yin fu posted on Wednesday, September 28, 2011 - 3:16 am
I have a 2-level model with 3 categorical variables on level 2. In order to differentiate their effects, I used effect coding like this d1 d2 x1 1 0 x2 0 1 x3 -1 -1
Mplus then gives out the extimate and standard error for x1 and x2 (difference compared to a global mean). I am able to calculate the the estimate for x3 myself, but how can I come up with the standard error?
Hi, As you suggested in a previous post about the dummy variables (January 31, 2010), I used the following dummy variable coding for my 3-category ethnicity variable (initially coded "1" for White = comparison group, "2" for Black, and "3" for Hispanic) In the define command, I wrote: DEFINE: Black=0; IF (Ethnicity == 2) then Black=1; Hispanic=0; IF (Ethnicity == 3) then Hispanic=1; It worked.
Now, I wish to do the same thing by using an effect coding such as: C1 C2 White 1 1 Black -1 0 Hispanic 0 -1
But I fail to write the correct syntax to implement it. Do I need to use the DEFINE command? The MODEL CONSTRAINT command? If so, in what way?
Could you please give me an example of syntax to do this?