Mplus VERSION 7.4
MUTHEN & MUTHEN
04/02/2016   2:14 PM

INPUT INSTRUCTIONS

    TITLE:  Regressing math10 on math7

    DATA:
        FILE = dropout.dat;
        FORMAT = 11f8 6f8.2 1f8 2f8.2 10f2;

    VARIABLE:
        NAMES ARE id school gender mothed fathed fathsei ethnic expect
                pacpush pmpush homeres
                 math7 math8 math9 math10 math11 math12 problem esteem mathatt
                 clocatn dlocatn elocatn flocatn glocatn hlocatn ilocatn jlocatn
                klocatn llocatn;
        MISSING = mothed (8) fathed (8)  fathsei (996 998)
                  ethnic (8) homeres (98) math7-math12 (996 998);
        IDVARIABLE = id;
        USEVAR = math7 math10 mothed male;

        constraint = math7;

    Define:
        male = gender - 1;

    Analysis:
      starts = 10;
      processors = 8;
      bootstrap = 1000;

    MODEL:
        math10 ON math7 mothed male;
        math10 (resvar);

  model constraint:
      new(a b);
      resvar = exp(a+b*math7);

    OUTPUT:
        tech8 SAMPSTAT cinterval(bootstrap);

    Plot:
        TYPE = PLOT3;



*** 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.
*** WARNING
  Data set contains cases with missing on x-variables.
  These cases were not included in the analysis.
  Number of cases with missing on x-variables:  149
*** WARNING
  Data set contains cases with missing on all variables except
  x-variables.  These cases were not included in the analysis.
  Number of cases with missing on all variables except x-variables:  998
   3 WARNING(S) FOUND IN THE INPUT INSTRUCTIONS



Regressing math10 on math7

SUMMARY OF ANALYSIS

Number of groups                                                 1
Number of observations                                        1969

Number of dependent variables                                    1
Number of independent variables                                  3
Number of continuous latent variables                            0

Observed dependent variables

  Continuous
   MATH10

Observed independent variables
   MATH7       MOTHED      MALE

Variables with special functions

  ID variable           ID

Estimator                                                       ML
Information matrix                                        OBSERVED
Maximum number of iterations                                  1000
Convergence criterion                                    0.500D-04
Maximum number of steepest descent iterations                   20
Maximum number of iterations for H1                           2000
Convergence criterion for H1                             0.100D-03
Number of bootstrap draws
    Requested                                                 1000
    Completed                                                 1000
Random Starts Specifications
  Number of random starts                                       10
  Random starts scale                                    0.500D+01

Input data file(s)
  dropout.dat

Input data format
  (11F8 6F8.2 1F8 2F8.2 10F2)


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
              MATH10        MATH7         MOTHED        MALE
              ________      ________      ________      ________
 MATH10         1.000
 MATH7          1.000         1.000
 MOTHED         1.000         1.000         1.000
 MALE           1.000         1.000         1.000         1.000


SAMPLE STATISTICS


     ESTIMATED SAMPLE STATISTICS


           Means
              MATH10        MATH7         MOTHED        MALE
              ________      ________      ________      ________
      1        63.682        51.603         2.364         0.500


           Covariances
              MATH10        MATH7         MOTHED        MALE
              ________      ________      ________      ________
 MATH10       186.139
 MATH7        109.112       103.136
 MOTHED         4.119         2.995         1.035
 MALE          -0.151        -0.317         0.028         0.250


           Correlations
              MATH10        MATH7         MOTHED        MALE
              ________      ________      ________      ________
 MATH10         1.000
 MATH7          0.787         1.000
 MOTHED         0.297         0.290         1.000
 MALE          -0.022        -0.063         0.055         1.000


     MAXIMUM LOG-LIKELIHOOD VALUE FOR THE UNRESTRICTED (H1) MODEL IS -18490.720


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

     MATH10               63.682      -0.330      30.490    0.05%      51.520     61.940     65.440
            1969.000     186.139      -0.451      95.170    0.25%      68.600     75.330
     MATH7                51.603       0.046      27.560    0.05%      42.110     48.800     51.910
            1969.000     103.136      -0.616      85.020    0.05%      54.540     60.740
     MOTHED                2.364       1.073       1.000   12.75%       2.000      2.000      2.000
            1969.000       1.035       0.514       5.000    4.98%       2.000      3.000
     MALE                  0.500       0.001       0.000   50.03%       0.000      0.000      0.000
            1969.000       0.250      -2.000       1.000   49.97%       1.000      1.000


RANDOM STARTS RESULTS RANKED FROM THE BEST TO THE WORST FIT FUNCTION VALUES

Fit function values at local maxima and random start numbers:

          36808.0278         3
          36808.0278         2
          36808.0278         9
          36808.0278         10
          36808.0278         8
          36808.0278         unperturbed
          36808.0278         5
          36808.0278         6
          36808.0278         7
          36808.0278         1
          36808.0278         4



MODEL FIT INFORMATION

Number of Free Parameters                        6

Loglikelihood

          H0 Value                       -6885.089

Information Criteria

          Akaike (AIC)                   13782.177
          Bayesian (BIC)                 13815.689
          Sample-Size Adjusted BIC       13796.626
            (n* = (n + 2) / 24)



MODEL RESULTS

                                                    Two-Tailed
                    Estimate       S.E.  Est./S.E.    P-Value

 MATH10   ON
    MATH7              1.017      0.019     52.786      0.000
    MOTHED             0.872      0.171      5.098      0.000
    MALE               0.822      0.361      2.279      0.023

 Intercepts
    MATH10             8.759      1.038      8.438      0.000

 Residual Variances
    MATH10           999.000      0.000    999.000    999.000

New/Additional Parameters
    A                  6.379      0.185     34.483      0.000
    B                 -0.043      0.004    -11.878      0.000


CONFIDENCE INTERVALS OF MODEL RESULTS

                  Lower .5%  Lower 2.5%    Lower 5%    Estimate    Upper 5%  Upper 2.5%   Upper .5%

 MATH10   ON
    MATH7            0.968       0.981       0.986       1.017       1.050       1.058       1.066
    MOTHED           0.395       0.529       0.579       0.872       1.148       1.192       1.264
    MALE            -0.015       0.115       0.215       0.822       1.426       1.514       1.688

 Intercepts
    MATH10           5.967       6.664       7.061       8.759      10.444      10.804      11.379

 Residual Variances
    MATH10         999.000     999.000     999.000     999.000     999.000     999.000     999.000

New/Additional Parameters
    A                5.874       6.020       6.086       6.379       6.704       6.761       6.887
    B               -0.054      -0.051      -0.050      -0.043      -0.037      -0.036      -0.034


PLOT INFORMATION

The following plots are available:

  Histograms (sample values)
  Scatterplots (sample values)
  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\regression\random coe

     Beginning Time:  14:14:49
        Ending Time:  14:36:35
       Elapsed Time:  00:21:46



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