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 Yi-fu posted on Thursday, March 02, 2006 - 10:13 pm
Hi, Dr. Muthen,

I know this may be covered in other discussion topic, but I can't find it right a way. So, please forgive me to ask it again.
I have a second-order factor model with two latent variables loaded on a second-order factor. One latent variable contains three indicators and the other has 5 indicators. When I tried to run this model, the standard error of one of the latent loadings (related to second-order factor) is ****** in the printout. Could I know what this mean? There was no error message in my printout.

Thanks
 bmuthen posted on Friday, March 03, 2006 - 6:32 am
*** means huge numbers. For SEs, this happens when the model is not identified. Your model is not identified because it takes at least 3 first-order factors to identify a second-order factor model.
 yang posted on Monday, March 06, 2006 - 12:23 pm
Dear Drs Muthen,

I am trying to do a CFA to a 5 first-order factors model by using data observed on 188 objects, and there are 12 indicators in total for these 5 factors. But I cannot get the model indices (CFI/TLI, RMSEA, etc).

M-plus returns the following information:

THE MODEL ESTIMATION TERMINATED NORMALLY
THE STANDARD ERRORS OF THE MODEL PARAMETER ESTIMATES COULD NOT BE COMPUTED. THE MODEL MAY NOT BE IDENTIFIED. CHECK YOUR MODEL.
PROBLEM INVOLVING PARAMETER 46.

What does this mean? How to solve this problem? Thank you very much.



p.s. Here are the codes I am using

TITLE: RBANS_CFA on full Data Set
DATA: FILE IS "1.dat";
VARIABLE: NAMES ARE
LISTIMM STORYIMM FIGCOPY LINE NAMING FLUENCY
DIGSPAN CODING LISTREC RECOG STORYREC FIGREC;
missing are *;
USEVARIABLES ARE
LISTIMM STORYIMM FIGCOPY LINE NAMING FLUENCY
DIGSPAN CODING LISTREC RECOG STORYREC FIGREC;
MODEL: IM BY LISTIMM* STORYIMM;
VC BY FIGCOPY* LINE;
La BY NAMING* FLUENCY;
Att BY DIGSPAN* CODING;
DM BY LISTREC* RECOG STORYREC FIGREC;
IM@1 VC@1 La@1 Att@1 DM@1;
ANALYSIS: TYPE = MISSING H1;
OUTPUT: standardized ;
 Linda K. Muthen posted on Monday, March 06, 2006 - 1:16 pm
You can ask for TECH1 and see what parameter 46 is to see if that helps you identify the problem. If not, please send your input, data, output, and license number to support@statmodel.com.
 JMC posted on Monday, July 01, 2013 - 9:39 am
I am getting this error message THE STANDARD ERRORS OF THE MODEL PARAMETER ESTIMATES COULD NOT BE COMPUTED. THE MODEL MAY NOT BE IDENTIFIED. CHECK YOUR MODEL. PROBLEM INVOLVING PARAMETER 25.

I am not sure how to examine parameter 25 and how to fix this.

TITLE: MEASUREMENT MODEL
DATA: File is C:\Users\Jenna Red\Desktop\i2.txt;

VARIABLE:
NAMES
(list ommitted to shorten message)

USEVAR
(list ommitted to shorten message)

ANALYSIS:
ESTIMATOR = ML;
ITERATIONS = 10000;

MODEL:
SEFF BY
SE1-SE7; (list ommitted to shorten message)

SV BY
SV1-SV7;

AEFF BY
AE1-AE7;

AV BY
AV1-AV7;

JEFF BY
JE1-JE7;

JV BY
JV1-JV7;

i1 s1 q1 | SV@0 AV@1 JV@2;
i2 s2 q2 | SEFF@0 AEFF@1 JEFF@2;

i1 s1 q1 ON eth gender farms;
i2 s2 q2 ON eth gender farms;

s1 ON i2;
s2 ON i1;
q2 ON s1;
q1 ON s2;

OUTPUT:
SAMP STAND RES MODINDICES (ALL)SAMPSTAT MODINDICES (0) STANDARDIZED
RESIDUAL TECH1 TECH2 TECH3 TECH4
TECH5 CINTERVAL;
 Linda K. Muthen posted on Monday, July 01, 2013 - 11:18 am
Please send the output and your license number to support@statmodel.com.
 JMC posted on Tuesday, July 02, 2013 - 4:59 am
Okay, thank you!
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