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各位大佬好,求助Mplus做潜变量中介时遇到的问题,代码如下:
TITLE:
DATA:
FILE IS 2-1.dat;
VARIABLE:
MISSING ARE ALL (-99);
NAMES ARE PRE21 PRE22 PRE23 PRE24 PRE25 PRE26 STR21 STR22 STR23
CRA21 CRA22 CRA23 CRA24;
USEVARIABLES = PRE21 PRE22 PRE23 PRE24 PRE25 PRE26
STR21 STR22 STR23
CRA21 CRA22 CRA23 CRA24;
ANALYSIS:
TYPE = GENERAL;
ESTIMATOR = ML;
BOOTSTRAP = 10000;
MODEL:
X by PRE21 PRE22 PRE23 PRE24 PRE25 PRE26;
M by STR21 STR22 STR23;
Y by CRA21 CRA22 CRA23 CRA24;
[Y] (b0);
Y on M (b1);
Y on X (cdash);
M on X (a1);
MODEL CONSTRAINT:
NEW(a1b1 TOTAL);
a1b1 = a1*b1;
TOTAL = a1*b1 + cdash;
OUTPUT:
STAND CINT(bcbootstrap);数据中缺失值较少,大体上应该没有问题才对,但是计算结果中的P值非常大,大量结果异常,在网上找解决方案找了很久,但还是没找到,只能求教大佬,截取了主要的计算结果如下:
MODEL FIT INFORMATION
Number of Free Parameters 43
Loglikelihood
H0 Value -3656.717
H1 Value -3532.300
Information Criteria
Akaike (AIC) 7399.435
Bayesian (BIC) 7538.602
Sample-Size Adjusted BIC 7402.400
(n* = (n + 2) / 24)
Chi-Square Test of Model Fit
Value 248.836
Degrees of Freedom 61
P-Value 0.0000
RMSEA (Root Mean Square Error Of Approximation)
Estimate 0.128
90 Percent C.I. 0.112 0.145
Probability RMSEA <= .05 0.000
CFI/TLI
CFI 0.888
TLI 0.857
Chi-Square Test of Model Fit for the Baseline Model
Value 1754.537
Degrees of Freedom 78
P-Value 0.0000
SRMR (Standardized Root Mean Square Residual)
Value 0.094
MODEL RESULTS
Two-Tailed
Estimate S.E. Est./S.E. P-Value
X BY
PRE21 1.000 0.000 999.000 999.000
PRE22 1.104 999.000 0.001 0.999
PRE23 4.659 999.000 0.005 0.996
PRE24 4.348 999.000 0.004 0.997
PRE25 4.611 999.000 0.005 0.996
PRE26 4.519 999.000 0.005 0.996
M BY
STR21 1.000 0.000 999.000 999.000
STR22 1.277 999.000 0.001 0.999
STR23 1.170 999.000 0.001 0.999
Y BY
CRA21 1.000 0.000 999.000 999.000
CRA22 1.165 999.000 0.001 0.999
CRA23 1.036 999.000 0.001 0.999
CRA24 1.165 999.000 0.001 0.999
Y ON
M 0.239 999.000 0.000 1.000
X 0.493 999.000 0.000 1.000
M ON
X 0.280 999.000 0.000 1.000
Intercepts
PRE21 5.005 999.000 0.005 0.996
PRE22 4.830 999.000 0.005 0.996
PRE23 5.255 999.000 0.005 0.996
PRE24 4.851 999.000 0.005 0.996
PRE25 4.963 999.000 0.005 0.996
PRE26 5.053 999.000 0.005 0.996
STR21 5.000 999.000 0.005 0.996
STR22 4.920 999.000 0.005 0.996
STR23 4.904 999.000 0.005 0.996
CRA21 5.002 999.000 0.005 0.996
CRA22 4.959 999.000 0.005 0.996
CRA23 5.209 999.000 0.005 0.996
CRA24 5.049 999.000 0.005 0.996
Y 0.004 999.000 0.000 1.000
Variances
X 0.086 999.000 0.000 1.000
Residual Variances
PRE21 1.569 999.000 0.002 0.999
PRE22 2.260 999.000 0.002 0.998
PRE23 0.363 999.000 0.000 1.000
PRE24 0.635 999.000 0.001 0.999
PRE25 0.970 999.000 0.001 0.999
PRE26 0.641 999.000 0.001 0.999
STR21 0.285 999.000 0.000 1.000
STR22 0.811 999.000 0.001 0.999
STR23 0.505 999.000 0.001 1.000
CRA21 0.283 999.000 0.000 1.000
CRA22 0.726 999.000 0.001 0.999
CRA23 0.568 999.000 0.001 1.000
CRA24 0.562 999.000 0.001 1.000
M 1.336 999.000 0.001 0.999
Y 1.120 999.000 0.001 0.999
New/Additional Parameters
A1B1 0.067 999.000 0.000 1.000
TOTAL 0.560 999.000 0.001 1.000
CONFIDENCE INTERVALS OF MODEL RESULTS
Lower .5% Lower 2.5% Lower 5% Estimate Upper 5% Upper 2.5% Upper .5%
New/Additional Parameters
A1B1 999.000 999.000 0.000 0.067 0.000 999.000 999.000
TOTAL 999.000 999.000 0.000 0.560 0.000 999.000 999.000