全模型结果解释.docx
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全模型结果解释.docx
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全模型结果解释
有关命令的解释:
LE界定内生潜变量η的名称,LK界定外生潜变量的名称。
OU列:
适配的协方差阵(RS),标准误(SE),完全标准化解值(SC),全体与间接效果(EF),t值(TV),模式的修正指数(MI),参数估计值的相关(PC),设定最大迭代次数为300此,有3位小数(ND=3)。
若未设定最大迭代次数,则LISREL内定是估计参数的3倍。
hn
DATE:
12/8/2003
TIME:
18:
14
LISREL8.53
BY
KarlG.J攔eskog&DagS攔bom
Thisprogramispublishedexclusivelyby
ScientificSoftwareInternational,Inc.
7383N.LincolnAvenue,Suite100
Lincolnwood,IL60712,U.S.A.
Phone:
(800)247-6113,(847)675-0720,Fax:
(847)675-2140
CopyrightbyScientificSoftwareInternational,Inc.,1981-2002
Useofthisprogramissubjecttothetermsspecifiedinthe
UniversalCopyrightConvention.
Website:
Thefollowinglineswerereadfromfilechap3_3_2_Full_M1.LS8:
FullModel
OriginalModelM1
DANI=18NO=500MA=KM
KMSY
1
.681
.60.581
.01.10.071
.12.04.06.291
.06.06.01.35.241
.09.13.10.05.03.071
.04.08.16.10.12.06.251
.06.09.02.02.09.16.29.361
.23.26.19.05.04.04.08.09.091
.11.13.12.03.05.03.02.06.06.401
.16.09.09.10.10.02.04.12.15.29.201
.24.26.22.14.06.10.06.07.08.03.04.021
.21.22.29.07.05.17.12.06.06.03.12.04.551
.29.28.26.06.07.05.06.15.20.10.03.12.64.611
.15.16.19.18.08.07.08.10.06.15.16.07.25.25.161
.24.20.16.13.15.18.19.18.14.11.07.16.19.21.22.351
.14.25.12.09.11.09.09.11.21.17.09.05.21.23.18.39.481
MONY=9NE=3NX=9NK=3PH=SY,FRPS=SY,FITD=DI,FRTE=DI,FRBE=FU,FI
PALY
3(100)
3(010)
3(001)
PALX
3(100)
3(010)
3(001)
FILY11LY42LY73LX11LX42LX73
VA1LY11LY42LY73LX11LX42LX73
PAGA
111
001
100
FRBE21
FRPS11PS22PS33PS23
OUSSSCMIND=3
FullModel
NumberofInputVariables18
NumberofY-Variables9
NumberofX-Variables9
NumberofETA-Variables3
NumberofKSI-Variables3
NumberofObservations500
FullModel
CorrelationMatrix
VAR1VAR2VAR3VAR4VAR5VAR6
------------------------------------------------
VAR11.000
VAR20.6801.000
VAR30.6000.5801.000
VAR40.0100.1000.0701.000
VAR50.1200.0400.0600.2901.000
VAR60.0600.0600.0100.3500.2401.000
VAR70.0900.1300.1000.0500.0300.070
VAR80.0400.0800.1600.1000.1200.060
VAR90.0600.0900.0200.0200.0900.160
VAR100.2300.2600.1900.0500.0400.040
VAR110.1100.1300.1200.0300.0500.030
VAR120.1600.0900.0900.1000.1000.020
VAR130.2400.2600.2200.1400.0600.100
VAR140.2100.2200.2900.0700.0500.170
VAR150.2900.2800.2600.0600.0700.050
VAR160.1500.1600.1900.1800.0800.070
VAR170.2400.2000.1600.1300.1500.180
VAR180.1400.2500.1200.0900.1100.090
CorrelationMatrix
VAR7VAR8VAR9VAR10VAR11VAR12
------------------------------------------------
VAR71.000
VAR80.2501.000
VAR90.2900.3601.000
VAR100.0800.0900.0901.000
VAR110.0200.0600.0600.4001.000
VAR120.0400.1200.1500.2900.2001.000
VAR130.0600.0700.0800.0300.0400.020
VAR140.1200.0600.0600.0300.1200.040
VAR150.0600.1500.2000.1000.0300.120
VAR160.0800.1000.0600.1500.1600.070
VAR170.1900.1800.1400.1100.0700.160
VAR180.0900.1100.2100.1700.0900.050
CorrelationMatrix
VAR13VAR14VAR15VAR16VAR17VAR18
------------------------------------------------
VAR131.000
VAR140.5501.000
VAR150.6400.6101.000
VAR160.2500.2500.1601.000
VAR170.1900.2100.2200.3501.000
VAR180.2100.2300.1800.3900.4801.000
FullModel
ParameterSpecifications
LAMBDA-Y
ETA1ETA2ETA3
------------------------
VAR1000
VAR2100
VAR3200
VAR4000
VAR5030
VAR6040
VAR7000
VAR8005
VAR9006
LAMBDA-X
KSI1KSI2KSI3
------------------------
VAR10000
VAR11700
VAR12800
VAR13000
VAR14090
VAR150100
VAR16000
VAR170011
VAR180012
BETA
ETA1ETA2ETA3
------------------------
ETA1000
ETA21300
ETA3000
GAMMA
KSI1KSI2KSI3
------------------------
ETA1141516
ETA20017
ETA31800
PHI
KSI1KSI2KSI3
------------------------
KSI119
KSI22021
KSI3222324
PSI
ETA1ETA2ETA3
------------------------
ETA125
ETA2026
ETA302728
THETA-EPS
VAR1VAR2VAR3VAR4VAR5VAR6
------------------------------------------------
293031323334
THETA-EPS
VAR7VAR8VAR9
------------------------
353637
THETA-DELTA
VAR10VAR11VAR12VAR13VAR14VAR15
------------------------------------------------
383940414243
THETA-DELTA
VAR16VAR17VAR18
------------------------
444546
FullModel
NumberofIterations=13
LISRELEstimates(MaximumLikelihood)
LAMBDA-Y(Λy矩阵)
ETA1ETA2ETA3
------------------------
VAR11.000----
VAR20.987----
(0.057)
17.419
VAR30.865----
(0.055)
15.856
VAR4--1.000--
VAR5--0.755--
(0.131)
5.781
VAR6--0.908--
(0.155)
5.865
VAR7----1.000
VAR8----1.268
(0.213)
5.939
VAR9----1.422
(0.248)
5.733
LAMBDA-X(Λx矩阵)
KSI1KSI2KSI3
------------------------
VAR101.000----
VAR110.691----
(0.105)
6.609
VAR120.537----
(0.091)
5.931
VAR13--1.000--
VAR14--0.956--
(0.064)
15.025
VAR15--1.087--
(0.068)
15.906
VAR16----1.000
VAR17----1.207
(0.133)
9.062
VAR18----1.226
(0.135)
9.079
BETA(B矩阵:
描述内生潜变量之间因果路径系数的m×n阶系数矩阵)
ETA1ETA2ETA3
------------------------
ETA1------
ETA20.015----
(0.052)
0.286
ETA3------
GAMMA(Γ矩阵:
描述内生潜变量与外生潜变量因果路径系数的m×n阶系数矩阵)
KSI1KSI2KSI3
------------------------
ETA10.3190.3400.194
(0.077)(0.063)(0.100)
4.1695.3811.942
ETA2----0.340
(0.092)
3.675
ETA30.162----
(0.050)
3.260
CovarianceMatrixofETAandKSI(内生潜变量及外生潜变量的协方差矩阵)
ETA1ETA2ETA3KSI1KSI2KSI3
------------------------------------------------
ETA10.688
ETA20.0660.373
ETA30.0370.0500.200
KSI10.2310.0500.0900.554
KSI20.2590.0630.0130.0810.585
KSI30.1640.1090.0220.1380.1740.313
(外生潜变量估计变异数分别是0.554,0.585,0.313;外生潜变量1与外生潜变量2的估计共变量为0.081;外生潜变量1与外生潜变量3的估计共变量为0.138;外生潜变量2与外生潜变量4的估计共变量为0.174)
PHI
KSI1KSI2KSI3
------------------------
KSI10.554
(0.094)
5.879
KSI20.0810.585
(0.035)(0.064)
2.2819.142
KSI30.1380.1740.313
(0.031)(0.031)(0.056)
4.4455.7015.621
(三个外生潜变量的变异及彼此的共变数(对角线以下)都达0.05显著水平)
PSI
ETA1ETA2ETA3
------------------------
ETA10.494
(0.053)
9.342
ETA2--0.335
(0.073)
4.563
ETA3--0.0420.186
(0.021)(0.049)
1.9493.803
(三个内生潜变量的变异及彼此的共变数(对角线以下)都达0.05显著水平)
SquaredMultipleCorrelationsforStructuralEquations
ETA1ETA2ETA3
------------------------
0.2820.1020.072
(是结构方程的R2,其数值表示内生潜变量可以被解释的变异。
由此处可知,三个内生潜变量可以被解释的变异百分比各约是28.2%,10.2%,7.2%。
以1分别减去这三个数,即可计算三个ζ值,在20页将报告)
SquaredMultipleCorrelationsforReducedForm
ETA1ETA2ETA3
------------------------
0.2820.1020.072
ReducedForm
KSI1KSI2KSI3
------------------------
ETA10.3190.3400.194
(0.077)(0.063)(0.100)
4.1695.3811.942
ETA20.0050.0050.343
(0.017)(0.018)(0.089)
0.2850.2853.847
ETA30.162----
(0.050)
3.260
THETA-EPS(y变量的测量误差矩阵)
VAR1VAR2VAR3VAR4VAR5VAR6
------------------------------------------------
0.3120.3300.4850.6230.7850.689
(0.035)(0.035)(0.039)(0.074)(0.063)(0.068)
8.8319.29512.6048.46212.55210.145
THETA-EPS
VAR7VAR8VAR9
------------------------
0.8000.6780.595
(0.062)(0.069)(0.078)
12.9019.7637.657
SquaredMultipleCorrelationsforY-Variables(y变量的R2,也是内生潜变量各观察指标的信度,要求所有潜变量各观察指标的信度都在0.5以上,以1分别减去这9个数,即可以得到测量变量的误差ε,见上↑)
VAR1VAR2VAR3VAR4VAR5VAR6
------------------------------------------------
0.6880.6700.5150.3740.2130.309
SquaredMultipleCorrelationsforY-Variables
VAR7VAR8VAR9
------------------------
0.2000.3220.405
THETA-DELTA(x变量的测量误差矩阵)
VAR10VAR11VAR12VAR13VAR14VAR15
------------------------------------------------
0.4460.7350.8400.4150.4650.309
(0.080)(0.060)(0.060)(0.038)(0.039)(0.038)
5.54412.15914.09810.81611.8468.177
THETA-DELTA
VAR16VAR17VAR18
------------------------
0.6870.5440.529
(0.054)(0.054)(0.054)
12.79210.0829.752
SquaredMultipleCorrelationsforX-Variables(y变量的R2,也是外生潜变量各观察指标的信度,要求所有潜变量各观察指标的信度都在0.5以上,以1分别减去这9个数,即可以得到测量变量的误差ε,见上↑)
VAR10VAR11VAR12VAR13VAR14VAR15
------------------------------------------------
0.5540.2650.1600.5850.5350.691
SquaredMultipleCorrelationsforX-Variables
VAR16VAR17VAR18
------------------------
0.3130.4560.471
GoodnessofFitStatistics
DegreesofFreedom=125
MinimumFitFunctionChi-Square=292.514(P=0.00)以ML法估计,采用这个
NormalTheoryWeightedLeastSquaresChi-Square=278.686(P=0.00)
EstimatedNon-centralityParameter(NCP)=153.686
90PercentConfidenceIntervalforNCP=(109.136;205.971)
卡方自由度比值小于3
MinimumFitFunctionValue=0.586
PopulationDiscrepancyFunctionValue(F0)=0.308
90PercentConfidenceIntervalforF0=(0.219;0.413)
RootMeanSquareErrorofApproximation(RMSEA)=0.0496
90PercentConfidenceIntervalforRMSEA=(0.04
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