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| Crossed random effects with latent ag... |
 
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Dear all,
I am trying to specify a model with two crossed random effects (response are clustered in items and in persons), including a latent aggregation of the response variable.
This is the MPlus Syntax that I want to use:
DATA: File is Mplus_RT.dat;
VARIABLE: Names are
ID item response RT_log;
MISSING ARE ID item response RT_log (-999);
USEVAR ARE
ID item response RT_log;
CLUSTER = ID item;
ANALYSIS: Type is CROSS RANDOM ;
MODEL:
%within%
RT_log on response (b_within);
%between ID%
RT_log on response(b_betwn);
MODEL CONSTRAINT:
new(bflpe);
bflpe = b_betwn - b_within;
OUTPUT: sampstat stand tech1;
However, I get the error that "the following variable cannot exist on more than one level:
RESPONSE"
When I specify only the random effect for ID, but not item, and change type to TWOLEVEL, the model with latent aggregation runs smoothly. Is there any possibility to specify a latent aggregation of the response variable with crossed-random effects?
Thank you very much! |
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Try "turning the x into a y" by mentioning the variance of response on both within and between ID:
response; |
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