TI
DA NI=8 NO=160 MA=CM
LA
ld sd zcfz ldzczz zzczz zcbc xsml xsjl
CM FI='C:\test.cov' SY
MO NX=8 NK=3 TD=SY
LK
yl yy cz
FR LX(1,3) LX(2,3) LX(3,3) LX(4,2) LX(5,2) LX(6,1) LX(7,1) LX(8,1)
PD
OU IT=50000 AD=OFF
TI
Number of Input Variables 8
Number of Y - Variables 0
Number of X - Variables 8
Number of ETA - Variables 0
Number of KSI - Variables 3
Number of Observations 160
W_A_R_N_I_N_G: Matrix to be analyzed is not positive definite,
ridge option taken with ridge constant = 0.001
TI
Covariance Matrix
ld sd zcfz ldzczz zzczz zcbc
-------- -------- -------- -------- -------- --------
ld 1.00
sd 1.00 1.00
zcfz -0.73 -0.73 1.00
ldzczz -0.58 -0.58 0.97 1.00
zzczz -0.29 -0.29 0.42 0.36 1.00
zcbc 0.86 0.86 -0.55 -0.43 0.17 1.00
xsml 0.33 0.33 -0.60 -0.57 -0.58 0.01
xsjl 0.35 0.35 -0.53 -0.47 -0.84 -0.09
Covariance Matrix
xsml xsjl
-------- --------
xsml 1.00
xsjl 0.77 1.00
TI
Parameter Specifications
LAMBDA-X
yl yy cz
-------- -------- --------
ld 0 0 1
sd 0 0 2
zcfz 0 0 3
ldzczz 0 4 0
zzczz 0 5 0
zcbc 6 0 0
xsml 7 0 0
xsjl 8 0 0
 HI
yl yy cz
-------- -------- --------
yl 0
yy 9 0
cz 10 11 0
THETA-DELTA
ld sd zcfz ldzczz zzczz zcbc
-------- -------- -------- -------- -------- --------
12 13 14 15 16 17
THETA-DELTA
xsml xsjl
-------- --------
18 19
TI
W_A_R_N_I_N_G: The solution has not converged after**** iterations.
The following solution is preliminary and is provided only
for the purpose of tracing the source of the problem.
Setting IT>*** may solve the problem.
LISREL Estimates(Intermediate Solution)
LAMBDA-X
yl yy cz
-------- -------- --------
ld - - - - 1.01
sd - - - - 1.01
zcfz - - - - -0.74
ldzczz - - 0.28 - -
zzczz - - 1.27 - -
zcbc 0.21 - - - -
xsml 0.01 - - - -
xsjl 0.04 - - - -
HI
yl yy cz
-------- -------- --------
yl 1.00
yy 0.29 1.00
cz 4.45 -0.16 1.00
THETA-DELTA
ld sd zcfz ldzczz zzczz zcbc
-------- -------- -------- -------- -------- --------
0.00 0.00 0.46 0.92 -0.61 0.96
THETA-DELTA
xsml xsjl
-------- --------
1.00 1.00
LX was written to file C:\DUMP
PH was written to file C:\DUMP
TD was written to file C:\DUMP
Goodness of Fit Statistics
Degrees of Freedom = 17
Minimum Fit Function Chi-Square = 1064.47 (P = 0.0)
Normal Theory Weighted Least Squares Chi-Square = 516.77 (P = 0.0)
Estimated Non-centrality Parameter (NCP) = 499.77
90 Percent Confidence Interval for NCP = (429.27 ; 577.69)
Minimum Fit Function Value = http://bbs.pinggu.org/6.69
Population Discrepancy Function Value (F0) = 3.14
90 Percent Confidence Interval for F0 = (2.70 ; 3.63)
Root Mean Square Error of Approximation (RMSEA) = 0.43
90 Percent Confidence Interval for RMSEA = (0.40 ; 0.46)
-Value for Test of Close Fit (RMSEA < 0.05) = 0.00
Expected Cross-Validation Index (ECVI) = 3.49
90 Percent Confidence Interval for ECVI = (3.05 ; 3.98)
ECVI for Saturated Model = 0.45
ECVI for Independence Model = 9.53
Chi-Square for Independence Model with 28 Degrees of Freedom = 1498.67
Independence AIC = 1514.67
Model AIC = 554.77
Saturated AIC = 72.00
Independence CAIC = 1547.27
Model CAIC = 632.20
Saturated CAIC = 218.71
Normed Fit Index (NFI) = 0.29
Non-Normed Fit Index (NNFI) = -0.17
arsimony Normed Fit Index (PNFI) = 0.18
Comparative Fit Index (CFI) = 0.29
Incremental Fit Index (IFI) = 0.29
Relative Fit Index (RFI) = -0.17
Critical N (CN) = 5.99
Root Mean Square Residual (RMR) = 0.36
Standardized RMR = 0.36
Goodness of Fit Index (GFI) = 0.55
Adjusted Goodness of Fit Index (AGFI) = 0.050
arsimony Goodness of Fit Index (PGFI) = 0.26
Modification Indices cannot be Computed Because Iterations have not Converged
Time used: 41.688 Seconds |
