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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