basic.out

Mplus VERSION 8.7 (Mac)
MUTHEN & MUTHEN
05/20/2024   3:34 PM

INPUT INSTRUCTIONS

  TITLE:
  Multinomial regression brand on female;
  DATA:
  FILE = "/Users/nkpiz/IMMERSE_Day-5/basic.dat";

  VARIABLE:
  NAMES = brand female age;
   MISSING=.;
   usevar = brand female;
   Nominal are brand;
  ANALYSIS:
  estimator = MLR;
  MODEL:
  brand on female;
  OUTPUT:
  sampstat crosstabs residual cinterval tech1 svalues;



INPUT READING TERMINATED NORMALLY




Multinomial regression brand on female;

SUMMARY OF ANALYSIS

Number of groups                                                 1
Number of observations                                         735

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

Observed dependent variables

  Unordered categorical (nominal)
   BRAND

Observed independent variables
   FEMALE


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-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                                                    STANDARD
  Number of integration points                                  15
  Dimensions of numerical integration                            0
  Adaptive quadrature                                           ON
Cholesky                                                       OFF

Input data file(s)
  /Users/nkpiz/IMMERSE_Day-5/basic.dat
Input data format  FREE


SUMMARY OF DATA



COVARIANCE COVERAGE OF DATA

Minimum covariance coverage value   0.100


UNIVARIATE PROPORTIONS AND COUNTS FOR CATEGORICAL VARIABLES

    BRAND
      Category 1    0.282          207.000
      Category 2    0.418          307.000
      Category 3    0.301          221.000



CROSSTABS FOR CATEGORICAL VARIABLES



SAMPLE STATISTICS


     SAMPLE STATISTICS


           Means
              FEMALE
              ________
                0.634


           Covariances
              FEMALE
              ________
 FEMALE         0.232


           Correlations
              FEMALE
              ________
 FEMALE         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

     FEMALE                0.634      -0.556       0.000   36.60%       0.000      1.000      1.000
             735.000       0.232      -1.690       1.000   63.40%       1.000      1.000


THE MODEL ESTIMATION TERMINATED NORMALLY



MODEL FIT INFORMATION

Number of Free Parameters                        4

Loglikelihood

          H0 Value                        -791.861
          H0 Scaling Correction Factor      1.0000
            for MLR

Information Criteria

          Akaike (AIC)                    1591.723
          Bayesian (BIC)                  1610.122
          Sample-Size Adjusted BIC        1597.421
            (n* = (n + 2) / 24)



MODEL RESULTS

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

 BRAND#1    ON
    FEMALE            -0.383      0.198     -1.930      0.054

 BRAND#2    ON
    FEMALE             0.136      0.186      0.731      0.465

 Intercepts
    BRAND#1            0.165      0.154      1.073      0.283
    BRAND#2            0.238      0.151      1.575      0.115


QUALITY OF NUMERICAL RESULTS

     Condition Number for the Information Matrix              0.328E-01
       (ratio of smallest to largest eigenvalue)


LOGISTIC REGRESSION ODDS RATIO RESULTS

                                                95% C.I.
                    Estimate       S.E.  Lower 2.5% Upper 2.5%

 BRAND#1    ON
    FEMALE             0.682      0.135      0.462      1.006

 BRAND#2    ON
    FEMALE             1.146      0.214      0.795      1.651


CONFIDENCE INTERVALS OF MODEL RESULTS

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

 BRAND#1  ON
    FEMALE          -0.894      -0.772      -0.709      -0.383      -0.057       0.006       0.128

 BRAND#2  ON
    FEMALE          -0.344      -0.229      -0.170       0.136       0.443       0.502       0.616

 Intercepts
    BRAND#1         -0.231      -0.137      -0.088       0.165       0.418       0.467       0.562
    BRAND#2         -0.152      -0.058      -0.011       0.238       0.487       0.535       0.628


CONFIDENCE INTERVALS FOR THE LOGISTIC REGRESSION ODDS RATIO RESULTS

 BRAND#1  ON
    FEMALE           0.409       0.462       0.492       0.682       0.945       1.006       1.137

 BRAND#2  ON
    FEMALE           0.709       0.795       0.843       1.146       1.557       1.651       1.852


MODEL COMMAND WITH FINAL ESTIMATES USED AS STARTING VALUES

     brand#1 ON female*-0.38299;
     brand#2 ON female*0.13628;

     [ brand#1*0.16508 ];
     [ brand#2*0.23841 ];



RESIDUAL OUTPUT


     RESIDUAL OUTPUT IS NOT AVAILABLE FOR THIS MODEL.  ADDITIONAL OUTPUT FOR
     CATEGORICAL, COUNT, AND NOMINAL VARIABLES MAY BE AVAILABLE USING TECH10.


TECHNICAL 1 OUTPUT


     PARAMETER SPECIFICATION


           NU
              BRAND#1       BRAND#2       FEMALE
              ________      ________      ________
                    0             0             0


           LAMBDA
              BRAND#1       BRAND#2       FEMALE
              ________      ________      ________
 BRAND#1            0             0             0
 BRAND#2            0             0             0
 FEMALE             0             0             0


           THETA
              BRAND#1       BRAND#2       FEMALE
              ________      ________      ________
 BRAND#1            0
 BRAND#2            0             0
 FEMALE             0             0             0


           ALPHA
              BRAND#1       BRAND#2       FEMALE
              ________      ________      ________
                    1             2             0


           BETA
              BRAND#1       BRAND#2       FEMALE
              ________      ________      ________
 BRAND#1            0             0             3
 BRAND#2            0             0             4
 FEMALE             0             0             0


           PSI
              BRAND#1       BRAND#2       FEMALE
              ________      ________      ________
 BRAND#1            0
 BRAND#2            0             0
 FEMALE             0             0             0


     STARTING VALUES


           NU
              BRAND#1       BRAND#2       FEMALE
              ________      ________      ________
                0.000         0.000         0.000


           LAMBDA
              BRAND#1       BRAND#2       FEMALE
              ________      ________      ________
 BRAND#1        1.000         0.000         0.000
 BRAND#2        0.000         1.000         0.000
 FEMALE         0.000         0.000         1.000


           THETA
              BRAND#1       BRAND#2       FEMALE
              ________      ________      ________
 BRAND#1        0.000
 BRAND#2        0.000         0.000
 FEMALE         0.000         0.000         0.000


           ALPHA
              BRAND#1       BRAND#2       FEMALE
              ________      ________      ________
               -0.065         0.329         0.000


           BETA
              BRAND#1       BRAND#2       FEMALE
              ________      ________      ________
 BRAND#1        0.000         0.000         0.000
 BRAND#2        0.000         0.000         0.000
 FEMALE         0.000         0.000         0.000


           PSI
              BRAND#1       BRAND#2       FEMALE
              ________      ________      ________
 BRAND#1        0.000
 BRAND#2        0.000         0.000
 FEMALE         0.000         0.000         0.116


     Beginning Time:  15:34:44
        Ending Time:  15:34:44
       Elapsed Time:  00:00:00



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