DATE: 6/16/2012
TIME: 10:16
L I S R E
L 8.70
BY
Karl G. Jöreskog &
Dag Sörbom
This program is published
exclusively by
Scientific Software International, Inc.
7383 N. Lincoln Avenue, Suite 100
Phone: (800)247-6113,
(847)675-0720, Fax: (847)675-2140
Copyright by Scientific Software
International, Inc., 1981-2004
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:\S
Kaleh\Statistik\Data dari buku hair\HBAT_SEM.SPJ:
TI
SYSTEM FILE from file 'D:\S
Kaleh\Statistik\Data dari buku hair\HBAT_SEM.dsf'
Sample Size = 398
Relationships
OC = JS
SI = JS OC
JS = AC EP
OC = AC EP
Path Diagram
End of Problem
Sample Size =
398
TI
Covariance
Matrix
JS OC SI
EP AC
-------- -------- --------
-------- --------
JS 1.00
OC 0.18 1.00
SI 0.20 0.49 1.00
EP 0.21 0.43 0.49 1.00
AC 0.04 0.27 0.28 0.22 1.00
TI
Number
of Iterations = 6
LISREL Estimates (Maximum Likelihood)
Structural Equations
JS = 0.21*EP - 0.0034*AC, Errorvar.=
0.96 , R² = 0.042
(0.050) (0.050) (0.068)
4.09 -0.067 14.05
OC =
0.095*JS + 0.37*EP + 0.18*AC, Errorvar.= 0.77
, R² = 0.23
(0.045) (0.046) (0.045) (0.055)
2.11 8.06 3.94 14.05
SI =
0.12*JS + 0.46*OC, Errorvar.= 0.75 , R²
= 0.25
(0.044) (0.044) (0.054)
2.59 10.47 14.05
Reduced Form Equations
JS = 0.21*EP - 0.0034*AC, Errorvar.=
0.96, R² = 0.042
(0.050) (0.050)
4.09 -0.067
OC =
0.39*EP + 0.18*AC, Errorvar.= 0.78, R² = 0.22
(0.046) (0.046)
8.61 3.91
SI =
0.21*EP + 0.082*AC, Errorvar.= 0.94, R² = 0.057
(0.029) (0.024)
7.12 3.45
Correlation Matrix of Independent
Variables
EP AC
-------- --------
EP
1.00
(0.07)
14.05
AC
0.22 1.00
(0.05) (0.07)
4.29 14.05
Covariance Matrix of Latent
Variables
JS OC
SI EP AC
-------- --------
-------- -------- --------
JS
1.00
OC
0.18 1.00
SI
0.20 0.49 1.00
EP
0.21 0.43 0.22 1.00
AC
0.04 0.27 0.13 0.22 1.00
Goodness of Fit
Statistics
Degrees of
Freedom = 2
Minimum Fit Function Chi-Square
= 59.19 (P = 0.0)
Normal Theory Weighted Least Squares
Chi-Square = 54.99 (P = 0.0)
Estimated Non-centrality
Parameter (NCP) = 52.99
90 Percent Confidence Interval for
NCP = (32.41 ; 80.98)
Minimum Fit Function
Value = 0.15
Population Discrepancy Function
Value (F0) = 0.13
90 Percent Confidence Interval
for F0 = (0.082 ; 0.21)
Root Mean Square Error of
Approximation (RMSEA) = 0.26
90 Percent Confidence Interval for
RMSEA = (0.20 ; 0.32)
P-Value for Test of Close Fit
(RMSEA < 0.05) = 0.00
Expected Cross-Validation
Index (ECVI) = 0.21
90 Percent Confidence Interval for
ECVI = (0.15 ; 0.28)
ECVI for Saturated
Model = 0.076
ECVI for Independence
Chi-Square for Independence
Model AIC =
80.99
Saturated AIC =
30.00
Model CAIC =
145.81
Saturated CAIC =
104.80
Normed Fit Index
(NFI) = 0.85
Non-Normed Fit Index
(NNFI) = 0.24
Parsimony Normed Fit Index
(PNFI) = 0.17
Comparative Fit Index
(CFI) = 0.85
Incremental Fit Index
(IFI) = 0.85
Relative Fit Index
(RFI) = 0.24
Critical N (CN) =
62.79
Root Mean Square Residual
(RMR) = 0.079
Standardized RMR =
0.079
Goodness of Fit Index (GFI) = 0.95
Adjusted Goodness of Fit
Index (AGFI) = 0.61
Parsimony Goodness of Fit
Index (PGFI) = 0.13
The Modification Indices Suggest to Add
the
Path to
from Decrease in Chi-Square New Estimate
JS SI 47.0 -2.07
OC SI 54.3 -0.84
SI EP 47.7 0.34
SI AC 12.2 0.16
The Modification Indices Suggest to Add an
Error Covariance
Between
and Decrease in
Chi-Square New Estimate
SI JS 47.0 -1.56
SI OC 54.3 -0.63
JS JS 40.7 16.08
OC JS 51.3 2.55
OC OC 54.3 1.36
SI JS 40.7 -1.85
SI OC 54.3 -0.63
EP JS 42.5 -2.19
EP OC 42.5 -0.54
EP SI 42.5 0.25
Time used: 0.094 Seconds
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