Mplus VERSION 7.4
MUTHEN & MUTHEN
06/02/2016 8:27 PM
INPUT INSTRUCTIONS
Title:
Clinical Trials data
M (intent) original 4-category mediator version
data:
file = 4cat m.dat;
variable:
names = intent tx ciguse w;
usev = tx ciguse intent;
categorical = ciguse intent;
freqweight = w;
Analysis:
estimator = wlsmv;
bootstrap = 1000;
model:
ciguse on tx intent;
intent on tx;
model indirect: ciguse ind intent tx;
output:
tech1 tech8 sampstat patterns cinterval(bootstrap);
plot:
type = plot3;
*** WARNING in OUTPUT command
PATTERNS option is available only when there are missing data.
Request for PATTERNS is ignored.
*** WARNING in OUTPUT command
TECH8 option is available only with analysis types MIXTURE, RANDOM, or
TWOLEVEL with estimators ML, MLF, or MLR or ALGORITHM=INTEGRATION.
Request for TECH8 is ignored.
2 WARNING(S) FOUND IN THE INPUT INSTRUCTIONS
Clinical Trials data
M (intent) original 4-category mediator version
SUMMARY OF ANALYSIS
Number of groups 1
Number of observations 864
Number of patterns 16
Number of dependent variables 2
Number of independent variables 1
Number of continuous latent variables 0
Observed dependent variables
Binary and ordered categorical (ordinal)
CIGUSE INTENT
Observed independent variables
TX
Variables with special functions
Weight variable W
Estimator WLSMV
Maximum number of iterations 1000
Convergence criterion 0.500D-04
Maximum number of steepest descent iterations 20
Number of bootstrap draws
Requested 1000
Completed 1000
Parameterization DELTA
Input data file(s)
4cat m.dat
Input data format FREE
UNIVARIATE PROPORTIONS AND COUNTS FOR CATEGORICAL VARIABLES
CIGUSE
Category 1 0.819 708.000
Category 2 0.181 156.000
INTENT
Category 1 0.745 644.000
Category 2 0.119 103.000
Category 3 0.069 60.000
Category 4 0.066 57.000
SAMPLE STATISTICS
ESTIMATED SAMPLE STATISTICS
MEANS/INTERCEPTS/THRESHOLDS
CIGUSE$1 INTENT$1 INTENT$2 INTENT$3
________ ________ ________ ________
1 0.760 0.525 0.970 1.378
SLOPES
TX
________
CIGUSE -0.285
INTENT -0.246
CORRELATION MATRIX (WITH VARIANCES ON THE DIAGONAL)
CIGUSE INTENT
________ ________
CIGUSE
INTENT 0.631
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
TX 0.571 -0.285 0.000 50.00% 0.000 0.000 0.500
16.000 0.245 -1.919 1.000 50.00% 1.000 1.000
THE MODEL ESTIMATION TERMINATED NORMALLY
MODEL FIT INFORMATION
Number of Free Parameters 7
Chi-Square Test of Model Fit
Value 0.000*
Degrees of Freedom 0
P-Value 0.0000
* The chi-square value for MLM, MLMV, MLR, ULSMV, WLSM and WLSMV cannot be used
for chi-square difference testing in the regular way. MLM, MLR and WLSM
chi-square difference testing is described on the Mplus website. MLMV, WLSMV,
and ULSMV difference testing is done using the DIFFTEST option.
RMSEA (Root Mean Square Error Of Approximation)
Estimate 0.000
90 Percent C.I. 0.000 0.000
Probability RMSEA <= .05 0.000
CFI/TLI
CFI 1.000
TLI 1.000
Chi-Square Test of Model Fit for the Baseline Model
Value 244.141
Degrees of Freedom 3
P-Value 0.0000
WRMR (Weighted Root Mean Square Residual)
Value 0.002
MODEL RESULTS
Two-Tailed
Estimate S.E. Est./S.E. P-Value
CIGUSE ON
TX -0.131 0.089 -1.464 0.143
INTENT 0.631 0.041 15.257 0.000
INTENT ON
TX -0.246 0.088 -2.789 0.005
Thresholds
CIGUSE$1 0.760 0.073 10.466 0.000
INTENT$1 0.525 0.066 7.914 0.000
INTENT$2 0.970 0.072 13.426 0.000
INTENT$3 1.378 0.081 17.037 0.000
R-SQUARE
Observed Residual
Variable Estimate Variance
CIGUSE 0.410 0.602
INTENT 0.015 1.000
TOTAL, TOTAL INDIRECT, SPECIFIC INDIRECT, AND DIRECT EFFECTS FOR LATENT RESPONSE VARIABLES
Two-Tailed
Estimate S.E. Est./S.E. P-Value
Effects from TX to CIGUSE
Indirect -0.155 0.056 -2.778 0.005
Direct effect -0.131 0.089 -1.464 0.143
TOTAL, INDIRECT, AND DIRECT EFFECTS BASED ON COUNTERFACTUALS (CAUSALLY-DEFINED EFFECTS)
Two-Tailed
Estimate S.E. Est./S.E. P-Value
Effects from TX to CIGUSE
Tot natural IE -0.030 0.011 -2.641 0.008
Pure natural DE -0.046 0.024 -1.857 0.063
Total effect -0.076 0.026 -2.890 0.004
Odds ratios for binary Y
Tot natural IE 0.801 0.066 12.113 0.000
Pure natural DE 0.753 0.119 6.345 0.000
Total effect 0.603 0.108 5.568 0.000
Other effects
Pure natural IE -0.033 0.012 -2.765 0.006
Tot natural DE -0.043 0.023 -1.907 0.057
Total effect -0.076 0.026 -2.890 0.004
Odds ratios for other effects for binary Y
Pure natural IE 0.820 0.058 14.029 0.000
Tot natural DE 0.735 0.122 6.030 0.000
Total effect 0.603 0.108 5.568 0.000
CONFIDENCE INTERVALS OF MODEL RESULTS
Lower .5% Lower 2.5% Lower 5% Estimate Upper 5% Upper 2.5% Upper .5%
CIGUSE ON
TX -0.360 -0.305 -0.269 -0.131 0.021 0.047 0.099
INTENT 0.516 0.544 0.559 0.631 0.695 0.704 0.730
INTENT ON
TX -0.477 -0.418 -0.394 -0.246 -0.097 -0.074 -0.026
Thresholds
CIGUSE$1 0.594 0.628 0.650 0.760 0.887 0.909 0.956
INTENT$1 0.348 0.395 0.418 0.525 0.638 0.659 0.708
INTENT$2 0.794 0.836 0.861 0.970 1.095 1.114 1.159
INTENT$3 1.184 1.235 1.256 1.378 1.524 1.554 1.603
CONFIDENCE INTERVALS OF TOTAL, TOTAL INDIRECT, SPECIFIC INDIRECT, AND DIRECT EFFECTS FOR LATENT RESPONSE VARIABLES
Lower .5% Lower 2.5% Lower 5% Estimate Upper 5% Upper 2.5% Upper .5%
Effects from TX to CIGUSE
Indirect -0.298 -0.268 -0.247 -0.155 -0.062 -0.045 -0.017
Direct effect -0.360 -0.305 -0.269 -0.131 0.021 0.047 0.099
CONFIDENCE INTERVALS OF TOTAL, INDIRECT, AND DIRECT EFFECTS BASED ON COUNTERFACTUALS (CAUSALLY-DEFINED EFFECTS)
Lower .5% Lower 2.5% Lower 5% Estimate Upper 5% Upper 2.5% Upper .5%
Effects from TX to CIGUSE
Tot natural IE -0.060 -0.054 -0.049 -0.030 -0.012 -0.009 -0.003
Pure natural DE -0.107 -0.091 -0.085 -0.046 -0.002 0.005 0.017
Total effect -0.144 -0.126 -0.118 -0.076 -0.030 -0.023 -0.010
Odds ratios for binary Y
Tot natural IE 0.641 0.679 0.698 0.801 0.915 0.937 0.976
Pure natural DE 0.502 0.559 0.588 0.753 0.987 1.031 1.113
Total effect 0.381 0.432 0.453 0.603 0.815 0.861 0.936
Other effects
Pure natural IE -0.066 -0.056 -0.052 -0.033 -0.013 -0.010 -0.004
Tot natural DE -0.100 -0.087 -0.080 -0.043 -0.003 0.003 0.015
Total effect -0.144 -0.126 -0.118 -0.076 -0.030 -0.023 -0.010
Odds ratios for other effects for binary Y
Pure natural IE 0.685 0.714 0.729 0.820 0.923 0.942 0.978
Tot natural DE 0.483 0.541 0.565 0.735 0.980 1.024 1.109
Total effect 0.381 0.432 0.453 0.603 0.815 0.861 0.936
TECHNICAL 1 OUTPUT
PARAMETER SPECIFICATION
TAU
CIGUSE$1 INTENT$1 INTENT$2 INTENT$3
________ ________ ________ ________
1 1 2 3 4
NU
CIGUSE INTENT
________ ________
1 0 0
LAMBDA
CIGUSE INTENT
________ ________
CIGUSE 0 0
INTENT 0 0
ALPHA
CIGUSE INTENT
________ ________
1 0 0
BETA
CIGUSE INTENT
________ ________
CIGUSE 0 5
INTENT 0 0
GAMMA
TX
________
CIGUSE 6
INTENT 7
PSI
CIGUSE INTENT
________ ________
CIGUSE 0
INTENT 0 0
STARTING VALUES
TAU
CIGUSE$1 INTENT$1 INTENT$2 INTENT$3
________ ________ ________ ________
1 0.913 0.660 1.101 1.506
NU
CIGUSE INTENT
________ ________
1 0.000 0.000
LAMBDA
CIGUSE INTENT
________ ________
CIGUSE 1.000 0.000
INTENT 0.000 1.000
ALPHA
CIGUSE INTENT
________ ________
1 0.000 0.000
BETA
CIGUSE INTENT
________ ________
CIGUSE 0.000 0.000
INTENT 0.000 0.000
GAMMA
TX
________
CIGUSE 0.000
INTENT 0.000
PSI
CIGUSE INTENT
________ ________
CIGUSE 1.000
INTENT 0.000 1.000
PLOT INFORMATION
The following plots are available:
Histograms (sample values, estimated values, residuals)
Scatterplots (sample values, estimated values, residuals)
Sample proportions and estimated probabilities
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\gryphon\desktop\chapter8\ex8.29_a2.dgm
Beginning Time: 20:27:29
Ending Time: 20:27:34
Elapsed Time: 00:00:05
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