Mplus VERSION 8.10
MUTHEN & MUTHEN
09/01/2023 9:54 AM

OUTPUT SECTIONS


INPUT INSTRUCTIONS

  TITLE:  002_Linear_growht_curve_model

  DATA:
  FILE IS data.dat;
  LISTWISE = ON;

  VARIABLE:
  NAMES ARE
  id female pdu1 ace1 worry1
  lone1 lone2 lone3 lone4 lone5
  anx1 anx2 anx3 anx4 anx5
  dep1 dep2 dep3 dep4 dep5
  host1 host2 host3 host4 host5
  percon5 percon5b subs5 subs5b sleep5 sleep5b;

  USEVARIABLES ARE
         lone1 lone2 lone3 lone4 lone5;

  MISSING ARE ALL (-999);

  ANALYSIS:
      ESTIMATOR = ML;

  MODEL:
      I S|lone1@0 lone2@1 lone3@3 lone4@4 lone5@6;

  OUTPUT:
      SAMPSTAT;

  PLOT:
      TYPE = PLOT3;
      SERIES = lone1 - lone5(S);







INPUT READING TERMINATED NORMALLY



002_Linear_growht_curve_model

SUMMARY OF ANALYSIS

Number of groups                                                 1
Number of observations                                         321

Number of dependent variables                                    5
Number of independent variables                                  0
Number of continuous latent variables                            2

Observed dependent variables

  Continuous
   LONE1       LONE2       LONE3       LONE4       LONE5

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)
  data.dat

Input data format  FREE


SAMPLE STATISTICS


     SAMPLE STATISTICS


           Means
              LONE1         LONE2         LONE3         LONE4         LONE5
              ________      ________      ________      ________      ________
                1.443         1.455         1.523         1.333         1.307


           Covariances
              LONE1         LONE2         LONE3         LONE4         LONE5
              ________      ________      ________      ________      ________
 LONE1          0.182
 LONE2          0.131         0.253
 LONE3          0.099         0.136         0.261
 LONE4          0.058         0.083         0.100         0.173
 LONE5          0.040         0.064         0.074         0.058         0.121


           Correlations
              LONE1         LONE2         LONE3         LONE4         LONE5
              ________      ________      ________      ________      ________
 LONE1          1.000
 LONE2          0.613         1.000
 LONE3          0.452         0.527         1.000
 LONE4          0.325         0.397         0.468         1.000
 LONE5          0.269         0.369         0.418         0.399         1.000


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

     LONE1                 1.443       1.618       1.000    7.17%       1.100      1.233      1.320
             321.000       0.182       2.948       3.367    0.31%       1.437      1.693
     LONE2                 1.455       2.529       1.000    8.10%       1.100      1.223      1.307
             321.000       0.253       9.733       5.000    0.31%       1.387      1.740
     LONE3                 1.523       1.521       1.000    9.35%       1.113      1.257      1.363
             321.000       0.261       2.349       3.783    0.31%       1.480      1.890
     LONE4                 1.333       2.713       1.000   15.26%       1.027      1.167      1.227
             321.000       0.173       9.009       3.543    0.31%       1.283      1.490
     LONE5                 1.307       2.323       1.000   13.40%       1.027      1.157      1.213
             321.000       0.121       7.256       3.427    0.31%       1.283      1.473


THE MODEL ESTIMATION TERMINATED NORMALLY



MODEL FIT INFORMATION

Number of Free Parameters                       10

Loglikelihood

          H0 Value                        -759.040
          H1 Value                        -721.418

Information Criteria

          Akaike (AIC)                    1538.080
          Bayesian (BIC)                  1575.795
          Sample-Size Adjusted BIC        1544.076
            (n* = (n + 2) / 24)

Chi-Square Test of Model Fit

          Value                             75.244
          Degrees of Freedom                    10
          P-Value                           0.0000

RMSEA (Root Mean Square Error Of Approximation)

          Estimate                           0.143
          90 Percent C.I.                    0.113  0.174
          Probability RMSEA <= .05           0.000

CFI/TLI

          CFI                                0.852
          TLI                                0.852

Chi-Square Test of Model Fit for the Baseline Model

          Value                            451.170
          Degrees of Freedom                    10
          P-Value                           0.0000

SRMR (Standardized Root Mean Square Residual)

          Value                              0.088



MODEL RESULTS

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

 I        |
    LONE1              1.000      0.000    999.000    999.000
    LONE2              1.000      0.000    999.000    999.000
    LONE3              1.000      0.000    999.000    999.000
    LONE4              1.000      0.000    999.000    999.000
    LONE5              1.000      0.000    999.000    999.000

 S        |
    LONE1              0.000      0.000    999.000    999.000
    LONE2              1.000      0.000    999.000    999.000
    LONE3              3.000      0.000    999.000    999.000
    LONE4              4.000      0.000    999.000    999.000
    LONE5              6.000      0.000    999.000    999.000

 S        WITH
    I                 -0.015      0.002     -6.414      0.000

 Means
    I                  1.466      0.024     61.503      0.000
    S                 -0.025      0.004     -5.731      0.000

 Intercepts
    LONE1              0.000      0.000    999.000    999.000
    LONE2              0.000      0.000    999.000    999.000
    LONE3              0.000      0.000    999.000    999.000
    LONE4              0.000      0.000    999.000    999.000
    LONE5              0.000      0.000    999.000    999.000

 Variances
    I                  0.139      0.014      9.599      0.000
    S                  0.003      0.001      5.889      0.000

 Residual Variances
    LONE1              0.059      0.010      5.717      0.000
    LONE2              0.114      0.011     10.028      0.000
    LONE3              0.172      0.015     11.547      0.000
    LONE4              0.114      0.010     10.950      0.000
    LONE5              0.047      0.009      5.087      0.000


QUALITY OF NUMERICAL RESULTS

     Condition Number for the Information Matrix              0.858E-04
       (ratio of smallest to largest eigenvalue)


SAMPLE STATISTICS FOR ESTIMATED FACTOR SCORES


     SAMPLE STATISTICS


           Means
              I             I_SE          S             S_SE
              ________      ________      ________      ________
                1.466         0.170        -0.025         0.037


           Covariances
              I             I_SE          S             S_SE
              ________      ________      ________      ________
 I              0.110
 I_SE           0.000         0.000
 S             -0.011         0.000         0.002
 S_SE           0.000         0.000         0.000         0.000


           Correlations
              I             I_SE          S             S_SE
              ________      ________      ________      ________
 I              1.000
 I_SE         999.000         1.000
 S             -0.724       999.000         1.000
 S_SE         999.000       999.000       999.000         1.000


PLOT INFORMATION

The following plots are available:

  Histograms (sample values, estimated factor scores, estimated values, residuals)
  Scatterplots (sample values, estimated factor scores, estimated values, residuals)
  Sample means
  Estimated means
  Sample and estimated means
  Latent variable distribution plots
  Observed individual values
  Estimated individual values

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
    m:\quant_resources\0000 workshops\000_nov_ntnu\001_lgcm_and_its_extensions\002_linear_growht_curve_model.dgm

     Beginning Time:  09:54:55
        Ending Time:  09:54:56
       Elapsed Time:  00:00:01



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