Mplus VERSION 6.1 MUTHEN & MUTHEN 10/16/2010 5:09 AM INPUT INSTRUCTIONS Title: Data: File = saved_all_1-23-09_ALL.dat; variance=nocheck; 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 LEVEL TRTMT_0 TRTMT_2 TRTMT_4 TRTMT_6 TRTMT_9 TRTMT_12 TRTMT_14 TRTMT age male white black other HDtot edu rdep health_t health_s GI_2 GI_4 GI_6 GI_9 GI_12 GI_14 GIW_2 GIW_4 GIW_6 GIW_9 GIW_12 GIW_14 Heart_2 Heart_4 Heart_6 Heart_9 Heart_12 Heart_14 HEARTW_2 HEARTW_4 HEARTW_6 HEARTW_9 HEARTW_12 HEARTW_14 SKIN_2 SKIN_4 SKIN_6 SKIN_9 SKIN_12 SKIN_14 SKINW_2 SKINW_4 SKINW_6 SKINW_9 SKINW_12 SKINW_14 NS_2 NS_4 NS_6 NS_9 NS_12 NS_14 NSW_2 NSW_4 NSW_6 NSW_9 NSW_12 NSW_14 EE_2 EE_4 EE_6 EE_9 EE_12 EE_14 EEW_2 EEW_4 EEW_6 EEW_9 EEW_12 EEW_14 GU_2 GU_4 GU_6 GU_9 GU_12 GU_14 GUW_2 GUW_4 GUW_6 GUW_9 GUW_12 GUW_14 SLEEP_2 SLEEP_4 SLEEP_6 SLEEP_9 SLEEP_12 SLEEP_14 SLEEPW_2 SLEEPW_4 SLEEPW_6 SLEEPW_9 SLEEPW_12 SLEEPW_14 SF_2 SF_4 SF_6 SF_9 SF_12 SF_14 SFW_2 SFW_4 SFW_6 SFW_9 SFW_12 SFW_14 OTHER_2 OTHER_4 OTHER_6 OTHER_9 OTHER_12 OTHER_14 OTHERW_2 OTHERW_4 OTHERW_6 OTHERW_9 OTHERW_12 OTHERW_14 SYMTOT_2 SYMTOT_4 SYMTOT_6 SYMTOT_9 SYMTOT_12 SYMTOT_14 FRFRQ_2 FRFRQ_4 FRFRQ_6 FRFRQ_9 FRFRQ_12 FRFRQ_14 FRINT_2 FRINT_4 FRINT_6 FRINT_9 FRINT_12 FRINT_14 GRSEB_2 GRSEB_4 GRSEB_6 GRSEB_9 GRSEB_12 GRSEB_14 class drpout; missing = *; idvariable = id; usev = y0 y1 y2 y3 y4 y5 trtmt; nominal = trtmt; classes = c(4); Analysis: type = mixture; optseed = 973369; process = 4(starts); interactive = control.dat; Model: %overall% i s q | y0@0 y1@.2 y2@.4 y3@.6 y4@.9 y5@1.2; Plot: type = plot3; series = y0-y5(s); Output: tech1 sampstat residual svalues; *** WARNING Variable name contains more than 8 characters. Only the first 8 characters will be printed in the output. Variable: HEARTW_12 *** WARNING Variable name contains more than 8 characters. Only the first 8 characters will be printed in the output. Variable: HEARTW_14 *** WARNING Variable name contains more than 8 characters. Only the first 8 characters will be printed in the output. Variable: SLEEPW_12 *** WARNING Variable name contains more than 8 characters. Only the first 8 characters will be printed in the output. Variable: SLEEPW_14 *** WARNING Variable name contains more than 8 characters. Only the first 8 characters will be printed in the output. Variable: OTHERW_12 *** WARNING Variable name contains more than 8 characters. Only the first 8 characters will be printed in the output. Variable: OTHERW_14 *** WARNING Variable name contains more than 8 characters. Only the first 8 characters will be printed in the output. Variable: SYMTOT_12 *** WARNING Variable name contains more than 8 characters. Only the first 8 characters will be printed in the output. Variable: SYMTOT_14 *** WARNING in PLOT command Note that only the first 8 characters of variable names are used in plots. If variable names are not unique within the first 8 characters, problems may occur. 9 WARNING(S) FOUND IN THE INPUT INSTRUCTIONS SUMMARY OF ANALYSIS Number of groups 1 Number of observations 4041 Number of dependent variables 7 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 Unordered categorical (nominal) TRTMT Continuous latent variables I S Q Categorical latent variables C Variables with special functions ID variable ID 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-06 Relative loglikelihood change 0.100D-06 Derivative 0.100D-05 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-05 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-05 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 Random Starts Specifications Random seed for analysis 973369 Input data file(s) saved_all_1-23-09_ALL.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 0 COVARIANCE COVERAGE OF DATA Minimum covariance coverage value 0.100 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 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 IN THE OPTIMIZATION, ONE OR MORE LOGIT SCALE PARAMETERS APPROACHED AND WERE SET AT THE EXTREME VALUES. EXTREME VALUES ARE -15.000 AND 15.000. THE FOLLOWING PARAMETERS WERE SET AT THESE VALUES: * MEAN OF TRTMT#1 FOR CLASS 2 THE MODEL ESTIMATION TERMINATED NORMALLY MODEL FIT INFORMATION Number of Free Parameters 39 Loglikelihood H0 Value -48501.024 H0 Scaling Correction Factor 1.192 for MLR Information Criteria Akaike (AIC) 97080.048 Bayesian (BIC) 97325.913 Sample-Size Adjusted BIC 97201.989 (n* = (n + 2) / 24) FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASSES BASED ON THE ESTIMATED MODEL Latent Classes 1 1710.80872 0.42336 2 216.10698 0.05348 3 1363.78893 0.33749 4 750.29537 0.18567 FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASS PATTERNS BASED ON ESTIMATED POSTERIOR PROBABILITIES Latent Classes 1 1710.80859 0.42336 2 216.10702 0.05348 3 1363.78921 0.33749 4 750.29517 0.18567 CLASSIFICATION QUALITY Entropy 0.641 CLASSIFICATION OF INDIVIDUALS BASED ON THEIR MOST LIKELY LATENT CLASS MEMBERSHIP Class Counts and Proportions Latent Classes 1 1602 0.39644 2 100 0.02475 3 1607 0.39767 4 732 0.18114 Average Latent Class Probabilities for Most Likely Latent Class Membership (Row) by Latent Class (Column) 1 2 3 4 1 0.931 0.021 0.046 0.001 2 0.154 0.599 0.174 0.073 3 0.114 0.055 0.693 0.137 4 0.028 0.046 0.216 0.710 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 S WITH I -3.567 1.415 -2.522 0.012 Q WITH I -0.846 1.031 -0.821 0.412 S -36.969 3.913 -9.447 0.000 Means I 15.197 0.094 161.549 0.000 S -20.719 0.381 -54.403 0.000 Q 9.530 0.303 31.446 0.000 Means TRTMT#1 -2.120 0.280 -7.570 0.000 TRTMT#2 -2.024 0.379 -5.338 0.000 TRTMT#3 1.702 0.206 8.269 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 Variances I 5.979 0.405 14.756 0.000 S 51.980 5.335 9.743 0.000 Q 29.342 3.084 9.513 0.000 Residual Variances Y0 4.451 0.377 11.792 0.000 Y1 9.455 0.303 31.230 0.000 Y2 7.300 0.327 22.332 0.000 Y3 6.121 0.311 19.656 0.000 Y4 7.202 0.425 16.945 0.000 Y5 2.953 0.608 4.855 0.000 Latent Class 2 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 S WITH I -3.567 1.415 -2.522 0.012 Q WITH I -0.846 1.031 -0.821 0.412 S -36.969 3.913 -9.447 0.000 Means I 17.717 0.617 28.720 0.000 S -35.530 3.226 -11.013 0.000 Q 27.783 2.168 12.812 0.000 Means TRTMT#1 -15.000 0.000 999.000 999.000 TRTMT#2 -0.822 0.403 -2.042 0.041 TRTMT#3 -1.557 0.667 -2.336 0.019 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 Variances I 5.979 0.405 14.756 0.000 S 51.980 5.335 9.743 0.000 Q 29.342 3.084 9.513 0.000 Residual Variances Y0 4.451 0.377 11.792 0.000 Y1 9.455 0.303 31.230 0.000 Y2 7.300 0.327 22.332 0.000 Y3 6.121 0.311 19.656 0.000 Y4 7.202 0.425 16.945 0.000 Y5 2.953 0.608 4.855 0.000 Latent Class 3 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 S WITH I -3.567 1.415 -2.522 0.012 Q WITH I -0.846 1.031 -0.821 0.412 S -36.969 3.913 -9.447 0.000 Means I 15.802 0.149 106.407 0.000 S -12.484 0.563 -22.173 0.000 Q 6.381 0.458 13.918 0.000 Means TRTMT#1 -4.351 0.578 -7.523 0.000 TRTMT#2 0.705 0.143 4.916 0.000 TRTMT#3 -1.924 0.293 -6.570 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 Variances I 5.979 0.405 14.756 0.000 S 51.980 5.335 9.743 0.000 Q 29.342 3.084 9.513 0.000 Residual Variances Y0 4.451 0.377 11.792 0.000 Y1 9.455 0.303 31.230 0.000 Y2 7.300 0.327 22.332 0.000 Y3 6.121 0.311 19.656 0.000 Y4 7.202 0.425 16.945 0.000 Y5 2.953 0.608 4.855 0.000 Latent Class 4 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 S WITH I -3.567 1.415 -2.522 0.012 Q WITH I -0.846 1.031 -0.821 0.412 S -36.969 3.913 -9.447 0.000 Means I 18.630 0.218 85.563 0.000 S -8.998 0.931 -9.667 0.000 Q 6.460 0.943 6.854 0.000 Means TRTMT#1 ********* 0.000 999.000 999.000 TRTMT#2 0.463 0.124 3.723 0.000 TRTMT#3 -4.606 1.300 -3.542 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 Variances I 5.979 0.405 14.756 0.000 S 51.980 5.335 9.743 0.000 Q 29.342 3.084 9.513 0.000 Residual Variances Y0 4.451 0.377 11.792 0.000 Y1 9.455 0.303 31.230 0.000 Y2 7.300 0.327 22.332 0.000 Y3 6.121 0.311 19.656 0.000 Y4 7.202 0.425 16.945 0.000 Y5 2.953 0.608 4.855 0.000 Categorical Latent Variables Means C#1 0.824 0.107 7.701 0.000 C#2 -1.245 0.291 -4.279 0.000 C#3 0.598 0.123 4.844 0.000 QUALITY OF NUMERICAL RESULTS Condition Number for the Information Matrix 0.741E-08 (ratio of smallest to largest eigenvalue) MODEL COMMAND WITH FINAL ESTIMATES USED AS STARTING VALUES %OVERALL% i s q | y0@0 y1@.2 y2@.4 y3@.6 y4@.9 y5@1.2; [ c#1*0.824 ]; [ c#2*-1.245 ]; [ c#3*0.598 ]; %C#1% s WITH i*-3.567 (11); q WITH i*-0.846 (13); q WITH s*-36.969 (14); [ y0@0 ]; [ y1@0 ]; [ y2@0 ]; [ y3@0 ]; [ y4@0 ]; [ y5@0 ]; [ i*15.197 ]; [ s*-20.719 ]; [ q*9.530 ]; [ trtmt#1*-2.120 ]; [ trtmt#2*-2.024 ]; [ trtmt#3*1.702 ]; y0*4.451 (1); y1*9.455 (2); y2*7.300 (3); y3*6.121 (4); y4*7.202 (5); y5*2.953 (6); i*5.979 (10); s*51.980 (12); q*29.342 (15); %C#2% s WITH i*-3.567 (11); q WITH i*-0.846 (13); q WITH s*-36.969 (14); [ y0@0 ]; [ y1@0 ]; [ y2@0 ]; [ y3@0 ]; [ y4@0 ]; [ y5@0 ]; [ i*17.717 ]; [ s*-35.530 ]; [ q*27.783 ]; [ trtmt#1*-15 ]; [ trtmt#2*-0.822 ]; [ trtmt#3*-1.557 ]; y0*4.451 (1); y1*9.455 (2); y2*7.300 (3); y3*6.121 (4); y4*7.202 (5); y5*2.953 (6); i*5.979 (10); s*51.980 (12); q*29.342 (15); %C#3% s WITH i*-3.567 (11); q WITH i*-0.846 (13); q WITH s*-36.969 (14); [ y0@0 ]; [ y1@0 ]; [ y2@0 ]; [ y3@0 ]; [ y4@0 ]; [ y5@0 ]; [ i*15.802 ]; [ s*-12.484 ]; [ q*6.381 ]; [ trtmt#1*-4.351 ]; [ trtmt#2*0.705 ]; [ trtmt#3*-1.924 ]; y0*4.451 (1); y1*9.455 (2); y2*7.300 (3); y3*6.121 (4); y4*7.202 (5); y5*2.953 (6); i*5.979 (10); s*51.980 (12); q*29.342 (15); %C#4% s WITH i*-3.567 (11); q WITH i*-0.846 (13); q WITH s*-36.969 (14); [ y0@0 ]; [ y1@0 ]; [ y2@0 ]; [ y3@0 ]; [ y4@0 ]; [ y5@0 ]; [ i*18.630 ]; [ s*-8.998 ]; [ q*6.460 ]; [ trtmt#1*-20668.248 ]; [ trtmt#2*0.463 ]; [ trtmt#3*-4.606 ]; y0*4.451 (1); y1*9.455 (2); y2*7.300 (3); y3*6.121 (4); y4*7.202 (5); y5*2.953 (6); i*5.979 (10); s*51.980 (12); q*29.342 (15); RESIDUAL OUTPUT ESTIMATED MODEL AND RESIDUALS (OBSERVED - ESTIMATED) FOR CLASS 1 Model Estimated Means Y0 Y1 Y2 Y3 Y4 ________ ________ ________ ________ ________ 1 15.197 11.435 8.434 6.197 4.269 Model Estimated Means Y5 ________ 1 4.057 Residuals for Means Y0 Y1 Y2 Y3 Y4 ________ ________ ________ ________ ________ 1 0.336 -1.234 -0.272 0.278 0.915 Residuals for Means Y5 ________ 1 -0.150 Model Estimated Covariances Y0 Y1 Y2 Y3 Y4 ________ ________ ________ ________ ________ Y0 10.431 Y1 5.232 15.474 Y2 4.417 6.242 14.491 Y3 3.535 5.898 7.265 13.756 Y4 2.084 4.324 5.736 6.319 12.844 Y5 0.481 1.477 2.237 2.761 3.102 Model Estimated Covariances Y5 ________ Y5 5.864 Residuals for Covariances Y0 Y1 Y2 Y3 Y4 ________ ________ ________ ________ ________ Y0 -0.097 Y1 0.988 0.862 Y2 -0.185 2.217 1.079 Y3 -0.687 -0.115 -0.171 -1.218 Y4 -0.476 0.238 -0.315 -0.725 -2.467 Y5 0.533 2.036 2.012 1.333 2.198 Residuals for Covariances Y5 ________ Y5 -0.420 ESTIMATED MODEL AND RESIDUALS (OBSERVED - ESTIMATED) FOR CLASS 2 Model Estimated Means Y0 Y1 Y2 Y3 Y4 ________ ________ ________ ________ ________ 1 17.717 11.722 7.950 6.401 8.244 Model Estimated Means Y5 ________ 1 15.089 Residuals for Means Y0 Y1 Y2 Y3 Y4 ________ ________ ________ ________ ________ 1 0.088 -0.619 0.282 0.352 -0.157 Residuals for Means Y5 ________ 1 0.061 Model Estimated Covariances Y0 Y1 Y2 Y3 Y4 ________ ________ ________ ________ ________ Y0 10.431 Y1 5.232 15.474 Y2 4.417 6.242 14.491 Y3 3.535 5.898 7.265 13.756 Y4 2.084 4.324 5.736 6.319 12.844 Y5 0.481 1.477 2.237 2.761 3.102 Model Estimated Covariances Y5 ________ Y5 5.864 Residuals for Covariances Y0 Y1 Y2 Y3 Y4 ________ ________ ________ ________ ________ Y0 -0.540 Y1 0.533 2.409 Y2 -1.073 1.868 -0.335 Y3 0.154 0.925 -2.408 -2.425 Y4 -0.055 3.108 1.346 -2.052 2.028 Y5 7.596 22.777 11.958 5.312 -4.574 Residuals for Covariances Y5 ________ Y5 2.806 ESTIMATED MODEL AND RESIDUALS (OBSERVED - ESTIMATED) FOR CLASS 3 Model Estimated Means Y0 Y1 Y2 Y3 Y4 ________ ________ ________ ________ ________ 1 15.802 13.561 11.830 10.609 9.735 Model Estimated Means Y5 ________ 1 10.009 Residuals for Means Y0 Y1 Y2 Y3 Y4 ________ ________ ________ ________ ________ 1 0.184 -0.826 -0.148 0.296 0.397 Residuals for Means Y5 ________ 1 -0.319 Model Estimated Covariances Y0 Y1 Y2 Y3 Y4 ________ ________ ________ ________ ________ Y0 10.431 Y1 5.232 15.474 Y2 4.417 6.242 14.491 Y3 3.535 5.898 7.265 13.756 Y4 2.084 4.324 5.736 6.319 12.844 Y5 0.481 1.477 2.237 2.761 3.102 Model Estimated Covariances Y5 ________ Y5 5.864 Residuals for Covariances Y0 Y1 Y2 Y3 Y4 ________ ________ ________ ________ ________ Y0 -0.036 Y1 0.319 -1.609 Y2 1.164 -0.871 0.188 Y3 0.506 -1.982 -2.041 -0.396 Y4 1.693 -2.691 -1.311 -4.530 -0.746 Y5 4.743 1.193 -0.171 -3.407 -2.899 Residuals for Covariances Y5 ________ Y5 0.669 ESTIMATED MODEL AND RESIDUALS (OBSERVED - ESTIMATED) FOR CLASS 4 Model Estimated Means Y0 Y1 Y2 Y3 Y4 ________ ________ ________ ________ ________ 1 18.630 17.088 16.064 15.556 15.764 Model Estimated Means Y5 ________ 1 17.134 Residuals for Means Y0 Y1 Y2 Y3 Y4 ________ ________ ________ ________ ________ 1 0.118 -0.700 0.018 0.043 0.057 Residuals for Means Y5 ________ 1 -0.486 Model Estimated Covariances Y0 Y1 Y2 Y3 Y4 ________ ________ ________ ________ ________ Y0 10.431 Y1 5.232 15.474 Y2 4.417 6.242 14.491 Y3 3.535 5.898 7.265 13.756 Y4 2.084 4.324 5.736 6.319 12.844 Y5 0.481 1.477 2.237 2.761 3.102 Model Estimated Covariances Y5 ________ Y5 5.864 Residuals for Covariances Y0 Y1 Y2 Y3 Y4 ________ ________ ________ ________ ________ Y0 -1.037 Y1 -0.407 -1.407 Y2 1.420 -0.357 1.215 Y3 -1.275 -1.255 -4.602 0.830 Y4 -0.047 0.367 -5.595 -9.209 0.337 Y5 -2.346 -8.381 -12.017 -17.542 -23.999 Residuals for Covariances Y5 ________ Y5 0.866 UNIVARIATE DISTRIBUTION FIT FOR CLASS 1 Variable Estimated Residual (Observed-Estimated) TRTMT Category 1 0.018 0.000 Category 2 0.020 0.000 Category 3 0.814 0.000 Category 4 0.148 0.000 UNIVARIATE DISTRIBUTION FIT FOR CLASS 2 Variable Estimated Residual (Observed-Estimated) TRTMT Category 1 0.000 0.000 Category 2 0.266 0.000 Category 3 0.128 0.000 Category 4 0.606 0.000 UNIVARIATE DISTRIBUTION FIT FOR CLASS 3 Variable Estimated Residual (Observed-Estimated) TRTMT Category 1 0.004 0.000 Category 2 0.636 0.000 Category 3 0.046 0.000 Category 4 0.314 0.000 UNIVARIATE DISTRIBUTION FIT FOR CLASS 4 Variable Estimated Residual (Observed-Estimated) TRTMT Category 1 0.000 0.000 Category 2 0.611 0.000 Category 3 0.004 0.000 Category 4 0.385 0.000 TECHNICAL 1 OUTPUT PARAMETER SPECIFICATION FOR LATENT CLASS 1 NU Y0 Y1 Y2 Y3 Y4 ________ ________ ________ ________ ________ 1 0 0 0 0 0 NU Y5 ________ 1 0 LAMBDA I S Q ________ ________ ________ Y0 0 0 0 Y1 0 0 0 Y2 0 0 0 Y3 0 0 0 Y4 0 0 0 Y5 0 0 0 THETA Y0 Y1 Y2 Y3 Y4 ________ ________ ________ ________ ________ Y0 1 Y1 0 2 Y2 0 0 3 Y3 0 0 0 4 Y4 0 0 0 0 5 Y5 0 0 0 0 0 THETA Y5 ________ Y5 6 ALPHA I S Q ________ ________ ________ 1 7 8 9 BETA I S Q ________ ________ ________ I 0 0 0 S 0 0 0 Q 0 0 0 PSI I S Q ________ ________ ________ I 10 S 11 12 Q 13 14 15 PARAMETER SPECIFICATION FOR LATENT CLASS 2 NU Y0 Y1 Y2 Y3 Y4 ________ ________ ________ ________ ________ 1 0 0 0 0 0 NU Y5 ________ 1 0 LAMBDA I S Q ________ ________ ________ Y0 0 0 0 Y1 0 0 0 Y2 0 0 0 Y3 0 0 0 Y4 0 0 0 Y5 0 0 0 THETA Y0 Y1 Y2 Y3 Y4 ________ ________ ________ ________ ________ Y0 1 Y1 0 2 Y2 0 0 3 Y3 0 0 0 4 Y4 0 0 0 0 5 Y5 0 0 0 0 0 THETA Y5 ________ Y5 6 ALPHA I S Q ________ ________ ________ 1 16 17 18 BETA I S Q ________ ________ ________ I 0 0 0 S 0 0 0 Q 0 0 0 PSI I S Q ________ ________ ________ I 10 S 11 12 Q 13 14 15 PARAMETER SPECIFICATION FOR LATENT CLASS 3 NU Y0 Y1 Y2 Y3 Y4 ________ ________ ________ ________ ________ 1 0 0 0 0 0 NU Y5 ________ 1 0 LAMBDA I S Q ________ ________ ________ Y0 0 0 0 Y1 0 0 0 Y2 0 0 0 Y3 0 0 0 Y4 0 0 0 Y5 0 0 0 THETA Y0 Y1 Y2 Y3 Y4 ________ ________ ________ ________ ________ Y0 1 Y1 0 2 Y2 0 0 3 Y3 0 0 0 4 Y4 0 0 0 0 5 Y5 0 0 0 0 0 THETA Y5 ________ Y5 6 ALPHA I S Q ________ ________ ________ 1 19 20 21 BETA I S Q ________ ________ ________ I 0 0 0 S 0 0 0 Q 0 0 0 PSI I S Q ________ ________ ________ I 10 S 11 12 Q 13 14 15 PARAMETER SPECIFICATION FOR LATENT CLASS 4 NU Y0 Y1 Y2 Y3 Y4 ________ ________ ________ ________ ________ 1 0 0 0 0 0 NU Y5 ________ 1 0 LAMBDA I S Q ________ ________ ________ Y0 0 0 0 Y1 0 0 0 Y2 0 0 0 Y3 0 0 0 Y4 0 0 0 Y5 0 0 0 THETA Y0 Y1 Y2 Y3 Y4 ________ ________ ________ ________ ________ Y0 1 Y1 0 2 Y2 0 0 3 Y3 0 0 0 4 Y4 0 0 0 0 5 Y5 0 0 0 0 0 THETA Y5 ________ Y5 6 ALPHA I S Q ________ ________ ________ 1 22 23 24 BETA I S Q ________ ________ ________ I 0 0 0 S 0 0 0 Q 0 0 0 PSI I S Q ________ ________ ________ I 10 S 11 12 Q 13 14 15 PARAMETER SPECIFICATION FOR LATENT CLASS REGRESSION MODEL PART ALPHA(C) C#1 C#2 C#3 C#4 ________ ________ ________ ________ 1 25 26 27 0 PARAMETER SPECIFICATION FOR THE CENSORED/NOMINAL/COUNT MODEL PART NU(P) FOR LATENT CLASS 1 TRTMT#1 TRTMT#2 TRTMT#3 ________ ________ ________ 1 28 29 30 NU(P) FOR LATENT CLASS 2 TRTMT#1 TRTMT#2 TRTMT#3 ________ ________ ________ 1 31 32 33 NU(P) FOR LATENT CLASS 3 TRTMT#1 TRTMT#2 TRTMT#3 ________ ________ ________ 1 34 35 36 NU(P) FOR LATENT CLASS 4 TRTMT#1 TRTMT#2 TRTMT#3 ________ ________ ________ 1 37 38 39 STARTING VALUES FOR LATENT CLASS 1 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 ________ ________ ________ Y0 1.000 0.000 0.000 Y1 1.000 0.200 0.040 Y2 1.000 0.400 0.160 Y3 1.000 0.600 0.360 Y4 1.000 0.900 0.810 Y5 1.000 1.200 1.440 THETA Y0 Y1 Y2 Y3 Y4 ________ ________ ________ ________ ________ Y0 5.832 Y1 0.000 10.081 Y2 0.000 0.000 11.830 Y3 0.000 0.000 0.000 12.155 Y4 0.000 0.000 0.000 0.000 12.616 Y5 0.000 0.000 0.000 0.000 0.000 THETA Y5 ________ Y5 12.016 ALPHA I S Q ________ ________ ________ 1 15.896 -17.988 10.275 BETA I S Q ________ ________ ________ I 0.000 0.000 0.000 S 0.000 0.000 0.000 Q 0.000 0.000 0.000 PSI I S Q ________ ________ ________ I 11.807 S 0.000 203.468 Q 0.000 0.000 233.785 STARTING VALUES FOR LATENT CLASS 2 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 ________ ________ ________ Y0 1.000 0.000 0.000 Y1 1.000 0.200 0.040 Y2 1.000 0.400 0.160 Y3 1.000 0.600 0.360 Y4 1.000 0.900 0.810 Y5 1.000 1.200 1.440 THETA Y0 Y1 Y2 Y3 Y4 ________ ________ ________ ________ ________ Y0 5.832 Y1 0.000 10.081 Y2 0.000 0.000 11.830 Y3 0.000 0.000 0.000 12.155 Y4 0.000 0.000 0.000 0.000 12.616 Y5 0.000 0.000 0.000 0.000 0.000 THETA Y5 ________ Y5 12.016 ALPHA I S Q ________ ________ ________ 1 15.896 -17.988 10.275 BETA I S Q ________ ________ ________ I 0.000 0.000 0.000 S 0.000 0.000 0.000 Q 0.000 0.000 0.000 PSI I S Q ________ ________ ________ I 11.807 S 0.000 203.468 Q 0.000 0.000 233.785 STARTING VALUES FOR LATENT CLASS 3 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 ________ ________ ________ Y0 1.000 0.000 0.000 Y1 1.000 0.200 0.040 Y2 1.000 0.400 0.160 Y3 1.000 0.600 0.360 Y4 1.000 0.900 0.810 Y5 1.000 1.200 1.440 THETA Y0 Y1 Y2 Y3 Y4 ________ ________ ________ ________ ________ Y0 5.832 Y1 0.000 10.081 Y2 0.000 0.000 11.830 Y3 0.000 0.000 0.000 12.155 Y4 0.000 0.000 0.000 0.000 12.616 Y5 0.000 0.000 0.000 0.000 0.000 THETA Y5 ________ Y5 12.016 ALPHA I S Q ________ ________ ________ 1 15.896 -17.988 10.275 BETA I S Q ________ ________ ________ I 0.000 0.000 0.000 S 0.000 0.000 0.000 Q 0.000 0.000 0.000 PSI I S Q ________ ________ ________ I 11.807 S 0.000 203.468 Q 0.000 0.000 233.785 STARTING VALUES FOR LATENT CLASS 4 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 ________ ________ ________ Y0 1.000 0.000 0.000 Y1 1.000 0.200 0.040 Y2 1.000 0.400 0.160 Y3 1.000 0.600 0.360 Y4 1.000 0.900 0.810 Y5 1.000 1.200 1.440 THETA Y0 Y1 Y2 Y3 Y4 ________ ________ ________ ________ ________ Y0 5.832 Y1 0.000 10.081 Y2 0.000 0.000 11.830 Y3 0.000 0.000 0.000 12.155 Y4 0.000 0.000 0.000 0.000 12.616 Y5 0.000 0.000 0.000 0.000 0.000 THETA Y5 ________ Y5 12.016 ALPHA I S Q ________ ________ ________ 1 15.896 -17.988 10.275 BETA I S Q ________ ________ ________ I 0.000 0.000 0.000 S 0.000 0.000 0.000 Q 0.000 0.000 0.000 PSI I S Q ________ ________ ________ I 11.807 S 0.000 203.468 Q 0.000 0.000 233.785 STARTING VALUES FOR LATENT CLASS REGRESSION MODEL PART ALPHA(C) C#1 C#2 C#3 C#4 ________ ________ ________ ________ 1 0.000 0.000 0.000 0.000 STARTING VALUES FOR THE CENSORED/NOMINAL/COUNT MODEL PART NU(P) FOR LATENT CLASS 1 TRTMT#1 TRTMT#2 TRTMT#3 ________ ________ ________ 1 -2.421 1.251 1.299 NU(P) FOR LATENT CLASS 2 TRTMT#1 TRTMT#2 TRTMT#3 ________ ________ ________ 1 -1.421 2.251 2.299 NU(P) FOR LATENT CLASS 3 TRTMT#1 TRTMT#2 TRTMT#3 ________ ________ ________ 1 -0.421 3.251 3.299 NU(P) FOR LATENT CLASS 4 TRTMT#1 TRTMT#2 TRTMT#3 ________ ________ ________ 1 0.579 4.251 4.299 SAMPLE STATISTICS FOR ESTIMATED FACTOR SCORES SAMPLE STATISTICS Means I S Q C_I C_S ________ ________ ________ ________ ________ 1 16.174 -16.556 8.873 16.142 -15.728 Means C_Q ________ 1 8.199 Covariances I S Q C_I C_S ________ ________ ________ ________ ________ I 5.439 S 3.686 48.443 Q -2.631 -29.027 21.092 C_I 5.546 3.685 -2.648 5.703 C_S 3.957 49.030 -28.784 3.792 54.529 C_Q -2.426 -29.050 20.741 -2.165 -32.805 Covariances C_Q ________ C_Q 24.467 Correlations I S Q C_I C_S ________ ________ ________ ________ ________ I 1.000 S 0.227 1.000 Q -0.246 -0.908 1.000 C_I 0.996 0.222 -0.241 1.000 C_S 0.230 0.954 -0.849 0.215 1.000 C_Q -0.210 -0.844 0.913 -0.183 -0.898 Correlations C_Q ________ C_Q 1.000 PLOT INFORMATION The following plots are available: Histograms (sample values, estimated factor scores, estimated values) Scatterplots (sample values, estimated factor scores, estimated values) Sample means Estimated means Sample and estimated means Observed individual values Estimated individual values Estimated means and observed individual values Estimated means and estimated individual values Mixture distributions Beginning Time: 05:09:43 Ending Time: 05:09:45 Elapsed Time: 00:00:02 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