Mplus VERSION 8.3
MUTHEN & MUTHEN
10/07/2021  11:38 AM

INPUT INSTRUCTIONS

  TITLE: Final Model to Get Scoring Parameters
  DATA: FILE =
   "C:/Users/colev/Dropbox/aMNLFA_12212017/UMNfix_082021/aMNLFA/inst/extdata/calibration.dat
  VARIABLE:
  NAMES = ID BIN_1 BIN_2 BIN_3 BIN_4 BIN_5 BIN_6 BIN_7 BIN_8 BIN_9 BIN_10 BIN_11
       BIN_12 AGE GENDER STUDY;
  MISSING=.;
  !
  !
  !
  USEVARIABLES= BIN_1 BIN_2 BIN_3 BIN_4 BIN_5 BIN_6 BIN_7 BIN_8 BIN_9 BIN_10 BIN_11 BIN_12
   GENDER STUDY AGE;
  ! ;
  CATEGORICAL= BIN_1 BIN_2 BIN_3 BIN_4 BIN_5 BIN_6 BIN_7 BIN_8 BIN_9 BIN_10 BIN_11 BIN_12 ;
  !
  CONSTRAINT= STUDY ;
  ANALYSIS: ESTIMATOR=ML;ALGORITHM=INTEGRATION;INTEGRATION=MONTECARLO;PROCESSORS=4;
  MODEL: [ETA@0];ETA*(veta);
  ETA BY BIN_1*(l_1);
  ETA BY BIN_2*(l_2);
  ETA BY BIN_3*(l_3);
  ETA BY BIN_4*(l_4);
  ETA BY BIN_5*(l_5);
  ETA BY BIN_6*(l_6);
  ETA BY BIN_7*(l_7);
  ETA BY BIN_8*(l_8);
  ETA BY BIN_9*(l_9);
  ETA BY BIN_10*(l_10);
  ETA BY BIN_11*(l_11);
  ETA BY BIN_12*(l_12);
  ETA ON AGE; ETA ON STUDY;
  !

  BIN_2 on GENDER STUDY;


  BIN_3 on GENDER STUDY;



  !




  BIN_5 on GENDER STUDY;





  !






  !







  BIN_8 on STUDY;








  !









  !










  !











  !
  MODEL CONSTRAINT: new(
  !
  ! !
  ! !
  ! !
  ! !
  ! !
  ! !
  ! !
  l8_0*1   l8_3*0
  ! !
  ! !
  ! !
  ! !
  );
  veta=1*exp(
  0);
  ! !;
  ! !;
  ! !;
  ! !;
  ! !;
  ! !;
  ! !;
  l_8=l8_0 +l8_3*STUDY;
  ! !;
  ! !;
  ! !;
  ! !;



*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
   "C:/Users/colev/Dropbox/aMNLFA_12212017/UMNfix_082021/aMNLFA/inst/extdata/calibration.dat"
*** WARNING in DATA command
  Statement not terminated by a semicolon:
  FILE = "C:/Users/colev/Dropbox/aMNLFA_12212017/UMNfix_082021/aMNLFA/inst/extdata/calibration.dat"
   2 WARNING(S) FOUND IN THE INPUT INSTRUCTIONS



Final Model to Get Scoring Parameters

SUMMARY OF ANALYSIS

Number of groups                                                 1
Number of observations                                         500

Number of dependent variables                                   12
Number of independent variables                                  3
Number of continuous latent variables                            1

Observed dependent variables

  Binary and ordered categorical (ordinal)
   BIN_1       BIN_2       BIN_3       BIN_4       BIN_5       BIN_6
   BIN_7       BIN_8       BIN_9       BIN_10      BIN_11      BIN_12

Observed independent variables
   GENDER      STUDY       AGE

Continuous latent variables
   ETA


Estimator                                                       ML
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-02
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                                1000
  Dimensions of numerical integration                            1
  Adaptive quadrature                                           ON
  Monte Carlo integration seed                                   0
Link                                                         LOGIT
Cholesky                                                        ON

Input data file(s)
  C:/Users/colev/Dropbox/aMNLFA_12212017/UMNfix_082021/aMNLFA/inst/extdata/calib
Input data format  FREE


SUMMARY OF DATA

     Number of missing data patterns             1
     Number of y missing data patterns           0
     Number of u missing data patterns           1


COVARIANCE COVERAGE OF DATA

Minimum covariance coverage value   0.100


UNIVARIATE PROPORTIONS AND COUNTS FOR CATEGORICAL VARIABLES

    BIN_1
      Category 1    0.634          317.000
      Category 2    0.366          183.000
    BIN_2
      Category 1    0.670          335.000
      Category 2    0.330          165.000
    BIN_3
      Category 1    0.638          319.000
      Category 2    0.362          181.000
    BIN_4
      Category 1    0.738          369.000
      Category 2    0.262          131.000
    BIN_5
      Category 1    0.740          370.000
      Category 2    0.260          130.000
    BIN_6
      Category 1    0.810          405.000
      Category 2    0.190           95.000
    BIN_7
      Category 1    0.588          294.000
      Category 2    0.412          206.000
    BIN_8
      Category 1    0.678          339.000
      Category 2    0.322          161.000
    BIN_9
      Category 1    0.698          349.000
      Category 2    0.302          151.000
    BIN_10
      Category 1    0.726          363.000
      Category 2    0.274          137.000
    BIN_11
      Category 1    0.758          379.000
      Category 2    0.242          121.000
    BIN_12
      Category 1    0.790          395.000
      Category 2    0.210          105.000



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

     GENDER                0.024      -0.048      -1.000   48.80%      -1.000     -1.000      1.000
             500.000       0.999      -1.998       1.000   51.20%       1.000      1.000
     STUDY                 0.000       0.000      -1.000   50.00%      -1.000     -1.000      0.000
             500.000       1.000      -2.000       1.000   50.00%       1.000      1.000
     AGE                  -0.302       0.223      -4.000    0.60%      -2.000     -1.000      0.000
             500.000       2.183      -0.195       4.000    0.60%       0.000      1.000


THE MODEL ESTIMATION TERMINATED NORMALLY



MODEL FIT INFORMATION

Number of Free Parameters                       34

Loglikelihood

          H0 Value                       -2740.955

Information Criteria

          Akaike (AIC)                    5549.910
          Bayesian (BIC)                  5693.207
          Sample-Size Adjusted BIC        5585.289
            (n* = (n + 2) / 24)



MODEL RESULTS

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

 ETA      BY
    BIN_1              0.832      0.117      7.106      0.000
    BIN_2              1.412      0.182      7.772      0.000
    BIN_3              1.172      0.183      6.416      0.000
    BIN_4              1.938      0.242      8.014      0.000
    BIN_5              1.914      0.261      7.339      0.000
    BIN_6              1.990      0.263      7.555      0.000
    BIN_7              0.733      0.109      6.715      0.000
    BIN_8            999.000      0.000    999.000    999.000
    BIN_9              1.248      0.156      7.981      0.000
    BIN_10             1.483      0.184      8.066      0.000
    BIN_11             1.991      0.250      7.965      0.000
    BIN_12             2.189      0.290      7.558      0.000

 ETA        ON
    AGE                0.502      0.047     10.718      0.000
    STUDY              0.623      0.070      8.934      0.000

 BIN_2      ON
    GENDER            -1.040      0.158     -6.593      0.000
    STUDY              0.891      0.153      5.833      0.000

 BIN_3      ON
    GENDER             1.012      0.155      6.527      0.000
    STUDY              1.502      0.173      8.701      0.000

 BIN_5      ON
    GENDER            -1.286      0.201     -6.414      0.000
    STUDY              1.482      0.216      6.856      0.000

 BIN_8      ON
    STUDY              0.090      0.133      0.674      0.500

 Intercepts
    ETA                0.000      0.000    999.000    999.000

 Thresholds
    BIN_1$1            0.541      0.110      4.935      0.000
    BIN_2$1            0.973      0.151      6.424      0.000
    BIN_3$1            1.208      0.183      6.615      0.000
    BIN_4$1            1.592      0.201      7.907      0.000
    BIN_5$1            1.947      0.241      8.072      0.000
    BIN_6$1            2.350      0.261      9.004      0.000
    BIN_7$1            0.306      0.104      2.943      0.003
    BIN_8$1            0.814      0.139      5.875      0.000
    BIN_9$1            0.999      0.137      7.278      0.000
    BIN_10$1           1.282      0.160      8.030      0.000
    BIN_11$1           1.809      0.218      8.296      0.000
    BIN_12$1           2.271      0.269      8.440      0.000

 Residual Variances
    ETA                1.000      0.000    999.000    999.000

New/Additional Parameters
    L8_0               1.256      0.175      7.161      0.000
    L8_3              -0.558      0.172     -3.235      0.001


LOGISTIC REGRESSION ODDS RATIO RESULTS

                                         (Est. - 1) Two-Tailed
                    Estimate       S.E.     / S.E.    P-Value

 BIN_2      ON
    GENDER             0.354      0.056    -11.593      0.000
    STUDY              2.439      0.373      3.860      0.000

 BIN_3      ON
    GENDER             2.751      0.427      4.105      0.000
    STUDY              4.489      0.775      4.504      0.000

 BIN_5      ON
    GENDER             0.276      0.055    -13.060      0.000
    STUDY              4.403      0.952      3.575      0.000

 BIN_8      ON
    STUDY              1.094      0.145      0.645      0.519


QUALITY OF NUMERICAL RESULTS

     Condition Number for the Information Matrix              0.106E-02
       (ratio of smallest to largest eigenvalue)


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\colev\dropbox\amnlfa_12212017\umnfix_082021\amnlfa\inst\extdata\round3calibration.dgm

     Beginning Time:  11:38:26
        Ending Time:  11:40:15
       Elapsed Time:  00:01:49



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