Mplus VERSION 7.4
MUTHEN & MUTHEN
06/22/2016 11:41 AM
INPUT INSTRUCTIONS
title:
data:
file = xmVx4s1n200rep6.dat;
variable:
names = y m x;
usev = y m x mx;
define:
mx = m*x;
analysis:
estimator = ml;
bootstrap = 10000;
model:
y on m (b1)
x (b2)
mx (b3);
m on x (g1);
[m] (g0);
!model indirect: y MOD m mx x(7 5);
model constraint:
loop(x,1,9,.1);
plot(indirect direct);
indirect = (b1+b3*(x+2))*g1*2;
direct = (b2+b3*(g0+g1*x)*2;
output:
sampstat cinterval(bootstrap);
plot:
type = plot3;
*** ERROR
Missing matching right parenthesis.
1 ERROR(S) FOUND IN THE INPUT INSTRUCTIONS
SUMMARY OF ANALYSIS
Number of groups 1
Number of observations 200
Number of dependent variables 2
Number of independent variables 2
Number of continuous latent variables 0
Observed dependent variables
Continuous
Y M
Observed independent variables
X MX
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 10000
Completed 10000
Input data file(s)
xmVx4s1n200rep6.dat
Input data format FREE
SAMPLE STATISTICS
SAMPLE STATISTICS
Means
Y M X MX
________ ________ ________ ________
1 5.409 5.606 5.053 30.423
Covariances
Y M X MX
________ ________ ________ ________
Y 18.879
M 4.162 3.897
X 4.176 2.097 3.820
MX 45.105 30.652 31.787 344.303
Correlations
Y M X MX
________ ________ ________ ________
Y 1.000
M 0.485 1.000
X 0.492 0.544 1.000
MX 0.559 0.837 0.876 1.000
UNIVARIATE SAMPLE STATISTICS
UNIVARIATE HIGHER-ORDER MOMENT DESCRIPTIVE STATISTICS
Variable/ Mean/ Skewness/ Minimum/ % with Percentiles
Sample Size Variance Kurtosis Maximum Min/Max 20%/60% 40%/80% Median
Y 5.409 -0.190 -6.783 0.50% 1.785 4.658 5.499
200.000 18.879 -0.096 15.070 0.50% 6.500 8.945
M 5.606 0.071 1.156 0.50% 3.819 5.088 5.537
200.000 3.897 -0.558 10.817 0.50% 6.116 7.387
X 5.053 0.028 0.509 0.50% 3.436 4.448 5.039
200.000 3.820 -0.300 10.234 0.50% 5.528 6.852
MX 30.423 0.730 0.889 0.50% 13.517 23.359 27.533
200.000 344.303 0.358 98.308 0.50% 31.666 46.650
THE MODEL ESTIMATION TERMINATED NORMALLY
MODEL FIT INFORMATION
Number of Free Parameters 8
Loglikelihood
H0 Value -924.528
H1 Value -765.986
Information Criteria
Akaike (AIC) 1865.056
Bayesian (BIC) 1891.442
Sample-Size Adjusted BIC 1866.098
(n* = (n + 2) / 24)
Chi-Square Test of Model Fit
Value 317.083
Degrees of Freedom 1
P-Value 0.0000
RMSEA (Root Mean Square Error Of Approximation)
Estimate 1.257
90 Percent C.I. 1.143 1.375
Probability RMSEA <= .05 0.000
CFI/TLI
CFI 0.310
TLI -2.452
Chi-Square Test of Model Fit for the Baseline Model
Value 462.853
Degrees of Freedom 5
P-Value 0.0000
SRMR (Standardized Root Mean Square Residual)
Value 0.103
MODEL RESULTS
Two-Tailed
Estimate S.E. Est./S.E. P-Value
Y ON
M 0.276 0.348 0.794 0.427
X 0.242 0.418 0.579 0.563
MX 0.084 0.070 1.210 0.226
M ON
X 0.549 0.052 10.551 0.000
Intercepts
Y 0.081 1.819 0.044 0.965
M 2.832 0.297 9.539 0.000
Residual Variances
Y 12.927 1.310 9.869 0.000
M 2.746 0.281 9.770 0.000
CONFIDENCE INTERVALS OF MODEL RESULTS
Lower .5% Lower 2.5% Lower 5% Estimate Upper 5% Upper 2.5% Upper .5%
Y ON
M -0.600 -0.406 -0.302 0.276 0.844 0.959 1.208
X -0.787 -0.564 -0.434 0.242 0.940 1.087 1.397
MX -0.095 -0.052 -0.028 0.084 0.200 0.222 0.264
M ON
X 0.412 0.444 0.462 0.549 0.633 0.650 0.675
Intercepts
Y -5.160 -3.764 -3.060 0.081 2.931 3.426 4.468
M 2.108 2.269 2.358 2.832 3.334 3.431 3.621
Residual Variances
Y 9.538 10.209 10.566 12.927 14.904 15.363 16.315
M 2.055 2.198 2.273 2.746 3.198 3.300 3.514
PLOT INFORMATION
The following plots are available:
Histograms (sample values, estimated values, residuals)
Scatterplots (sample values, estimated values, residuals)
Loop plots
Bootstrap distributions
DIAGRAM INFORMATION
Use View Diagram under the Diagram menu in the Mplus Editor to view the diagram.
If running Mplus from the Mplus Diagrammer, the diagram opens automatically.
Diagram output
c:\users\bengt 2013\documents\bengt\mplus runs\a book - topic 1 mplus runs\2016 book runs\chapte
Beginning Time: 11:41:55
Ending Time: 11:42:08
Elapsed Time: 00:00:13
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