Mplus VERSION 6.1 MUTHEN & MUTHEN 10/18/2010 11:33 AM INPUT INSTRUCTIONS Data: File = StarD Ratings 1-23-09.dat; Variable: Names = ID DATE_0 CSOIN_0 CMNIN_0 CEMIN_0 CHYSM_0 CMDSD_0 CAPDC_0 CAPIN_0 CWTDC_0 CWTIN_0 CCNTR_0 CVWSF_0 CSUIC_0 CINTR_0 CENGY_0 CSLOW_0 CAGIT_0 y0 DATE_2 CSOIN_2 CMNIN_2 CEMIN_2 CHYSM_2 CMDSD_2 CAPDC_2 CAPIN_2 CWTDC_2 CWTIN_2 CCNTR_2 CVWSF_2 CSUIC_2 CINTR_2 CENGY_2 CSLOW_2 CAGIT_2 y1 DATE_4 CSOIN_4 CMNIN_4 CEMIN_4 CHYSM_4 CMDSD_4 CAPDC_4 CAPIN_4 CWTDC_4 CWTIN_4 CCNTR_4 CVWSF_4 CSUIC_4 CINTR_4 CENGY_4 CSLOW_4 CAGIT_4 y2 DATE_6 SOIN_6 CMNIN_6 CEMIN_6 CHYSM_6 CMDSD_6 CAPDC_6 CAPIN_6 CWTDC_6 CWTIN_6 CCNTR_6 CVWSF_6 CSUIC_6 CINTR_6 CENGY_6 CSLOW_6 CAGIT_6 y3 DATE_9 CSOIN_9 CMNIN_9 CEMIN_9 CHYSM_9 CMDSD_9 CAPDC_9 CAPIN_9 CWTDC_9 CWTIN_9 CCNTR_9 CVWSF_9 CSUIC_9 CINTR_9 CENGY_9 CSLOW_9 CAGIT_9 y4 DATE_12 CSOIN_12 CMNIN_12 CEMIN_12 CHYSM_12 CMDSD_12 CAPDC_12 CAPIN_12 CWTDC_12 CWTIN_12 CCNTR_12 CVWSF_12 CSUIC_12 CINTR_12 CENGY_12 CSLOW_12 CAGIT_12 y5 DATE_14 CSOIN_14 CMNIN_14 CEMIN_14 CHYSM_14 CMDSD_14 CAPDC_14 CAPIN_14 CWTDC_14 CWTIN_14 CCNTR_14 CVWSF_14 CSUIC_14 CINTR_14 CENGY_14 CSLOW_14 CAGIT_14 y6 !Self-Ratings. SSOIN_0 SMNIN_0 SEMIN_0 SHYSM_0 SMDSD_0 SAPDC_0 SAPIN_0 SWTDC_0 SWTIN_0 SCNTR_0 SVWSF_0 SSUIC_0 SINTR_0 SENGY_0 SSLOW_0 SAGIT_0 QSTOT_0 SSOIN_2 SMNIN_2 SEMIN_2 SHYSM_2 SMDSD_2 SAPDC_2 SAPIN_2 SWTDC_2 SWTIN_2 SCNTR_2 SVWSF_2 SSUIC_2 SINTR_2 SENGY_2 SSLOW_2 SAGIT_2 QSTOT_2 SSOIN_4 SMNIN_4 SEMIN_4 SHYSM_4 SMDSD_4 SAPDC_4 SAPIN_4 SWTDC_4 SWTIN_4 SCNTR_4 SVWSF_4 SSUIC_4 SINTR_4 SENGY_4 SSLOW_4 SAGIT_4 QSTOT_4 SSOIN_6 SMNIN_6 SEMIN_6 SHYSM_6 SMDSD_6 SAPDC_6 SAPIN_6 SWTDC_6 SWTIN_6 SCNTR_6 SVWSF_6 SSUIC_6 SINTR_6 SENGY_6 SSLOW_6 SAGIT_6 QSTOT_6 SSOIN_9 SMNIN_9 SEMIN_9 SHYSM_9 SMDSD_9 SAPDC_9 SAPIN_9 SWTDC_9 SWTIN_9 SCNTR_9 SVWSF_9 SSUIC_9 SINTR_9 SENGY_9 SSLOW_9 SAGIT_9 QSTOT_9 SSOIN_12 SMNIN_12 SEMIN_12 SHYSM_12 SMDSD_12 SAPDC_12 SAPIN_12 SWTDC_12 SWTIN_12 SCNTR_12 SVWSF_12 SSUIC_12 SINTR_12 SENGY_12 SSLOW_12 SAGIT_12 QSTOT_12 SSOIN_14 SMNIN_14 SEMIN_14 SHYSM_14 SMDSD_14 SAPDC_14 SAPIN_14 SWTDC_14 SWTIN_14 SCNTR_14 SVWSF_14 SSUIC_14 SINTR_14 SENGY_14 SSLOW_14 SAGIT_14 QSTOT_14; Missing = all (-9999); usev = y0 y1 y2 y3 y4 y5 d1 d2 d3 d4 d5; categorical = d1 d2 d3 d4 d5; classes = c(1); Data missing: names = y0 y1 y2 y3 y4 y5; type = sdropout; binary = d1-d5; Analysis: type = mixture; process = 4; algo = int; integration = montecarlo; Model: %overall% i s q | y0@0 y1@.2 y2@.4 y3@.6 y4@.9 y5@1.2; d1 on y0 (beta2) y1 (beta1); d2 on y1 (beta2) y2 (beta1); d3 on y2 (beta2) y3 (beta1); d4 on y3 (beta2) y4 (beta1); d5 on y4 (beta2) y5 (beta1); Plot: type = plot3; series = y0-y5(s); Output: tech1 sampstat residual standardized; INPUT READING TERMINATED NORMALLY SUMMARY OF ANALYSIS Number of groups 1 Number of observations 4041 Number of dependent variables 11 Number of independent variables 0 Number of continuous latent variables 3 Number of categorical latent variables 1 Observed dependent variables Continuous Y0 Y1 Y2 Y3 Y4 Y5 Binary and ordered categorical (ordinal) D1 D2 D3 D4 D5 Continuous latent variables I S Q Categorical latent variables C 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 MONTECARLO Number of integration points 150 Dimensions of numerical integration 6 Adaptive quadrature ON Monte Carlo integration seed 0 Link LOGIT Cholesky OFF Input data file(s) StarD Ratings 1-23-09.dat Input data format FREE SUMMARY OF DATA Number of missing data patterns 34 Number of y missing data patterns 34 Number of u missing data patterns 5 COVARIANCE COVERAGE OF DATA Minimum covariance coverage value 0.100 PROPORTION OF DATA PRESENT Covariance Coverage D1 D2 D3 D4 D5 ________ ________ ________ ________ ________ D1 1.000 D2 0.896 0.896 D3 0.822 0.822 0.822 D4 0.748 0.748 0.748 0.748 D5 0.628 0.628 0.628 0.628 0.628 Y0 1.000 0.896 0.822 0.747 0.627 Y1 0.790 0.790 0.716 0.658 0.555 Y2 0.694 0.694 0.694 0.619 0.533 Y3 0.677 0.677 0.677 0.677 0.557 Y4 0.571 0.571 0.571 0.571 0.571 Y5 0.385 0.385 0.385 0.385 0.385 Covariance Coverage Y0 Y1 Y2 Y3 Y4 ________ ________ ________ ________ ________ Y0 1.000 Y1 0.790 0.790 Y2 0.693 0.607 0.694 Y3 0.677 0.603 0.564 0.677 Y4 0.571 0.508 0.490 0.511 0.571 Y5 0.385 0.349 0.333 0.343 0.328 Covariance Coverage Y5 ________ Y5 0.385 PROPORTION OF DATA PRESENT FOR U Covariance Coverage D1 D2 D3 D4 D5 ________ ________ ________ ________ ________ D1 1.000 D2 0.896 0.896 D3 0.822 0.822 0.822 D4 0.748 0.748 0.748 0.748 D5 0.628 0.628 0.628 0.628 0.628 PROPORTION OF DATA PRESENT FOR Y Covariance Coverage Y0 Y1 Y2 Y3 Y4 ________ ________ ________ ________ ________ Y0 1.000 Y1 0.790 0.790 Y2 0.693 0.607 0.694 Y3 0.677 0.603 0.564 0.677 Y4 0.571 0.508 0.490 0.511 0.571 Y5 0.385 0.349 0.333 0.343 0.328 Covariance Coverage Y5 ________ Y5 0.385 UNIVARIATE PROPORTIONS AND COUNTS FOR CATEGORICAL VARIABLES D1 Category 1 0.896 3621.000 Category 2 0.104 420.000 D2 Category 1 0.917 3322.000 Category 2 0.083 299.000 D3 Category 1 0.909 3021.000 Category 2 0.091 301.000 D4 Category 1 0.840 2537.000 Category 2 0.160 484.000 D5 Category 1 0.613 1554.000 Category 2 0.387 983.000 SAMPLE STATISTICS ESTIMATED SAMPLE STATISTICS Means Y0 Y1 Y2 Y3 Y4 ________ ________ ________ ________ ________ 1 16.405 12.241 10.731 9.478 8.610 Means Y5 ________ 1 7.709 Covariances Y0 Y1 Y2 Y3 Y4 ________ ________ ________ ________ ________ Y0 11.660 Y1 8.123 20.452 Y2 7.373 15.157 24.102 Y3 6.406 13.488 17.718 25.210 Y4 5.943 12.762 16.378 18.888 26.947 Y5 5.648 12.615 15.576 17.805 21.022 Covariances Y5 ________ Y5 28.531 Correlations Y0 Y1 Y2 Y3 Y4 ________ ________ ________ ________ ________ Y0 1.000 Y1 0.526 1.000 Y2 0.440 0.683 1.000 Y3 0.374 0.594 0.719 1.000 Y4 0.335 0.544 0.643 0.725 1.000 Y5 0.310 0.522 0.594 0.664 0.758 Correlations Y5 ________ Y5 1.000 MAXIMUM LOG-LIKELIHOOD VALUE FOR THE UNRESTRICTED (H1) MODEL IS -44757.802 THE MODEL ESTIMATION TERMINATED NORMALLY MODEL FIT INFORMATION Number of Free Parameters 22 Loglikelihood H0 Value -51465.059 H0 Scaling Correction Factor 1.097 for MLR Information Criteria Akaike (AIC) 102974.118 Bayesian (BIC) 103112.811 Sample-Size Adjusted BIC 103042.905 (n* = (n + 2) / 24) FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASSES BASED ON THE ESTIMATED MODEL Latent Classes 1 4041.00000 1.00000 FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASS PATTERNS BASED ON ESTIMATED POSTERIOR PROBABILITIES Latent Classes 1 4041.00000 1.00000 CLASSIFICATION OF INDIVIDUALS BASED ON THEIR MOST LIKELY LATENT CLASS MEMBERSHIP Class Counts and Proportions Latent Classes 1 4041 1.00000 Average Latent Class Probabilities for Most Likely Latent Class Membership (Row) by Latent Class (Column) 1 1 1.000 MODEL RESULTS Two-Tailed Estimate S.E. Est./S.E. P-Value Latent Class 1 I | Y0 1.000 0.000 999.000 999.000 Y1 1.000 0.000 999.000 999.000 Y2 1.000 0.000 999.000 999.000 Y3 1.000 0.000 999.000 999.000 Y4 1.000 0.000 999.000 999.000 Y5 1.000 0.000 999.000 999.000 S | Y0 0.000 0.000 999.000 999.000 Y1 0.200 0.000 999.000 999.000 Y2 0.400 0.000 999.000 999.000 Y3 0.600 0.000 999.000 999.000 Y4 0.900 0.000 999.000 999.000 Y5 1.200 0.000 999.000 999.000 Q | Y0 0.000 0.000 999.000 999.000 Y1 0.040 0.000 999.000 999.000 Y2 0.160 0.000 999.000 999.000 Y3 0.360 0.000 999.000 999.000 Y4 0.810 0.000 999.000 999.000 Y5 1.440 0.000 999.000 999.000 D1 ON Y0 -0.106 0.017 -6.102 0.000 Y1 0.215 0.020 10.762 0.000 D2 ON Y1 -0.106 0.017 -6.102 0.000 Y2 0.215 0.020 10.762 0.000 D3 ON Y2 -0.106 0.017 -6.102 0.000 Y3 0.215 0.020 10.762 0.000 D4 ON Y3 -0.106 0.017 -6.102 0.000 Y4 0.215 0.020 10.762 0.000 D5 ON Y4 -0.106 0.017 -6.102 0.000 Y5 0.215 0.020 10.762 0.000 S WITH I 0.549 1.370 0.400 0.689 Q WITH I -1.790 0.989 -1.810 0.070 S -62.613 4.892 -12.799 0.000 Means I 16.227 0.057 285.148 0.000 S -16.140 0.260 -62.197 0.000 Q 9.057 0.255 35.528 0.000 Intercepts Y0 0.000 0.000 999.000 999.000 Y1 0.000 0.000 999.000 999.000 Y2 0.000 0.000 999.000 999.000 Y3 0.000 0.000 999.000 999.000 Y4 0.000 0.000 999.000 999.000 Y5 0.000 0.000 999.000 999.000 Thresholds D1$1 3.432 0.105 32.573 0.000 D2$1 3.739 0.118 31.739 0.000 D3$1 3.492 0.112 31.144 0.000 D4$1 2.783 0.102 27.312 0.000 D5$1 1.532 0.085 18.005 0.000 Variances I 7.589 0.383 19.834 0.000 S 96.374 6.223 15.486 0.000 Q 48.143 4.264 11.291 0.000 Residual Variances Y0 4.432 0.381 11.628 0.000 Y1 10.097 0.350 28.824 0.000 Y2 7.470 0.343 21.783 0.000 Y3 6.172 0.325 18.983 0.000 Y4 7.199 0.437 16.478 0.000 Y5 7.123 1.018 6.998 0.000 LOGISTIC REGRESSION ODDS RATIO RESULTS Latent Class 1 D1 ON Y0 0.899 Y1 1.240 D2 ON Y1 0.899 Y2 1.240 D3 ON Y2 0.899 Y3 1.240 D4 ON Y3 0.899 Y4 1.240 D5 ON Y4 0.899 Y5 1.240 STANDARDIZED MODEL RESULTS STDYX Standardization Two-Tailed Estimate S.E. Est./S.E. P-Value Latent Class 1 I | Y0 0.795 0.019 41.770 0.000 Y1 0.606 0.015 40.405 0.000 Y2 0.568 0.015 37.698 0.000 Y3 0.530 0.015 35.744 0.000 Y4 0.493 0.014 35.181 0.000 Y5 0.479 0.015 31.325 0.000 S | Y0 0.000 0.000 999.000 999.000 Y1 0.432 0.013 32.120 0.000 Y2 0.809 0.025 31.911 0.000 Y3 1.133 0.036 31.492 0.000 Y4 1.581 0.051 30.822 0.000 Y5 2.048 0.073 28.099 0.000 Q | Y0 0.000 0.000 999.000 999.000 Y1 0.061 0.003 23.315 0.000 Y2 0.229 0.010 23.066 0.000 Y3 0.481 0.021 22.829 0.000 Y4 1.006 0.045 22.385 0.000 Y5 1.737 0.079 21.993 0.000 D1 ON Y0 -0.183 0.027 -6.787 0.000 Y1 0.487 0.038 12.642 0.000 D2 ON Y1 -0.241 0.036 -6.600 0.000 Y2 0.519 0.041 12.707 0.000 D3 ON Y2 -0.259 0.040 -6.496 0.000 Y3 0.560 0.046 12.242 0.000 D4 ON Y3 -0.274 0.042 -6.525 0.000 Y4 0.597 0.049 12.207 0.000 D5 ON Y4 -0.292 0.044 -6.642 0.000 Y5 0.609 0.052 11.664 0.000 S WITH I 0.020 0.051 0.394 0.693 Q WITH I -0.094 0.055 -1.700 0.089 S -0.919 0.008 -117.567 0.000 Means I 5.890 0.144 40.909 0.000 S -1.644 0.056 -29.270 0.000 Q 1.305 0.062 20.915 0.000 Intercepts Y0 0.000 0.000 999.000 999.000 Y1 0.000 0.000 999.000 999.000 Y2 0.000 0.000 999.000 999.000 Y3 0.000 0.000 999.000 999.000 Y4 0.000 0.000 999.000 999.000 Y5 0.000 0.000 999.000 999.000 Thresholds D1$1 1.709 0.053 32.265 0.000 D2$1 1.861 0.046 40.129 0.000 D3$1 1.751 0.044 39.453 0.000 D4$1 1.383 0.038 36.455 0.000 D5$1 0.754 0.032 23.486 0.000 Variances I 1.000 0.000 999.000 999.000 S 1.000 0.000 999.000 999.000 Q 1.000 0.000 999.000 999.000 Residual Variances Y0 0.369 0.030 12.198 0.000 Y1 0.488 0.012 42.430 0.000 Y2 0.317 0.013 24.568 0.000 Y3 0.228 0.011 20.037 0.000 Y4 0.230 0.013 18.209 0.000 Y5 0.215 0.030 7.220 0.000 STDY Standardization Two-Tailed Estimate S.E. Est./S.E. P-Value Latent Class 1 I | Y0 0.795 0.019 41.770 0.000 Y1 0.606 0.015 40.405 0.000 Y2 0.568 0.015 37.698 0.000 Y3 0.530 0.015 35.744 0.000 Y4 0.493 0.014 35.181 0.000 Y5 0.479 0.015 31.325 0.000 S | Y0 0.000 0.000 999.000 999.000 Y1 0.432 0.013 32.120 0.000 Y2 0.809 0.025 31.911 0.000 Y3 1.133 0.036 31.492 0.000 Y4 1.581 0.051 30.822 0.000 Y5 2.048 0.073 28.099 0.000 Q | Y0 0.000 0.000 999.000 999.000 Y1 0.061 0.003 23.315 0.000 Y2 0.229 0.010 23.066 0.000 Y3 0.481 0.021 22.829 0.000 Y4 1.006 0.045 22.385 0.000 Y5 1.737 0.079 21.993 0.000 D1 ON Y0 -0.183 0.027 -6.787 0.000 Y1 0.487 0.038 12.642 0.000 D2 ON Y1 -0.241 0.036 -6.600 0.000 Y2 0.519 0.041 12.707 0.000 D3 ON Y2 -0.259 0.040 -6.496 0.000 Y3 0.560 0.046 12.242 0.000 D4 ON Y3 -0.274 0.042 -6.525 0.000 Y4 0.597 0.049 12.207 0.000 D5 ON Y4 -0.292 0.044 -6.642 0.000 Y5 0.609 0.052 11.664 0.000 S WITH I 0.020 0.051 0.394 0.693 Q WITH I -0.094 0.055 -1.700 0.089 S -0.919 0.008 -117.567 0.000 Means I 5.890 0.144 40.909 0.000 S -1.644 0.056 -29.270 0.000 Q 1.305 0.062 20.915 0.000 Intercepts Y0 0.000 0.000 999.000 999.000 Y1 0.000 0.000 999.000 999.000 Y2 0.000 0.000 999.000 999.000 Y3 0.000 0.000 999.000 999.000 Y4 0.000 0.000 999.000 999.000 Y5 0.000 0.000 999.000 999.000 Thresholds D1$1 1.709 0.053 32.265 0.000 D2$1 1.861 0.046 40.129 0.000 D3$1 1.751 0.044 39.453 0.000 D4$1 1.383 0.038 36.455 0.000 D5$1 0.754 0.032 23.486 0.000 Variances I 1.000 0.000 999.000 999.000 S 1.000 0.000 999.000 999.000 Q 1.000 0.000 999.000 999.000 Residual Variances Y0 0.369 0.030 12.198 0.000 Y1 0.488 0.012 42.430 0.000 Y2 0.317 0.013 24.568 0.000 Y3 0.228 0.011 20.037 0.000 Y4 0.230 0.013 18.209 0.000 Y5 0.215 0.030 7.220 0.000 STD Standardization Two-Tailed Estimate S.E. Est./S.E. P-Value Latent Class 1 I | Y0 2.755 0.069 39.668 0.000 Y1 2.755 0.069 39.668 0.000 Y2 2.755 0.069 39.668 0.000 Y3 2.755 0.069 39.668 0.000 Y4 2.755 0.069 39.668 0.000 Y5 2.755 0.069 39.668 0.000 S | Y0 0.000 0.000 999.000 999.000 Y1 1.963 0.063 30.971 0.000 Y2 3.927 0.127 30.971 0.000 Y3 5.890 0.190 30.971 0.000 Y4 8.835 0.285 30.971 0.000 Y5 11.780 0.380 30.971 0.000 Q | Y0 0.000 0.000 999.000 999.000 Y1 0.278 0.012 22.582 0.000 Y2 1.110 0.049 22.582 0.000 Y3 2.498 0.111 22.582 0.000 Y4 5.620 0.249 22.582 0.000 Y5 9.992 0.442 22.582 0.000 D1 ON Y0 -0.106 0.017 -6.102 0.000 Y1 0.215 0.020 10.762 0.000 D2 ON Y1 -0.106 0.017 -6.102 0.000 Y2 0.215 0.020 10.762 0.000 D3 ON Y2 -0.106 0.017 -6.102 0.000 Y3 0.215 0.020 10.762 0.000 D4 ON Y3 -0.106 0.017 -6.102 0.000 Y4 0.215 0.020 10.762 0.000 D5 ON Y4 -0.106 0.017 -6.102 0.000 Y5 0.215 0.020 10.762 0.000 S WITH I 0.020 0.051 0.394 0.693 Q WITH I -0.094 0.055 -1.700 0.089 S -0.919 0.008 -117.567 0.000 Means I 5.890 0.144 40.909 0.000 S -1.644 0.056 -29.270 0.000 Q 1.305 0.062 20.915 0.000 Intercepts Y0 0.000 0.000 999.000 999.000 Y1 0.000 0.000 999.000 999.000 Y2 0.000 0.000 999.000 999.000 Y3 0.000 0.000 999.000 999.000 Y4 0.000 0.000 999.000 999.000 Y5 0.000 0.000 999.000 999.000 Thresholds D1$1 3.432 0.105 32.573 0.000 D2$1 3.739 0.118 31.739 0.000 D3$1 3.492 0.112 31.144 0.000 D4$1 2.783 0.102 27.312 0.000 D5$1 1.532 0.085 18.005 0.000 Variances I 1.000 0.000 999.000 999.000 S 1.000 0.000 999.000 999.000 Q 1.000 0.000 999.000 999.000 Residual Variances Y0 4.432 0.381 11.628 0.000 Y1 10.097 0.350 28.824 0.000 Y2 7.470 0.343 21.783 0.000 Y3 6.172 0.325 18.983 0.000 Y4 7.199 0.437 16.478 0.000 Y5 7.123 1.018 6.998 0.000 R-SQUARE Class 1 Observed Two-Tailed Variable Estimate S.E. Est./S.E. P-Value D1 0.184 0.029 6.441 0.000 D2 0.185 0.028 6.682 0.000 D3 0.173 0.023 7.440 0.000 D4 0.187 0.025 7.603 0.000 D5 0.202 0.031 6.578 0.000 Y0 0.631 0.030 20.885 0.000 Y1 0.512 0.012 44.524 0.000 Y2 0.683 0.013 52.930 0.000 Y3 0.772 0.011 67.664 0.000 Y4 0.770 0.013 60.795 0.000 Y5 0.785 0.030 26.319 0.000 QUALITY OF NUMERICAL RESULTS Condition Number for the Information Matrix 0.692E-06 (ratio of smallest to largest eigenvalue) RESIDUAL OUTPUT ESTIMATED MODEL AND RESIDUALS (OBSERVED - ESTIMATED) FOR CLASS 1 Model Estimated Means Y0 Y1 Y2 Y3 Y4 ________ ________ ________ ________ ________ 1 16.227 13.362 11.220 9.804 9.037 Model Estimated Means Y5 ________ 1 9.901 Residuals for Means Y0 Y1 Y2 Y3 Y4 ________ ________ ________ ________ ________ 1 0.177 -1.234 -0.610 -0.528 -0.851 Residuals for Means Y5 ________ 1 -2.914 Model Estimated Covariances Y0 Y1 Y2 Y3 Y4 ________ ________ ________ ________ ________ Y0 12.022 Y1 7.627 20.693 Y2 7.522 12.573 23.563 Y3 7.274 13.559 18.083 27.016 Y4 6.633 13.181 18.197 21.681 31.235 Y5 5.670 10.572 14.867 18.554 22.945 Model Estimated Covariances Y5 ________ Y5 33.090 Residuals for Covariances Y0 Y1 Y2 Y3 Y4 ________ ________ ________ ________ ________ Y0 -0.361 Y1 -0.442 -0.538 Y2 -0.815 -1.347 0.089 Y3 -2.226 -4.160 -5.048 -2.715 Y4 -2.559 -5.835 -6.914 -10.071 -6.015 Y5 -2.607 -6.313 -9.129 -13.427 -14.443 Residuals for Covariances Y5 ________ Y5 -9.073 RESIDUALS ARE NOT AVAILABLE. TECHNICAL 1 OUTPUT PARAMETER SPECIFICATION FOR LATENT CLASS 1 NU D1 D2 D3 D4 D5 ________ ________ ________ ________ ________ 1 0 0 0 0 0 NU Y0 Y1 Y2 Y3 Y4 ________ ________ ________ ________ ________ 1 0 0 0 0 0 NU Y5 ________ 1 0 LAMBDA I S Q D1 D2 ________ ________ ________ ________ ________ D1 0 0 0 0 0 D2 0 0 0 0 0 D3 0 0 0 0 0 D4 0 0 0 0 0 D5 0 0 0 0 0 Y0 0 0 0 0 0 Y1 0 0 0 0 0 Y2 0 0 0 0 0 Y3 0 0 0 0 0 Y4 0 0 0 0 0 Y5 0 0 0 0 0 LAMBDA D3 D4 D5 Y0 Y1 ________ ________ ________ ________ ________ D1 0 0 0 0 0 D2 0 0 0 0 0 D3 0 0 0 0 0 D4 0 0 0 0 0 D5 0 0 0 0 0 Y0 0 0 0 0 0 Y1 0 0 0 0 0 Y2 0 0 0 0 0 Y3 0 0 0 0 0 Y4 0 0 0 0 0 Y5 0 0 0 0 0 LAMBDA Y2 Y3 Y4 Y5 ________ ________ ________ ________ D1 0 0 0 0 D2 0 0 0 0 D3 0 0 0 0 D4 0 0 0 0 D5 0 0 0 0 Y0 0 0 0 0 Y1 0 0 0 0 Y2 0 0 0 0 Y3 0 0 0 0 Y4 0 0 0 0 Y5 0 0 0 0 THETA D1 D2 D3 D4 D5 ________ ________ ________ ________ ________ D1 0 D2 0 0 D3 0 0 0 D4 0 0 0 0 D5 0 0 0 0 0 Y0 0 0 0 0 0 Y1 0 0 0 0 0 Y2 0 0 0 0 0 Y3 0 0 0 0 0 Y4 0 0 0 0 0 Y5 0 0 0 0 0 THETA Y0 Y1 Y2 Y3 Y4 ________ ________ ________ ________ ________ Y0 0 Y1 0 0 Y2 0 0 0 Y3 0 0 0 0 Y4 0 0 0 0 0 Y5 0 0 0 0 0 THETA Y5 ________ Y5 0 ALPHA I S Q D1 D2 ________ ________ ________ ________ ________ 1 1 2 3 0 0 ALPHA D3 D4 D5 Y0 Y1 ________ ________ ________ ________ ________ 1 0 0 0 0 0 ALPHA Y2 Y3 Y4 Y5 ________ ________ ________ ________ 1 0 0 0 0 BETA I S Q D1 D2 ________ ________ ________ ________ ________ I 0 0 0 0 0 S 0 0 0 0 0 Q 0 0 0 0 0 D1 0 0 0 0 0 D2 0 0 0 0 0 D3 0 0 0 0 0 D4 0 0 0 0 0 D5 0 0 0 0 0 Y0 0 0 0 0 0 Y1 0 0 0 0 0 Y2 0 0 0 0 0 Y3 0 0 0 0 0 Y4 0 0 0 0 0 Y5 0 0 0 0 0 BETA D3 D4 D5 Y0 Y1 ________ ________ ________ ________ ________ I 0 0 0 0 0 S 0 0 0 0 0 Q 0 0 0 0 0 D1 0 0 0 4 5 D2 0 0 0 0 4 D3 0 0 0 0 0 D4 0 0 0 0 0 D5 0 0 0 0 0 Y0 0 0 0 0 0 Y1 0 0 0 0 0 Y2 0 0 0 0 0 Y3 0 0 0 0 0 Y4 0 0 0 0 0 Y5 0 0 0 0 0 BETA Y2 Y3 Y4 Y5 ________ ________ ________ ________ I 0 0 0 0 S 0 0 0 0 Q 0 0 0 0 D1 0 0 0 0 D2 5 0 0 0 D3 4 5 0 0 D4 0 4 5 0 D5 0 0 4 5 Y0 0 0 0 0 Y1 0 0 0 0 Y2 0 0 0 0 Y3 0 0 0 0 Y4 0 0 0 0 Y5 0 0 0 0 PSI I S Q D1 D2 ________ ________ ________ ________ ________ I 6 S 7 8 Q 9 10 11 D1 0 0 0 0 D2 0 0 0 0 0 D3 0 0 0 0 0 D4 0 0 0 0 0 D5 0 0 0 0 0 Y0 0 0 0 0 0 Y1 0 0 0 0 0 Y2 0 0 0 0 0 Y3 0 0 0 0 0 Y4 0 0 0 0 0 Y5 0 0 0 0 0 PSI D3 D4 D5 Y0 Y1 ________ ________ ________ ________ ________ D3 0 D4 0 0 D5 0 0 0 Y0 0 0 0 12 Y1 0 0 0 0 13 Y2 0 0 0 0 0 Y3 0 0 0 0 0 Y4 0 0 0 0 0 Y5 0 0 0 0 0 PSI Y2 Y3 Y4 Y5 ________ ________ ________ ________ Y2 14 Y3 0 15 Y4 0 0 16 Y5 0 0 0 17 PARAMETER SPECIFICATION FOR LATENT CLASS INDICATOR MODEL PART TAU(U) FOR LATENT CLASS 1 D1$1 D2$1 D3$1 D4$1 D5$1 ________ ________ ________ ________ ________ 1 18 19 20 21 22 PARAMETER SPECIFICATION FOR LATENT CLASS REGRESSION MODEL PART ALPHA(C) C#1 ________ 1 0 GAMMA(C) I S Q D1 D2 ________ ________ ________ ________ ________ C#1 0 0 0 0 0 GAMMA(C) D3 D4 D5 Y0 Y1 ________ ________ ________ ________ ________ C#1 0 0 0 0 0 GAMMA(C) Y2 Y3 Y4 Y5 ________ ________ ________ ________ C#1 0 0 0 0 STARTING VALUES FOR LATENT CLASS 1 NU D1 D2 D3 D4 D5 ________ ________ ________ ________ ________ 1 0.000 0.000 0.000 0.000 0.000 NU Y0 Y1 Y2 Y3 Y4 ________ ________ ________ ________ ________ 1 0.000 0.000 0.000 0.000 0.000 NU Y5 ________ 1 0.000 LAMBDA I S Q D1 D2 ________ ________ ________ ________ ________ D1 0.000 0.000 0.000 1.000 0.000 D2 0.000 0.000 0.000 0.000 1.000 D3 0.000 0.000 0.000 0.000 0.000 D4 0.000 0.000 0.000 0.000 0.000 D5 0.000 0.000 0.000 0.000 0.000 Y0 0.000 0.000 0.000 0.000 0.000 Y1 0.000 0.000 0.000 0.000 0.000 Y2 0.000 0.000 0.000 0.000 0.000 Y3 0.000 0.000 0.000 0.000 0.000 Y4 0.000 0.000 0.000 0.000 0.000 Y5 0.000 0.000 0.000 0.000 0.000 LAMBDA D3 D4 D5 Y0 Y1 ________ ________ ________ ________ ________ D1 0.000 0.000 0.000 0.000 0.000 D2 0.000 0.000 0.000 0.000 0.000 D3 1.000 0.000 0.000 0.000 0.000 D4 0.000 1.000 0.000 0.000 0.000 D5 0.000 0.000 1.000 0.000 0.000 Y0 0.000 0.000 0.000 1.000 0.000 Y1 0.000 0.000 0.000 0.000 1.000 Y2 0.000 0.000 0.000 0.000 0.000 Y3 0.000 0.000 0.000 0.000 0.000 Y4 0.000 0.000 0.000 0.000 0.000 Y5 0.000 0.000 0.000 0.000 0.000 LAMBDA Y2 Y3 Y4 Y5 ________ ________ ________ ________ D1 0.000 0.000 0.000 0.000 D2 0.000 0.000 0.000 0.000 D3 0.000 0.000 0.000 0.000 D4 0.000 0.000 0.000 0.000 D5 0.000 0.000 0.000 0.000 Y0 0.000 0.000 0.000 0.000 Y1 0.000 0.000 0.000 0.000 Y2 1.000 0.000 0.000 0.000 Y3 0.000 1.000 0.000 0.000 Y4 0.000 0.000 1.000 0.000 Y5 0.000 0.000 0.000 1.000 THETA D1 D2 D3 D4 D5 ________ ________ ________ ________ ________ D1 0.000 D2 0.000 0.000 D3 0.000 0.000 0.000 D4 0.000 0.000 0.000 0.000 D5 0.000 0.000 0.000 0.000 0.000 Y0 0.000 0.000 0.000 0.000 0.000 Y1 0.000 0.000 0.000 0.000 0.000 Y2 0.000 0.000 0.000 0.000 0.000 Y3 0.000 0.000 0.000 0.000 0.000 Y4 0.000 0.000 0.000 0.000 0.000 Y5 0.000 0.000 0.000 0.000 0.000 THETA Y0 Y1 Y2 Y3 Y4 ________ ________ ________ ________ ________ Y0 0.000 Y1 0.000 0.000 Y2 0.000 0.000 0.000 Y3 0.000 0.000 0.000 0.000 Y4 0.000 0.000 0.000 0.000 0.000 Y5 0.000 0.000 0.000 0.000 0.000 THETA Y5 ________ Y5 0.000 ALPHA I S Q D1 D2 ________ ________ ________ ________ ________ 1 15.896 -17.988 10.275 0.000 0.000 ALPHA D3 D4 D5 Y0 Y1 ________ ________ ________ ________ ________ 1 0.000 0.000 0.000 0.000 0.000 ALPHA Y2 Y3 Y4 Y5 ________ ________ ________ ________ 1 0.000 0.000 0.000 0.000 BETA I S Q D1 D2 ________ ________ ________ ________ ________ I 0.000 0.000 0.000 0.000 0.000 S 0.000 0.000 0.000 0.000 0.000 Q 0.000 0.000 0.000 0.000 0.000 D1 0.000 0.000 0.000 0.000 0.000 D2 0.000 0.000 0.000 0.000 0.000 D3 0.000 0.000 0.000 0.000 0.000 D4 0.000 0.000 0.000 0.000 0.000 D5 0.000 0.000 0.000 0.000 0.000 Y0 1.000 0.000 0.000 0.000 0.000 Y1 1.000 0.200 0.040 0.000 0.000 Y2 1.000 0.400 0.160 0.000 0.000 Y3 1.000 0.600 0.360 0.000 0.000 Y4 1.000 0.900 0.810 0.000 0.000 Y5 1.000 1.200 1.440 0.000 0.000 BETA D3 D4 D5 Y0 Y1 ________ ________ ________ ________ ________ I 0.000 0.000 0.000 0.000 0.000 S 0.000 0.000 0.000 0.000 0.000 Q 0.000 0.000 0.000 0.000 0.000 D1 0.000 0.000 0.000 0.000 0.000 D2 0.000 0.000 0.000 0.000 0.000 D3 0.000 0.000 0.000 0.000 0.000 D4 0.000 0.000 0.000 0.000 0.000 D5 0.000 0.000 0.000 0.000 0.000 Y0 0.000 0.000 0.000 0.000 0.000 Y1 0.000 0.000 0.000 0.000 0.000 Y2 0.000 0.000 0.000 0.000 0.000 Y3 0.000 0.000 0.000 0.000 0.000 Y4 0.000 0.000 0.000 0.000 0.000 Y5 0.000 0.000 0.000 0.000 0.000 BETA Y2 Y3 Y4 Y5 ________ ________ ________ ________ I 0.000 0.000 0.000 0.000 S 0.000 0.000 0.000 0.000 Q 0.000 0.000 0.000 0.000 D1 0.000 0.000 0.000 0.000 D2 0.000 0.000 0.000 0.000 D3 0.000 0.000 0.000 0.000 D4 0.000 0.000 0.000 0.000 D5 0.000 0.000 0.000 0.000 Y0 0.000 0.000 0.000 0.000 Y1 0.000 0.000 0.000 0.000 Y2 0.000 0.000 0.000 0.000 Y3 0.000 0.000 0.000 0.000 Y4 0.000 0.000 0.000 0.000 Y5 0.000 0.000 0.000 0.000 PSI I S Q D1 D2 ________ ________ ________ ________ ________ I 11.807 S 0.000 203.468 Q 0.000 0.000 233.785 D1 0.000 0.000 0.000 1.000 D2 0.000 0.000 0.000 0.000 1.000 D3 0.000 0.000 0.000 0.000 0.000 D4 0.000 0.000 0.000 0.000 0.000 D5 0.000 0.000 0.000 0.000 0.000 Y0 0.000 0.000 0.000 0.000 0.000 Y1 0.000 0.000 0.000 0.000 0.000 Y2 0.000 0.000 0.000 0.000 0.000 Y3 0.000 0.000 0.000 0.000 0.000 Y4 0.000 0.000 0.000 0.000 0.000 Y5 0.000 0.000 0.000 0.000 0.000 PSI D3 D4 D5 Y0 Y1 ________ ________ ________ ________ ________ D3 1.000 D4 0.000 1.000 D5 0.000 0.000 1.000 Y0 0.000 0.000 0.000 5.832 Y1 0.000 0.000 0.000 0.000 10.081 Y2 0.000 0.000 0.000 0.000 0.000 Y3 0.000 0.000 0.000 0.000 0.000 Y4 0.000 0.000 0.000 0.000 0.000 Y5 0.000 0.000 0.000 0.000 0.000 PSI Y2 Y3 Y4 Y5 ________ ________ ________ ________ Y2 11.830 Y3 0.000 12.155 Y4 0.000 0.000 12.616 Y5 0.000 0.000 0.000 12.016 STARTING VALUES FOR LATENT CLASS INDICATOR MODEL PART TAU(U) FOR LATENT CLASS 1 D1$1 D2$1 D3$1 D4$1 D5$1 ________ ________ ________ ________ ________ 1 2.154 2.408 2.306 1.657 0.458 STARTING VALUES FOR LATENT CLASS REGRESSION MODEL PART ALPHA(C) C#1 ________ 1 0.000 GAMMA(C) I S Q D1 D2 ________ ________ ________ ________ ________ C#1 0.000 0.000 0.000 0.000 0.000 GAMMA(C) D3 D4 D5 Y0 Y1 ________ ________ ________ ________ ________ C#1 0.000 0.000 0.000 0.000 0.000 GAMMA(C) Y2 Y3 Y4 Y5 ________ ________ ________ ________ C#1 0.000 0.000 0.000 0.000 SAMPLE STATISTICS FOR ESTIMATED FACTOR SCORES SAMPLE STATISTICS Means I S Q C_I C_S ________ ________ ________ ________ ________ 1 16.156 -16.961 9.309 16.156 -16.961 Means C_Q ________ 1 9.309 Covariances I S Q C_I C_S ________ ________ ________ ________ ________ I 5.293 S 4.431 48.578 Q -3.688 -28.719 18.794 C_I 5.293 4.431 -3.688 5.293 C_S 4.431 48.578 -28.719 4.431 48.578 C_Q -3.688 -28.719 18.794 -3.688 -28.719 Covariances C_Q ________ C_Q 18.794 Correlations I S Q C_I C_S ________ ________ ________ ________ ________ I 1.000 S 0.276 1.000 Q -0.370 -0.950 1.000 C_I 1.000 0.276 -0.370 1.000 C_S 0.276 1.000 -0.950 0.276 1.000 C_Q -0.370 -0.950 1.000 -0.370 -0.950 Correlations C_Q ________ C_Q 1.000 PLOT INFORMATION The following plots are available: Histograms (sample values, estimated factor scores) Scatterplots (sample values, estimated factor scores) Sample means Estimated means Sample and estimated means Observed individual values Estimated means and observed individual values Beginning Time: 11:33:47 Ending Time: 11:34:04 Elapsed Time: 00:00:17 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) 1998-2010 Muthen & Muthen