TI
DA NI=20 NO=373 MA=CM
LA
CONST Q1 Q2R Q3 Q4 Q5R Q6 Q7 Q8R Q9
Q10R Q11R Q12 Q13R Q14R Q15R Q16 Q17R Q18
Q19 Q20R
CM FI='C:\Documents and Settings\Administrator\桌面\lis\lisrel.cov' SY
SE
7 6 10 9 15 2 11 16 4 12 5 13 1 /
MO NX=13 NK=4 TD=SY
LK
deceit flattery immorality cynicism
FR LX(1,1) LX(2,1) LX(3,1) LX(4,1) LX(5,2) LX(6,2) LX(7,3) LX(8,3) LX(9,3)
FR LX(10,4) LX(11,4) LX(12,4) LX(13,4)
PD
OU
TI
Number of Input Variables 20
Number of Y - Variables 0
Number of X - Variables 13
Number of ETA - Variables 0
Number of KSI - Variables 4
Number of Observations 373
TI
Covariance Matrix
Q6 Q5R Q9 Q8R Q14R Q1
-------- -------- -------- -------- -------- --------
Q6 3.01
Q5R 0.60 3.13
Q9 0.01 -0.10 1.31
Q8R 0.74 0.88 -0.25 2.95
Q14R 0.14 -0.16 0.22 0.48 2.87
Q1 0.28 0.17 0.22 0.55 0.74 3.11
Q10R -0.15 -0.17 0.52 -0.42 -0.05 0.12
Q15R 0.40 0.59 0.26 -0.01 -0.18 0.17
Q3 0.62 0.60 0.10 0.48 0.13 -0.09
Q11R 0.19 0.31 -0.28 0.75 -0.19 -0.19
Q4 0.23 0.02 0.46 0.31 0.74 0.83
Q12 0.01 0.25 0.10 0.51 1.01 0.73
CONST 0.59 0.45 -0.01 0.42 -0.25 -0.07
Covariance Matrix
Q10R Q15R Q3 Q11R Q4 Q12
-------- -------- -------- -------- -------- --------
Q10R 1.33
Q15R 0.28 2.68
Q3 0.12 0.36 2.84
Q11R -0.39 -0.08 0.15 3.21
Q4 0.27 0.20 -0.28 -0.02 2.78
Q12 0.03 -0.03 -0.10 -0.04 0.82 3.24
CONST -0.01 0.45 0.38 0.10 -0.16 -0.03
Covariance Matrix
CONST
--------
CONST 3.36
TI
Parameter Specifications
LAMBDA-X
deceit flattery immorali cynicism
-------- -------- -------- --------
Q6 1 0 0 0
Q5R 2 0 0 0
Q9 3 0 0 0
Q8R 4 0 0 0
Q14R 0 5 0 0
Q1 0 6 0 0
Q10R 0 0 7 0
Q15R 0 0 8 0
Q3 0 0 9 0
Q11R 0 0 0 10
Q4 0 0 0 11
Q12 0 0 0 12
CONST 0 0 0 13
PHI
deceit flattery immorali cynicism
-------- -------- -------- --------
deceit 0
flattery 14 0
immorali 15 16 0
cynicism 17 18 19 0
THETA-DELTA
Q6 Q5R Q9 Q8R Q14R Q1
-------- -------- -------- -------- -------- --------
20 21 22 23 24 25
THETA-DELTA
Q10R Q15R Q3 Q11R Q4 Q12
-------- -------- -------- -------- -------- --------
26 27 28 29 30 31
THETA-DELTA
CONST
--------
32
W_A_R_N_I_N_G: PHI is not positive definite
W_A_R_N_I_N_G: THETA-DELTA is not positive definite
TI
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)
LAMBDA-X
deceit flattery immorali cynicism
-------- -------- -------- --------
Q6 0.62 - - - - - -
Q5R 0.70 - - - - - -
Q9 -0.25 - - - - - -
Q8R 1.19 - - - - - -
Q14R - - 0.87 - - - -
Q1 - - 0.81 - - - -
Q10R - - - - 3.40 - -
Q15R - - - - 0.08 - -
Q3 - - - - 0.08 - -
Q11R - - - - - - 0.22
Q4 - - - - - - -0.42
Q12 - - - - - - -0.52
CONST - - - - - - 0.13
PHI
deceit flattery immorali cynicism
-------- -------- -------- --------
deceit 1.00
flattery 0.34 1.00
immorali -0.12 -0.01 1.00
cynicism -0.19 -1.50 -0.13 1.00
W_A_R_N_I_N_G: PHI is not positive definite
THETA-DELTA
Q6 Q5R Q9 Q8R Q14R Q1
-------- -------- -------- -------- -------- --------
2.64 2.66 1.23 1.51 2.06 2.42
THETA-DELTA
Q10R Q15R Q3 Q11R Q4 Q12
-------- -------- -------- -------- -------- --------
-10.10 2.67 2.83 3.15 2.51 2.95
THETA-DELTA
CONST
--------
3.36
W_A_R_N_I_N_G: THETA-DELTA is not positive definite
Goodness of Fit Statistics
Degrees of Freedom = 59
Minimum Fit Function Chi-Square = 263.84 (P = 0.0)
Normal Theory Weighted Least Squares Chi-Square = 272.51 (P = 0.0)
Estimated Non-centrality Parameter (NCP) = 213.51
90 Percent Confidence Interval for NCP = (165.95 ; 268.61)
Minimum Fit Function Value = 0.71
Population Discrepancy Function Value (F0) = 0.57
90 Percent Confidence Interval for F0 = (0.45 ; 0.72)
Root Mean Square Error of Approximation (RMSEA) = 0.099
90 Percent Confidence Interval for RMSEA = (0.087 ; 0.11)
P-Value for Test of Close Fit (RMSEA < 0.05) = 0.00
Expected Cross-Validation Index (ECVI) = 0.90
90 Percent Confidence Interval for ECVI = (0.78 ; 1.05)
ECVI for Saturated Model = 0.49
ECVI for Independence Model = 1.70
Chi-Square for Independence Model with 78 Degrees of Freedom = 604.76
Independence AIC = 630.76
Model AIC = 336.51
Saturated AIC = 182.00
Independence CAIC = 694.74
Model CAIC = 494.00
Saturated CAIC = 629.86
Normed Fit Index (NFI) = 0.55
Non-Normed Fit Index (NNFI) = 0.46
Parsimony Normed Fit Index (PNFI) = 0.42
Comparative Fit Index (CFI) = 0.59
Incremental Fit Index (IFI) = 0.61
Relative Fit Index (RFI) = 0.40
Critical N (CN) = 119.99
Root Mean Square Residual (RMR) = 0.26
Standardized RMR = 0.098
Goodness of Fit Index (GFI) = 0.90
Adjusted Goodness of Fit Index (AGFI) = 0.84
Parsimony Goodness of Fit Index (PGFI) = 0.58
Time used: 0.047 Seconds
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