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 Daisy Chang posted on Tuesday, November 08, 2005 - 10:21 am
Hi,

I am trying to do a second order factor model, but I constantly receiving an error message saying that THE STANDARD ERRORS OF THE MODEL PARAMETER ESTIMATES COULD NOT BE COMPUTED. THE MODEL MAY NOT BE IDENTIFIED. CHECK YOUR MODEL.
PROBLEM INVOLVING PARAMETER 10.

I have tried different ways including changing the starting value and fixing the loading of bpress to be 1, but none of it worked. I would really appreicate your input. Thanks. Here is my program.
title: project
data: file is u:\bio.dat;
variable: names are HDL_CHO HB_A1C DHEA_S CORTIS1 NOREPI1 EPINEP1
BP_S BP_D WAISTHIP TOTHDL age control edu;
usevariables are lncor lnnor lntot sqep sbp_s sbp_d lnhb sqdh sqep ;
missing are all (9999);
define: lncor= log(cortis1) if cortis1 > 0 then lncor = log(cortis1);
lntot= log(tothdl) if tothdl > 0 then lntot= log(tothdl);
lnnor= log(norepi1) if norepi1 > 0 then lnnor = log(norepi1);
lnhb = log(hb_a1c) if hb_a1c > 0 then lnhb = log(hb_a1c);
sqep = sqrt(epinep1) if epinep1 >=0 then sqep = sqrt(epinep1);
sqdh = sqrt(dhea_s) if dhea_s >= 0 then sqdh = sqrt(dhea_s);
sbp_s = (bp_s)/50 if bp_s > 0 then sbp_s = (bp_s)/50;
sbp_d = (bp_d)/50 if bp_d > 0 then sbp_d = (bp_d)/50;

analysis: type = missing h1;
convergence=1000;


model:bpress by sbp_s sbp_d;
hpa by sqdh lncor;
metabo by lnhb lntot waisthip;
nerv by sqep lnnor;
age by hpa* bpress metabo nerv;
age@1;
 Linda K. Muthen posted on Saturday, November 12, 2005 - 5:53 pm
You would need to send your input, data, output, and license number to support@statmodel.com to get an answer to this question.
 Maren Winkler posted on Monday, August 10, 2009 - 12:22 am
Hi,

we are establishing a 2nd order model. We've done CFA for seven tests separately and now try to model them in one SEM.
The structure is as follows:

f1 BY x1 x2 x3;
f2 BY y1 y2 y3;
...
f7 BY z1 z2 z3;

g BY f1 f2 ...f7;

The model fits our data well. However, loadings of all items from the last test on its latent factor are negative (all z are negative). Hence, f7 loads negatively on the second order factor g when all other loadings (f1 to f6)are positive.
What could be the reason for this result? Does it have implications for further analyses?
Thank you very much for your help.
 Linda K. Muthen posted on Monday, August 10, 2009 - 6:42 am
If all are negative, they can all be changed to positive. I would try positive starting values.
 Sarah-Geneviève Trépanier posted on Tuesday, January 24, 2012 - 4:56 pm
Hi,

I am new to Mplus (and SEM in general) and I was wondering if it is possible to integrate second-order factors in a SEM:

FOR EXAMPLE:

variables v1 v2 v3 v4 v5 v6 v7 v8 v9 v10 v11 v12 v13 v14 v15 v16 v17 v18 v19 v20;

f1 by v1 v2 v3;
f2 by v4 v5 v6;
f3 by v7 v8 v9;
f4 by v10 v11;
f5 by v12 v13 v14;
f6 by v15 v16 17;
f7 by v18 v19 v20;

f8 by f1* f2 f3;
f8 @1;

f9 by f4* f5 f6;
f9 @1;

F9 on F8;
F8 on F6 F7;

Thank you very much for your help!

Sarah
 Linda K. Muthen posted on Tuesday, January 24, 2012 - 5:53 pm
Yes. See Example 5.6 in the user's guide.
 Sarah-Geneviève Trépanier posted on Tuesday, January 24, 2012 - 6:47 pm
Hi again,

I am sorry to bother you again. I just want to make sure my question was clear. As you suggested, I looked at chapiter 5 in the user's guide. It has a section on CFA (including second order factors: 5.6) and a section regarding SEM (structural paths). I do not see anything that combines both second-factor AND structural models like the syntax I gave in example in the previous post.

Sorry and thank you again.

Sarah
 Linda K. Muthen posted on Wednesday, January 25, 2012 - 6:39 am
You can combine them. Run the analysis. If you have a problem, send it along with your license number to support@statmodel.com.
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