Mplus VERSION 7.4
MUTHEN & MUTHEN
06/01/2016   7:26 PM

INPUT INSTRUCTIONS

  data:
      file = n500mix00xreplist.dat;
      type = montecarlo;

  Variable:
      names = y m tx x;
      missing = all(999);

      usev = y m tx x missing;

      categorical = missing;

  define:
      if(y EQ _MISSING) THEN missing = 1 ELSE missing = 0;

  Analysis:
      estimator = mlr;
      integration = montecarlo;
      mconv = 0.00001;

  Model:
      y on m*1 tx*0 x*0;
      y*.75;
      m on tx*-.5 x*.5;
      m*.5;
      [y-m*0];
      missing on y*2;
      [missing$1*.75];

  model indirect:
      y IND tx;



INPUT READING TERMINATED NORMALLY




SUMMARY OF ANALYSIS

Number of groups                                                 1
Average number of observations                                 500

Number of replications
    Requested                                                  500
    Completed                                                  500

Number of dependent variables                                    3
Number of independent variables                                  2
Number of continuous latent variables                            0

Observed dependent variables

  Continuous
   Y           M

  Binary and ordered categorical (ordinal)
   MISSING

Observed independent variables
   TX          X


Estimator                                                      MLR
Information matrix                                        OBSERVED
Optimization Specifications for the Quasi-Newton Algorithm for
Continuous Outcomes
  Maximum number of iterations                                 100
  Convergence criterion                                  0.100D-05
Optimization Specifications for the EM Algorithm
  Maximum number of iterations                                 500
  Convergence criteria
    Loglikelihood change                                 0.100D-02
    Relative loglikelihood change                        0.100D-05
    Derivative                                           0.100D-04
Optimization Specifications for the M step of the EM Algorithm for
Categorical Latent variables
  Number of M step iterations                                    1
  M step convergence criterion                           0.100D-02
  Basis for M step termination                           ITERATION
Optimization Specifications for the M step of the EM Algorithm for
Censored, Binary or Ordered Categorical (Ordinal), Unordered
Categorical (Nominal) and Count Outcomes
  Number of M step iterations                                    1
  M step convergence criterion                           0.100D-02
  Basis for M step termination                           ITERATION
  Maximum value for logit thresholds                            15
  Minimum value for logit thresholds                           -15
  Minimum expected cell size for chi-square              0.100D-01
Maximum number of iterations for H1                           2000
Convergence criterion for H1                             0.100D-03
Optimization algorithm                                         EMA
Integration Specifications
  Type                                                  MONTECARLO
  Number of integration points                                 250
  Dimensions of numerical integration                            1
  Adaptive quadrature                                           ON
  Monte Carlo integration seed                                   0
Link                                                         LOGIT
Cholesky                                                       OFF

Input data file(s)
  Multiple data files from
    n500mix00xreplist.dat
Input data format  FREE


SUMMARY OF DATA FOR THE FIRST REPLICATION

     Number of missing data patterns             2
     Number of y missing data patterns           2
     Number of u missing data patterns           1


SUMMARY OF MISSING DATA PATTERNS FOR THE FIRST REPLICATION


     MISSING DATA PATTERNS FOR Y (x = not missing)

           1  2
 Y         x
 M         x  x
 TX        x  x
 X         x  x


     MISSING DATA PATTERN FREQUENCIES FOR Y

    Pattern   Frequency     Pattern   Frequency
          1         319           2         181


COVARIANCE COVERAGE OF DATA FOR THE FIRST REPLICATION

Minimum covariance coverage value   0.100


     PROPORTION OF DATA PRESENT FOR Y


           Covariance Coverage
              Y             M             TX            X
              ________      ________      ________      ________
 Y              0.638
 M              0.638         1.000
 TX             0.638         1.000         1.000
 X              0.638         1.000         1.000         1.000


UNIVARIATE PROPORTIONS FOR CATEGORICAL VARIABLES FOR THE FIRST REPLICATION

    MISSING
      Category 1    0.638
      Category 2    0.362


SAMPLE STATISTICS

NOTE:  These are average results over 500 data sets.


     SAMPLE STATISTICS


           Means
              Y             M             TX            X
              ________      ________      ________      ________
 1             -0.249        -0.249         0.500         0.002


           Covariances
              Y             M             TX            X
              ________      ________      ________      ________
 Y              1.563
 M              0.812         0.812
 TX            -0.126        -0.124         0.249
 X              0.500         0.501         0.001         1.001


           Correlations
              Y             M             TX            X
              ________      ________      ________      ________
 Y              1.000
 M              0.721         1.000
 TX            -0.202        -0.277         1.000
 X              0.399         0.556         0.001         1.000




MODEL FIT INFORMATION

Number of Free Parameters                       11

Loglikelihood

    H0 Value

        Mean                             -1180.425
        Std Dev                             23.173
        Number of successful computations      500

             Proportions                   Percentiles
        Expected    Observed         Expected       Observed
           0.990       0.994        -1234.332      -1233.706
           0.980       0.982        -1228.015      -1226.821
           0.950       0.948        -1218.542      -1219.052
           0.900       0.900        -1210.123      -1210.605
           0.800       0.790        -1199.927      -1200.597
           0.700       0.690        -1192.577      -1193.410
           0.500       0.486        -1180.425      -1181.610
           0.300       0.304        -1168.273      -1167.798
           0.200       0.206        -1160.922      -1160.401
           0.100       0.110        -1150.726      -1149.800
           0.050       0.050        -1142.307      -1142.436
           0.020       0.022        -1132.834      -1132.451
           0.010       0.008        -1126.517      -1127.971

Information Criteria

    Akaike (AIC)

        Mean                              2382.849
        Std Dev                             46.346
        Number of successful computations      500

             Proportions                   Percentiles
        Expected    Observed         Expected       Observed
           0.990       0.992         2275.034       2276.427
           0.980       0.978         2287.668       2284.023
           0.950       0.950         2306.614       2306.515
           0.900       0.890         2323.452       2318.850
           0.800       0.794         2343.844       2340.682
           0.700       0.696         2358.545       2357.567
           0.500       0.514         2382.849       2384.913
           0.300       0.310         2407.153       2408.645
           0.200       0.210         2421.854       2422.991
           0.100       0.100         2442.246       2442.188
           0.050       0.052         2459.084       2460.048
           0.020       0.018         2478.030       2474.993
           0.010       0.006         2490.664       2487.779

    Bayesian (BIC)

        Mean                              2429.210
        Std Dev                             46.346
        Number of successful computations      500

             Proportions                   Percentiles
        Expected    Observed         Expected       Observed
           0.990       0.992         2321.395       2322.788
           0.980       0.978         2334.029       2330.384
           0.950       0.950         2352.975       2352.876
           0.900       0.890         2369.812       2365.211
           0.800       0.794         2390.205       2387.042
           0.700       0.696         2404.906       2403.928
           0.500       0.514         2429.210       2431.274
           0.300       0.310         2453.514       2455.006
           0.200       0.210         2468.215       2469.352
           0.100       0.100         2488.607       2488.548
           0.050       0.052         2505.445       2506.408
           0.020       0.018         2524.391       2521.353
           0.010       0.006         2537.025       2534.140

    Sample-Size Adjusted BIC (n* = (n + 2) / 24)

        Mean                              2394.295
        Std Dev                             46.346
        Number of successful computations      500

             Proportions                   Percentiles
        Expected    Observed         Expected       Observed
           0.990       0.992         2286.480       2287.873
           0.980       0.978         2299.114       2295.469
           0.950       0.950         2318.060       2317.961
           0.900       0.890         2334.898       2330.296
           0.800       0.794         2355.290       2352.128
           0.700       0.696         2369.991       2369.013
           0.500       0.514         2394.295       2396.359
           0.300       0.310         2418.599       2420.091
           0.200       0.210         2433.300       2434.437
           0.100       0.100         2453.692       2453.634
           0.050       0.052         2470.530       2471.494
           0.020       0.018         2489.476       2486.439
           0.010       0.006         2502.110       2499.225



MODEL RESULTS

                              ESTIMATES              S. E.     M. S. E.  95%  % Sig
                 Population   Average   Std. Dev.   Average             Cover Coeff
 Y          ON
  M                   1.000     1.3233     0.0783     0.0763     0.1106 0.004 1.000
  TX                  0.000    -0.0125     0.0994     0.1048     0.0100 0.964 0.036
  X                   0.000     0.0020     0.0617     0.0606     0.0038 0.950 0.050

 M          ON
  TX                 -0.500    -0.5000     0.0653     0.0631     0.0043 0.936 1.000
  X                   0.500     0.5008     0.0315     0.0315     0.0010 0.952 1.000

 MISSING    ON
  Y                   2.000     1.9290     0.2311     0.2287     0.0583 0.908 1.000

 Intercepts
  Y                   0.000     0.4810     0.0823     0.0860     0.2381 0.000 1.000
  M                   0.000     0.0010     0.0462     0.0447     0.0021 0.944 0.056

 Thresholds
  MISSING$1           0.750     1.6704     0.2718     0.2643     0.9210 0.010 1.000

 Residual Variances
  Y                   0.750     0.9234     0.0809     0.0826     0.0366 0.448 1.000
  M                   0.500     0.4966     0.0316     0.0311     0.0010 0.946 1.000


QUALITY OF NUMERICAL RESULTS

     Average Condition Number for the Information Matrix      0.315E-02
       (ratio of smallest to largest eigenvalue)


TOTAL, TOTAL INDIRECT, SPECIFIC INDIRECT, AND DIRECT EFFECTS


                              ESTIMATES              S. E.     M. S. E.  95%  % Sig
                 Population   Average   Std. Dev.   Average             Cover Coeff

Effects from TX to Y

  Total              -0.500    -0.6742     0.1284     0.1306     0.0468 0.712 1.000
  Tot indirect       -0.500    -0.6617     0.0946     0.0912     0.0351 0.560 1.000

 Specific indirect

  Y
  M
  TX                 -0.500    -0.6617     0.0946     0.0912     0.0351 0.560 1.000

 Direct
  Y
  TX                  0.000    -0.0125     0.0994     0.1048     0.0100 0.964 0.036



TECHNICAL 1 OUTPUT


     PARAMETER SPECIFICATION


           TAU
              MISSING$
              ________
 1                 11


           NU
              MISSING       Y             M             TX            X
              ________      ________      ________      ________      ________
 1                  0             0             0             0             0


           LAMBDA
              MISSING       Y             M             TX            X
              ________      ________      ________      ________      ________
 MISSING            0             0             0             0             0
 Y                  0             0             0             0             0
 M                  0             0             0             0             0
 TX                 0             0             0             0             0
 X                  0             0             0             0             0


           THETA
              MISSING       Y             M             TX            X
              ________      ________      ________      ________      ________
 MISSING            0
 Y                  0             0
 M                  0             0             0
 TX                 0             0             0             0
 X                  0             0             0             0             0


           ALPHA
              MISSING       Y             M             TX            X
              ________      ________      ________      ________      ________
 1                  0             1             2             0             0


           BETA
              MISSING       Y             M             TX            X
              ________      ________      ________      ________      ________
 MISSING            0             3             0             0             0
 Y                  0             0             4             5             6
 M                  0             0             0             7             8
 TX                 0             0             0             0             0
 X                  0             0             0             0             0


           PSI
              MISSING       Y             M             TX            X
              ________      ________      ________      ________      ________
 MISSING            0
 Y                  0             9
 M                  0             0            10
 TX                 0             0             0             0
 X                  0             0             0             0             0


     STARTING VALUES


           TAU
              MISSING$
              ________
 1              0.750


           NU
              MISSING       Y             M             TX            X
              ________      ________      ________      ________      ________
 1              0.000         0.000         0.000         0.000         0.000


           LAMBDA
              MISSING       Y             M             TX            X
              ________      ________      ________      ________      ________
 MISSING        1.000         0.000         0.000         0.000         0.000
 Y              0.000         1.000         0.000         0.000         0.000
 M              0.000         0.000         1.000         0.000         0.000
 TX             0.000         0.000         0.000         1.000         0.000
 X              0.000         0.000         0.000         0.000         1.000


           THETA
              MISSING       Y             M             TX            X
              ________      ________      ________      ________      ________
 MISSING        0.000
 Y              0.000         0.000
 M              0.000         0.000         0.000
 TX             0.000         0.000         0.000         0.000
 X              0.000         0.000         0.000         0.000         0.000


           ALPHA
              MISSING       Y             M             TX            X
              ________      ________      ________      ________      ________
 1              0.000         0.000         0.000         0.000         0.000


           BETA
              MISSING       Y             M             TX            X
              ________      ________      ________      ________      ________
 MISSING        0.000         2.000         0.000         0.000         0.000
 Y              0.000         0.000         1.000         0.000         0.000
 M              0.000         0.000         0.000        -0.500         0.500
 TX             0.000         0.000         0.000         0.000         0.000
 X              0.000         0.000         0.000         0.000         0.000


           PSI
              MISSING       Y             M             TX            X
              ________      ________      ________      ________      ________
 MISSING        1.000
 Y              0.000         0.750
 M              0.000         0.000         0.500
 TX             0.000         0.000         0.000         0.500
 X              0.000         0.000         0.000         0.000         0.500


DIAGRAM INFORMATION

  Mplus diagrams are currently not available for Monte Carlo analysis.
  No diagram output was produced.


     Beginning Time:  19:26:29
        Ending Time:  19:49:36
       Elapsed Time:  00:23:07



MUTHEN & MUTHEN
3463 Stoner Ave.
Los Angeles, CA  90066

Tel: (310) 391-9971
Fax: (310) 391-8971
Web: www.StatModel.com
Support: Support@StatModel.com

Copyright (c) 1998-2015 Muthen & Muthen

Back to examples