Mplus VERSION 7 (Mac) MUTHEN & MUTHEN 05/28/2015 4:42 PM INPUT INSTRUCTIONS DATA: FILE IS data_IQ.dat; VARIABLE: NAMES ARE IQscore ; ANALYSIS: ESTIMATOR IS ML; MODEL: [IQscore]; IQscore; OUTPUT: STAND; cinterval; PLOT: TYPE IS PLOT3; *** WARNING in MODEL command All variables are uncorrelated with all other variables in the model. Check that this is what is intended. 1 WARNING(S) FOUND IN THE INPUT INSTRUCTIONS SUMMARY OF ANALYSIS Number of groups 1 Number of observations 20 Number of dependent variables 1 Number of independent variables 0 Number of continuous latent variables 0 Observed dependent variables Continuous IQSCORE 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_IQ.dat Input data format FREE THE MODEL ESTIMATION TERMINATED NORMALLY MODEL FIT INFORMATION Number of Free Parameters 2 Loglikelihood H0 Value -82.540 H1 Value -82.540 Information Criteria Akaike (AIC) 169.080 Bayesian (BIC) 171.071 Sample-Size Adjusted BIC 164.906 (n* = (n + 2) / 24) Chi-Square Test of Model Fit Value 0.000 Degrees of Freedom 0 P-Value 0.0000 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 0.000 TLI 1.000 Chi-Square Test of Model Fit for the Baseline Model Value 0.000 Degrees of Freedom 0 P-Value 0.0000 SRMR (Standardized Root Mean Square Residual) Value 0.000 MODEL RESULTS Two-Tailed Estimate S.E. Est./S.E. P-Value Means IQSCORE 102.000 3.354 30.411 0.000 Variances IQSCORE 225.000 71.151 3.162 0.002 STANDARDIZED MODEL RESULTS STDYX Standardization Two-Tailed Estimate S.E. Est./S.E. P-Value Means IQSCORE 6.800 1.098 6.192 0.000 Variances IQSCORE 1.000 0.000 999.000 999.000 STDY Standardization Two-Tailed Estimate S.E. Est./S.E. P-Value Means IQSCORE 6.800 1.098 6.192 0.000 Variances IQSCORE 1.000 0.000 999.000 999.000 STD Standardization Two-Tailed Estimate S.E. Est./S.E. P-Value Means IQSCORE 102.000 3.354 30.411 0.000 Variances IQSCORE 225.000 71.151 3.162 0.002 R-SQUARE QUALITY OF NUMERICAL RESULTS Condition Number for the Information Matrix 0.108E-01 (ratio of smallest to largest eigenvalue) CONFIDENCE INTERVALS OF MODEL RESULTS Lower .5% Lower 2.5% Lower 5% Estimate Upper 5% Upper 2.5% Upper .5% Means IQSCORE 93.361 95.426 96.483 102.000 107.518 108.574 110.640 Variances IQSCORE 41.729 85.544 107.956 225.000 342.044 364.456 408.271 CONFIDENCE INTERVALS OF STANDARDIZED MODEL RESULTS STDYX Standardization Lower .5% Lower 2.5% Lower 5% Estimate Upper 5% Upper 2.5% Upper .5% Means IQSCORE 3.971 4.648 4.993 6.800 8.607 8.952 9.629 Variances IQSCORE 1.000 1.000 1.000 1.000 1.000 1.000 1.000 STDY Standardization Lower .5% Lower 2.5% Lower 5% Estimate Upper 5% Upper 2.5% Upper .5% Means IQSCORE 3.971 4.648 4.993 6.800 8.607 8.952 9.629 Variances IQSCORE 1.000 1.000 1.000 1.000 1.000 1.000 1.000 STD Standardization Lower .5% Lower 2.5% Lower 5% Estimate Upper 5% Upper 2.5% Upper .5% Means IQSCORE 93.361 95.426 96.483 102.000 107.518 108.574 110.640 Variances IQSCORE 41.729 85.544 107.956 225.000 342.044 364.456 408.271 PLOT INFORMATION The following plots are available: Histograms of sample values Histograms of estimated values Scatterplots (sample values, estimated values) Beginning Time: 16:42:58 Ending Time: 16:42:58 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 Copyright (c) 1998-2012 Muthen & Muthen