各路大神 下面是用MPLUS进行的中介变量为二分类的数据处理结果 经过不懈努力 终于运行出结果 就是不太知道程序对不对 还有就是结果也不知道看的对不对 MPLUS方面的初学者 望赐教。根据中介效应系数乘积检验法,看ORA2B2的P值大于0.05 所以中介效应不成立。
A2B2 -3.293 -2.713 -2.340 -0.808 -0.113 0.000 0.412
ORA2B2 0.037 0.066 0.096 0.446 0.893 1.000 1.510
但是,下图的结果以及XY在M2加入后的置信区间却表示为部分中介。不知道分析的哪个正确。还有各位大神 为啥没有CFI,TLI等指标呢?感激涕零!
MODEL RESULTS
Two-Tailed
Estimate S.E. Est./S.E. P-Value
Y ON
X -4.022 0.786 -5.117 0.000
M2 -6.694 2.270 -2.949 0.003
M2 ON
X 0.121 0.078 1.552 0.121
数据分析:
TITLE:B -QOL2
DATA:FILE IS "F:\学习\中介\Mplus M.txt";
VARIABLE:NAMES ARE a1-a12 X M1 M2 Y b1-b7;
MISSING ARE .;
USEVARIABLE ARE X M2 Y;
CATEGORICAL ARE M2;
ANALYSIS: Bootstrap=1000;
MODEL:Y ON X(c2);
M2 ON X(a2);
Y ON X
M2(b2);
MODEL CONSTRAINT:
NEW(a2b2 ORa2b2);
a2b2 = a2*b2;
ORa2b2 = exp(a2*b2);
OUTPUT:STAND CINT(bcbootstrap);
软件运行结果
Input data format FREE
SUMMARY OF DATA
Number of missing data patterns 1
COVARIANCE COVERAGE OF DATA
Minimum covariance coverage value 0.100
PROPORTION OF DATA PRESENT
Covariance Coverage
M2 Y
________ ________
M2 1.000
Y 1.000 1.000
UNIVARIATE PROPORTIONS AND COUNTS FOR CATEGORICAL VARIABLES
M2
Category 1 0.794 50.000
Category 2 0.206 13.000
THE MODEL ESTIMATION TERMINATED NORMALLY
MODEL FIT INFORMATION
Number of Free Parameters 6
WRMR (Weighted Root Mean Square Residual)
Value 0.026
MODEL RESULTS
Two-Tailed
Estimate S.E. Est./S.E. P-Value
Y ON
X -4.022 0.786 -5.117 0.000
M2 -6.694 2.270 -2.949 0.003
M2 ON
X 0.121 0.078 1.552 0.121
Intercepts
Y 107.425 4.881 22.008 0.000
Thresholds
M2$1 1.692 0.604 2.802 0.005
Residual Variances
Y 174.184 30.316 5.746 0.000
New/Additional Parameters
A2B2 -0.808 0.624 -1.294 0.196
ORA2B2 0.446 0.295 1.513 0.130
STANDARDIZED MODEL RESULTS
StdYX Std
Estimate Estimate
Y ON
X -0.506 -4.022
M2 -0.373 -6.694
M2 ON
X 0.272 0.121
Intercepts
Y 5.768 107.425
Thresholds
M2$1 1.628 1.692
Residual Variances
Y 0.502 174.184
R-SQUARE
Observed Residual
Variable Estimate Variance
M2 0.074 1.000
Y 0.498
CONFIDENCE INTERVALS OF MODEL RESULTS
Lower .5% Lower 2.5% Lower 5% Estimate Upper 5% Upper 2.5% Upper .5%
Y ON
X -6.276 -5.597 -5.415 -4.022 -2.731 -2.498 -1.981
M2 -12.315 -11.224 -10.308 -6.694 -3.050 -2.198 -0.757
M2 ON
X -0.097 -0.038 0.000 0.121 0.252 0.281 0.347
Intercepts
Y 94.915 98.346 99.445 107.425 115.656 117.290 120.785
Thresholds
M2$1 0.138 0.632 0.792 1.692 2.760 3.023 3.687
Residual Variances
Y 104.974 122.903 131.281 174.184 226.433 234.832 260.888
New/Additional Parameters
A2B2 -3.293 -2.713 -2.340 -0.808 -0.113 0.000 0.412
ORA2B2 0.037 0.066 0.096 0.446 0.893 1.000 1.510


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