Facet Models and Negative Residual Va... PreviousNext
Mplus Discussion > Confirmatory Factor Analysis >
 Tanja Gabriele Baudson posted on Tuesday, May 27, 2014 - 10:01 am

I'd like to compute a facet model with two dimensions: form (direct and indirect aggression) and function (reactive and proactive). Each item is assigned to one characteristic on each dimension, such that, e.g., "I threaten people to get what I want" would be both direct and proactive. Here's a syntax of the model:

direct BY agg01 agg02 agg03 agg04;
indirect BY agg05 agg06 agg07 agg08;
react BY agg01 agg03 agg05 agg07;
proact BY agg02 agg04 agg06 agg08;

form BY direct indirect;
function BY react proact;

form WITH function@0;
! not sure if this makes sense
! b/c items belong to both dimensions

Now, one form and one function factor have negative residual variances which are too big to fix to zero. What else could I do (and does the model make sense at all)?

Thanks in advance,
 Bengt O. Muthen posted on Tuesday, May 27, 2014 - 6:02 pm
Analyze each part of the model separately to see where your negative variances come from. So first each first-order factor. You may also do 4-factor EFA to check.
 Tanja Gabriele Baudson posted on Wednesday, May 28, 2014 - 4:31 am
Thanks, Bengt. I'll try that.

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