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Mplus VERSION 8.7 (Mac)
MUTHEN & MUTHEN
05/20/2024 3:47 PM
INPUT INSTRUCTIONS
TITLE:
Multinomial regression brand on female;
DATA:
FILE = "/Users/nkpiz/IMMERSE_Day-5/basic_3.dat";
VARIABLE:
NAMES = brand female age;
MISSING=.;
usevar = brand female;
Nominal are brand;
ANALYSIS:
estimator = MLR;
MODEL:
brand#1 on female* -0.38299 (femCvN);
brand#2 on female* -0.13628 (femKvN);
[brand#1*0.16508] (intCvN);
[brand#2*0.23841] (intKvN);
MODEL CONSTRAINT:
New(femCvK efemCvK);
femCvK = femCvN-femKvN;
efemCvK = exp(femCvk);
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_3.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
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
New/Additional Parameters
FEMCVK -0.519 0.186 -2.797 0.005
EFEMCVK 0.595 0.110 5.386 0.000
QUALITY OF NUMERICAL RESULTS
Condition Number for the Information Matrix 0.276E-02
(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
Beginning Time: 15:47:44
Ending Time: 15:47:44
Elapsed Time: 00:00:00
MUTHEN & MUTHEN
3463 Stoner Ave.
Los Angeles, CA 90066
Tel: (310) 391-9971
Fax: (310) 391-8971
Web: www.StatModel.com
Support: Support@StatModel.com
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