Mplus DEVELOPMENT (Dev 07/22/2005) MUTHEN & MUTHEN 07/27/2005 3:28 PM INPUT INSTRUCTIONS Title: Filename is "ggmm_model1_3class.inp" 3-Class Model 1 (See text Section 6.2) Hopkins PRC Data, Cohort 1, Version 2, 5/3/00 (Derived from prc.hbrown.bmuthen.c1.v2.05032000.dat) Subgroup of males only All subjects with missing at all 9 time points are deleted Intervention group defined by status GBG/GBG (intngrp==4) Internal control group defined by status STD/GBG (intngrp==1) Growth factor covariances are fixed at zero Quadratic growth factor variance is fixed at zero Residual correlations between 1F,1S and 2F,2S are free Intercept factor and residual variances are constrained equal across classes 1 and 2 Intercept factor and residual variances are free for class 3 Data: File is c:\prc_cohort1_tocar_ggmm.dat; Variable: Names are PRCID DESGN11F DESGN11S DESGN12F DESGN12S GENDER AGE Y1F Y1S Y2F Y2S Y3S Y4S Y5S Y6S Y7S INTNGRP juvcrt removal; Missing are all (999); Useobservations are GENDER==1 AND (INTNGRP==11 OR INTNGRP==4); Usevariables are Y1F Y1S Y2F Y2S Y3S Y4S Y5S Y6S Y7S I; Classes=c(3); Define: I=(INTNGRP==4); Analysis: Type=Mixture Missing; Model: %Overall% eta0 eta1 eta2 | Y1F@0 Y1S@0.5 Y2F@1 Y2S@1.5 Y3S@2.5 Y4S@3.5 Y5S@4.5 Y6S@5.5 Y7S@6.5; eta0 with eta1@0; eta2@0 ; eta1 on I; eta2 on I; Y1F with Y1S; Y2F with Y2S; %c#1% [eta0*3.467 eta1* eta2*]; eta1 on I*; eta2 on I*; %c#2% [eta0*2.364 eta1* eta2*]; eta1 on I*; eta2 on I*; %c#3% [eta0*1.261 eta1* eta2*]; eta1 on I*; eta2 on I*; eta0; Y1F-Y7S; Output: Tech1 Tech3 Tech7 Tech8; Plot: type = plot3; series = y1f-y7s(eta1); *** WARNING in Model command All continuous latent variable covariances involving ETA2 have been fixed to 0 because the variance of ETA2 is fixed at 0. 1 WARNING(S) FOUND IN THE INPUT INSTRUCTIONS Filename is "ggmm_model1_3class.inp" 3-Class Model 1 (See text Section 6.2) Hopkins PRC Data, Cohort 1, Version 2, 5/3/00 (Derived from prc.hbrown.bmuthen.c1.v2.05032000.dat) Subgroup of males only All subjects with missing at all 9 time points are deleted Intervention group defined by status GBG/GBG (intngrp==4) Internal control group defined by status STD/GBG (intngrp==1) Growth factor covariances are fixed at zero Quadratic growth factor variance is fixed at zero Residual correlations between 1F,1S and 2F,2S are free Intercept factor and residual variances are constrained equal across classes 1 and 2 Intercept factor and residual variances are free for class 3 SUMMARY OF ANALYSIS Number of groups 1 Number of observations 199 Number of dependent variables 9 Number of independent variables 1 Number of continuous latent variables 3 Number of categorical latent variables 1 Observed dependent variables Continuous Y1F Y1S Y2F Y2S Y3S Y4S Y5S Y6S Y7S Observed independent variables I Continuous latent variables ETA0 ETA1 ETA2 Categorical latent variables C Estimator MLR Information matrix OBSERVED Optimization Specifications for the Quasi-Newton Algorithm for Continuous Outcomes Maximum number of iterations 1000 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 Number of initial stage starts 10 Number of final stage starts 1 Number of initial stage iterations 10 Initial stage convergence criterion 0.100D+01 Random starts scale 0.500D+01 Random seed for generating random starts 0 Input data file(s) c:\prc_cohort1_tocar_ggmm.dat Input data format FREE SUMMARY OF DATA Number of patterns 61 Number of y patterns 61 Number of u patterns 0 COVARIANCE COVERAGE OF DATA Minimum covariance coverage value 0.100 PROPORTION OF DATA PRESENT FOR Y Covariance Coverage Y1F Y1S Y2F Y2S Y3S ________ ________ ________ ________ ________ Y1F 0.925 Y1S 0.704 0.749 Y2F 0.709 0.628 0.754 Y2S 0.673 0.608 0.688 0.709 Y3S 0.528 0.472 0.538 0.543 0.558 Y4S 0.714 0.613 0.633 0.588 0.492 Y5S 0.613 0.543 0.563 0.543 0.462 Y6S 0.658 0.568 0.583 0.553 0.462 Y7S 0.623 0.543 0.553 0.533 0.437 I 0.925 0.749 0.754 0.709 0.558 Covariance Coverage Y4S Y5S Y6S Y7S I ________ ________ ________ ________ ________ Y4S 0.759 Y5S 0.623 0.663 Y6S 0.653 0.608 0.724 Y7S 0.613 0.578 0.648 0.673 I 0.759 0.663 0.724 0.673 1.000 RANDOM STARTS RESULTS RANKED FROM THE BEST TO THE WORST LOGLIKELIHOOD VALUES Initial stage loglikelihood values, seeds, and initial stage start numbers: -1612.839 unperturbed 0 -1615.587 93468 3 -1616.512 903420 5 -1623.864 608496 4 -1633.272 285380 1 -1634.597 939021 8 -1710.283 127215 9 -1725.299 462953 7 -1746.142 415931 10 -1772.610 253358 2 1 perturbed starting value run(s) did not converge. Loglikelihood values at local maxima, seeds, and initial stage start numbers: -1604.398 unperturbed 0 THE MODEL ESTIMATION TERMINATED NORMALLY TESTS OF MODEL FIT Loglikelihood H0 Value -1604.398 Information Criteria Number of Free Parameters 40 Akaike (AIC) 3288.796 Bayesian (BIC) 3420.528 Sample-Size Adjusted BIC 3293.806 (n* = (n + 2) / 24) Entropy 0.826 FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASSES BASED ON THE ESTIMATED MODEL Latent Classes 1 28.20927 0.14176 2 99.74190 0.50122 3 71.04883 0.35703 FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASS PATTERNS BASED ON ESTIMATED POSTERIOR PROBABILITIES Latent Classes 1 28.20927 0.14176 2 99.74190 0.50122 3 71.04883 0.35703 CLASSIFICATION OF INDIVIDUALS BASED ON THEIR MOST LIKELY LATENT CLASS MEMBERSHIP Class Counts and Proportions Latent Classes 1 27 0.13568 2 97 0.48744 3 75 0.37688 Average Latent Class Probabilities for Most Likely Latent Class Membership (Row) by Latent Class (Column) 1 2 3 1 0.860 0.140 0.000 2 0.051 0.931 0.018 3 0.000 0.076 0.924 MODEL RESULTS Estimates S.E. Est./S.E. Latent Class 1 ETA0 | Y1F 1.000 0.000 0.000 Y1S 1.000 0.000 0.000 Y2F 1.000 0.000 0.000 Y2S 1.000 0.000 0.000 Y3S 1.000 0.000 0.000 Y4S 1.000 0.000 0.000 Y5S 1.000 0.000 0.000 Y6S 1.000 0.000 0.000 Y7S 1.000 0.000 0.000 ETA1 | Y1F 0.000 0.000 0.000 Y1S 0.500 0.000 0.000 Y2F 1.000 0.000 0.000 Y2S 1.500 0.000 0.000 Y3S 2.500 0.000 0.000 Y4S 3.500 0.000 0.000 Y5S 4.500 0.000 0.000 Y6S 5.500 0.000 0.000 Y7S 6.500 0.000 0.000 ETA2 | Y1F 0.000 0.000 0.000 Y1S 0.250 0.000 0.000 Y2F 1.000 0.000 0.000 Y2S 2.250 0.000 0.000 Y3S 6.250 0.000 0.000 Y4S 12.250 0.000 0.000 Y5S 20.250 0.000 0.000 Y6S 30.250 0.000 0.000 Y7S 42.250 0.000 0.000 ETA1 ON I -0.451 0.198 -2.274 ETA2 ON I 0.056 0.044 1.262 ETA0 WITH ETA1 0.000 0.000 0.000 Y1F WITH Y1S 0.144 0.033 4.366 Y2F WITH Y2S 0.180 0.048 3.706 Means ETA0 4.110 0.649 6.333 Intercepts Y1F 0.000 0.000 0.000 Y1S 0.000 0.000 0.000 Y2F 0.000 0.000 0.000 Y2S 0.000 0.000 0.000 Y3S 0.000 0.000 0.000 Y4S 0.000 0.000 0.000 Y5S 0.000 0.000 0.000 Y6S 0.000 0.000 0.000 Y7S 0.000 0.000 0.000 ETA1 0.438 0.427 1.026 ETA2 -0.084 0.039 -2.177 Variances ETA0 0.085 0.047 1.819 Residual Variances Y1F 1.052 0.336 3.130 Y1S 0.616 0.128 4.806 Y2F 0.582 0.081 7.153 Y2S 0.721 0.104 6.905 Y3S 1.280 0.218 5.883 Y4S 0.911 0.192 4.744 Y5S 0.741 0.259 2.858 Y6S 1.199 0.144 8.338 Y7S 1.010 0.178 5.664 ETA1 0.006 0.002 2.319 ETA2 0.000 0.000 0.000 Latent Class 2 ETA0 | Y1F 1.000 0.000 0.000 Y1S 1.000 0.000 0.000 Y2F 1.000 0.000 0.000 Y2S 1.000 0.000 0.000 Y3S 1.000 0.000 0.000 Y4S 1.000 0.000 0.000 Y5S 1.000 0.000 0.000 Y6S 1.000 0.000 0.000 Y7S 1.000 0.000 0.000 ETA1 | Y1F 0.000 0.000 0.000 Y1S 0.500 0.000 0.000 Y2F 1.000 0.000 0.000 Y2S 1.500 0.000 0.000 Y3S 2.500 0.000 0.000 Y4S 3.500 0.000 0.000 Y5S 4.500 0.000 0.000 Y6S 5.500 0.000 0.000 Y7S 6.500 0.000 0.000 ETA2 | Y1F 0.000 0.000 0.000 Y1S 0.250 0.000 0.000 Y2F 1.000 0.000 0.000 Y2S 2.250 0.000 0.000 Y3S 6.250 0.000 0.000 Y4S 12.250 0.000 0.000 Y5S 20.250 0.000 0.000 Y6S 30.250 0.000 0.000 Y7S 42.250 0.000 0.000 ETA1 ON I -0.053 0.126 -0.424 ETA2 ON I 0.007 0.020 0.341 ETA0 WITH ETA1 0.000 0.000 0.000 Y1F WITH Y1S 0.144 0.033 4.366 Y2F WITH Y2S 0.180 0.048 3.706 Means ETA0 2.398 0.110 21.841 Intercepts Y1F 0.000 0.000 0.000 Y1S 0.000 0.000 0.000 Y2F 0.000 0.000 0.000 Y2S 0.000 0.000 0.000 Y3S 0.000 0.000 0.000 Y4S 0.000 0.000 0.000 Y5S 0.000 0.000 0.000 Y6S 0.000 0.000 0.000 Y7S 0.000 0.000 0.000 ETA1 0.155 0.175 0.885 ETA2 -0.014 0.022 -0.652 Variances ETA0 0.085 0.047 1.819 Residual Variances Y1F 1.052 0.336 3.130 Y1S 0.616 0.128 4.806 Y2F 0.582 0.081 7.153 Y2S 0.721 0.104 6.905 Y3S 1.280 0.218 5.883 Y4S 0.911 0.192 4.744 Y5S 0.741 0.259 2.858 Y6S 1.199 0.144 8.338 Y7S 1.010 0.178 5.664 ETA1 0.006 0.002 2.319 ETA2 0.000 0.000 0.000 Latent Class 3 ETA0 | Y1F 1.000 0.000 0.000 Y1S 1.000 0.000 0.000 Y2F 1.000 0.000 0.000 Y2S 1.000 0.000 0.000 Y3S 1.000 0.000 0.000 Y4S 1.000 0.000 0.000 Y5S 1.000 0.000 0.000 Y6S 1.000 0.000 0.000 Y7S 1.000 0.000 0.000 ETA1 | Y1F 0.000 0.000 0.000 Y1S 0.500 0.000 0.000 Y2F 1.000 0.000 0.000 Y2S 1.500 0.000 0.000 Y3S 2.500 0.000 0.000 Y4S 3.500 0.000 0.000 Y5S 4.500 0.000 0.000 Y6S 5.500 0.000 0.000 Y7S 6.500 0.000 0.000 ETA2 | Y1F 0.000 0.000 0.000 Y1S 0.250 0.000 0.000 Y2F 1.000 0.000 0.000 Y2S 2.250 0.000 0.000 Y3S 6.250 0.000 0.000 Y4S 12.250 0.000 0.000 Y5S 20.250 0.000 0.000 Y6S 30.250 0.000 0.000 Y7S 42.250 0.000 0.000 ETA1 ON I -0.044 0.077 -0.574 ETA2 ON I 0.009 0.012 0.770 ETA0 WITH ETA1 0.000 0.000 0.000 Y1F WITH Y1S 0.144 0.033 4.366 Y2F WITH Y2S 0.180 0.048 3.706 Means ETA0 1.479 0.059 25.120 Intercepts Y1F 0.000 0.000 0.000 Y1S 0.000 0.000 0.000 Y2F 0.000 0.000 0.000 Y2S 0.000 0.000 0.000 Y3S 0.000 0.000 0.000 Y4S 0.000 0.000 0.000 Y5S 0.000 0.000 0.000 Y6S 0.000 0.000 0.000 Y7S 0.000 0.000 0.000 ETA1 0.049 0.068 0.720 ETA2 -0.007 0.010 -0.740 Variances ETA0 0.000 0.018 0.020 Residual Variances Y1F 0.169 0.036 4.653 Y1S 0.197 0.033 6.042 Y2F 0.237 0.053 4.444 Y2S 0.243 0.053 4.553 Y3S 0.198 0.060 3.276 Y4S 0.326 0.138 2.353 Y5S 0.211 0.086 2.447 Y6S 0.148 0.065 2.276 Y7S 0.099 0.047 2.112 ETA1 0.006 0.002 2.319 ETA2 0.000 0.000 0.000 Categorical Latent Variables Means C#1 -0.924 0.379 -2.439 C#2 0.339 0.202 1.678 QUALITY OF NUMERICAL RESULTS Condition Number for the Information Matrix 0.313E-05 (ratio of smallest to largest eigenvalue) TECHNICAL 1 OUTPUT PARAMETER SPECIFICATION FOR LATENT CLASS 1 NU Y1F Y1S Y2F Y2S Y3S ________ ________ ________ ________ ________ 1 0 0 0 0 0 NU Y4S Y5S Y6S Y7S I ________ ________ ________ ________ ________ 1 0 0 0 0 0 LAMBDA ETA0 ETA1 ETA2 I ________ ________ ________ ________ Y1F 0 0 0 0 Y1S 0 0 0 0 Y2F 0 0 0 0 Y2S 0 0 0 0 Y3S 0 0 0 0 Y4S 0 0 0 0 Y5S 0 0 0 0 Y6S 0 0 0 0 Y7S 0 0 0 0 I 0 0 0 0 THETA Y1F Y1S Y2F Y2S Y3S ________ ________ ________ ________ ________ Y1F 1 Y1S 2 3 Y2F 0 0 4 Y2S 0 0 5 6 Y3S 0 0 0 0 7 Y4S 0 0 0 0 0 Y5S 0 0 0 0 0 Y6S 0 0 0 0 0 Y7S 0 0 0 0 0 I 0 0 0 0 0 THETA Y4S Y5S Y6S Y7S I ________ ________ ________ ________ ________ Y4S 8 Y5S 0 9 Y6S 0 0 10 Y7S 0 0 0 11 I 0 0 0 0 0 ALPHA ETA0 ETA1 ETA2 I ________ ________ ________ ________ 1 12 13 14 0 BETA ETA0 ETA1 ETA2 I ________ ________ ________ ________ ETA0 0 0 0 0 ETA1 0 0 0 15 ETA2 0 0 0 16 I 0 0 0 0 PSI ETA0 ETA1 ETA2 I ________ ________ ________ ________ ETA0 17 ETA1 0 18 ETA2 0 0 0 I 0 0 0 0 PARAMETER SPECIFICATION FOR LATENT CLASS 2 NU Y1F Y1S Y2F Y2S Y3S ________ ________ ________ ________ ________ 1 0 0 0 0 0 NU Y4S Y5S Y6S Y7S I ________ ________ ________ ________ ________ 1 0 0 0 0 0 LAMBDA ETA0 ETA1 ETA2 I ________ ________ ________ ________ Y1F 0 0 0 0 Y1S 0 0 0 0 Y2F 0 0 0 0 Y2S 0 0 0 0 Y3S 0 0 0 0 Y4S 0 0 0 0 Y5S 0 0 0 0 Y6S 0 0 0 0 Y7S 0 0 0 0 I 0 0 0 0 THETA Y1F Y1S Y2F Y2S Y3S ________ ________ ________ ________ ________ Y1F 1 Y1S 2 3 Y2F 0 0 4 Y2S 0 0 5 6 Y3S 0 0 0 0 7 Y4S 0 0 0 0 0 Y5S 0 0 0 0 0 Y6S 0 0 0 0 0 Y7S 0 0 0 0 0 I 0 0 0 0 0 THETA Y4S Y5S Y6S Y7S I ________ ________ ________ ________ ________ Y4S 8 Y5S 0 9 Y6S 0 0 10 Y7S 0 0 0 11 I 0 0 0 0 0 ALPHA ETA0 ETA1 ETA2 I ________ ________ ________ ________ 1 19 20 21 0 BETA ETA0 ETA1 ETA2 I ________ ________ ________ ________ ETA0 0 0 0 0 ETA1 0 0 0 22 ETA2 0 0 0 23 I 0 0 0 0 PSI ETA0 ETA1 ETA2 I ________ ________ ________ ________ ETA0 17 ETA1 0 18 ETA2 0 0 0 I 0 0 0 0 PARAMETER SPECIFICATION FOR LATENT CLASS 3 NU Y1F Y1S Y2F Y2S Y3S ________ ________ ________ ________ ________ 1 0 0 0 0 0 NU Y4S Y5S Y6S Y7S I ________ ________ ________ ________ ________ 1 0 0 0 0 0 LAMBDA ETA0 ETA1 ETA2 I ________ ________ ________ ________ Y1F 0 0 0 0 Y1S 0 0 0 0 Y2F 0 0 0 0 Y2S 0 0 0 0 Y3S 0 0 0 0 Y4S 0 0 0 0 Y5S 0 0 0 0 Y6S 0 0 0 0 Y7S 0 0 0 0 I 0 0 0 0 THETA Y1F Y1S Y2F Y2S Y3S ________ ________ ________ ________ ________ Y1F 24 Y1S 2 25 Y2F 0 0 26 Y2S 0 0 5 27 Y3S 0 0 0 0 28 Y4S 0 0 0 0 0 Y5S 0 0 0 0 0 Y6S 0 0 0 0 0 Y7S 0 0 0 0 0 I 0 0 0 0 0 THETA Y4S Y5S Y6S Y7S I ________ ________ ________ ________ ________ Y4S 29 Y5S 0 30 Y6S 0 0 31 Y7S 0 0 0 32 I 0 0 0 0 0 ALPHA ETA0 ETA1 ETA2 I ________ ________ ________ ________ 1 33 34 35 0 BETA ETA0 ETA1 ETA2 I ________ ________ ________ ________ ETA0 0 0 0 0 ETA1 0 0 0 36 ETA2 0 0 0 37 I 0 0 0 0 PSI ETA0 ETA1 ETA2 I ________ ________ ________ ________ ETA0 38 ETA1 0 18 ETA2 0 0 0 I 0 0 0 0 PARAMETER SPECIFICATION FOR LATENT CLASS REGRESSION MODEL PART ALPHA(C) C#1 C#2 C#3 ________ ________ ________ 1 39 40 0 GAMMA(C) I ________ C#1 0 C#2 0 C#3 0 STARTING VALUES FOR LATENT CLASS 1 NU Y1F Y1S Y2F Y2S Y3S ________ ________ ________ ________ ________ 1 0.000 0.000 0.000 0.000 0.000 NU Y4S Y5S Y6S Y7S I ________ ________ ________ ________ ________ 1 0.000 0.000 0.000 0.000 0.000 LAMBDA ETA0 ETA1 ETA2 I ________ ________ ________ ________ Y1F 1.000 0.000 0.000 0.000 Y1S 1.000 0.500 0.250 0.000 Y2F 1.000 1.000 1.000 0.000 Y2S 1.000 1.500 2.250 0.000 Y3S 1.000 2.500 6.250 0.000 Y4S 1.000 3.500 12.250 0.000 Y5S 1.000 4.500 20.250 0.000 Y6S 1.000 5.500 30.250 0.000 Y7S 1.000 6.500 42.250 0.000 I 0.000 0.000 0.000 1.000 THETA Y1F Y1S Y2F Y2S Y3S ________ ________ ________ ________ ________ Y1F 0.792 Y1S 0.000 0.490 Y2F 0.000 0.000 0.665 Y2S 0.000 0.000 0.000 0.638 Y3S 0.000 0.000 0.000 0.000 0.846 Y4S 0.000 0.000 0.000 0.000 0.000 Y5S 0.000 0.000 0.000 0.000 0.000 Y6S 0.000 0.000 0.000 0.000 0.000 Y7S 0.000 0.000 0.000 0.000 0.000 I 0.000 0.000 0.000 0.000 0.000 THETA Y4S Y5S Y6S Y7S I ________ ________ ________ ________ ________ Y4S 0.803 Y5S 0.000 0.643 Y6S 0.000 0.000 0.859 Y7S 0.000 0.000 0.000 0.638 I 0.000 0.000 0.000 0.000 0.000 ALPHA ETA0 ETA1 ETA2 I ________ ________ ________ ________ 1 3.467 0.004 0.011 0.000 BETA ETA0 ETA1 ETA2 I ________ ________ ________ ________ ETA0 0.000 0.000 0.000 0.000 ETA1 0.000 0.000 0.000 0.000 ETA2 0.000 0.000 0.000 0.000 I 0.000 0.000 0.000 0.000 PSI ETA0 ETA1 ETA2 I ________ ________ ________ ________ ETA0 1.525 ETA1 0.000 0.918 ETA2 0.000 0.000 0.000 I 0.000 0.000 0.000 0.121 STARTING VALUES FOR LATENT CLASS 2 NU Y1F Y1S Y2F Y2S Y3S ________ ________ ________ ________ ________ 1 0.000 0.000 0.000 0.000 0.000 NU Y4S Y5S Y6S Y7S I ________ ________ ________ ________ ________ 1 0.000 0.000 0.000 0.000 0.000 LAMBDA ETA0 ETA1 ETA2 I ________ ________ ________ ________ Y1F 1.000 0.000 0.000 0.000 Y1S 1.000 0.500 0.250 0.000 Y2F 1.000 1.000 1.000 0.000 Y2S 1.000 1.500 2.250 0.000 Y3S 1.000 2.500 6.250 0.000 Y4S 1.000 3.500 12.250 0.000 Y5S 1.000 4.500 20.250 0.000 Y6S 1.000 5.500 30.250 0.000 Y7S 1.000 6.500 42.250 0.000 I 0.000 0.000 0.000 1.000 THETA Y1F Y1S Y2F Y2S Y3S ________ ________ ________ ________ ________ Y1F 0.792 Y1S 0.000 0.490 Y2F 0.000 0.000 0.665 Y2S 0.000 0.000 0.000 0.638 Y3S 0.000 0.000 0.000 0.000 0.846 Y4S 0.000 0.000 0.000 0.000 0.000 Y5S 0.000 0.000 0.000 0.000 0.000 Y6S 0.000 0.000 0.000 0.000 0.000 Y7S 0.000 0.000 0.000 0.000 0.000 I 0.000 0.000 0.000 0.000 0.000 THETA Y4S Y5S Y6S Y7S I ________ ________ ________ ________ ________ Y4S 0.803 Y5S 0.000 0.643 Y6S 0.000 0.000 0.859 Y7S 0.000 0.000 0.000 0.638 I 0.000 0.000 0.000 0.000 0.000 ALPHA ETA0 ETA1 ETA2 I ________ ________ ________ ________ 1 2.364 0.004 0.011 0.000 BETA ETA0 ETA1 ETA2 I ________ ________ ________ ________ ETA0 0.000 0.000 0.000 0.000 ETA1 0.000 0.000 0.000 0.000 ETA2 0.000 0.000 0.000 0.000 I 0.000 0.000 0.000 0.000 PSI ETA0 ETA1 ETA2 I ________ ________ ________ ________ ETA0 1.525 ETA1 0.000 0.918 ETA2 0.000 0.000 0.000 I 0.000 0.000 0.000 0.121 STARTING VALUES FOR LATENT CLASS 3 NU Y1F Y1S Y2F Y2S Y3S ________ ________ ________ ________ ________ 1 0.000 0.000 0.000 0.000 0.000 NU Y4S Y5S Y6S Y7S I ________ ________ ________ ________ ________ 1 0.000 0.000 0.000 0.000 0.000 LAMBDA ETA0 ETA1 ETA2 I ________ ________ ________ ________ Y1F 1.000 0.000 0.000 0.000 Y1S 1.000 0.500 0.250 0.000 Y2F 1.000 1.000 1.000 0.000 Y2S 1.000 1.500 2.250 0.000 Y3S 1.000 2.500 6.250 0.000 Y4S 1.000 3.500 12.250 0.000 Y5S 1.000 4.500 20.250 0.000 Y6S 1.000 5.500 30.250 0.000 Y7S 1.000 6.500 42.250 0.000 I 0.000 0.000 0.000 1.000 THETA Y1F Y1S Y2F Y2S Y3S ________ ________ ________ ________ ________ Y1F 0.792 Y1S 0.000 0.490 Y2F 0.000 0.000 0.665 Y2S 0.000 0.000 0.000 0.638 Y3S 0.000 0.000 0.000 0.000 0.846 Y4S 0.000 0.000 0.000 0.000 0.000 Y5S 0.000 0.000 0.000 0.000 0.000 Y6S 0.000 0.000 0.000 0.000 0.000 Y7S 0.000 0.000 0.000 0.000 0.000 I 0.000 0.000 0.000 0.000 0.000 THETA Y4S Y5S Y6S Y7S I ________ ________ ________ ________ ________ Y4S 0.803 Y5S 0.000 0.643 Y6S 0.000 0.000 0.859 Y7S 0.000 0.000 0.000 0.638 I 0.000 0.000 0.000 0.000 0.000 ALPHA ETA0 ETA1 ETA2 I ________ ________ ________ ________ 1 1.261 0.004 0.011 0.000 BETA ETA0 ETA1 ETA2 I ________ ________ ________ ________ ETA0 0.000 0.000 0.000 0.000 ETA1 0.000 0.000 0.000 0.000 ETA2 0.000 0.000 0.000 0.000 I 0.000 0.000 0.000 0.000 PSI ETA0 ETA1 ETA2 I ________ ________ ________ ________ ETA0 1.525 ETA1 0.000 0.918 ETA2 0.000 0.000 0.000 I 0.000 0.000 0.000 0.121 STARTING VALUES FOR LATENT CLASS REGRESSION MODEL PART ALPHA(C) C#1 C#2 C#3 ________ ________ ________ 1 0.000 0.000 0.000 GAMMA(C) I ________ C#1 0.000 C#2 0.000 C#3 0.000 TECHNICAL 3 OUTPUT ESTIMATED COVARIANCE MATRIX FOR PARAMETER ESTIMATES 1 2 3 4 5 ________ ________ ________ ________ ________ 1 0.113 2 0.001 0.001 3 0.025 0.001 0.016 4 -0.005 0.000 -0.002 0.007 5 -0.004 0.000 -0.001 0.001 0.002 6 -0.006 0.000 -0.002 0.002 0.001 7 0.002 0.000 -0.002 0.002 0.001 8 -0.040 0.000 -0.011 0.005 0.002 9 -0.060 -0.001 -0.018 0.006 0.002 10 0.000 0.000 -0.001 0.000 0.000 11 0.009 -0.001 0.004 -0.001 -0.001 12 -0.186 -0.003 -0.051 0.014 0.009 13 0.124 0.002 0.032 -0.008 -0.005 14 -0.009 0.000 -0.002 0.000 0.000 15 0.002 0.000 0.000 0.000 -0.001 16 -0.008 0.000 -0.002 0.001 0.001 17 -0.010 0.000 -0.003 0.000 0.000 18 0.000 0.000 0.000 0.000 0.000 19 0.012 0.000 0.004 0.002 -0.001 20 -0.041 0.000 -0.011 0.002 0.002 21 0.005 0.000 0.001 0.000 0.000 22 0.007 0.000 0.000 0.000 0.000 23 0.001 0.000 0.001 0.000 0.000 24 0.001 0.001 0.000 0.000 0.000 25 0.001 0.001 0.001 0.000 0.000 26 -0.004 0.000 -0.001 0.001 0.002 27 -0.003 0.000 -0.001 0.001 0.002 28 0.001 0.000 0.001 0.000 0.000 29 0.004 0.000 0.002 0.000 -0.001 30 0.002 0.000 0.001 0.000 0.000 31 0.002 0.000 0.001 0.000 0.000 32 0.000 0.000 0.000 0.000 0.000 33 0.000 0.001 0.000 0.000 0.001 34 0.000 0.000 0.001 0.000 0.000 35 0.000 0.000 0.000 0.000 0.000 36 0.002 0.000 0.000 0.000 -0.001 37 0.000 0.000 0.000 0.000 0.000 38 0.001 0.000 0.000 0.000 0.000 39 0.069 0.001 0.020 -0.009 -0.004 40 -0.024 -0.001 -0.008 0.002 0.002 ESTIMATED COVARIANCE MATRIX FOR PARAMETER ESTIMATES 6 7 8 9 10 ________ ________ ________ ________ ________ 6 0.011 7 -0.002 0.047 8 0.001 0.004 0.037 9 0.009 -0.009 0.032 0.067 10 0.002 0.002 0.005 0.001 0.021 11 -0.001 0.000 -0.004 -0.004 0.000 12 0.019 -0.003 0.081 0.131 0.004 13 -0.010 0.006 -0.056 -0.092 -0.003 14 0.001 -0.001 0.004 0.007 0.000 15 0.001 -0.009 0.004 0.016 0.002 16 0.000 0.001 0.003 0.003 0.000 17 0.000 -0.001 0.004 0.008 0.000 18 0.000 0.000 0.000 0.000 0.000 19 0.000 0.003 -0.006 -0.008 0.000 20 0.003 -0.008 0.023 0.034 0.002 21 0.000 0.001 -0.003 -0.004 0.000 22 0.001 0.008 -0.006 -0.007 0.000 23 0.000 -0.001 0.000 0.000 0.000 24 0.000 0.000 0.000 0.000 0.000 25 0.000 0.000 0.000 -0.001 0.000 26 0.001 0.001 0.002 0.003 0.000 27 0.000 0.001 0.002 0.002 0.001 28 0.000 0.001 0.000 0.001 0.001 29 0.001 0.003 -0.001 -0.001 0.000 30 0.000 0.001 0.000 -0.001 0.000 31 0.000 0.001 0.000 0.000 0.001 32 0.000 0.000 0.000 0.001 0.000 33 0.001 0.000 0.001 0.002 0.001 34 0.000 0.002 0.001 0.001 0.001 35 0.000 0.000 0.000 0.000 0.000 36 -0.001 -0.001 -0.002 -0.002 0.000 37 0.000 0.000 0.000 0.000 0.000 38 0.000 0.000 0.000 0.000 0.000 39 -0.007 0.001 -0.033 -0.058 -0.004 40 0.001 -0.003 0.007 0.013 -0.002 ESTIMATED COVARIANCE MATRIX FOR PARAMETER ESTIMATES 11 12 13 14 15 ________ ________ ________ ________ ________ 11 0.032 12 -0.015 0.421 13 0.007 -0.264 0.182 14 0.000 0.020 -0.015 0.001 15 0.001 -0.001 -0.015 0.002 0.039 16 -0.001 0.016 -0.008 0.000 -0.007 17 -0.001 0.020 -0.014 0.001 0.001 18 0.000 0.001 0.000 0.000 0.000 19 0.001 -0.014 0.011 -0.001 0.002 20 -0.005 0.083 -0.055 0.004 0.002 21 0.000 -0.009 0.006 0.000 0.000 22 0.003 -0.017 0.012 -0.001 -0.002 23 0.000 -0.001 0.001 0.000 0.000 24 -0.001 -0.002 0.001 0.000 0.000 25 -0.001 -0.003 0.002 0.000 0.000 26 -0.001 0.009 -0.006 0.000 -0.001 27 0.000 0.008 -0.005 0.000 -0.001 28 0.000 0.000 0.000 0.000 0.000 29 0.000 -0.003 0.003 0.000 0.000 30 0.000 -0.002 0.001 0.000 0.000 31 0.001 -0.002 0.002 0.000 0.000 32 0.000 0.000 0.000 0.000 0.000 33 0.000 0.002 -0.002 0.000 0.000 34 0.000 0.002 -0.001 0.000 0.000 35 0.000 0.000 0.000 0.000 0.000 36 0.001 -0.006 0.004 0.000 0.000 37 0.000 0.001 0.000 0.000 0.000 38 0.001 -0.001 0.000 0.000 0.000 39 0.006 -0.170 0.105 -0.008 -0.010 40 -0.003 0.047 -0.029 0.002 0.001 ESTIMATED COVARIANCE MATRIX FOR PARAMETER ESTIMATES 16 17 18 19 20 ________ ________ ________ ________ ________ 16 0.002 17 0.001 0.002 18 0.000 0.000 0.000 19 -0.001 -0.001 0.000 0.012 20 0.003 0.005 0.000 -0.010 0.030 21 0.000 0.000 0.000 0.001 -0.004 22 -0.001 -0.001 0.000 0.002 -0.013 23 0.000 0.000 0.000 0.000 0.001 24 0.000 0.000 0.000 0.000 0.000 25 0.000 0.000 0.000 0.000 0.000 26 0.001 0.000 0.000 -0.001 0.002 27 0.000 0.000 0.000 0.000 0.001 28 0.000 0.000 0.000 0.001 0.000 29 0.000 -0.001 0.000 0.004 -0.002 30 0.000 0.000 0.000 0.001 -0.001 31 0.000 0.000 0.000 0.001 0.000 32 0.000 0.000 0.000 0.000 0.000 33 0.000 0.000 0.000 0.000 0.001 34 0.000 0.000 0.000 0.001 0.000 35 0.000 0.000 0.000 0.000 0.000 36 0.000 0.000 0.000 0.000 -0.002 37 0.000 0.000 0.000 0.000 0.000 38 0.000 0.000 0.000 0.000 0.000 39 -0.005 -0.009 0.000 -0.002 -0.034 40 0.002 0.003 0.000 -0.003 0.008 ESTIMATED COVARIANCE MATRIX FOR PARAMETER ESTIMATES 21 22 23 24 25 ________ ________ ________ ________ ________ 21 0.000 22 0.002 0.016 23 0.000 -0.002 0.000 24 0.000 0.000 0.000 0.001 25 0.000 0.000 0.000 0.001 0.001 26 0.000 0.000 0.000 0.001 0.000 27 0.000 0.000 0.000 0.000 0.000 28 0.000 0.000 0.000 0.000 0.000 29 0.000 -0.001 0.000 -0.001 0.000 30 0.000 0.000 0.000 0.000 0.000 31 0.000 0.000 0.000 -0.001 0.000 32 0.000 0.000 0.000 0.000 0.000 33 0.000 -0.001 0.000 0.001 0.001 34 0.000 -0.001 0.000 0.000 0.000 35 0.000 0.000 0.000 0.000 0.000 36 0.000 0.001 0.000 -0.001 0.000 37 0.000 0.000 0.000 0.000 0.000 38 0.000 0.000 0.000 0.000 0.000 39 0.004 0.007 0.001 0.001 0.001 40 -0.001 0.000 0.000 0.000 -0.001 ESTIMATED COVARIANCE MATRIX FOR PARAMETER ESTIMATES 26 27 28 29 30 ________ ________ ________ ________ ________ 26 0.003 27 0.002 0.003 28 0.000 0.000 0.004 29 -0.001 0.000 0.003 0.019 30 0.000 0.001 0.000 0.001 0.007 31 -0.001 0.000 0.001 0.002 -0.001 32 0.000 0.000 0.000 -0.001 -0.001 33 0.001 0.000 0.000 -0.001 -0.001 34 0.000 0.001 0.003 0.005 0.003 35 0.000 0.000 0.000 -0.001 0.000 36 -0.001 -0.001 -0.001 0.000 -0.002 37 0.000 0.000 0.000 0.000 0.000 38 0.000 0.000 0.000 0.000 0.000 39 -0.004 -0.004 -0.002 -0.004 -0.001 40 0.002 0.002 -0.003 -0.006 -0.002 ESTIMATED COVARIANCE MATRIX FOR PARAMETER ESTIMATES 31 32 33 34 35 ________ ________ ________ ________ ________ 31 0.004 32 0.002 0.002 33 0.000 0.000 0.003 34 0.001 0.000 -0.001 0.005 35 0.000 0.000 0.000 -0.001 0.000 36 0.001 0.001 -0.001 -0.003 0.000 37 0.000 0.000 0.000 0.000 0.000 38 0.000 0.000 0.000 0.000 0.000 39 -0.001 -0.001 -0.002 -0.004 0.000 40 -0.003 -0.001 -0.001 -0.004 0.000 ESTIMATED COVARIANCE MATRIX FOR PARAMETER ESTIMATES 36 37 38 39 40 ________ ________ ________ ________ ________ 36 0.006 37 -0.001 0.000 38 0.000 0.000 0.000 39 0.004 0.000 0.000 0.143 40 0.002 0.000 -0.001 -0.003 0.041 ESTIMATED CORRELATION MATRIX FOR PARAMETER ESTIMATES 1 2 3 4 5 ________ ________ ________ ________ ________ 1 1.000 2 0.118 1.000 3 0.588 0.133 1.000 4 -0.175 -0.113 -0.195 1.000 5 -0.247 -0.066 -0.227 0.249 1.000 6 -0.160 -0.076 -0.117 0.230 0.107 7 0.029 -0.034 -0.062 0.090 0.068 8 -0.626 -0.050 -0.432 0.293 0.248 9 -0.693 -0.076 -0.532 0.301 0.190 10 0.000 -0.061 -0.032 0.043 0.054 11 0.151 -0.108 0.159 -0.103 -0.098 12 -0.851 -0.130 -0.612 0.262 0.296 13 0.864 0.118 0.591 -0.220 -0.265 14 -0.729 -0.111 -0.481 0.150 0.210 15 0.024 0.049 -0.002 -0.024 -0.121 16 -0.539 -0.102 -0.365 0.160 0.253 17 -0.602 -0.088 -0.509 0.089 0.155 18 -0.364 0.305 -0.181 0.054 0.154 19 0.338 0.002 0.295 0.260 -0.149 20 -0.699 0.002 -0.479 0.144 0.220 21 0.633 0.005 0.424 -0.169 -0.201 22 0.175 -0.091 -0.017 0.017 0.029 23 0.091 0.100 0.218 -0.063 -0.111 24 0.072 0.870 0.078 -0.044 0.162 25 0.134 0.848 0.131 -0.093 -0.076 26 -0.218 0.029 -0.191 0.209 0.880 27 -0.176 -0.004 -0.164 0.206 0.807 28 0.047 -0.004 0.069 0.039 -0.004 29 0.076 -0.051 0.095 0.026 -0.106 30 0.055 0.100 0.059 -0.008 -0.060 31 0.093 -0.121 0.087 0.039 -0.118 32 0.016 0.032 0.033 0.034 -0.067 33 -0.014 0.337 0.015 0.091 0.317 34 0.016 -0.039 0.059 0.013 -0.072 35 -0.035 0.093 -0.052 -0.011 0.049 36 0.066 -0.144 0.015 -0.037 -0.201 37 -0.052 0.091 -0.023 0.031 0.185 38 0.101 -0.313 0.082 -0.011 -0.240 39 0.546 0.085 0.414 -0.303 -0.199 40 -0.349 -0.086 -0.310 0.125 0.234 ESTIMATED CORRELATION MATRIX FOR PARAMETER ESTIMATES 6 7 8 9 10 ________ ________ ________ ________ ________ 6 1.000 7 -0.100 1.000 8 0.074 0.088 1.000 9 0.324 -0.167 0.642 1.000 10 0.136 0.070 0.177 0.040 1.000 11 -0.068 0.008 -0.121 -0.088 -0.014 12 0.282 -0.023 0.652 0.780 0.039 13 -0.218 0.067 -0.683 -0.834 -0.043 14 0.134 -0.062 0.591 0.728 0.040 15 0.040 -0.220 0.097 0.309 0.063 16 0.105 0.120 0.314 0.258 -0.042 17 0.046 -0.114 0.471 0.632 -0.002 18 0.144 -0.080 0.311 0.340 -0.166 19 -0.012 0.107 -0.286 -0.265 -0.008 20 0.147 -0.202 0.673 0.754 0.066 21 -0.129 0.252 -0.600 -0.672 -0.024 22 0.042 0.299 -0.233 -0.214 -0.024 23 -0.100 -0.324 -0.031 -0.077 -0.011 24 -0.024 -0.049 -0.028 -0.048 -0.042 25 -0.079 -0.038 -0.065 -0.086 -0.055 26 0.113 0.049 0.234 0.186 0.053 27 0.087 0.105 0.206 0.147 0.093 28 0.069 0.099 0.023 0.044 0.093 29 0.049 0.096 -0.054 -0.029 -0.001 30 0.035 0.070 -0.022 -0.033 0.023 31 -0.001 0.054 -0.021 -0.006 0.084 32 -0.010 0.009 0.041 0.042 0.049 33 0.105 -0.016 0.083 0.099 0.071 34 0.070 0.123 0.052 0.066 0.072 35 -0.059 -0.125 -0.034 -0.048 -0.127 36 -0.096 -0.048 -0.119 -0.123 -0.041 37 0.074 0.046 0.096 0.100 0.062 38 0.009 0.058 -0.005 0.016 0.158 39 -0.165 0.017 -0.448 -0.589 -0.072 40 0.032 -0.071 0.188 0.250 -0.058 ESTIMATED CORRELATION MATRIX FOR PARAMETER ESTIMATES 11 12 13 14 15 ________ ________ ________ ________ ________ 11 1.000 12 -0.127 1.000 13 0.089 -0.954 1.000 14 0.057 0.807 -0.916 1.000 15 0.028 -0.007 -0.173 0.278 1.000 16 -0.135 0.571 -0.425 0.185 -0.766 17 -0.068 0.662 -0.689 0.624 0.135 18 -0.336 0.416 -0.387 0.258 -0.021 19 0.050 -0.201 0.239 -0.195 0.113 20 -0.155 0.730 -0.742 0.597 0.053 21 0.107 -0.654 0.667 -0.545 -0.059 22 0.129 -0.205 0.222 -0.142 -0.088 23 -0.033 -0.102 0.078 -0.093 0.083 24 -0.100 -0.084 0.079 -0.077 0.016 25 -0.093 -0.153 0.140 -0.127 0.053 26 -0.098 0.270 -0.244 0.190 -0.098 27 -0.047 0.232 -0.205 0.165 -0.098 28 0.040 0.010 -0.001 -0.011 0.017 29 0.008 -0.030 0.045 -0.055 0.010 30 0.007 -0.031 0.038 -0.039 0.008 31 0.105 -0.058 0.057 -0.041 0.028 32 0.051 0.006 -0.011 0.014 0.029 33 -0.014 0.064 -0.060 0.040 0.005 34 0.010 0.051 -0.038 0.012 0.017 35 -0.066 -0.023 0.014 -0.003 -0.009 36 0.062 -0.122 0.110 -0.069 0.005 37 -0.023 0.096 -0.088 0.061 -0.009 38 0.170 -0.059 0.045 -0.017 0.056 39 0.091 -0.691 0.651 -0.542 -0.127 40 -0.081 0.355 -0.339 0.293 0.025 ESTIMATED CORRELATION MATRIX FOR PARAMETER ESTIMATES 16 17 18 19 20 ________ ________ ________ ________ ________ 16 1.000 17 0.290 1.000 18 0.299 0.121 1.000 19 -0.247 -0.124 -0.107 1.000 20 0.431 0.561 0.480 -0.502 1.000 21 -0.374 -0.486 -0.465 0.423 -0.961 22 -0.102 -0.225 -0.326 0.111 -0.598 23 -0.090 -0.019 0.181 0.032 0.296 24 -0.055 -0.043 0.212 -0.053 0.019 25 -0.121 -0.085 0.251 0.014 -0.017 26 0.225 0.133 0.192 -0.140 0.225 27 0.195 0.105 0.051 -0.059 0.141 28 -0.004 -0.042 0.036 0.159 -0.004 29 -0.022 -0.132 0.203 0.231 -0.067 30 -0.024 -0.117 0.088 0.146 -0.062 31 -0.060 -0.058 -0.180 0.135 -0.044 32 -0.019 -0.015 -0.066 0.046 0.049 33 0.038 0.049 0.043 -0.048 0.118 34 0.024 -0.072 0.192 0.198 0.033 35 -0.007 0.028 0.044 -0.171 0.015 36 -0.086 -0.025 -0.269 -0.013 -0.148 37 0.068 0.050 0.100 -0.011 0.103 38 -0.083 0.030 -0.376 0.079 -0.052 39 -0.288 -0.502 -0.321 -0.056 -0.510 40 0.175 0.304 0.114 -0.141 0.233 ESTIMATED CORRELATION MATRIX FOR PARAMETER ESTIMATES 21 22 23 24 25 ________ ________ ________ ________ ________ 21 1.000 22 0.631 1.000 23 -0.420 -0.894 1.000 24 -0.011 -0.044 0.049 1.000 25 0.024 -0.076 0.091 0.654 1.000 26 -0.205 -0.006 -0.073 0.285 0.008 27 -0.120 0.050 -0.114 0.116 -0.070 28 0.035 -0.053 0.013 -0.064 0.042 29 0.070 -0.046 0.048 -0.181 -0.020 30 0.059 -0.010 0.026 0.050 -0.053 31 0.040 -0.005 0.009 -0.223 -0.031 32 -0.056 -0.053 0.040 -0.086 0.098 33 -0.094 -0.070 0.018 0.515 0.292 34 -0.007 -0.102 0.053 -0.172 -0.125 35 -0.050 0.034 0.010 0.161 0.199 36 0.116 0.123 -0.048 -0.191 0.095 37 -0.071 -0.063 0.000 0.155 -0.170 38 0.074 -0.005 -0.013 -0.422 -0.222 39 0.460 0.142 0.088 0.068 0.097 40 -0.221 0.017 -0.105 -0.013 -0.104 ESTIMATED CORRELATION MATRIX FOR PARAMETER ESTIMATES 26 27 28 29 30 ________ ________ ________ ________ ________ 26 1.000 27 0.634 1.000 28 -0.044 0.107 1.000 29 -0.177 -0.023 0.409 1.000 30 -0.005 0.244 0.087 0.121 1.000 31 -0.199 -0.128 0.168 0.170 -0.242 32 -0.121 -0.110 -0.114 -0.083 -0.131 33 0.475 0.135 0.070 -0.114 -0.120 34 -0.067 0.138 0.627 0.491 0.433 35 0.054 -0.188 -0.629 -0.399 -0.429 36 -0.301 -0.189 -0.256 -0.029 -0.275 37 0.244 0.204 0.169 -0.038 0.242 38 -0.206 -0.203 0.213 0.006 -0.161 39 -0.190 -0.176 -0.102 -0.068 -0.023 40 0.175 0.148 -0.235 -0.224 -0.123 ESTIMATED CORRELATION MATRIX FOR PARAMETER ESTIMATES 31 32 33 34 35 ________ ________ ________ ________ ________ 31 1.000 32 0.627 1.000 33 -0.070 0.005 1.000 34 0.185 -0.071 -0.212 1.000 35 -0.117 0.173 0.117 -0.928 1.000 36 0.134 0.207 -0.322 -0.617 0.624 37 -0.116 -0.215 0.305 0.513 -0.621 38 0.320 0.159 0.094 0.252 -0.335 39 -0.031 -0.045 -0.086 -0.145 0.110 40 -0.198 -0.102 -0.085 -0.257 0.225 ESTIMATED CORRELATION MATRIX FOR PARAMETER ESTIMATES 36 37 38 39 40 ________ ________ ________ ________ ________ 36 1.000 37 -0.938 1.000 38 -0.190 0.216 1.000 39 0.144 -0.106 -0.021 1.000 40 0.106 -0.062 -0.220 -0.038 1.000 TECHNICAL 7 OUTPUT SAMPLE STATISTICS WEIGHTED BY ESTIMATED CLASS PROBABILITIES FOR CLASS 1 Means Y1F Y1S Y2F Y2S Y3S ________ ________ ________ ________ ________ 1 4.271 3.888 4.250 3.944 4.106 Means Y4S Y5S Y6S Y7S I ________ ________ ________ ________ ________ 1 4.029 3.883 3.555 2.889 0.717 Covariances Y1F Y1S Y2F Y2S Y3S ________ ________ ________ ________ ________ Y1F 1.471 Y1S -0.010 0.747 Y2F 0.596 0.488 0.618 Y2S -0.170 0.726 -0.200 0.930 Y3S -0.034 0.540 -0.361 1.488 1.319 Y4S -0.528 -0.404 -0.162 0.271 0.867 Y5S -0.073 -0.039 -0.064 -0.747 -1.904 Y6S 0.552 -1.293 0.352 -1.228 -1.334 Y7S 0.498 -0.031 0.767 -0.608 -0.353 I 0.216 0.187 0.287 0.107 -0.009 Covariances Y4S Y5S Y6S Y7S I ________ ________ ________ ________ ________ Y4S 1.184 Y5S 0.797 1.513 Y6S 0.580 0.799 1.677 Y7S -0.015 -1.090 0.805 1.317 I -0.244 -0.789 -0.492 0.100 0.203 SAMPLE STATISTICS WEIGHTED BY ESTIMATED CLASS PROBABILITIES FOR CLASS 2 Means Y1F Y1S Y2F Y2S Y3S ________ ________ ________ ________ ________ 1 2.498 2.358 2.360 2.608 3.075 Means Y4S Y5S Y6S Y7S I ________ ________ ________ ________ ________ 1 2.731 2.533 2.803 2.777 0.602 Covariances Y1F Y1S Y2F Y2S Y3S ________ ________ ________ ________ ________ Y1F 1.013 Y1S -0.119 0.651 Y2F 0.024 -0.122 0.734 Y2S -0.186 -0.123 0.256 0.868 Y3S -0.081 0.032 -0.052 0.162 1.200 Y4S 0.178 0.087 0.124 0.171 0.440 Y5S 0.081 -0.099 -0.052 -0.113 -0.075 Y6S -0.390 -0.303 -0.050 0.201 1.016 Y7S 0.061 -0.357 -0.352 -0.185 0.244 I 0.088 0.139 0.170 0.044 -0.024 Covariances Y4S Y5S Y6S Y7S I ________ ________ ________ ________ ________ Y4S 1.071 Y5S 0.497 0.878 Y6S 0.575 0.492 1.610 Y7S -0.149 -0.005 0.160 1.242 I 0.024 -0.033 -0.083 -0.018 0.240 SAMPLE STATISTICS WEIGHTED BY ESTIMATED CLASS PROBABILITIES FOR CLASS 3 Means Y1F Y1S Y2F Y2S Y3S ________ ________ ________ ________ ________ 1 1.482 1.504 1.478 1.522 1.513 Means Y4S Y5S Y6S Y7S I ________ ________ ________ ________ ________ 1 1.481 1.636 1.517 1.560 0.545 Covariances Y1F Y1S Y2F Y2S Y3S ________ ________ ________ ________ ________ Y1F 0.164 Y1S 0.116 0.199 Y2F 0.077 0.018 0.206 Y2S 0.017 -0.048 0.213 0.225 Y3S 0.050 0.199 -0.009 0.065 0.251 Y4S 0.070 0.087 0.055 0.125 0.095 Y5S 0.012 0.074 0.122 0.279 0.138 Y6S 0.005 0.099 -0.071 -0.030 -0.031 Y7S 0.039 0.072 0.064 0.154 0.100 I -0.056 -0.109 0.106 0.180 -0.032 Covariances Y4S Y5S Y6S Y7S I ________ ________ ________ ________ ________ Y4S 0.357 Y5S 0.024 0.289 Y6S 0.097 0.005 0.317 Y7S 0.025 0.028 0.123 0.295 I -0.015 0.065 -0.059 0.035 0.248 TECHNICAL 8 OUTPUT INITIAL STAGE ITERATIONS TECHNICAL 8 OUTPUT FOR UNPERTURBED STARTING VALUE SET ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM 1 -0.20367727D+04 0.0000000 0.0000000 63.000 73.530 EM 62.470 2 -0.17386755D+04 298.0972146 0.1463576 60.043 64.903 EM 74.054 3 -0.16718878D+04 66.7877112 0.0384130 56.150 54.109 EM 88.741 4 -0.16314998D+04 40.3879320 0.0241571 54.901 53.475 EM 90.624 5 -0.16234852D+04 8.0145967 0.0049124 54.393 56.727 EM 87.880 6 -0.16188012D+04 4.6839811 0.0028851 53.908 60.129 EM 84.963 7 -0.16156387D+04 3.1625581 0.0019536 53.520 62.866 EM 82.613 8 -0.16137811D+04 1.8575837 0.0011498 53.317 64.866 EM 80.817 9 -0.16128388D+04 0.9423209 0.0005839 53.248 66.259 EM 79.492 TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 1 ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM 1 -0.30464145D+05 0.0000000 0.0000000 33.676 137.602 EM 27.722 2 -0.18076047D+04 ************ 0.9406645 15.101 168.260 EM 15.639 3 -0.17842416D+04 23.3630713 0.0129249 6.951 180.823 EM 11.226 4 -0.17733124D+04 10.9291928 0.0061254 3.135 184.281 EM 11.585 5 -0.17599048D+04 13.4075945 0.0075608 1.338 180.869 EM 16.792 6 -0.17361128D+04 23.7920526 0.0135189 0.547 173.287 EM 25.166 7 -0.16769080D+04 59.2047673 0.0341019 0.247 154.297 EM 44.456 8 -0.16396250D+04 37.2829923 0.0222332 0.132 146.692 EM 52.176 9 -0.16346933D+04 4.9317605 0.0030079 0.088 144.344 EM 54.567 10 -0.16332720D+04 1.4212831 0.0008694 0.081 142.599 EM 56.320 TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 2 ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM 1 -0.68350375D+04 0.0000000 0.0000000 183.364 15.633 EM 0.004 2 -0.17794515D+04 5055.5860662 0.7396574 191.435 7.565 EM 0.000 3 -0.17751595D+04 4.2919517 0.0024120 195.071 3.929 EM 0.000 4 -0.17734086D+04 1.7509655 0.0009864 196.848 2.152 EM 0.000 5 -0.17726105D+04 0.7980876 0.0004500 197.777 1.223 EM 0.000 TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 3 ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM 1 -0.40475578D+05 0.0000000 0.0000000 80.944 79.709 EM 38.348 2 -0.17676732D+04 ************ 0.9563274 79.009 79.920 EM 40.072 3 -0.17529267D+04 14.7464602 0.0083423 73.040 76.528 EM 49.431 4 -0.17088919D+04 44.0347469 0.0251207 61.740 69.061 EM 68.199 5 -0.16470978D+04 61.7941690 0.0361604 55.438 63.806 EM 79.756 6 -0.16242733D+04 22.8245061 0.0138574 55.572 61.934 EM 81.494 7 -0.16201684D+04 4.1048582 0.0025272 57.452 60.826 EM 80.722 8 -0.16181749D+04 1.9934957 0.0012304 59.663 59.725 EM 79.611 9 -0.16167636D+04 1.4113045 0.0008722 61.908 58.542 EM 78.551 10 -0.16155870D+04 1.1766576 0.0007278 64.121 57.288 EM 77.592 TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 4 ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM 1 -0.36304172D+05 0.0000000 0.0000000 36.739 127.661 EM 34.601 2 -0.18152655D+04 ************ 0.9499984 16.672 163.310 EM 19.018 3 -0.17854154D+04 29.8500815 0.0164439 7.502 177.041 EM 14.458 4 -0.17621335D+04 23.2818493 0.0130400 6.222 175.029 EM 17.749 5 -0.17367201D+04 25.4134028 0.0144220 5.885 167.583 EM 25.532 6 -0.16691827D+04 67.5374265 0.0388879 6.220 145.589 EM 47.191 7 -0.16346834D+04 34.4993288 0.0206684 6.996 137.641 EM 54.363 8 -0.16285418D+04 6.1415611 0.0037570 8.730 133.279 EM 56.991 9 -0.16251309D+04 3.4109409 0.0020945 10.535 130.139 EM 58.326 10 -0.16238637D+04 1.2671270 0.0007797 11.771 128.172 EM 59.057 TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 5 ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM 1 -0.22680817D+05 0.0000000 0.0000000 138.925 22.668 EM 37.407 2 -0.18017020D+04 ************ 0.9205627 166.256 9.661 EM 23.083 3 -0.17640503D+04 37.6517022 0.0208979 168.772 5.359 EM 24.869 4 -0.17003131D+04 63.7372186 0.0361312 146.235 3.774 EM 48.991 5 -0.16399913D+04 60.3217269 0.0354768 131.181 3.296 EM 64.523 6 -0.16236093D+04 16.3819921 0.0099891 125.953 3.441 EM 69.605 7 -0.16204382D+04 3.1711734 0.0019532 123.384 4.462 EM 71.154 8 -0.16181374D+04 2.3008015 0.0014199 121.344 5.969 EM 71.686 9 -0.16169807D+04 1.1566470 0.0007148 119.914 7.255 EM 71.831 10 -0.16165122D+04 0.4685465 0.0002898 118.657 8.462 EM 71.881 TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 6 ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM 1 -0.11489686D+05 0.0000000 0.0000000 77.239 112.279 EM 9.482 TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 7 ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM 1 -0.10338161D+05 0.0000000 0.0000000 2.923 84.129 EM 111.948 2 -0.18316170D+04 8506.5441316 0.8228295 0.364 49.386 EM 149.250 3 -0.17832592D+04 48.3578226 0.0264017 0.074 34.339 EM 164.587 4 -0.17603661D+04 22.8931487 0.0128378 0.040 31.192 EM 167.767 5 -0.17462858D+04 14.0802399 0.0079985 0.052 31.911 EM 167.038 6 -0.17366287D+04 9.6571265 0.0055301 0.067 32.004 EM 166.929 7 -0.17297450D+04 6.8836890 0.0039638 0.086 31.518 EM 167.397 8 -0.17270965D+04 2.6484636 0.0015311 0.109 30.640 EM 168.252 9 -0.17260499D+04 1.0466064 0.0006060 0.138 29.666 EM 169.196 10 -0.17252992D+04 0.7507442 0.0004349 0.172 28.704 EM 170.123 TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 8 ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM 1 -0.34303861D+05 0.0000000 0.0000000 37.447 33.616 EM 127.937 2 -0.17927772D+04 ************ 0.9477383 25.011 22.900 EM 151.089 3 -0.17551953D+04 37.5819586 0.0209630 20.113 23.528 EM 155.359 4 -0.17224705D+04 32.7247791 0.0186445 18.683 31.573 EM 148.744 5 -0.16971748D+04 25.2956941 0.0146857 19.606 42.405 EM 136.989 6 -0.16743365D+04 22.8382679 0.0134566 22.207 51.252 EM 125.540 7 -0.16581956D+04 16.1408966 0.0096402 25.349 57.284 EM 116.367 8 -0.16477082D+04 10.4874895 0.0063246 28.627 61.481 EM 108.891 9 -0.16402795D+04 7.4286331 0.0045085 31.713 64.627 EM 102.661 10 -0.16345970D+04 5.6825130 0.0034644 34.554 67.032 EM 97.414 TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 9 ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM 1 -0.32200143D+05 0.0000000 0.0000000 106.019 69.792 EM 23.189 2 -0.17805424D+04 ************ 0.9447039 113.302 70.658 EM 15.039 3 -0.17644974D+04 16.0449388 0.0090113 112.410 69.323 EM 17.266 4 -0.17453451D+04 19.1523649 0.0108543 108.350 65.731 EM 24.919 5 -0.17317032D+04 13.6418368 0.0078161 106.094 64.022 EM 28.884 6 -0.17263021D+04 5.4011471 0.0031190 105.477 64.284 EM 29.239 7 -0.17235139D+04 2.7881983 0.0016151 105.137 65.419 EM 28.445 8 -0.17198538D+04 3.6600869 0.0021236 104.654 66.906 EM 27.439 9 -0.17149246D+04 4.9291848 0.0028660 104.305 68.282 EM 26.412 10 -0.17102828D+04 4.6417733 0.0027067 104.201 69.235 EM 25.563 TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 10 ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM 1 -0.22951737D+05 0.0000000 0.0000000 155.625 30.308 EM 13.067 2 -0.17942071D+04 ************ 0.9218270 177.330 14.926 EM 6.744 3 -0.17711149D+04 23.0921575 0.0128704 183.308 8.208 EM 7.484 4 -0.17601956D+04 10.9192843 0.0061652 184.892 4.481 EM 9.627 5 -0.17547824D+04 5.4132183 0.0030754 185.822 2.559 EM 10.618 6 -0.17525708D+04 2.2116536 0.0012604 186.457 1.733 EM 10.810 7 -0.17507057D+04 1.8650326 0.0010642 186.670 1.783 EM 10.546 8 -0.17482686D+04 2.4371416 0.0013921 186.599 2.235 EM 10.166 9 -0.17469485D+04 1.3200630 0.0007551 186.753 2.565 EM 9.681 10 -0.17461417D+04 0.8068690 0.0004619 186.894 2.766 EM 9.340 FINAL STAGE ITERATIONS TECHNICAL 8 OUTPUT FOR UNPERTURBED STARTING VALUE SET 9 -0.16128388D+04 0.9423209 0.0005839 53.248 66.259 EM 79.492 10 -0.16124222D+04 0.4165786 0.0002583 53.224 67.298 EM 78.478 11 -0.16121860D+04 0.2362497 0.0001465 53.199 68.138 EM 77.663 12 -0.16120272D+04 0.1587393 0.0000985 53.157 68.855 EM 76.988 13 -0.16119125D+04 0.1147595 0.0000712 53.091 69.497 EM 76.413 14 -0.16118240D+04 0.0884901 0.0000549 52.996 70.092 EM 75.912 15 -0.16117516D+04 0.0723233 0.0000449 52.872 70.661 EM 75.467 16 -0.16116901D+04 0.0615095 0.0000382 52.716 71.217 EM 75.068 17 -0.16116367D+04 0.0534188 0.0000331 52.528 71.765 EM 74.707 18 -0.16115899D+04 0.0467741 0.0000290 52.308 72.310 EM 74.383 19 -0.16115489D+04 0.0410616 0.0000255 52.054 72.854 EM 74.092 20 -0.16115127D+04 0.0361875 0.0000225 51.766 73.401 EM 73.833 21 -0.16114804D+04 0.0322786 0.0000200 51.441 73.953 EM 73.606 22 -0.16114509D+04 0.0295509 0.0000183 51.078 74.514 EM 73.409 23 -0.16114226D+04 0.0282273 0.0000175 50.674 75.088 EM 73.238 24 -0.16113941D+04 0.0285046 0.0000177 50.225 75.683 EM 73.091 25 -0.16113636D+04 0.0305756 0.0000190 49.729 76.306 EM 72.965 26 -0.16113289D+04 0.0346934 0.0000215 49.178 76.966 EM 72.856 27 -0.16112876D+04 0.0412630 0.0000256 48.565 77.673 EM 72.762 28 -0.16112366D+04 0.0509588 0.0000316 47.882 78.441 EM 72.677 29 -0.16111718D+04 0.0648806 0.0000403 47.115 79.284 EM 72.600 30 -0.16110870D+04 0.0847813 0.0000526 46.251 80.221 EM 72.528 31 -0.16109736D+04 0.1134074 0.0000704 45.270 81.273 EM 72.457 32 -0.16108186D+04 0.1549841 0.0000962 44.152 82.464 EM 72.384 33 -0.16106028D+04 0.2157819 0.0001340 42.874 83.820 EM 72.305 34 -0.16102985D+04 0.3043270 0.0001890 41.417 85.367 EM 72.217 35 -0.16098688D+04 0.4297154 0.0002669 39.774 87.113 EM 72.112 36 -0.16092746D+04 0.5941993 0.0003691 37.970 89.042 EM 71.988 37 -0.16087355D+04 0.5390640 0.0003350 27.843 98.361 FS 72.796 38 -0.16052428D+04 3.4926548 0.0021711 27.508 99.346 EM 72.146 39 -0.16048078D+04 0.4350692 0.0002710 27.199 100.032 EM 71.768 40 -0.16046386D+04 0.1691798 0.0001054 26.987 100.485 EM 71.529 41 -0.16045670D+04 0.0716180 0.0000446 26.859 100.771 EM 71.370 42 -0.16045331D+04 0.0339122 0.0000211 26.794 100.943 EM 71.263 43 -0.16045136D+04 0.0195028 0.0000122 26.772 101.036 EM 71.192 44 -0.16045000D+04 0.0135453 0.0000084 26.782 101.074 EM 71.145 45 -0.16044892D+04 0.0107988 0.0000067 26.813 101.073 EM 71.114 46 -0.16044798D+04 0.0093974 0.0000059 26.859 101.046 EM 71.095 47 -0.16044712D+04 0.0086040 0.0000054 26.917 101.001 EM 71.082 48 -0.16044631D+04 0.0080890 0.0000050 26.982 100.943 EM 71.075 49 -0.16044554D+04 0.0076873 0.0000048 27.053 100.877 EM 71.070 50 -0.16044481D+04 0.0073082 0.0000046 27.127 100.805 EM 71.068 51 -0.16044412D+04 0.0068998 0.0000043 27.204 100.730 EM 71.066 52 -0.16044348D+04 0.0064350 0.0000040 27.281 100.654 EM 71.065 53 -0.16044289D+04 0.0059060 0.0000037 27.358 100.578 EM 71.065 54 -0.16044236D+04 0.0053202 0.0000033 27.433 100.503 EM 71.064 55 -0.16044189D+04 0.0046967 0.0000029 27.506 100.431 EM 71.063 56 -0.16044148D+04 0.0040613 0.0000025 27.576 100.361 EM 71.063 57 -0.16044114D+04 0.0034410 0.0000021 27.642 100.296 EM 71.062 58 -0.16044085D+04 0.0028594 0.0000018 27.703 100.235 EM 71.061 59 -0.16044062D+04 0.0023340 0.0000015 27.761 100.179 EM 71.061 60 -0.16044043D+04 0.0018744 0.0000012 27.813 100.127 EM 71.060 61 -0.16044028D+04 0.0014839 0.0000009 27.861 100.080 EM 71.059 62 -0.16044017D+04 0.0011601 0.0000007 27.904 100.038 EM 71.058 63 -0.16044008D+04 0.0008972 0.0000006 27.943 100.000 EM 71.057 64 -0.16044001D+04 0.0006874 0.0000004 27.977 99.967 EM 71.056 65 -0.16043996D+04 0.0005225 0.0000003 28.008 99.937 EM 71.055 66 -0.16043992D+04 0.0003946 0.0000002 28.035 99.911 EM 71.055 67 -0.16043989D+04 0.0002962 0.0000002 28.058 99.888 EM 71.054 68 -0.16043986D+04 0.0002213 0.0000001 28.079 99.868 EM 71.053 69 -0.16043985D+04 0.0001647 0.0000001 28.097 99.850 EM 71.053 70 -0.16043984D+04 0.0001221 0.0000001 28.113 99.835 EM 71.052 71 -0.16043983D+04 0.0000903 0.0000001 28.126 99.822 EM 71.052 72 -0.16043982D+04 0.0000666 0.0000000 28.138 99.811 EM 71.052 73 -0.16043981D+04 0.0000490 0.0000000 28.148 99.801 EM 71.051 74 -0.16043981D+04 0.0000360 0.0000000 28.157 99.792 EM 71.051 75 -0.16043981D+04 0.0000264 0.0000000 28.164 99.785 EM 71.051 76 -0.16043981D+04 0.0000194 0.0000000 28.171 99.779 EM 71.050 77 -0.16043981D+04 0.0000142 0.0000000 28.176 99.773 EM 71.050 78 -0.16043980D+04 0.0000104 0.0000000 28.181 99.769 EM 71.050 79 -0.16043980D+04 0.0000076 0.0000000 28.185 99.765 EM 71.050 80 -0.16043980D+04 0.0000055 0.0000000 28.189 99.762 EM 71.050 81 -0.16043980D+04 0.0000040 0.0000000 28.192 99.759 EM 71.050 82 -0.16043980D+04 0.0000029 0.0000000 28.194 99.756 EM 71.049 83 -0.16043980D+04 0.0000021 0.0000000 28.196 99.754 EM 71.049 84 -0.16043980D+04 0.0000016 0.0000000 28.198 99.752 EM 71.049 85 -0.16043980D+04 0.0000011 0.0000000 28.200 99.751 EM 71.049 86 -0.16043980D+04 0.0000008 0.0000000 28.201 99.750 EM 71.049 87 -0.16043980D+04 0.0000006 0.0000000 28.202 99.748 EM 71.049 88 -0.16043980D+04 0.0000004 0.0000000 28.203 99.747 EM 71.049 89 -0.16043980D+04 0.0000003 0.0000000 28.204 99.747 EM 71.049 90 -0.16043980D+04 0.0000002 0.0000000 28.205 99.746 EM 71.049 91 -0.16043980D+04 0.0000002 0.0000000 28.206 99.745 EM 71.049 92 -0.16043980D+04 0.0000001 0.0000000 28.206 99.745 EM 71.049 93 -0.16043980D+04 0.0000000 0.0000000 28.208 99.743 FS 71.049 94 -0.16043980D+04 0.0000002 0.0000000 28.208 99.743 EM 71.049 95 -0.16043980D+04 0.0000000 0.0000000 28.208 99.743 EM 71.049 96 -0.16043980D+04 0.0000000 0.0000000 28.208 99.743 EM 71.049 97 -0.16043980D+04 0.0000000 0.0000000 28.208 99.743 EM 71.049 98 -0.16043980D+04 0.0000000 0.0000000 28.208 99.743 EM 71.049 99 -0.16043980D+04 0.0000000 0.0000000 28.209 99.743 EM 71.049 100 -0.16043980D+04 0.0000000 0.0000000 28.209 99.743 EM 71.049 101 -0.16043980D+04 0.0000000 0.0000000 28.209 99.742 EM 71.049 102 -0.16043980D+04 0.0000000 0.0000000 28.209 99.742 EM 71.049 103 -0.16043980D+04 0.0000000 0.0000000 28.209 99.742 EM 71.049 104 -0.16043980D+04 0.0000000 0.0000000 28.209 99.742 EM 71.049 105 -0.16043980D+04 0.0000000 0.0000000 28.209 99.742 EM 71.049 106 -0.16043980D+04 0.0000000 0.0000000 28.209 99.742 EM 71.049 107 -0.16043980D+04 0.0000000 0.0000000 28.209 99.742 EM 71.049 108 -0.16043980D+04 0.0000000 0.0000000 28.209 99.742 QN 71.049 109 -0.16043980D+04 0.0000000 0.0000000 28.209 99.742 EM 71.049 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 Adjusted estimated means Observed individual values Estimated individual values Estimated means and observed individual values Estimated means and estimated individual values Adjusted estimated means and observed individual values Adjusted estimated means and estimated individual values Mixture distributions Estimated probabilities for a categorical latent variable as a function of its covariates Beginning Time: 15:28:00 Ending Time: 15:29:28 Elapsed Time: 00:01:28 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) 1998-2005 Muthen & Muthen