 on x1 x2 y1 y2;
y1 on x1 x2;
y2 on x1 x2;

This is normal way to build syntax in a path model. In other words, regardless of the type of scale of exogenous variables (binary or continuous), the way to write syntax is not changed...

Am I on the track?

Thanks
 seungjin lee posted on Sunday, April 10, 2016 - 9:15 pm
How to interpret the covariance/correlation between two binary exogenous variables in a path analysis?

Is this a pearson correlation?
 Linda K. Muthen posted on Monday, April 11, 2016 - 10:11 am
Yes, you don't distinguish between exogenous variables due to their scale.

A Pearson correlation.
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