Mplus VERSION 7.11 MUTHEN & MUTHEN 01/20/2014 6:22 PM INPUT INSTRUCTIONS TITLE: Kapitel 6, Abschnitt 6.5, Modell essentiell tau-paralleler Variablen für die sechs logarithmierten Reaktionszeitvariablen, Maximum-Likelihood-Schätzung Schätzung der Personenwerte (factor scores) !Einlesen der Daten DATA: FILE IS daten-kapitel-6.dat; VARIABLE: !Variablen im Datensatz NAMES ARE gender item1-item6; !Variablen in der Analyse USEVARIABLES ARE item1-item6; !Code für fehlende Werte MISSING ARE ALL (-999); ANALYSIS: !Maximum-Likelihood-Schätzung TYPE IS general; ESTIMATOR IS ML; ITERATIONS = 1000; CONVERGENCE = 0.00005; Model: !Definition des Modells, erste Ladung durch Voreinstellung auf 1 fixiert; !weitere Ladungen auf 1 fixiert mit @1 eta by item1 item2@1 item3@1 item4@1 item5@1 item6@1; ! Gleichsetzung der Fehlervarianzen item1-item6 (fvar); !Anforderung der Faktorwertkoeffizienten (fscoefficient) und der Korrelation der geschätzt ! Personenwerte (Faktorwerte) und der latenten Variablen eta (fsdeterminacy) OUTPUT: fscoefficient fsdeterminacy; ! Anforderung der factor scores. Diese werden in die Datei ! file is ess-tau-eq-fs.dat geschrieben mit Standardfehlern und ! den Werten der beobachteten Variablen savedata: file is ess-tau-par-fs.dat; save = fscores; *** WARNING Input line exceeded 90 characters. Some input may be truncated. !Anforderung der Faktorwertkoeffizienten (fscoefficient) und der Korrelation der geschätzte 1 WARNING(S) FOUND IN THE INPUT INSTRUCTIONS Kapitel 6, Abschnitt 6.5, Modell essentiell tau-paralleler Variablen für die sechs logarithmierten Reaktionszeitvariablen, Maximum-Likelihood-Schätzung Schätzung der Personenwerte (factor scores) SUMMARY OF ANALYSIS Number of groups 1 Number of observations 238 Number of dependent variables 6 Number of independent variables 0 Number of continuous latent variables 1 Observed dependent variables Continuous ITEM1 ITEM2 ITEM3 ITEM4 ITEM5 ITEM6 Continuous latent variables ETA Estimator ML Information matrix OBSERVED 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 Input data file(s) daten-kapitel-6.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 ITEM1 ITEM2 ITEM3 ITEM4 ITEM5 ________ ________ ________ ________ ________ ITEM1 1.000 ITEM2 1.000 1.000 ITEM3 1.000 1.000 1.000 ITEM4 1.000 1.000 1.000 1.000 ITEM5 1.000 1.000 1.000 1.000 1.000 ITEM6 1.000 1.000 1.000 1.000 1.000 Covariance Coverage ITEM6 ________ ITEM6 1.000 THE MODEL ESTIMATION TERMINATED NORMALLY MODEL FIT INFORMATION Number of Free Parameters 8 Loglikelihood H0 Value -437.339 H1 Value -427.396 Information Criteria Akaike (AIC) 890.677 Bayesian (BIC) 918.455 Sample-Size Adjusted BIC 893.098 (n* = (n + 2) / 24) Chi-Square Test of Model Fit Value 19.886 Degrees of Freedom 19 P-Value 0.4015 RMSEA (Root Mean Square Error Of Approximation) Estimate 0.014 90 Percent C.I. 0.000 0.059 Probability RMSEA <= .05 0.884 CFI/TLI CFI 0.998 TLI 0.998 Chi-Square Test of Model Fit for the Baseline Model Value 435.847 Degrees of Freedom 15 P-Value 0.0000 SRMR (Standardized Root Mean Square Residual) Value 0.088 MODEL RESULTS Two-Tailed Estimate S.E. Est./S.E. P-Value ETA BY ITEM1 1.000 0.000 999.000 999.000 ITEM2 1.000 0.000 999.000 999.000 ITEM3 1.000 0.000 999.000 999.000 ITEM4 1.000 0.000 999.000 999.000 ITEM5 1.000 0.000 999.000 999.000 ITEM6 1.000 0.000 999.000 999.000 Intercepts ITEM1 1.504 0.025 60.923 0.000 ITEM2 1.423 0.025 57.637 0.000 ITEM3 1.392 0.025 56.392 0.000 ITEM4 1.305 0.025 52.849 0.000 ITEM5 1.346 0.025 54.537 0.000 ITEM6 1.306 0.025 52.890 0.000 Variances ETA 0.064 0.007 9.001 0.000 Residual Variances ITEM1 0.081 0.003 24.393 0.000 ITEM2 0.081 0.003 24.393 0.000 ITEM3 0.081 0.003 24.393 0.000 ITEM4 0.081 0.003 24.393 0.000 ITEM5 0.081 0.003 24.393 0.000 ITEM6 0.081 0.003 24.393 0.000 QUALITY OF NUMERICAL RESULTS Condition Number for the Information Matrix 0.552E-02 (ratio of smallest to largest eigenvalue) SUMMARY OF FACTOR SCORES FACTOR SCORE INFORMATION (COMPLETE-DATA PATTERN) FACTOR SCORE COEFFICIENTS ITEM1 ITEM2 ITEM3 ITEM4 ITEM5 ________ ________ ________ ________ ________ ETA 0.138 0.138 0.138 0.138 0.138 FACTOR SCORE COEFFICIENTS ITEM6 ________ ETA 0.138 POSTERIOR COVARIANCE MATRIX FOR ESTIMATED FACTOR SCORES (SQUARED S.E.S ON THE DIAGONAL) ETA ________ ETA 0.011 FACTOR DETERMINACIES ETA 0.910 SAMPLE STATISTICS FOR ESTIMATED FACTOR SCORES SAMPLE STATISTICS Means ETA ETA_SE ________ ________ 1 0.000 0.105 Covariances ETA ETA_SE ________ ________ ETA 0.053 ETA_SE 0.000 0.000 Correlations ETA ETA_SE ________ ________ ETA 1.000 ETA_SE 999.000 1.000 SAVEDATA INFORMATION Save file ess-tau-par-fs.dat Order and format of variables ITEM1 F10.3 ITEM2 F10.3 ITEM3 F10.3 ITEM4 F10.3 ITEM5 F10.3 ITEM6 F10.3 ETA F10.3 ETA_SE F10.3 Save file format 8F10.3 Save file record length 10000 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\eid\documents\lehrbuch-testtheorie\kapitel\kapitel 6 - ktt\daten\lehrbuch\essentiell-ta Beginning Time: 18:22:39 Ending Time: 18:22:39 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) 1998-2013 Muthen & Muthen