Mplus VERSION 6.12
MUTHEN & MUTHEN
12/16/2011 7:45 PM
INPUT INSTRUCTIONS
TITLE:
Example 1 Regression Analysis
DATA:
FILE = 'example1.dat';
VARIABLE:
NAMES = sex mothperm datedbf;
MISSING = .;
USEOBSERVATIONS = sex==2;
USEVARIABLES = mothperm datedbf;
CATEGORICAL = datedbf;
MODEL:
datedbf ON mothperm;
*** WARNING
Data set contains cases with missing on all variables.
These cases were not included in the analysis.
Number of cases with missing on all variables: 6
*** WARNING
Data set contains cases with missing on x-variables.
These cases were not included in the analysis.
Number of cases with missing on x-variables: 174
*** WARNING
Data set contains cases with missing on all variables except
x-variables. These cases were not included in the analysis.
Number of cases with missing on all variables except x-variables: 17
3 WARNING(S) FOUND IN THE INPUT INSTRUCTIONS
Example 1 Regression Analysis
SUMMARY OF ANALYSIS
Number of groups 1
Number of observations 4188
Number of dependent variables 1
Number of independent variables 1
Number of continuous latent variables 0
Observed dependent variables
Binary and ordered categorical (ordinal)
DATEDBF
Observed independent variables
MOTHPERM
Estimator WLSMV
Maximum number of iterations 1000
Convergence criterion 0.500D-04
Maximum number of steepest descent iterations 20
Maximum number of iterations for H1 2000
Convergence criterion for H1 0.100D-03
Parameterization DELTA
Input data file(s)
example1.dat
Input data format FREE
SUMMARY OF DATA
Number of missing data patterns 1
COVARIANCE COVERAGE OF DATA
Minimum covariance coverage value 0.100
PROPORTION OF DATA PRESENT
Covariance Coverage
DATEDBF
________
DATEDBF 1.000
UNIVARIATE PROPORTIONS AND COUNTS FOR CATEGORICAL VARIABLES
DATEDBF
Category 1 0.506 2118.000
Category 2 0.494 2070.000
THE MODEL ESTIMATION TERMINATED NORMALLY
MODEL FIT INFORMATION
Number of Free Parameters 2
Chi-Square Test of Model Fit
Value 0.000*
Degrees of Freedom 0
P-Value 0.0000
* The chi-square value for MLM, MLMV, MLR, ULSMV, WLSM and WLSMV cannot be used
for chi-square difference testing in the regular way. MLM, MLR and WLSM
chi-square difference testing is described on the Mplus website. MLMV, WLSMV,
and ULSMV difference testing is done using the DIFFTEST option.
RMSEA (Root Mean Square Error Of Approximation)
Estimate 0.000
90 Percent C.I. 0.000 0.000
Probability RMSEA <= .05 0.000
CFI/TLI
CFI 1.000
TLI 1.000
Chi-Square Test of Model Fit for the Baseline Model
Value 33.644
Degrees of Freedom 1
P-Value 0.0000
WRMR (Weighted Root Mean Square Residual)
Value 0.009
MODEL RESULTS
Two-Tailed
Estimate S.E. Est./S.E. P-Value
DATEDBF ON
MOTHPERM -0.226 0.039 -5.805 0.000
Thresholds
DATEDBF$1 -0.332 0.063 -5.278 0.000
R-SQUARE
Observed Residual
Variable Estimate Variance
DATEDBF 0.013 1.000
QUALITY OF NUMERICAL RESULTS
Condition Number for the Information Matrix 0.383E+00
(ratio of smallest to largest eigenvalue)
Beginning Time: 19:45:42
Ending Time: 19:45:42
Elapsed Time: 00:00:00
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