Syntax Model Pengaruh Stres Kerja terhadap Kinerja Karyawan PT. Pos Indonesia (Persero) Jakarta Timur 13000
Lampiran 7. Syntax Model Pengaruh Stres Kerja terhadap Kinerja Karyawan PT. Pos Indonesia (Persero) Jakarta Timur 13000
DATE: 6/17/2007 TIME: 14:38
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:\Restu-FEM\data.LPJ:
TI analisis SEM with Lisrel 8.7 DA NI=9 NO=137 MA=KM LA X1 X2 X3 X4 Y1.1 Y1.2 Y2.1 Y2.2 Y2.3 KM FI='D:\Restu-FEM\data.cor' SY SE 567891234/ MO NX=4 NY=5 NK=1 NE=2 BE=FU GA=FI PS=SY TE=SY,FI TD=SY,FI LE STRESKERJA KINERJA LK STRESOR FR LY(1,1) LY(2,1) LY(3,2) LY(4,2) LY(5,2) LX(1,1) LX(2,1) LX(3,1) LX(4,1) FR BE(1,2) BE(2,1) GA(1,1) FR TE(1,1) TE(2,2) TE(3,3) TE(4,4) TE(5,5) TE(3,2) TE(4,2) TE(5,2) TE(4,3) TE(5,4) FR TD(1,1) TD(2,2) TD(3,3) TD(4,4) TD(2,1) TD(3,1) PD OU ME=ML IT=1000 AD=OFF ALL
TI analisis SEM with Lisrel 8.7
Number of Input Variables 9 Number of Y - Variables 5 Number of X - Variables 4 Number of ETA - Variables 2 Number of KSI - Variables 1 Number of Observations 137
Lanjutan lampiran 7.
TI analisis SEM with Lisrel 8.7
Correlation Matrix
Y1.1 Y1.2 Y2.1 Y2.2 Y2.3 X1 -------- -------- -------- -------- -------- -------- Y1.1 1.00 Y1.2 0.63 1.00 Y2.1 -0.13 0.02 1.00 Y2.2 -0.16 -0.28 0.46 1.00 Y2.3 -0.02 -0.16 0.48 0.58 1.00
X1 0.32 0.24 -0.12 -0.19 -0.10 1.00 X2 0.51 0.36 -0.25 -0.24 -0.14 0.44 X3 0.58 0.54 -0.25 -0.25 -0.06 0.32 X4 0.50 0.42 -0.18 -0.01 0.00 0.39
Correlation Matrix
X2 X3 X4 -------- -------- -------- X2 1.00 X3 0.55 1.00 X4 0.55 0.56 1.00
TI analisis SEM with Lisrel 8.7
Parameter Specifications
LAMBDA-Y
STRESKER KINERJA -------- --------
Y1.1 0 0 Y1.2 1 0 Y2.1 0 0 Y2.2 0 2 Y2.3 0 3
LAMBDA-X
STRESOR -------- X1 4 X2 5 X3 6 X4 7
BETA
STRESKER KINERJA -------- --------
STRESKER 0 8 KINERJA 9 0
Lanjutan lampiran 7.
GAMMA
STRESOR -------- STRESKER 10 KINERJA 0
PSI
STRESKER KINERJA -------- --------
THETA-EPS
Y1.1 Y1.2 Y2.1 Y2.2 Y2.3 -------- -------- -------- -------- -------- Y1.1 13 Y1.2 0 14 Y2.1 0 15 16 Y2.2 0 17 18 19 Y2.3 0 20 0 21 22
THETA-DELTA
X1 X2 X3 X4 -------- -------- -------- -------- X1 23 X2 24 25 X3 26 0 27 X4 0 0 0 28
TI analisis SEM with Lisrel 8.7
Initial Estimates (TSLS)
LAMBDA-Y
STRESKER KINERJA -------- --------
Y1.1 1.00 - - Y1.2 1.00 - - Y2.1 - - 1.00 Y2.2 - - 1.11 Y2.3 - - 1.05
LAMBDA-X
STRESOR -------- X1 0.54 X2 0.81 X3 0.74 X4 0.69
Lanjutan lampiran 7.
BETA
STRESKER KINERJA -------- --------
STRESKER - - -0.12 KINERJA -0.32 - -
GAMMA
STRESOR -------- STRESKER 0.36 KINERJA - -
Covariance Matrix of ETA and KSI
STRESKER KINERJA STRESOR -------- -------- --------
STRESKER 0.67 KINERJA -0.27 0.56 STRESOR 0.38 -0.12 1.00
PHI
STRESOR -------- 1.00
PSI Note: This matrix is diagonal.
STRESKER KINERJA -------- --------
Squared Multiple Correlations for Structural Equations
STRESKER KINERJA -------- --------
Squared Multiple Correlations for Reduced Form
STRESKER KINERJA -------- --------
Reduced Form
STRESOR -------- STRESKER 0.38
KINERJA -0.12
Lanjutan lampiran 7.
THETA-EPS
Y1.1 Y1.2 Y2.1 Y2.2 Y2.3 -------- -------- -------- -------- -------- Y1.1 0.37 Y1.2 - - 0.37 Y2.1 - - 0.12 0.55 Y2.2 - - -0.17 -0.04 0.44 Y2.3 - - -0.06 - - 0.05 0.50
THETA-DELTA
X1 X2 X3 X4 -------- -------- -------- -------- X1 0.71 X2 0.00 0.35 X3 -0.08 - - 0.46 X4 - - - - - - 0.52
TI analisis SEM with Lisrel 8.7
Number of Iterations = 33
LISREL Estimates (Maximum Likelihood)
LAMBDA-Y
STRESKER KINERJA -------- --------
Y1.1 0.85 - -
Y1.2 0.73 - - (0.09) 7.80
Y2.1 - - 1.26
Y2.2 - - 1.03
Y2.3 - - 0.38
Lanjutan lampiran 7.
LAMBDA-X
STRESOR -------- X1 0.47 (0.09) 4.94
STRESKER KINERJA -------- --------
STRESKER - - 0.14
KINERJA -0.29 - - (0.09) -3.13
GAMMA
STRESOR -------- STRESKER 0.87 (0.10) 8.34
KINERJA - -
Covariance Matrix of ETA and KSI
STRESKER KINERJA STRESOR -------- -------- --------
STRESKER 1.00 KINERJA -0.15 1.00 STRESOR 0.83 -0.24 1.00
Lanjutan lampiran 7.
PHI
STRESOR -------- 1.00
PSI Note: This matrix is diagonal.
STRESKER KINERJA -------- --------
Squared Multiple Correlations for Structural Equations
STRESKER KINERJA -------- --------
Squared Multiple Correlations for Reduced Form
STRESKER KINERJA -------- --------
Reduced Form
STRESOR -------- STRESKER 0.83 (0.10) 8.74
KINERJA -0.24 (0.07) -3.28
THETA-EPS
Y1.1 Y1.2 Y2.1 Y2.2 Y2.3 -------- -------- -------- -------- -------- Y1.1 0.28 (0.08) 3.67
Y1.2 - - 0.46
Y2.1 - - 0.15 -0.60
Lanjutan lampiran 7.
Y2.2 - - -0.15 -0.84 -0.05
(0.07) (1.11) (1.00) -2.30 -0.76 -0.05
Y2.3 - - -0.13 - - 0.19 0.86
(0.07) (0.16) (0.17) -2.03 1.18 5.17
Squared Multiple Correlations for Y - Variables
Y1.1 Y1.2 Y2.1 Y2.2 Y2.3 -------- -------- -------- -------- --------
THETA-DELTA
X1 X2 X3 X4 -------- -------- -------- -------- X1 0.78 (0.11) 7.45
X2 0.11 0.51 (0.07) (0.08)
X3 -0.06 - - 0.33 (0.06) (0.07) -1.01 5.06
X4 - - - - - - 0.49
Squared Multiple Correlations for X - Variables
X1 X2 X3 X4 -------- -------- -------- --------
Lanjutan lampiran 7.
Goodness of Fit Statistics
Degrees of Freedom = 17 Minimum Fit Function Chi-Square = 28.48 (P = 0.040) Normal Theory Weighted Least Squares Chi-Square = 26.21 (P = 0.071) Estimated Non-centrality Parameter (NCP) = 9.21
90 Percent Confidence Interval for NCP = (0.0 ; 27.16)
Minimum Fit Function Value = 0.21 Population Discrepancy Function Value (F0) = 0.068
90 Percent Confidence Interval for F0 = (0.0 ; 0.20) Root Mean Square Error of Approximation (RMSEA) = 0.063
90 Percent Confidence Interval for RMSEA = (0.0 ; 0.11) P-Value for Test of Close Fit (RMSEA < 0.05) = 0.30
Expected Cross-Validation Index (ECVI) = 0.60 90 Percent Confidence Interval for ECVI = (0.54 ; 0.74)
ECVI for Saturated Model = 0.66 ECVI for Independence Model = 4.77
Chi-Square for Independence Model with 36 Degrees of Freedom = 631.38 Independence AIC = 649.38 Model AIC = 82.21 Saturated AIC = 90.00 Independence CAIC = 684.66 Model CAIC = 191.97 Saturated CAIC = 266.40
Normed Fit Index (NFI) = 0.95 Non-Normed Fit Index (NNFI) = 0.96 Parsimony Normed Fit Index (PNFI) = 0.45 Comparative Fit Index (CFI) = 0.98 Incremental Fit Index (IFI) = 0.98 Relative Fit Index (RFI) = 0.90
Critical N (CN) = 160.52
Root Mean Square Residual (RMR) = 0.041 Standardized RMR = 0.041 Goodness of Fit Index (GFI) = 0.96 Adjusted Goodness of Fit Index (AGFI) = 0.89
Parsimony Goodness of Fit Index (PGFI) = 0.36