Mplus VERSION 7.3
MUTHEN & MUTHEN
09/22/2014   5:49 PM

INPUT INSTRUCTIONS

  TITLE:	this is an example of a growth model for a
  	continuous outcome with estimated time
  	scores
  DATA:	FILE IS ex6.8.dat;
  VARIABLE:	NAMES ARE y11-y14;
  MODEL:	i s | y11@0 y12@1 y13*2 y14*3;



INPUT READING TERMINATED NORMALLY



this is an example of a growth model for a
continuous outcome with estimated time
scores

SUMMARY OF ANALYSIS

Number of groups                                                 1
Number of observations                                         500

Number of dependent variables                                    4
Number of independent variables                                  0
Number of continuous latent variables                            2

Observed dependent variables

  Continuous
   Y11         Y12         Y13         Y14

Continuous latent variables
   I           S


Estimator                                                       ML
Information matrix                                        OBSERVED
Maximum number of iterations                                  1000
Convergence criterion                                    0.500D-04
Maximum number of steepest descent iterations                   20

Input data file(s)
  ex6.8.dat

Input data format  FREE



THE MODEL ESTIMATION TERMINATED NORMALLY



MODEL FIT INFORMATION

Number of Free Parameters                       11

Loglikelihood

          H0 Value                       -3016.249
          H1 Value                       -3014.089

Information Criteria

          Akaike (AIC)                    6054.498
          Bayesian (BIC)                  6100.859
          Sample-Size Adjusted BIC        6065.944
            (n* = (n + 2) / 24)

Chi-Square Test of Model Fit

          Value                              4.319
          Degrees of Freedom                     3
          P-Value                           0.2290

RMSEA (Root Mean Square Error Of Approximation)

          Estimate                           0.030
          90 Percent C.I.                    0.000  0.086
          Probability RMSEA <= .05           0.648

CFI/TLI

          CFI                                0.999
          TLI                                0.998

Chi-Square Test of Model Fit for the Baseline Model

          Value                           1439.722
          Degrees of Freedom                     6
          P-Value                           0.0000

SRMR (Standardized Root Mean Square Residual)

          Value                              0.009



MODEL RESULTS

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

 I        |
    Y11                1.000      0.000    999.000    999.000
    Y12                1.000      0.000    999.000    999.000
    Y13                1.000      0.000    999.000    999.000
    Y14                1.000      0.000    999.000    999.000

 S        |
    Y11                0.000      0.000    999.000    999.000
    Y12                1.000      0.000    999.000    999.000
    Y13                1.973      0.067     29.618      0.000
    Y14                2.946      0.103     28.615      0.000

 S        WITH
    I                  0.133      0.033      4.022      0.000

 Means
    I                  0.514      0.054      9.566      0.000
    S                  1.046      0.047     22.444      0.000

 Intercepts
    Y11                0.000      0.000    999.000    999.000
    Y12                0.000      0.000    999.000    999.000
    Y13                0.000      0.000    999.000    999.000
    Y14                0.000      0.000    999.000    999.000

 Variances
    I                  0.988      0.089     11.125      0.000
    S                  0.232      0.029      8.088      0.000

 Residual Variances
    Y11                0.471      0.059      7.985      0.000
    Y12                0.482      0.040     11.990      0.000
    Y13                0.471      0.048      9.899      0.000
    Y14                0.552      0.085      6.488      0.000


QUALITY OF NUMERICAL RESULTS

     Condition Number for the Information Matrix              0.364E-01
       (ratio of smallest to largest eigenvalue)


     Beginning Time:  17:49:23
        Ending Time:  17:49:23
       Elapsed Time:  00:00:00



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