各位前辈,下面是我试着用mplus做的有调节的中介模型的数据结果,但是不知道应该看哪一部分的数值,也不清楚怎么去看这个结果。由于现在放寒假了,很难联系到人帮忙看结果。希望能有人帮忙看一下做的对不对。非常非常感谢!!
DATA: FILE IS 2.dat; ! Bootstrap 法需要原始数据
VARIABLE: NAMES ARE X M Y W WX WM;
ANALYSIS: Bootstrap=2000; ! Bootstrap 法抽样 2000 次
MODEL:
M on X (a1)
W
WX (a3);
!做 W 对 X,U, UX 的回归
!X 和 UX 的回归系数分别命名为 a1 和 a3
Y on X
W
M (b1)
WM (b2);
!做Y对X,U,W,UW的回归
!W 和 UW 的回归系数分别命名为 b1 和 b2
MODEL CONSTRAINT:
new (H1-H7);
H1= a1*b2;
H2= a3*b1;
H3= a3*b2;
H4=a1*b1;
!a1b2 的估计 ! a3b1 的估计 ! a3b2 的估计
!当 U 等于 0 时的 (a1+a3U)(b1+b2U) !的中介效应的值
H5=H4+H1+H2+H3;
!当 U 等于 1 时的中介效应(a1+a3U)(b1+b2U)的值
H6=H4-H1-H2+H3;
!当 U 等于-1 时的中介效应(a1+a3U)(b1+b2U)的值
H7=H5-H4;
! U 等于 1 和 0 时的 (a1+a3U)(b1+b2U)之差
OUTPUT: cinterval (bcbootstrap);
INPUT READING TERMINATED NORMALLY
SUMMARY OF ANALYSIS
Number of groups 1
Number of observations 151
Number of dependent variables 2
Number of independent variables 4
Number of continuous latent variables 0
Observed dependent variables
Continuous
M Y
Observed independent variables
X W WX WM
Estimator ML
Information matrix OBSERVED
Maximum number of iterations 1000
Convergence criterion 0.500D-04
Maximum number of steepest descent iterations 20
Number of bootstrap draws
Requested 2000
Completed 2000
Input data file(s)
2.dat
Input data format FREE
THE MODEL ESTIMATION TERMINATED NORMALLY
MODEL FIT INFORMATION
Number of Free Parameters 11
Loglikelihood
H0 Value -303.671
H1 Value -301.695
Information Criteria
Akaike (AIC) 629.342
Bayesian (BIC) 662.532
Sample-Size Adjusted BIC 627.718
(n* = (n + 2) / 24)
Chi-Square Test of Model Fit
Value 3.951
Degrees of Freedom 2
P-Value 0.1387
RMSEA (Root Mean Square Error Of Approximation)
Estimate 0.080
90 Percent C.I. 0.000 0.198
Probability RMSEA <= .05 0.241
CFI/TLI
CFI 0.989
TLI 0.951
Chi-Square Test of Model Fit for the Baseline Model
Value 187.781
Degrees of Freedom 9
P-Value 0.0000
SRMR (Standardized Root Mean Square Residual)
Value 0.035
MODEL RESULTS
Two-Tailed
Estimate S.E. Est./S.E. P-Value
M ON
X 1.396 0.101 13.801 0.000
W -0.077 0.096 -0.802 0.423
WX -0.969 0.107 -9.048 0.000
Y ON
X 0.477 0.094 5.055 0.000
W 0.045 0.055 0.822 0.411
M 0.759 0.054 14.184 0.000
WM 0.006 0.044 0.137 0.891
Intercepts
M 1.817 0.320 5.683 0.000
Y -0.143 0.203 -0.706 0.480
Residual Variances
M 0.706 0.068 10.390 0.000
Y 0.271 0.042 6.487 0.000
New/Additional Parameters
H1 0.008 0.062 0.137 0.891
H2 -0.736 0.098 -7.507 0.000
H3 -0.006 0.043 -0.137 0.891
H4 1.059 0.105 10.111 0.000
H5 0.326 0.109 2.995 0.003
H6 1.781 0.223 7.995 0.000
H7 -0.733 0.104 -7.042 0.000
CONFIDENCE INTERVALS OF MODEL RESULTS
Lower .5% Lower 2.5% Lower 5% Estimate Upper 5% Upper 2.5% Upper .5%
M ON
X 1.131 1.202 1.235 1.396 1.556 1.593 1.667
W -0.320 -0.260 -0.234 -0.077 0.079 0.110 0.174
WX -1.287 -1.183 -1.150 -0.969 -0.799 -0.761 -0.693
Y ON
X 0.221 0.284 0.318 0.477 0.631 0.658 0.723
W -0.077 -0.056 -0.041 0.045 0.144 0.159 0.184
M 0.614 0.653 0.668 0.759 0.846 0.862 0.890
WM -0.105 -0.078 -0.065 0.006 0.081 0.098 0.127
Intercepts
M 0.980 1.172 1.276 1.817 2.338 2.426 2.619
Y -0.705 -0.572 -0.497 -0.143 0.171 0.233 0.345
Residual Variances
M 0.555 0.590 0.609 0.706 0.831 0.848 0.904
Y 0.182 0.205 0.215 0.271 0.359 0.370 0.403
New/Additional Parameters
H1 -0.148 -0.109 -0.091 0.008 0.113 0.136 0.174
H2 -1.004 -0.940 -0.910 -0.736 -0.587 -0.561 -0.500
H3 -0.124 -0.092 -0.079 -0.006 0.063 0.075 0.103
H4 0.803 0.865 0.895 1.059 1.240 1.272 1.350
H5 0.060 0.124 0.161 0.326 0.512 0.555 0.621
H6 1.207 1.364 1.426 1.781 2.154 2.221 2.366
H7 -1.012 -0.947 -0.910 -0.733 -0.567 -0.530 -0.480
Beginning Time: 14:34:19
Ending Time: 14:34:24
Elapsed Time: 00:00: