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| Has 0 observation for one category |
 
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| Ali posted on Thursday, January 03, 2019 - 3:11 am
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Hello,
I am running the multigroup SEM analysis. The grouping variable is gender; however, when I was running the multigroup analysis, the output showed that ˇ§CATEGORICAL VARIABLE POSI3 HAS ZERO OBSERVATIONS IN CATEGORY 0.ˇ¨, which means that there is one categorical variable (i.e POS13) had 0 observation in category 0. And this category variable has five categories, but only the category 0 has 0 observation.
Could you please let me know how to fix this problem? Thank you! |
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See page 607 in the UG describing the option
Categorical ... (*). |
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| Ali posted on Friday, January 04, 2019 - 4:38 am
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Thank you!
I added the command lineˇ¨ Categorical posi3(*)ˇ¨ to fix the message ˇ§CATEGORICAL VARIABLE POSI3 HAS ZERO OBSERVATIONS IN CATEGORY 0ˇ¨. However, it showed me that ˇ§*** ERROR in VARIABLE command
For estimators WLS, WLSM, WLSMV and ULSMV, the possible categories for each
categorical variable can only be determined from the data for that variable.
Use estimator ML, MLF, or MLR for the special categorical recoding featuresˇ¨
Here is the code I wrote:
Missing are all (-9999) ;
USEOBSERVATION ARE (sex EQ 1);
USEVARIABLES are
eduy1
equincom1
!sex
agec
migr
agemo
s_voca3
s_synt3
s_morph3
sensi3
posi3
emot3
psa psb
psd psg
psi
prc pre
prf prh
prj
MNeAf
;
Categorical are
psa psb
psd psg
psi
prc pre
prf prh
prj
sensi3
emot3
;
Categorical posi3(*); |
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| Use MLR. |
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| Ali posted on Monday, January 07, 2019 - 2:51 am
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thank you! I added the following line:
Analysis:
ESTIMATOR IS MLR;
But, the model seemed not to be converged.
It showed this message:
“ MAXIMUM LOG-LIKELIHOOD VALUE FOR THE UNRESTRICTED (H1) MODEL IS -24542.278
ONE OR MORE PARAMETERS WERE FIXED TO AVOID SINGULARITY OF THE
INFORMATION MATRIX. THE SINGULARITY IS MOST LIKELY BECAUSE THE
MODEL IS NOT IDENTIFIED, OR BECAUSE OF EMPTY CELLS IN THE JOINT
DISTRIBUTION OF THE CATEGORICAL VARIABLES IN THE MODEL.
THE FOLLOWING PARAMETERS WERE FIXED:
65 69 73 77 81 85 89 93 97 101
58 54 72 92 88 68 100 76 80 64 84 96 “ |
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| Please send your output to Support along with your license number. |
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