Dear Stat Technicians..
Greetings to you all...
I am working LISREL 8.72 for the Structural Equation model and Factor Analysis. I have 10 Factors under the heading of Conflict Management. I have done the pilot study and collected around 100 Samples. If I go with the SPSS it says that the Alpha Value ( Reliability = 0.92 ) .
Once I started to use the LISREL through SIMPLEX command , (F8) , I have problem that its not working properly and says that the " Model Does not Converge"
I have the output Attached and it gives me error that I couldn't Understand.
Kindly I request the experts to help me to provide the solutions that helps me to understand the LISREL more..
I have attached the Output and please go through for your kind reference.
https://www.facebook.com/photo.php?fbid=452133921559248&set=pcb.452133991559241&type=1&theater
The below is the output
DATE: 12/16/2013
TIME: 16:37
L I S R E L 8.72
BY
Karl G. Jöreskog & Dag Sörbom
This program is published exclusively by
Scientific Software International, Inc.
7383 N. Lincoln Avenue, Suite 100
Lincolnwood, IL 60712, U.S.A.
Phone: (800)247-6113, (847)675-0720, Fax: (847)675-2140
Copyright by Scientific Software International, Inc., 1981-2005
Use of this program is subject to the terms specified in the
Universal Copyright Convention.
Website:
www.ssicentral.com
The following lines were read from file D:\STUDIES\Ph.D files\My Ph.D Work out Files\dd.SPJ:
Raw Data from file 'D:\STUDIES\Ph.D files\My Ph.D Work out Files\real op2.psf'
Latent Variables d
Relationships
V1 = d
V2 = d
V3 = d
Path Diagram
End of Problem
Sample Size = 35
Covariance Matrix
V1 V2 V3
-------- -------- --------
V1 1.01
V2 -0.04 1.11
V3 0.25 0.21 0.99
W_A_R_N_I_N_G: THETA-DELTA is not positive definite
W_A_R_N_I_N_G: The solution was found non-admissible after 50 iterations.
The following solution is preliminary and is provided only
for the purpose of tracing the source of the problem.
Setting AD> 50 or AD=OFF may solve the problem
LISREL Estimates(Intermediate Solution)
Measurement Equations
V1 = 0.089*d, Errorvar.= 1.01 , R² = 0.0078
(0.094) (0.24)
0.94 4.14
V2 = 0.077*d, Errorvar.= 1.11 , R² = 0.0054
(0.091) (0.27)
0.85 4.15
V3 = 2.87*d, Errorvar.= -7.24 , R² = 8.28
(2.27) (12.64)
1.26 -0.57
W_A_R_N_I_N_G : Error variance is negative.
Correlation Matrix of Independent Variables
d
--------
1.00
Goodness of Fit Statistics
Degrees of Freedom = 0
Minimum Fit Function Chi-Square = 0.054 (P = 1.00)
Normal Theory Weighted Least Squares Chi-Square = 0.054 (P = 1.00)
Estimated Non-centrality Parameter (NCP) = 0.054
90 Percent Confidence Interval for NCP = (0.0 ; 0.0)
Minimum Fit Function Value = 0.0016
Population Discrepancy Function Value (F0) = 0.0016
90 Percent Confidence Interval for F0 = (0.0 ; 0.0)
Expected Cross-Validation Index (ECVI) = 0.35
90 Percent Confidence Interval for ECVI = (0.35 ; 0.35)
ECVI for Saturated Model = 0.35
ECVI for Independence Model = 0.28
Chi-Square for Independence Model with 3 Degrees of Freedom = 3.51
Independence AIC = 9.51
Model AIC = 12.05
Saturated AIC = 12.00
Independence CAIC = 17.18
Model CAIC = 27.39
Saturated CAIC = 27.33
Normed Fit Index (NFI) = 0.98
Parsimony Normed Fit Index (PNFI) = 0.0
Comparative Fit Index (CFI) = 0.89
Incremental Fit Index (IFI) = 0.98
Root Mean Square Residual (RMR) = 0.018
Standardized RMR = 0.017
Goodness of Fit Index (GFI) = 1.00
Time used: 0.047 Seconds
Thanks and Regards
R.Venkatesh
SNT GAMSAT