Mplus VERSION 7.11 MUTHEN & MUTHEN 01/20/2014 11:18 PM INPUT INSTRUCTIONS TITLE: Kapitel 6, Abschnitt 6.6, Modell tau-kongenerischer Variablen für die sechs logarithmierten Reaktionszeitvariablen, robuste Maximum-Likelihood-Schätzung - Multigruppenvergleich - der hier spezifizierte Input macht sich die Voreinstellung von Mplus zunutze, indem kein Leichtigkeitsparameter fixiert wird, sondern der Erwartungswert von eta in der ersten Gruppe auf 0 fixiert wird, es ist eine Alternative zu dem im Buch von Eid und Schmidt (2014) vorgeschlagenen Vorgehen !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); ! Gruppierungsvariable grouping = gender (0 = female 1 = male); ANALYSIS: !Robustre Maximum-Likelihood-Schätzung (MLR) TYPE IS general; ESTIMATOR IS MLR; ITERATIONS = 1000; CONVERGENCE = 0.00005; Model: !Definition des Modells, erste Ladung durch Voreinstellung auf 1 fixiert; !weitere Ladungen frei geschätzt eta by item1-item6; !Anforderung der geschätzten Mittelwerte, Kovarianzen und Korrelationsn (sampstat), !der standardisierten Lösungen (stdyx) und der Konfidenzintervalle (cinterval) !und der vom Modell implizierten Kovarianzmatrix (residual) OUTPUT: sampstat stdyx cinterval residual; INPUT READING TERMINATED NORMALLY Kapitel 6, Abschnitt 6.6, Modell tau-kongenerischer Variablen für die sechs logarithmierten Reaktionszeitvariablen, robuste Maximum-Likelihood-Schätzung - Multigruppenvergleich - der hier spezifizierte Input macht sich die Voreinstellung von Mplus zunutze, indem kein Leichtigkeitsparameter fixiert wird, sondern der Erwartungswert von eta in der ersten Gruppe auf 0 fixiert wird, es ist eine Alternative zu dem im Buch von Eid und Schmidt (2014) vorgeschlagenen Vorgehen SUMMARY OF ANALYSIS Number of groups 2 Number of observations Group FEMALE 145 Group MALE 93 Total sample size 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 Variables with special functions Grouping variable GENDER Estimator MLR 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 Group FEMALE Number of missing data patterns 1 Group MALE Number of missing data patterns 1 COVARIANCE COVERAGE OF DATA Minimum covariance coverage value 0.100 PROPORTION OF DATA PRESENT FOR FEMALE 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 PROPORTION OF DATA PRESENT FOR MALE 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 SAMPLE STATISTICS ESTIMATED SAMPLE STATISTICS FOR FEMALE Means ITEM1 ITEM2 ITEM3 ITEM4 ITEM5 ________ ________ ________ ________ ________ 1 1.534 1.444 1.419 1.296 1.335 Means ITEM6 ________ 1 1.326 Covariances ITEM1 ITEM2 ITEM3 ITEM4 ITEM5 ________ ________ ________ ________ ________ ITEM1 0.121 ITEM2 0.060 0.135 ITEM3 0.051 0.055 0.151 ITEM4 0.060 0.060 0.076 0.136 ITEM5 0.029 0.050 0.057 0.052 0.125 ITEM6 0.048 0.053 0.060 0.068 0.043 Covariances ITEM6 ________ ITEM6 0.141 Correlations ITEM1 ITEM2 ITEM3 ITEM4 ITEM5 ________ ________ ________ ________ ________ ITEM1 1.000 ITEM2 0.470 1.000 ITEM3 0.373 0.387 1.000 ITEM4 0.465 0.445 0.527 1.000 ITEM5 0.235 0.389 0.412 0.401 1.000 ITEM6 0.368 0.386 0.409 0.493 0.324 Correlations ITEM6 ________ ITEM6 1.000 ESTIMATED SAMPLE STATISTICS FOR MALE Means ITEM1 ITEM2 ITEM3 ITEM4 ITEM5 ________ ________ ________ ________ ________ 1 1.458 1.391 1.350 1.319 1.363 Means ITEM6 ________ 1 1.275 Covariances ITEM1 ITEM2 ITEM3 ITEM4 ITEM5 ________ ________ ________ ________ ________ ITEM1 0.136 ITEM2 0.066 0.135 ITEM3 0.081 0.082 0.153 ITEM4 0.078 0.085 0.091 0.210 ITEM5 0.070 0.090 0.081 0.102 0.167 ITEM6 0.067 0.060 0.070 0.087 0.073 Covariances ITEM6 ________ ITEM6 0.152 Correlations ITEM1 ITEM2 ITEM3 ITEM4 ITEM5 ________ ________ ________ ________ ________ ITEM1 1.000 ITEM2 0.489 1.000 ITEM3 0.559 0.571 1.000 ITEM4 0.463 0.504 0.506 1.000 ITEM5 0.467 0.597 0.506 0.546 1.000 ITEM6 0.469 0.416 0.460 0.486 0.459 Correlations ITEM6 ________ ITEM6 1.000 MAXIMUM LOG-LIKELIHOOD VALUE FOR THE UNRESTRICTED (H1) MODEL IS -412.239 THE MODEL ESTIMATION TERMINATED NORMALLY MODEL FIT INFORMATION Number of Free Parameters 26 Loglikelihood H0 Value -426.017 H0 Scaling Correction Factor 1.1195 for MLR H1 Value -412.239 H1 Scaling Correction Factor 1.0796 for MLR Information Criteria Akaike (AIC) 904.034 Bayesian (BIC) 994.313 Sample-Size Adjusted BIC 911.901 (n* = (n + 2) / 24) Chi-Square Test of Model Fit Value 26.432* Degrees of Freedom 28 P-Value 0.5493 Scaling Correction Factor 1.0425 for MLR Chi-Square Contribution From Each Group FEMALE 13.705 MALE 12.727 * 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 0.066 Probability RMSEA <= .05 0.858 CFI/TLI CFI 1.000 TLI 1.004 Chi-Square Test of Model Fit for the Baseline Model Value 441.004 Degrees of Freedom 30 P-Value 0.0000 SRMR (Standardized Root Mean Square Residual) Value 0.049 MODEL RESULTS Two-Tailed Estimate S.E. Est./S.E. P-Value Group FEMALE ETA BY ITEM1 1.000 0.000 999.000 999.000 ITEM2 1.089 0.124 8.792 0.000 ITEM3 1.192 0.141 8.477 0.000 ITEM4 1.289 0.153 8.405 0.000 ITEM5 1.024 0.144 7.104 0.000 ITEM6 1.041 0.146 7.148 0.000 Means ETA 0.000 0.000 999.000 999.000 Intercepts ITEM1 1.515 0.026 59.383 0.000 ITEM2 1.435 0.027 52.816 0.000 ITEM3 1.405 0.029 48.608 0.000 ITEM4 1.312 0.030 43.619 0.000 ITEM5 1.359 0.027 51.115 0.000 ITEM6 1.319 0.028 47.516 0.000 Variances ETA 0.045 0.014 3.322 0.001 Residual Variances ITEM1 0.078 0.011 7.397 0.000 ITEM2 0.080 0.010 8.130 0.000 ITEM3 0.085 0.011 7.375 0.000 ITEM4 0.059 0.010 5.818 0.000 ITEM5 0.087 0.012 7.369 0.000 ITEM6 0.088 0.012 7.335 0.000 Group MALE ETA BY ITEM1 1.000 0.000 999.000 999.000 ITEM2 1.089 0.124 8.792 0.000 ITEM3 1.192 0.141 8.477 0.000 ITEM4 1.289 0.153 8.405 0.000 ITEM5 1.024 0.144 7.104 0.000 ITEM6 1.041 0.146 7.148 0.000 Means ETA -0.031 0.035 -0.894 0.371 Intercepts ITEM1 1.515 0.026 59.383 0.000 ITEM2 1.435 0.027 52.816 0.000 ITEM3 1.405 0.029 48.608 0.000 ITEM4 1.312 0.030 43.619 0.000 ITEM5 1.359 0.027 51.115 0.000 ITEM6 1.319 0.028 47.516 0.000 Variances ETA 0.064 0.021 3.114 0.002 Residual Variances ITEM1 0.072 0.011 6.692 0.000 ITEM2 0.061 0.014 4.393 0.000 ITEM3 0.067 0.014 4.962 0.000 ITEM4 0.109 0.019 5.631 0.000 ITEM5 0.085 0.016 5.153 0.000 ITEM6 0.091 0.015 6.164 0.000 STANDARDIZED MODEL RESULTS STDYX Standardization Two-Tailed Estimate S.E. Est./S.E. P-Value Group FEMALE ETA BY ITEM1 0.607 0.067 9.029 0.000 ITEM2 0.634 0.061 10.400 0.000 ITEM3 0.658 0.060 11.045 0.000 ITEM4 0.749 0.055 13.500 0.000 ITEM5 0.594 0.064 9.268 0.000 ITEM6 0.598 0.066 9.044 0.000 Means ETA 0.000 0.000 999.000 999.000 Intercepts ITEM1 4.320 0.302 14.303 0.000 ITEM2 3.924 0.264 14.857 0.000 ITEM3 3.641 0.239 15.209 0.000 ITEM4 3.580 0.285 12.579 0.000 ITEM5 3.702 0.251 14.750 0.000 ITEM6 3.561 0.234 15.219 0.000 Variances ETA 1.000 0.000 999.000 999.000 Residual Variances ITEM1 0.632 0.082 7.744 0.000 ITEM2 0.598 0.077 7.744 0.000 ITEM3 0.567 0.078 7.245 0.000 ITEM4 0.440 0.083 5.297 0.000 ITEM5 0.647 0.076 8.511 0.000 ITEM6 0.642 0.079 8.109 0.000 Group MALE ETA BY ITEM1 0.686 0.068 10.144 0.000 ITEM2 0.745 0.064 11.562 0.000 ITEM3 0.759 0.060 12.554 0.000 ITEM4 0.703 0.057 12.255 0.000 ITEM5 0.666 0.071 9.419 0.000 ITEM6 0.658 0.064 10.328 0.000 Means ETA -0.124 0.131 -0.941 0.347 Intercepts ITEM1 4.106 0.336 12.225 0.000 ITEM2 3.877 0.338 11.463 0.000 ITEM3 3.532 0.285 12.410 0.000 ITEM4 2.827 0.213 13.252 0.000 ITEM5 3.489 0.280 12.477 0.000 ITEM6 3.294 0.234 14.100 0.000 Variances ETA 1.000 0.000 999.000 999.000 Residual Variances ITEM1 0.529 0.093 5.706 0.000 ITEM2 0.445 0.096 4.639 0.000 ITEM3 0.424 0.092 4.617 0.000 ITEM4 0.506 0.081 6.265 0.000 ITEM5 0.557 0.094 5.921 0.000 ITEM6 0.566 0.084 6.747 0.000 R-SQUARE Group FEMALE Observed Two-Tailed Variable Estimate S.E. Est./S.E. P-Value ITEM1 0.368 0.082 4.514 0.000 ITEM2 0.402 0.077 5.200 0.000 ITEM3 0.433 0.078 5.523 0.000 ITEM4 0.560 0.083 6.750 0.000 ITEM5 0.353 0.076 4.634 0.000 ITEM6 0.358 0.079 4.522 0.000 Group MALE Observed Two-Tailed Variable Estimate S.E. Est./S.E. P-Value ITEM1 0.471 0.093 5.072 0.000 ITEM2 0.555 0.096 5.781 0.000 ITEM3 0.576 0.092 6.277 0.000 ITEM4 0.494 0.081 6.128 0.000 ITEM5 0.443 0.094 4.710 0.000 ITEM6 0.434 0.084 5.164 0.000 QUALITY OF NUMERICAL RESULTS Condition Number for the Information Matrix 0.733E-03 (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% Group FEMALE ETA BY ITEM1 1.000 1.000 1.000 1.000 1.000 1.000 1.000 ITEM2 0.770 0.846 0.885 1.089 1.293 1.332 1.408 ITEM3 0.830 0.917 0.961 1.192 1.424 1.468 1.555 ITEM4 0.894 0.988 1.037 1.289 1.541 1.589 1.684 ITEM5 0.653 0.742 0.787 1.024 1.261 1.307 1.395 ITEM6 0.666 0.755 0.801 1.041 1.280 1.326 1.416 Means ETA 0.000 0.000 0.000 0.000 0.000 0.000 0.000 Intercepts ITEM1 1.450 1.465 1.473 1.515 1.557 1.565 1.581 ITEM2 1.365 1.382 1.390 1.435 1.480 1.488 1.505 ITEM3 1.331 1.348 1.357 1.405 1.452 1.462 1.479 ITEM4 1.235 1.253 1.263 1.312 1.361 1.371 1.389 ITEM5 1.291 1.307 1.316 1.359 1.403 1.411 1.428 ITEM6 1.247 1.264 1.273 1.319 1.364 1.373 1.390 Variances ETA 0.010 0.019 0.023 0.045 0.068 0.072 0.080 Residual Variances ITEM1 0.051 0.057 0.060 0.078 0.095 0.098 0.105 ITEM2 0.055 0.061 0.064 0.080 0.096 0.099 0.105 ITEM3 0.055 0.062 0.066 0.085 0.103 0.107 0.114 ITEM4 0.033 0.039 0.042 0.059 0.076 0.079 0.085 ITEM5 0.057 0.064 0.068 0.087 0.107 0.110 0.118 ITEM6 0.057 0.065 0.068 0.088 0.108 0.112 0.119 Group MALE ETA BY ITEM1 1.000 1.000 1.000 1.000 1.000 1.000 1.000 ITEM2 0.770 0.846 0.885 1.089 1.293 1.332 1.408 ITEM3 0.830 0.917 0.961 1.192 1.424 1.468 1.555 ITEM4 0.894 0.988 1.037 1.289 1.541 1.589 1.684 ITEM5 0.653 0.742 0.787 1.024 1.261 1.307 1.395 ITEM6 0.666 0.755 0.801 1.041 1.280 1.326 1.416 Means ETA -0.121 -0.100 -0.089 -0.031 0.026 0.037 0.059 Intercepts ITEM1 1.450 1.465 1.473 1.515 1.557 1.565 1.581 ITEM2 1.365 1.382 1.390 1.435 1.480 1.488 1.505 ITEM3 1.331 1.348 1.357 1.405 1.452 1.462 1.479 ITEM4 1.235 1.253 1.263 1.312 1.361 1.371 1.389 ITEM5 1.291 1.307 1.316 1.359 1.403 1.411 1.428 ITEM6 1.247 1.264 1.273 1.319 1.364 1.373 1.390 Variances ETA 0.011 0.024 0.030 0.064 0.098 0.104 0.117 Residual Variances ITEM1 0.044 0.051 0.054 0.072 0.090 0.093 0.100 ITEM2 0.025 0.034 0.038 0.061 0.084 0.088 0.097 ITEM3 0.032 0.041 0.045 0.067 0.089 0.094 0.102 ITEM4 0.059 0.071 0.077 0.109 0.141 0.147 0.159 ITEM5 0.042 0.052 0.058 0.085 0.112 0.117 0.127 ITEM6 0.053 0.062 0.067 0.091 0.115 0.120 0.129 CONFIDENCE INTERVALS OF STANDARDIZED MODEL RESULTS STDYX Standardization Lower .5% Lower 2.5% Lower 5% Estimate Upper 5% Upper 2.5% Upper .5% Group FEMALE ETA BY ITEM1 0.434 0.475 0.496 0.607 0.717 0.739 0.780 ITEM2 0.477 0.514 0.534 0.634 0.734 0.753 0.791 ITEM3 0.504 0.541 0.560 0.658 0.756 0.774 0.811 ITEM4 0.606 0.640 0.657 0.749 0.840 0.857 0.891 ITEM5 0.429 0.468 0.488 0.594 0.699 0.719 0.759 ITEM6 0.428 0.469 0.490 0.598 0.707 0.728 0.769 Means ETA 0.000 0.000 0.000 0.000 0.000 0.000 0.000 Intercepts ITEM1 3.542 3.728 3.823 4.320 4.817 4.912 5.098 ITEM2 3.244 3.406 3.490 3.924 4.358 4.442 4.604 ITEM3 3.024 3.172 3.247 3.641 4.034 4.110 4.257 ITEM4 2.846 3.022 3.111 3.580 4.048 4.137 4.313 ITEM5 3.056 3.210 3.289 3.702 4.115 4.194 4.349 ITEM6 2.958 3.102 3.176 3.561 3.946 4.020 4.164 Variances ETA 1.000 1.000 1.000 1.000 1.000 1.000 1.000 Residual Variances ITEM1 0.422 0.472 0.498 0.632 0.766 0.792 0.842 ITEM2 0.399 0.447 0.471 0.598 0.725 0.750 0.797 ITEM3 0.366 0.414 0.439 0.567 0.696 0.721 0.769 ITEM4 0.226 0.277 0.303 0.440 0.576 0.602 0.654 ITEM5 0.452 0.498 0.522 0.647 0.773 0.797 0.843 ITEM6 0.438 0.487 0.512 0.642 0.772 0.797 0.846 Group MALE ETA BY ITEM1 0.512 0.553 0.575 0.686 0.797 0.819 0.860 ITEM2 0.579 0.619 0.639 0.745 0.851 0.871 0.911 ITEM3 0.603 0.641 0.660 0.759 0.859 0.878 0.915 ITEM4 0.555 0.591 0.609 0.703 0.798 0.816 0.851 ITEM5 0.484 0.527 0.549 0.666 0.782 0.804 0.848 ITEM6 0.494 0.533 0.554 0.658 0.763 0.783 0.823 Means ETA -0.462 -0.381 -0.340 -0.124 0.092 0.134 0.215 Intercepts ITEM1 3.241 3.447 3.553 4.106 4.658 4.764 4.971 ITEM2 3.006 3.214 3.320 3.877 4.433 4.540 4.748 ITEM3 2.799 2.975 3.064 3.532 4.001 4.090 4.266 ITEM4 2.277 2.409 2.476 2.827 3.178 3.245 3.376 ITEM5 2.769 2.941 3.029 3.489 3.949 4.037 4.210 ITEM6 2.692 2.836 2.910 3.294 3.678 3.752 3.896 Variances ETA 1.000 1.000 1.000 1.000 1.000 1.000 1.000 Residual Variances ITEM1 0.290 0.348 0.377 0.529 0.682 0.711 0.768 ITEM2 0.198 0.257 0.287 0.445 0.603 0.633 0.692 ITEM3 0.187 0.244 0.273 0.424 0.575 0.604 0.660 ITEM4 0.298 0.347 0.373 0.506 0.638 0.664 0.713 ITEM5 0.315 0.373 0.402 0.557 0.712 0.741 0.799 ITEM6 0.350 0.402 0.428 0.566 0.705 0.731 0.783 RESIDUAL OUTPUT ESTIMATED MODEL AND RESIDUALS (OBSERVED - ESTIMATED) FOR FEMALE Model Estimated Means/Intercepts/Thresholds ITEM1 ITEM2 ITEM3 ITEM4 ITEM5 ________ ________ ________ ________ ________ 1 1.515 1.435 1.405 1.312 1.359 Model Estimated Means/Intercepts/Thresholds ITEM6 ________ 1 1.319 Residuals for Means/Intercepts/Thresholds ITEM1 ITEM2 ITEM3 ITEM4 ITEM5 ________ ________ ________ ________ ________ 1 0.018 0.009 0.014 -0.016 -0.024 Residuals for Means/Intercepts/Thresholds ITEM6 ________ 1 0.007 Standardized Residuals (z-scores) for Means/Intercepts/Thresholds ITEM1 ITEM2 ITEM3 ITEM4 ITEM5 ________ ________ ________ ________ ________ 1 1.355 0.633 0.979 -2.754 -1.934 Standardized Residuals (z-scores) for Means/Intercepts/Thresholds ITEM6 ________ 1 0.498 Normalized Residuals for Means/Intercepts/Thresholds ITEM1 ITEM2 ITEM3 ITEM4 ITEM5 ________ ________ ________ ________ ________ 1 0.637 0.286 0.437 -0.536 -0.815 Normalized Residuals for Means/Intercepts/Thresholds ITEM6 ________ 1 0.228 Model Estimated Covariances/Correlations/Residual Correlations ITEM1 ITEM2 ITEM3 ITEM4 ITEM5 ________ ________ ________ ________ ________ ITEM1 0.123 ITEM2 0.049 0.134 ITEM3 0.054 0.059 0.149 ITEM4 0.058 0.064 0.070 0.134 ITEM5 0.046 0.051 0.055 0.060 0.135 ITEM6 0.047 0.051 0.056 0.061 0.048 Model Estimated Covariances/Correlations/Residual Correlations ITEM6 ________ ITEM6 0.137 Residuals for Covariances/Correlations/Residual Correlations ITEM1 ITEM2 ITEM3 ITEM4 ITEM5 ________ ________ ________ ________ ________ ITEM1 -0.002 ITEM2 0.011 0.001 ITEM3 -0.003 -0.004 0.002 ITEM4 0.001 -0.003 0.006 0.002 ITEM5 -0.017 0.000 0.001 -0.008 -0.010 ITEM6 0.001 0.002 0.004 0.008 -0.005 Residuals for Covariances/Correlations/Residual Correlations ITEM6 ________ ITEM6 0.004 Standardized Residuals (z-scores) for Covariances/Correlations/Residual Corr ITEM1 ITEM2 ITEM3 ITEM4 ITEM5 ________ ________ ________ ________ ________ ITEM1 -0.435 ITEM2 1.232 0.114 ITEM3 -0.479 -0.533 0.482 ITEM4 0.191 -0.493 1.742 0.472 ITEM5 -2.181 -0.013 0.152 -1.665 999.000 ITEM6 0.129 0.199 0.436 1.646 -0.600 Standardized Residuals (z-scores) for Covariances/Correlations/Residual Corr ITEM6 ________ ITEM6 0.694 Normalized Residuals for Covariances/Correlations/Residual Correlations ITEM1 ITEM2 ITEM3 ITEM4 ITEM5 ________ ________ ________ ________ ________ ITEM1 -0.114 ITEM2 0.677 0.043 ITEM3 -0.222 -0.221 0.129 ITEM4 0.086 -0.191 0.348 0.096 ITEM5 -1.199 -0.006 0.080 -0.472 -0.604 ITEM6 0.066 0.111 0.223 0.484 -0.346 Normalized Residuals for Covariances/Correlations/Residual Correlations ITEM6 ________ ITEM6 0.236 ESTIMATED MODEL AND RESIDUALS (OBSERVED - ESTIMATED) FOR MALE Model Estimated Means/Intercepts/Thresholds ITEM1 ITEM2 ITEM3 ITEM4 ITEM5 ________ ________ ________ ________ ________ 1 1.484 1.401 1.368 1.272 1.327 Model Estimated Means/Intercepts/Thresholds ITEM6 ________ 1 1.286 Residuals for Means/Intercepts/Thresholds ITEM1 ITEM2 ITEM3 ITEM4 ITEM5 ________ ________ ________ ________ ________ 1 -0.027 -0.010 -0.017 0.047 0.036 Residuals for Means/Intercepts/Thresholds ITEM6 ________ 1 -0.011 Standardized Residuals (z-scores) for Means/Intercepts/Thresholds ITEM1 ITEM2 ITEM3 ITEM4 ITEM5 ________ ________ ________ ________ ________ 1 -1.365 -0.634 -1.060 1.755 1.517 Standardized Residuals (z-scores) for Means/Intercepts/Thresholds ITEM6 ________ 1 -0.523 Normalized Residuals for Means/Intercepts/Thresholds ITEM1 ITEM2 ITEM3 ITEM4 ITEM5 ________ ________ ________ ________ ________ 1 -0.696 -0.272 -0.430 0.993 0.851 Normalized Residuals for Means/Intercepts/Thresholds ITEM6 ________ 1 -0.283 Model Estimated Covariances/Correlations/Residual Correlations ITEM1 ITEM2 ITEM3 ITEM4 ITEM5 ________ ________ ________ ________ ________ ITEM1 0.136 ITEM2 0.070 0.137 ITEM3 0.076 0.083 0.158 ITEM4 0.083 0.090 0.099 0.215 ITEM5 0.066 0.071 0.078 0.085 0.152 ITEM6 0.067 0.073 0.080 0.086 0.068 Model Estimated Covariances/Correlations/Residual Correlations ITEM6 ________ ITEM6 0.160 Residuals for Covariances/Correlations/Residual Correlations ITEM1 ITEM2 ITEM3 ITEM4 ITEM5 ________ ________ ________ ________ ________ ITEM1 0.000 ITEM2 -0.004 -0.002 ITEM3 0.004 -0.001 -0.005 ITEM4 -0.004 -0.005 -0.008 -0.005 ITEM5 0.005 0.018 0.003 0.018 0.015 ITEM6 0.001 -0.013 -0.009 0.001 0.005 Residuals for Covariances/Correlations/Residual Correlations ITEM6 ________ ITEM6 -0.008 Standardized Residuals (z-scores) for Covariances/Correlations/Residual Corr ITEM1 ITEM2 ITEM3 ITEM4 ITEM5 ________ ________ ________ ________ ________ ITEM1 -0.021 ITEM2 -0.446 -0.310 ITEM3 0.453 -0.142 -0.901 ITEM4 -0.348 -0.620 -0.509 -0.510 ITEM5 0.362 2.045 0.268 1.240 1.039 ITEM6 0.066 -1.490 -1.087 0.105 0.582 Standardized Residuals (z-scores) for Covariances/Correlations/Residual Corr ITEM6 ________ ITEM6 999.000 Normalized Residuals for Covariances/Correlations/Residual Correlations ITEM1 ITEM2 ITEM3 ITEM4 ITEM5 ________ ________ ________ ________ ________ ITEM1 -0.008 ITEM2 -0.166 -0.074 ITEM3 0.187 -0.046 -0.186 ITEM4 -0.169 -0.211 -0.269 -0.150 ITEM5 0.216 0.884 0.119 0.687 0.556 ITEM6 0.036 -0.631 -0.426 0.047 0.256 Normalized Residuals for Covariances/Correlations/Residual Correlations ITEM6 ________ ITEM6 -0.346 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\tau-kongeneri Beginning Time: 23:18:32 Ending Time: 23:18:32 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