Mplus VERSION 8.6
MUTHEN & MUTHEN
02/19/2021 1:53 PM
OUTPUT SECTIONS
INPUT INSTRUCTIONS TITLE: Regular LTA with pov covariate Model 3, Main effects: c1-c4 on pov DATA: FILE = dp.analytic.dat; FORMAT = f1.0, 20f2.0; VARIABLE: NAMES = pov letrec1 begin1 ending1 sight1 wic1 letrec2 begin2 ending2 sight2 wic2 letrec3 begin3 ending3 sight3 wic3 letrec4 begin4 ending4 sight4 wic4; USEVARIABLES = pov letrec1 begin1 ending1 sight1 wic1 letrec2 begin2 ending2 sight2 wic2 letrec3 begin3 ending3 sight3 wic3 letrec4 begin4 ending4 sight4 wic4; CATEGORICAL = letrec1 begin1 ending1 sight1 wic1 letrec2 begin2 ending2 sight2 wic2 letrec3 begin3 ending3 sight3 wic3 letrec4 begin4 ending4 sight4 wic4; CLASSES = c1(3) c2(3) c3(3) c4(3); MISSING = .; ANALYSIS: type = mixture; optseed = 966014; processors = 8; MODEL: %overall% c2 on c1; c3 on c2; c4 on c3; c1-c4 on pov; MODEL c1: %c1#1% [letrec1$1-wic1$1] (1-5); %c1#2% [letrec1$1-wic1$1] (6-10); %c1#3% [letrec1$1-wic1$1] (11-15); MODEL c2: %c2#1% [letrec2$1-wic2$1] (1-5); %c2#2% [letrec2$1-wic2$1] (6-10); %c2#3% [letrec2$1-wic2$1] (11-15); MODEL c3: %c3#1% [letrec3$1-wic3$1] (1-5); %c3#2% [letrec3$1-wic3$1] (6-10); %c3#3% [letrec3$1-wic3$1] (11-15); MODEL c4: %c4#1% [letrec4$1-wic4$1] (1-5); %c4#2% [letrec4$1-wic4$1] (6-10); %c4#3% [letrec4$1-wic4$1] (11-15); OUTPUT: tech8 tech10 tech15 svalues (1 3 2 | 1 3 2 | 1 3 2 | 1 3 2); INPUT READING TERMINATED NORMALLY Regular LTA with pov covariate Model 3, Main effects: c1-c4 on pov SUMMARY OF ANALYSIS Number of groups 1 Number of observations 3575 Number of dependent variables 20 Number of independent variables 1 Number of continuous latent variables 0 Number of categorical latent variables 4 Observed dependent variables Binary and ordered categorical (ordinal) LETREC1 BEGIN1 ENDING1 SIGHT1 WIC1 LETREC2 BEGIN2 ENDING2 SIGHT2 WIC2 LETREC3 BEGIN3 ENDING3 SIGHT3 WIC3 LETREC4 BEGIN4 ENDING4 SIGHT4 WIC4 Observed independent variables POV Categorical latent variables C1 C2 C3 C4 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-03 Relative loglikelihood change 0.100D-05 Derivative 0.100D-03 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-03 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-03 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 966014 Parameterization LOGIT Link LOGIT Input data file(s) dp.analytic.dat Input data format (F1.0, 20F2.0) SUMMARY OF DATA Number of missing data patterns 1 Number of y missing data patterns 0 Number of u missing data patterns 1 COVARIANCE COVERAGE OF DATA Minimum covariance coverage value 0.100 UNIVARIATE PROPORTIONS AND COUNTS FOR CATEGORICAL VARIABLES LETREC1 Category 1 0.356 1271.000 Category 2 0.644 2304.000 BEGIN1 Category 1 0.684 2446.000 Category 2 0.316 1129.000 ENDING1 Category 1 0.817 2922.000 Category 2 0.183 653.000 SIGHT1 Category 1 0.971 3470.000 Category 2 0.029 105.000 WIC1 Category 1 0.989 3536.000 Category 2 0.011 39.000 LETREC2 Category 1 0.103 368.000 Category 2 0.897 3207.000 BEGIN2 Category 1 0.270 966.000 Category 2 0.730 2609.000 ENDING2 Category 1 0.467 1669.000 Category 2 0.533 1906.000 SIGHT2 Category 1 0.847 3028.000 Category 2 0.153 547.000 WIC2 Category 1 0.951 3399.000 Category 2 0.049 176.000 LETREC3 Category 1 0.069 247.000 Category 2 0.931 3328.000 BEGIN3 Category 1 0.179 641.000 Category 2 0.821 2934.000 ENDING3 Category 1 0.322 1152.000 Category 2 0.678 2423.000 SIGHT3 Category 1 0.733 2620.000 Category 2 0.267 955.000 WIC3 Category 1 0.898 3212.000 Category 2 0.102 363.000 LETREC4 Category 1 0.033 118.000 Category 2 0.967 3457.000 BEGIN4 Category 1 0.065 234.000 Category 2 0.935 3341.000 ENDING4 Category 1 0.100 358.000 Category 2 0.900 3217.000 SIGHT4 Category 1 0.191 683.000 Category 2 0.809 2892.000 WIC4 Category 1 0.554 1981.000 Category 2 0.446 1594.000 UNIVARIATE SAMPLE STATISTICS UNIVARIATE HIGHER-ORDER MOMENT DESCRIPTIVE STATISTICS Variable/ Mean/ Skewness/ Minimum/ % with Percentiles Sample Size Variance Kurtosis Maximum Min/Max 20%/60% 40%/80% Median POV 0.192 1.565 0.000 80.81% 0.000 0.000 0.000 3575.000 0.155 0.449 1.000 19.19% 0.000 0.000 IN THE OPTIMIZATION, ONE OR MORE LOGIT THRESHOLDS APPROACHED EXTREME VALUES OF -15.000 AND 15.000 AND WERE FIXED TO STABILIZE MODEL ESTIMATION. THESE VALUES IMPLY PROBABILITIES OF 0 AND 1. IN THE MODEL RESULTS SECTION, THESE PARAMETERS HAVE 0 STANDARD ERRORS AND 999 IN THE Z-SCORE AND P-VALUE COLUMNS. ONE OR MORE MULTINOMIAL LOGIT PARAMETERS WERE FIXED TO AVOID SINGULARITY OF THE INFORMATION MATRIX. THE SINGULARITY IS MOST LIKELY BECAUSE THE MODEL IS NOT IDENTIFIED, OR BECAUSE OF EMPTY CELLS IN THE JOINT DISTRIBUTION OF THE CATEGORICAL LATENT VARIABLES AND ANY INDEPENDENT VARIABLES. THE FOLLOWING PARAMETERS WERE FIXED: Parameter 34, C2#1 ON C1#2 Parameter 35, C2#2 ON C1#2 Parameter 43, C4#2 ON C3#2 THE MODEL ESTIMATION TERMINATED NORMALLY THE CHI-SQUARE TEST CANNOT BE COMPUTED BECAUSE THE FREQUENCY TABLE FOR THE LATENT CLASS INDICATOR MODEL PART IS TOO LARGE. MODEL FIT INFORMATION Number of Free Parameters 43 Loglikelihood H0 Value -21583.795 H0 Scaling Correction Factor 0.9639 for MLR Information Criteria Akaike (AIC) 43253.591 Bayesian (BIC) 43519.405 Sample-Size Adjusted BIC 43382.773 (n* = (n + 2) / 24) FINAL CLASS COUNTS AND PROPORTIONS FOR EACH LATENT CLASS VARIABLE BASED ON THE ESTIMATED MODEL Latent Class Variable Class C1 1 2472.31885 0.69156 2 1021.11426 0.28563 3 81.56696 0.02282 C2 1 835.22211 0.23363 2 2274.87769 0.63633 3 464.89993 0.13004 C3 1 500.75964 0.14007 2 2245.86304 0.62821 3 828.37762 0.23171 C4 1 145.01555 0.04056 2 552.04132 0.15442 3 2877.94287 0.80502 CLASSIFICATION QUALITY Entropy 0.905 LATENT CLASS INDICATOR MEANS AND PROBABILITIES FOR EACH LATENT CLASS MEAN/PROBABILITY PROFILES FOR C1 Latent class 1 2 3 LETREC1 Category 1 0.497 0.006 0.000 Category 2 0.503 0.994 1.000 BEGIN1 Category 1 0.937 0.084 0.016 Category 2 0.063 0.916 0.984 ENDING1 Category 1 0.988 0.341 0.028 Category 2 0.012 0.659 0.972 SIGHT1 Category 1 1.000 0.949 0.016 Category 2 0.000 0.051 0.984 WIC1 Category 1 1.000 0.999 0.491 Category 2 0.000 0.001 0.509 MEAN/PROBABILITY PROFILES FOR C2 Latent class 1 2 3 LETREC2 Category 1 0.497 0.006 0.000 Category 2 0.503 0.994 1.000 BEGIN2 Category 1 0.937 0.084 0.016 Category 2 0.063 0.916 0.984 ENDING2 Category 1 0.988 0.341 0.028 Category 2 0.012 0.659 0.972 SIGHT2 Category 1 1.000 0.949 0.016 Category 2 0.000 0.051 0.984 WIC2 Category 1 1.000 0.999 0.491 Category 2 0.000 0.001 0.509 MEAN/PROBABILITY PROFILES FOR C3 Latent class 1 2 3 LETREC3 Category 1 0.497 0.006 0.000 Category 2 0.503 0.994 1.000 BEGIN3 Category 1 0.937 0.084 0.016 Category 2 0.063 0.916 0.984 ENDING3 Category 1 0.988 0.341 0.028 Category 2 0.012 0.659 0.972 SIGHT3 Category 1 1.000 0.949 0.016 Category 2 0.000 0.051 0.984 WIC3 Category 1 1.000 0.999 0.491 Category 2 0.000 0.001 0.509 MEAN/PROBABILITY PROFILES FOR C4 Latent class 1 2 3 LETREC4 Category 1 0.497 0.006 0.000 Category 2 0.503 0.994 1.000 BEGIN4 Category 1 0.937 0.084 0.016 Category 2 0.063 0.916 0.984 ENDING4 Category 1 0.988 0.341 0.028 Category 2 0.012 0.659 0.972 SIGHT4 Category 1 1.000 0.949 0.016 Category 2 0.000 0.051 0.984 WIC4 Category 1 1.000 0.999 0.491 Category 2 0.000 0.001 0.509 LOGISTIC REGRESSION ODDS RATIO RESULTS 95% C.I. Estimate S.E. Lower 2.5% Upper 2.5% Categorical Latent Variables C1#1 ON POV 8.101 4.796 2.539 25.850 C1#2 ON POV 1.881 1.143 0.571 6.189 C2#1 ON POV 2.178 0.602 1.267 3.744 C2#2 ON POV 0.665 0.169 0.404 1.094 C3#1 ON POV 8.595 3.272 4.076 18.126 C3#2 ON POV 3.430 1.141 1.787 6.585 C4#1 ON POV 2.522 0.587 1.598 3.981 C4#2 ON POV 2.274 0.327 1.716 3.013 LATENT TRANSITION PROBABILITIES BASED ON THE ESTIMATED MODEL C1 Classes (Rows) by C2 Classes (Columns) 1 2 3 1 0.322 0.665 0.012 2 0.001 0.642 0.357 3 0.000 0.000 1.000 C2 Classes (Rows) by C3 Classes (Columns) 1 2 3 1 0.547 0.451 0.003 2 0.003 0.844 0.154 3 0.003 0.004 0.993 C3 Classes (Rows) by C4 Classes (Columns) 1 2 3 1 0.245 0.479 0.276 2 0.005 0.136 0.858 3 0.000 0.000 1.000 TRANSITION PROBABILITY ODDS EVALUATED AT THE SAMPLE MEAN FOR ALL COVARIATES TRANSITION TABLE ODDS AND 95% CONFIDENCE INTERVALS FOR C1 TO C2 1.000(1.000,1.000) 1.842(1.674,2.028) 0.037(0.022,0.061) 0.001(0.000,0.030) 1.000(1.000,1.000) 0.582(0.478,0.709) 0.000(0.000,0.000) 0.000(0.000,0.000) 1.000(1.000,1.000) TRANSITION TABLE ODDS AND 95% CONFIDENCE INTERVALS FOR C2 TO C3 1.000(1.000,1.000) 0.730(0.612,0.872) 0.003(0.000,0.024) 0.003(0.001,0.015) 1.000(1.000,1.000) 0.146(0.116,0.185) 0.003(0.000,0.020) 0.004(0.000,0.057) 1.000(1.000,1.000) TRANSITION TABLE ODDS AND 95% CONFIDENCE INTERVALS FOR C3 TO C4 1.000(1.000,1.000) 1.938(1.480,2.537) 0.987(0.730,1.335) 0.040(0.021,0.077) 1.000(1.000,1.000) 5.941(5.114,6.901) 0.000(0.000,7.781) 0.000(0.000,0.000) 1.000(1.000,1.000) COVARIATE EFFECTS ON TRANSITION PROBABILITY ODDS RATIOS EFFECT OF POV TRANSITION TABLE ODDS RATIO AND 95% CONFIDENCE INTERVALS FOR C1 TO C2 1.000(1.000,1.000) 0.305(0.248,0.376) 0.459(0.267,0.790) 3.274(2.659,4.032) 1.000(1.000,1.000) 1.503(0.914,2.473) 2.178(1.267,3.744) 0.665(0.404,1.094) 1.000(1.000,1.000) TRANSITION TABLE ODDS RATIO AND 95% CONFIDENCE INTERVALS FOR C2 TO C3 1.000( 1.000, 1.000) 0.399( 0.279, 0.570) 0.116( 0.055, 0.245) 2.506( 1.754, 3.580) 1.000( 1.000, 1.000) 0.292( 0.152, 0.560) 8.595( 4.076,18.126) 3.430( 1.787, 6.585) 1.000( 1.000, 1.000) TRANSITION TABLE ODDS RATIO AND 95% CONFIDENCE INTERVALS FOR C3 TO C4 1.000(1.000,1.000) 0.901(0.593,1.370) 0.396(0.251,0.626) 1.109(0.730,1.685) 1.000(1.000,1.000) 0.440(0.332,0.583) 2.522(1.598,3.981) 2.274(1.716,3.013) 1.000(1.000,1.000) C-SPECIFIC CLASSIFICATION RESULTS Classification Quality for C1 Entropy 0.886 Average Latent Class Probabilities for Most Likely Latent Class Membership (Row) by Latent Class (Column) 1 2 3 1 0.981 0.019 0.000 2 0.097 0.900 0.003 3 0.000 0.129 0.871 Classification Probabilities for the Most Likely Latent Class Membership (Column) by Latent Class (Row) 1 2 3 1 0.958 0.042 0.000 2 0.045 0.944 0.011 3 0.000 0.038 0.962 Logits for the Classification Probabilities for the Most Likely Latent Class Membership (Column) by Latent Class (Row) 1 2 3 1 13.773 10.641 0.000 2 1.380 4.422 0.000 3 -12.115 -3.218 0.000 Classification Quality for C2 Entropy 0.896 Average Latent Class Probabilities for Most Likely Latent Class Membership (Row) by Latent Class (Column) 1 2 3 1 0.922 0.078 0.000 2 0.014 0.980 0.006 3 0.000 0.055 0.945 Classification Probabilities for the Most Likely Latent Class Membership (Column) by Latent Class (Row) 1 2 3 1 0.963 0.037 0.000 2 0.030 0.959 0.011 3 0.000 0.030 0.970 Logits for the Classification Probabilities for the Most Likely Latent Class Membership (Column) by Latent Class (Row) 1 2 3 1 13.778 10.517 0.000 2 0.953 4.426 0.000 3 -13.785 -3.474 0.000 Classification Quality for C3 Entropy 0.887 Average Latent Class Probabilities for Most Likely Latent Class Membership (Row) by Latent Class (Column) 1 2 3 1 0.952 0.048 0.000 2 0.018 0.973 0.009 3 0.000 0.099 0.901 Classification Probabilities for the Most Likely Latent Class Membership (Column) by Latent Class (Row) 1 2 3 1 0.920 0.080 0.000 2 0.010 0.950 0.039 3 0.000 0.023 0.977 Logits for the Classification Probabilities for the Most Likely Latent Class Membership (Column) by Latent Class (Row) 1 2 3 1 13.732 11.286 0.000 2 -1.343 3.181 0.000 3 -13.792 -3.753 0.000 Classification Quality for C4 Entropy 0.934 Average Latent Class Probabilities for Most Likely Latent Class Membership (Row) by Latent Class (Column) 1 2 3 1 0.973 0.027 0.000 2 0.013 0.938 0.050 3 0.000 0.013 0.987 Classification Probabilities for the Most Likely Latent Class Membership (Column) by Latent Class (Row) 1 2 3 1 0.953 0.047 0.000 2 0.007 0.924 0.069 3 0.000 0.009 0.991 Logits for the Classification Probabilities for the Most Likely Latent Class Membership (Column) by Latent Class (Row) 1 2 3 1 13.767 10.758 0.000 2 -2.306 2.594 0.000 3 -13.806 -4.658 0.000 MODEL RESULTS Two-Tailed Estimate S.E. Est./S.E. P-Value Parameters for Class-specific Model Parts of C1 Latent Class C1#1 Thresholds LETREC1$1 -0.010 0.047 -0.213 0.832 BEGIN1$1 2.698 0.133 20.226 0.000 ENDING1$1 4.415 0.211 20.951 0.000 SIGHT1$1 15.000 0.000 999.000 999.000 WIC1$1 15.000 0.000 999.000 999.000 Latent Class C1#2 Thresholds LETREC1$1 -5.090 0.189 -26.871 0.000 BEGIN1$1 -2.384 0.061 -38.842 0.000 ENDING1$1 -0.659 0.038 -17.580 0.000 SIGHT1$1 2.918 0.110 26.461 0.000 WIC1$1 6.798 0.500 13.595 0.000 Latent Class C1#3 Thresholds LETREC1$1 -15.000 0.000 999.000 999.000 BEGIN1$1 -4.111 0.134 -30.748 0.000 ENDING1$1 -3.560 0.111 -31.955 0.000 SIGHT1$1 -4.149 0.196 -21.178 0.000 WIC1$1 -0.037 0.037 -0.992 0.321 Parameters for Class-specific Model Parts of C2 Latent Class C2#1 Thresholds LETREC2$1 -0.010 0.047 -0.213 0.832 BEGIN2$1 2.698 0.133 20.226 0.000 ENDING2$1 4.415 0.211 20.951 0.000 SIGHT2$1 15.000 0.000 999.000 999.000 WIC2$1 15.000 0.000 999.000 999.000 Latent Class C2#2 Thresholds LETREC2$1 -5.090 0.189 -26.871 0.000 BEGIN2$1 -2.384 0.061 -38.842 0.000 ENDING2$1 -0.659 0.038 -17.580 0.000 SIGHT2$1 2.918 0.110 26.461 0.000 WIC2$1 6.798 0.500 13.595 0.000 Latent Class C2#3 Thresholds LETREC2$1 -15.000 0.000 999.000 999.000 BEGIN2$1 -4.111 0.134 -30.748 0.000 ENDING2$1 -3.560 0.111 -31.955 0.000 SIGHT2$1 -4.149 0.196 -21.178 0.000 WIC2$1 -0.037 0.037 -0.992 0.321 Parameters for Class-specific Model Parts of C3 Latent Class C3#1 Thresholds LETREC3$1 -0.010 0.047 -0.213 0.832 BEGIN3$1 2.698 0.133 20.226 0.000 ENDING3$1 4.415 0.211 20.951 0.000 SIGHT3$1 15.000 0.000 999.000 999.000 WIC3$1 15.000 0.000 999.000 999.000 Latent Class C3#2 Thresholds LETREC3$1 -5.090 0.189 -26.871 0.000 BEGIN3$1 -2.384 0.061 -38.842 0.000 ENDING3$1 -0.659 0.038 -17.580 0.000 SIGHT3$1 2.918 0.110 26.461 0.000 WIC3$1 6.798 0.500 13.595 0.000 Latent Class C3#3 Thresholds LETREC3$1 -15.000 0.000 999.000 999.000 BEGIN3$1 -4.111 0.134 -30.748 0.000 ENDING3$1 -3.560 0.111 -31.955 0.000 SIGHT3$1 -4.149 0.196 -21.178 0.000 WIC3$1 -0.037 0.037 -0.992 0.321 Parameters for Class-specific Model Parts of C4 Latent Class C4#1 Thresholds LETREC4$1 -0.010 0.047 -0.213 0.832 BEGIN4$1 2.698 0.133 20.226 0.000 ENDING4$1 4.415 0.211 20.951 0.000 SIGHT4$1 15.000 0.000 999.000 999.000 WIC4$1 15.000 0.000 999.000 999.000 Latent Class C4#2 Thresholds LETREC4$1 -5.090 0.189 -26.871 0.000 BEGIN4$1 -2.384 0.061 -38.842 0.000 ENDING4$1 -0.659 0.038 -17.580 0.000 SIGHT4$1 2.918 0.110 26.461 0.000 WIC4$1 6.798 0.500 13.595 0.000 Latent Class C4#3 Thresholds LETREC4$1 -15.000 0.000 999.000 999.000 BEGIN4$1 -4.111 0.134 -30.748 0.000 ENDING4$1 -3.560 0.111 -31.955 0.000 SIGHT4$1 -4.149 0.196 -21.178 0.000 WIC4$1 -0.037 0.037 -0.992 0.321 Categorical Latent Variables C2#1 ON C1#1 30.779 1.558 19.755 0.000 C1#2 21.494 0.000 999.000 999.000 C2#2 ON C1#1 32.166 0.287 111.910 0.000 C1#2 28.790 0.000 999.000 999.000 C3#1 ON C2#1 11.708 1.497 7.819 0.000 C2#2 2.145 1.300 1.650 0.099 C3#2 ON C2#1 11.098 1.773 6.260 0.000 C2#2 7.537 1.423 5.296 0.000 C4#1 ON C3#1 8.127 5.194 1.565 0.118 C3#2 3.120 5.285 0.590 0.555 C4#2 ON C3#1 30.305 0.180 168.586 0.000 C3#2 27.849 0.000 999.000 999.000 C1#1 ON POV 2.092 0.592 3.534 0.000 C1#2 ON POV 0.632 0.608 1.039 0.299 C2#1 ON POV 0.778 0.276 2.815 0.005 C2#2 ON POV -0.408 0.254 -1.605 0.108 C3#1 ON POV 2.151 0.381 5.651 0.000 C3#2 ON POV 1.233 0.333 3.705 0.000 C4#1 ON POV 0.925 0.233 3.974 0.000 C4#2 ON POV 0.821 0.144 5.720 0.000 Intercepts C1#1 3.168 0.124 25.592 0.000 C1#2 2.494 0.128 19.496 0.000 C2#1 -27.715 1.537 -18.037 0.000 C2#2 -28.122 0.079 -357.442 0.000 C3#1 -6.578 1.068 -6.162 0.000 C3#2 -5.998 1.421 -4.220 0.000 C4#1 -8.402 5.181 -1.622 0.105 C4#2 -29.886 0.082 -364.528 0.000 QUALITY OF NUMERICAL RESULTS Condition Number for the Information Matrix 0.486E-05 (ratio of smallest to largest eigenvalue) RESULTS IN PROBABILITY SCALE Two-Tailed Estimate S.E. Est./S.E. P-Value Results for Class-specific Model Parts of C1 Latent Class C1#1 LETREC1 Category 1 0.497 0.012 42.081 0.000 Category 2 0.503 0.012 42.507 0.000 BEGIN1 Category 1 0.937 0.008 118.844 0.000 Category 2 0.063 0.008 8.000 0.000 ENDING1 Category 1 0.988 0.002 397.082 0.000 Category 2 0.012 0.002 4.803 0.000 SIGHT1 Category 1 1.000 0.000 0.000 1.000 Category 2 0.000 0.000 0.000 1.000 WIC1 Category 1 1.000 0.000 0.000 1.000 Category 2 0.000 0.000 0.000 1.000 Latent Class C1#2 LETREC1 Category 1 0.006 0.001 5.311 0.000 Category 2 0.994 0.001 862.897 0.000 BEGIN1 Category 1 0.084 0.005 17.797 0.000 Category 2 0.916 0.005 193.014 0.000 ENDING1 Category 1 0.341 0.008 40.455 0.000 Category 2 0.659 0.008 78.218 0.000 SIGHT1 Category 1 0.949 0.005 176.918 0.000 Category 2 0.051 0.005 9.557 0.000 WIC1 Category 1 0.999 0.001 1794.245 0.000 Category 2 0.001 0.001 2.002 0.045 Latent Class C1#3 LETREC1 Category 1 0.000 0.000 0.000 1.000 Category 2 1.000 0.000 0.000 1.000 BEGIN1 Category 1 0.016 0.002 7.601 0.000 Category 2 0.984 0.002 463.854 0.000 ENDING1 Category 1 0.028 0.003 9.230 0.000 Category 2 0.972 0.003 324.704 0.000 SIGHT1 Category 1 0.016 0.003 5.185 0.000 Category 2 0.984 0.003 328.450 0.000 WIC1 Category 1 0.491 0.009 53.363 0.000 Category 2 0.509 0.009 55.348 0.000 Results for Class-specific Model Parts of C2 Latent Class C2#1 LETREC2 Category 1 0.497 0.012 42.081 0.000 Category 2 0.503 0.012 42.507 0.000 BEGIN2 Category 1 0.937 0.008 118.844 0.000 Category 2 0.063 0.008 8.000 0.000 ENDING2 Category 1 0.988 0.002 397.082 0.000 Category 2 0.012 0.002 4.803 0.000 SIGHT2 Category 1 1.000 0.000 0.000 1.000 Category 2 0.000 0.000 0.000 1.000 WIC2 Category 1 1.000 0.000 0.000 1.000 Category 2 0.000 0.000 0.000 1.000 Latent Class C2#2 LETREC2 Category 1 0.006 0.001 5.311 0.000 Category 2 0.994 0.001 862.897 0.000 BEGIN2 Category 1 0.084 0.005 17.797 0.000 Category 2 0.916 0.005 193.014 0.000 ENDING2 Category 1 0.341 0.008 40.455 0.000 Category 2 0.659 0.008 78.218 0.000 SIGHT2 Category 1 0.949 0.005 176.918 0.000 Category 2 0.051 0.005 9.557 0.000 WIC2 Category 1 0.999 0.001 1794.245 0.000 Category 2 0.001 0.001 2.002 0.045 Latent Class C2#3 LETREC2 Category 1 0.000 0.000 0.000 1.000 Category 2 1.000 0.000 0.000 1.000 BEGIN2 Category 1 0.016 0.002 7.601 0.000 Category 2 0.984 0.002 463.854 0.000 ENDING2 Category 1 0.028 0.003 9.230 0.000 Category 2 0.972 0.003 324.704 0.000 SIGHT2 Category 1 0.016 0.003 5.185 0.000 Category 2 0.984 0.003 328.450 0.000 WIC2 Category 1 0.491 0.009 53.363 0.000 Category 2 0.509 0.009 55.348 0.000 Results for Class-specific Model Parts of C3 Latent Class C3#1 LETREC3 Category 1 0.497 0.012 42.081 0.000 Category 2 0.503 0.012 42.507 0.000 BEGIN3 Category 1 0.937 0.008 118.844 0.000 Category 2 0.063 0.008 8.000 0.000 ENDING3 Category 1 0.988 0.002 397.082 0.000 Category 2 0.012 0.002 4.803 0.000 SIGHT3 Category 1 1.000 0.000 0.000 1.000 Category 2 0.000 0.000 0.000 1.000 WIC3 Category 1 1.000 0.000 0.000 1.000 Category 2 0.000 0.000 0.000 1.000 Latent Class C3#2 LETREC3 Category 1 0.006 0.001 5.311 0.000 Category 2 0.994 0.001 862.897 0.000 BEGIN3 Category 1 0.084 0.005 17.797 0.000 Category 2 0.916 0.005 193.014 0.000 ENDING3 Category 1 0.341 0.008 40.455 0.000 Category 2 0.659 0.008 78.218 0.000 SIGHT3 Category 1 0.949 0.005 176.918 0.000 Category 2 0.051 0.005 9.557 0.000 WIC3 Category 1 0.999 0.001 1794.245 0.000 Category 2 0.001 0.001 2.002 0.045 Latent Class C3#3 LETREC3 Category 1 0.000 0.000 0.000 1.000 Category 2 1.000 0.000 0.000 1.000 BEGIN3 Category 1 0.016 0.002 7.601 0.000 Category 2 0.984 0.002 463.854 0.000 ENDING3 Category 1 0.028 0.003 9.230 0.000 Category 2 0.972 0.003 324.704 0.000 SIGHT3 Category 1 0.016 0.003 5.185 0.000 Category 2 0.984 0.003 328.450 0.000 WIC3 Category 1 0.491 0.009 53.363 0.000 Category 2 0.509 0.009 55.348 0.000 Results for Class-specific Model Parts of C4 Latent Class C4#1 LETREC4 Category 1 0.497 0.012 42.081 0.000 Category 2 0.503 0.012 42.507 0.000 BEGIN4 Category 1 0.937 0.008 118.844 0.000 Category 2 0.063 0.008 8.000 0.000 ENDING4 Category 1 0.988 0.002 397.082 0.000 Category 2 0.012 0.002 4.803 0.000 SIGHT4 Category 1 1.000 0.000 0.000 1.000 Category 2 0.000 0.000 0.000 1.000 WIC4 Category 1 1.000 0.000 0.000 1.000 Category 2 0.000 0.000 0.000 1.000 Latent Class C4#2 LETREC4 Category 1 0.006 0.001 5.311 0.000 Category 2 0.994 0.001 862.897 0.000 BEGIN4 Category 1 0.084 0.005 17.797 0.000 Category 2 0.916 0.005 193.014 0.000 ENDING4 Category 1 0.341 0.008 40.455 0.000 Category 2 0.659 0.008 78.218 0.000 SIGHT4 Category 1 0.949 0.005 176.918 0.000 Category 2 0.051 0.005 9.557 0.000 WIC4 Category 1 0.999 0.001 1794.245 0.000 Category 2 0.001 0.001 2.002 0.045 Latent Class C4#3 LETREC4 Category 1 0.000 0.000 0.000 1.000 Category 2 1.000 0.000 0.000 1.000 BEGIN4 Category 1 0.016 0.002 7.601 0.000 Category 2 0.984 0.002 463.854 0.000 ENDING4 Category 1 0.028 0.003 9.230 0.000 Category 2 0.972 0.003 324.704 0.000 SIGHT4 Category 1 0.016 0.003 5.185 0.000 Category 2 0.984 0.003 328.450 0.000 WIC4 Category 1 0.491 0.009 53.363 0.000 Category 2 0.509 0.009 55.348 0.000 MODEL COMMAND WITH FINAL ESTIMATES USED AS STARTING VALUES %OVERALL% c2#1 ON c1#1*30.77934; c2#1 ON c1#2*21.49429; c2#2 ON c1#1*32.16563; c2#2 ON c1#2*28.78967; c3#1 ON c2#1*11.70776; c3#1 ON c2#2*2.14484; c3#2 ON c2#1*11.09833; c3#2 ON c2#2*7.53696; c4#1 ON c3#1*8.12707; c4#1 ON c3#2*3.11963; c4#2 ON c3#1*30.30549; c4#2 ON c3#2*27.84895; c1#1 ON pov*2.09201; c1#2 ON pov*0.63157; c2#1 ON pov*0.77827; c2#2 ON pov*-0.40770; c3#1 ON pov*2.15121; c3#2 ON pov*1.23270; c4#1 ON pov*0.92518; c4#2 ON pov*0.82148; [ c1#1*3.16752 ]; [ c1#2*2.49354 ]; [ c2#1*-27.71513 ]; [ c2#2*-28.12162 ]; [ c3#1*-6.57843 ]; [ c3#2*-5.99755 ]; [ c4#1*-8.40154 ]; [ c4#2*-29.88626 ]; MODEL C1: %C1#1% [ letrec1$1*-0.01005 ] (1); [ begin1$1*2.69836 ] (2); [ ending1$1*4.41496 ] (3); [ sight1$1*15 ] (4); [ wic1$1*15 ] (5); %C1#2% [ letrec1$1*-5.09048 ] (6); [ begin1$1*-2.38374 ] (7); [ ending1$1*-0.65931 ] (8); [ sight1$1*2.91844 ] (9); [ wic1$1*6.79822 ] (10); %C1#3% [ letrec1$1*-15 ] (11); [ begin1$1*-4.11123 ] (12); [ ending1$1*-3.56043 ] (13); [ sight1$1*-4.14853 ] (14); [ wic1$1*-0.03651 ] (15); MODEL C2: %C2#1% [ letrec2$1*-0.01005 ] (1); [ begin2$1*2.69836 ] (2); [ ending2$1*4.41496 ] (3); [ sight2$1*15 ] (4); [ wic2$1*15 ] (5); %C2#2% [ letrec2$1*-5.09048 ] (6); [ begin2$1*-2.38374 ] (7); [ ending2$1*-0.65931 ] (8); [ sight2$1*2.91844 ] (9); [ wic2$1*6.79822 ] (10); %C2#3% [ letrec2$1*-15 ] (11); [ begin2$1*-4.11123 ] (12); [ ending2$1*-3.56043 ] (13); [ sight2$1*-4.14853 ] (14); [ wic2$1*-0.03651 ] (15); MODEL C3: %C3#1% [ letrec3$1*-0.01005 ] (1); [ begin3$1*2.69836 ] (2); [ ending3$1*4.41496 ] (3); [ sight3$1*15 ] (4); [ wic3$1*15 ] (5); %C3#2% [ letrec3$1*-5.09048 ] (6); [ begin3$1*-2.38374 ] (7); [ ending3$1*-0.65931 ] (8); [ sight3$1*2.91844 ] (9); [ wic3$1*6.79822 ] (10); %C3#3% [ letrec3$1*-15 ] (11); [ begin3$1*-4.11123 ] (12); [ ending3$1*-3.56043 ] (13); [ sight3$1*-4.14853 ] (14); [ wic3$1*-0.03651 ] (15); MODEL C4: %C4#1% [ letrec4$1*-0.01005 ] (1); [ begin4$1*2.69836 ] (2); [ ending4$1*4.41496 ] (3); [ sight4$1*15 ] (4); [ wic4$1*15 ] (5); %C4#2% [ letrec4$1*-5.09048 ] (6); [ begin4$1*-2.38374 ] (7); [ ending4$1*-0.65931 ] (8); [ sight4$1*2.91844 ] (9); [ wic4$1*6.79822 ] (10); %C4#3% [ letrec4$1*-15 ] (11); [ begin4$1*-4.11123 ] (12); [ ending4$1*-3.56043 ] (13); [ sight4$1*-4.14853 ] (14); [ wic4$1*-0.03651 ] (15); TECHNICAL 10 OUTPUT TECH10 OUTPUT FOR THE CATEGORICAL VARIABLES IS NOT AVAILABLE BECAUSE THE FREQUENCY TABLE FOR THE LATENT CLASS INDICATOR MODEL PART IS TOO LARGE. TECHNICAL 15 OUTPUT ESTIMATED CONDITIONAL PROBABILITIES FOR THE LATENT CLASS VARIABLES EVALUATED AT THE SAMPLE MEAN FOR ALL COVARIATES P(C1=1)=0.743 P(C1=2)=0.240 P(C1=3)=0.016 P(C2=1|C1=1)=0.347 P(C2=2|C1=1)=0.640 P(C2=3|C1=1)=0.013 P(C2=1|C1=2)=0.001 P(C2=2|C1=2)=0.632 P(C2=3|C1=2)=0.368 P(C2=1|C1=3)=0.000 P(C2=2|C1=3)=0.000 P(C2=3|C1=3)=1.000 P(C3=1|C1=1,C2=1)=0.577 P(C3=2|C1=1,C2=1)=0.421 P(C3=3|C1=1,C2=1)=0.002 P(C3=1|C1=1,C2=2)=0.003 P(C3=2|C1=1,C2=2)=0.870 P(C3=3|C1=1,C2=2)=0.127 P(C3=1|C1=1,C2=3)=0.003 P(C3=2|C1=1,C2=3)=0.004 P(C3=3|C1=1,C2=3)=0.994 P(C3=1|C1=2,C2=1)=0.577 P(C3=2|C1=2,C2=1)=0.421 P(C3=3|C1=2,C2=1)=0.002 P(C3=1|C1=2,C2=2)=0.003 P(C3=2|C1=2,C2=2)=0.870 P(C3=3|C1=2,C2=2)=0.127 P(C3=1|C1=2,C2=3)=0.003 P(C3=2|C1=2,C2=3)=0.004 P(C3=3|C1=2,C2=3)=0.994 P(C3=1|C1=3,C2=1)=0.577 P(C3=2|C1=3,C2=1)=0.421 P(C3=3|C1=3,C2=1)=0.002 P(C3=1|C1=3,C2=2)=0.003 P(C3=2|C1=3,C2=2)=0.870 P(C3=3|C1=3,C2=2)=0.127 P(C3=1|C1=3,C2=3)=0.003 P(C3=2|C1=3,C2=3)=0.004 P(C3=3|C1=3,C2=3)=0.994 P(C4=1|C1=1,C2=1,C3=1)=0.255 P(C4=2|C1=1,C2=1,C3=1)=0.494 P(C4=3|C1=1,C2=1,C3=1)=0.251 P(C4=1|C1=1,C2=1,C3=2)=0.006 P(C4=2|C1=1,C2=1,C3=2)=0.143 P(C4=3|C1=1,C2=1,C3=2)=0.851 P(C4=1|C1=1,C2=1,C3=3)=0.000 P(C4=2|C1=1,C2=1,C3=3)=0.000 P(C4=3|C1=1,C2=1,C3=3)=1.000 P(C4=1|C1=1,C2=2,C3=1)=0.255 P(C4=2|C1=1,C2=2,C3=1)=0.494 P(C4=3|C1=1,C2=2,C3=1)=0.251 P(C4=1|C1=1,C2=2,C3=2)=0.006 P(C4=2|C1=1,C2=2,C3=2)=0.143 P(C4=3|C1=1,C2=2,C3=2)=0.851 P(C4=1|C1=1,C2=2,C3=3)=0.000 P(C4=2|C1=1,C2=2,C3=3)=0.000 P(C4=3|C1=1,C2=2,C3=3)=1.000 P(C4=1|C1=1,C2=3,C3=1)=0.255 P(C4=2|C1=1,C2=3,C3=1)=0.494 P(C4=3|C1=1,C2=3,C3=1)=0.251 P(C4=1|C1=1,C2=3,C3=2)=0.006 P(C4=2|C1=1,C2=3,C3=2)=0.143 P(C4=3|C1=1,C2=3,C3=2)=0.851 P(C4=1|C1=1,C2=3,C3=3)=0.000 P(C4=2|C1=1,C2=3,C3=3)=0.000 P(C4=3|C1=1,C2=3,C3=3)=1.000 P(C4=1|C1=2,C2=1,C3=1)=0.255 P(C4=2|C1=2,C2=1,C3=1)=0.494 P(C4=3|C1=2,C2=1,C3=1)=0.251 P(C4=1|C1=2,C2=1,C3=2)=0.006 P(C4=2|C1=2,C2=1,C3=2)=0.143 P(C4=3|C1=2,C2=1,C3=2)=0.851 P(C4=1|C1=2,C2=1,C3=3)=0.000 P(C4=2|C1=2,C2=1,C3=3)=0.000 P(C4=3|C1=2,C2=1,C3=3)=1.000 P(C4=1|C1=2,C2=2,C3=1)=0.255 P(C4=2|C1=2,C2=2,C3=1)=0.494 P(C4=3|C1=2,C2=2,C3=1)=0.251 P(C4=1|C1=2,C2=2,C3=2)=0.006 P(C4=2|C1=2,C2=2,C3=2)=0.143 P(C4=3|C1=2,C2=2,C3=2)=0.851 P(C4=1|C1=2,C2=2,C3=3)=0.000 P(C4=2|C1=2,C2=2,C3=3)=0.000 P(C4=3|C1=2,C2=2,C3=3)=1.000 P(C4=1|C1=2,C2=3,C3=1)=0.255 P(C4=2|C1=2,C2=3,C3=1)=0.494 P(C4=3|C1=2,C2=3,C3=1)=0.251 P(C4=1|C1=2,C2=3,C3=2)=0.006 P(C4=2|C1=2,C2=3,C3=2)=0.143 P(C4=3|C1=2,C2=3,C3=2)=0.851 P(C4=1|C1=2,C2=3,C3=3)=0.000 P(C4=2|C1=2,C2=3,C3=3)=0.000 P(C4=3|C1=2,C2=3,C3=3)=1.000 P(C4=1|C1=3,C2=1,C3=1)=0.255 P(C4=2|C1=3,C2=1,C3=1)=0.494 P(C4=3|C1=3,C2=1,C3=1)=0.251 P(C4=1|C1=3,C2=1,C3=2)=0.006 P(C4=2|C1=3,C2=1,C3=2)=0.143 P(C4=3|C1=3,C2=1,C3=2)=0.851 P(C4=1|C1=3,C2=1,C3=3)=0.000 P(C4=2|C1=3,C2=1,C3=3)=0.000 P(C4=3|C1=3,C2=1,C3=3)=1.000 P(C4=1|C1=3,C2=2,C3=1)=0.255 P(C4=2|C1=3,C2=2,C3=1)=0.494 P(C4=3|C1=3,C2=2,C3=1)=0.251 P(C4=1|C1=3,C2=2,C3=2)=0.006 P(C4=2|C1=3,C2=2,C3=2)=0.143 P(C4=3|C1=3,C2=2,C3=2)=0.851 P(C4=1|C1=3,C2=2,C3=3)=0.000 P(C4=2|C1=3,C2=2,C3=3)=0.000 P(C4=3|C1=3,C2=2,C3=3)=1.000 P(C4=1|C1=3,C2=3,C3=1)=0.255 P(C4=2|C1=3,C2=3,C3=1)=0.494 P(C4=3|C1=3,C2=3,C3=1)=0.251 P(C4=1|C1=3,C2=3,C3=2)=0.006 P(C4=2|C1=3,C2=3,C3=2)=0.143 P(C4=3|C1=3,C2=3,C3=2)=0.851 P(C4=1|C1=3,C2=3,C3=3)=0.000 P(C4=2|C1=3,C2=3,C3=3)=0.000 P(C4=3|C1=3,C2=3,C3=3)=1.000 ESTIMATED MARGINAL PROBABILITIES FOR THE LATENT CLASS VARIABLES EVALUATED AT THE SAMPLE MEAN FOR ALL COVARIATES P(C2=1)=0.258 P(C2=2)=0.627 P(C2=3)=0.114 P(C3=1)=0.151 P(C3=2)=0.655 P(C3=3)=0.194 P(C4=1)=0.042 P(C4=2)=0.168 P(C4=3)=0.789 FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASSES BASED ON THE ESTIMATED MODEL Latent Class Pattern 1 1 1 1 130.81376 0.03659 1 1 1 2 247.57272 0.06925 1 1 1 3 114.91070 0.03214 1 1 2 1 2.01367 0.00056 1 1 2 2 49.35402 0.01381 1 1 2 3 288.11572 0.08059 1 1 3 1 0.00043 0.00000 1 1 3 2 0.00000 0.00000 1 1 3 3 1.66656 0.00047 1 2 1 1 1.13378 0.00032 1 2 1 2 2.17306 0.00061 1 2 1 3 1.10596 0.00031 1 2 2 1 7.39604 0.00207 1 2 2 2 183.45215 0.05132 1 2 2 3 1160.63733 0.32465 1 2 3 1 0.06184 0.00002 1 2 3 2 0.00000 0.00000 1 2 3 3 251.35119 0.07031 1 3 1 1 0.03263 0.00001 1 3 1 2 0.06034 0.00002 1 3 1 3 0.02299 0.00001 1 3 2 1 0.00084 0.00000 1 3 2 2 0.02015 0.00001 1 3 2 3 0.09658 0.00003 1 3 3 1 0.00919 0.00000 1 3 3 2 0.00000 0.00000 1 3 3 3 30.31703 0.00848 2 1 1 1 0.10423 0.00003 2 1 1 2 0.20279 0.00006 2 1 1 3 0.11379 0.00003 2 1 2 1 0.00178 0.00000 2 1 2 2 0.04463 0.00001 2 1 2 3 0.30543 0.00009 2 1 3 1 0.00000 0.00000 2 1 3 2 0.00000 0.00000 2 1 3 3 0.00198 0.00000 2 2 1 1 0.37692 0.00011 2 2 1 2 0.73986 0.00021 2 2 1 3 0.43792 0.00012 2 2 2 1 2.67857 0.00075 2 2 2 2 67.76646 0.01896 2 2 2 3 482.70114 0.13502 2 2 3 1 0.02615 0.00001 2 2 3 2 0.00000 0.00000 2 2 3 3 112.83944 0.03156 2 3 1 1 0.21358 0.00006 2 3 1 2 0.40561 0.00011 2 3 1 3 0.19328 0.00005 2 3 2 1 0.00613 0.00000 2 3 2 2 0.15071 0.00004 2 3 2 3 0.90084 0.00025 2 3 3 1 0.08927 0.00002 2 3 3 2 0.00000 0.00000 2 3 3 3 350.81384 0.09813 3 1 1 1 0.00000 0.00000 3 1 1 2 0.00000 0.00000 3 1 1 3 0.00000 0.00000 3 1 2 1 0.00000 0.00000 3 1 2 2 0.00000 0.00000 3 1 2 3 0.00000 0.00000 3 1 3 1 0.00000 0.00000 3 1 3 2 0.00000 0.00000 3 1 3 3 0.00000 0.00000 3 2 1 1 0.00000 0.00000 3 2 1 2 0.00000 0.00000 3 2 1 3 0.00000 0.00000 3 2 2 1 0.00000 0.00000 3 2 2 2 0.00000 0.00000 3 2 2 3 0.00000 0.00000 3 2 3 1 0.00000 0.00000 3 2 3 2 0.00000 0.00000 3 2 3 3 0.00000 0.00000 3 3 1 1 0.03632 0.00001 3 3 1 2 0.07047 0.00002 3 3 1 3 0.03891 0.00001 3 3 2 1 0.00113 0.00000 3 3 2 2 0.02828 0.00001 3 3 2 3 0.19114 0.00005 3 3 3 1 0.01929 0.00001 3 3 3 2 0.00000 0.00000 3 3 3 3 81.18141 0.02271 FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASSES BASED ON ESTIMATED POSTERIOR PROBABILITIES Latent Class Pattern 1 1 1 1 132.34666 0.03702 1 1 1 2 248.66445 0.06956 1 1 1 3 112.05224 0.03134 1 1 2 1 1.56849 0.00044 1 1 2 2 78.93097 0.02208 1 1 2 3 259.22500 0.07251 1 1 3 1 0.00000 0.00000 1 1 3 2 0.00000 0.00000 1 1 3 3 1.66800 0.00047 1 2 1 1 0.34984 0.00010 1 2 1 2 2.54478 0.00071 1 2 1 3 1.54438 0.00043 1 2 2 1 7.01384 0.00196 1 2 2 2 203.16323 0.05683 1 2 2 3 1226.14949 0.34298 1 2 3 1 0.00089 0.00000 1 2 3 2 0.00000 0.00000 1 2 3 3 166.55611 0.04659 1 3 1 1 0.00001 0.00000 1 3 1 2 0.00043 0.00000 1 3 1 3 0.55316 0.00015 1 3 2 1 0.00000 0.00000 1 3 2 2 0.00093 0.00000 1 3 2 3 0.03930 0.00001 1 3 3 1 0.00000 0.00000 1 3 3 2 0.00000 0.00000 1 3 3 3 29.96434 0.00838 2 1 1 1 0.00036 0.00000 2 1 1 2 0.00251 0.00000 2 1 1 3 0.66047 0.00018 2 1 2 1 0.00003 0.00000 2 1 2 2 0.00481 0.00000 2 1 2 3 0.10559 0.00003 2 1 3 1 0.00000 0.00000 2 1 3 2 0.00000 0.00000 2 1 3 3 0.00076 0.00000 2 2 1 1 0.01479 0.00000 2 2 1 2 0.02167 0.00001 2 2 1 3 1.49050 0.00042 2 2 2 1 3.51987 0.00098 2 2 2 2 18.71401 0.00523 2 2 2 3 446.08857 0.12478 2 2 3 1 0.18806 0.00005 2 2 3 2 0.00000 0.00000 2 2 3 3 197.51531 0.05525 2 3 1 1 0.00005 0.00000 2 3 1 2 0.00014 0.00000 2 3 1 3 0.52027 0.00015 2 3 2 1 0.00013 0.00000 2 3 2 2 0.00148 0.00000 2 3 2 3 1.34943 0.00038 2 3 3 1 0.01350 0.00000 2 3 3 2 0.00000 0.00000 2 3 3 3 350.88640 0.09815 3 1 1 1 0.00000 0.00000 3 1 1 2 0.00000 0.00000 3 1 1 3 0.00000 0.00000 3 1 2 1 0.00000 0.00000 3 1 2 2 0.00000 0.00000 3 1 2 3 0.00000 0.00000 3 1 3 1 0.00000 0.00000 3 1 3 2 0.00000 0.00000 3 1 3 3 0.00000 0.00000 3 2 1 1 0.00000 0.00000 3 2 1 2 0.00000 0.00000 3 2 1 3 0.00000 0.00000 3 2 2 1 0.00000 0.00000 3 2 2 2 0.00000 0.00000 3 2 2 3 0.00000 0.00000 3 2 3 1 0.00000 0.00000 3 2 3 2 0.00000 0.00000 3 2 3 3 0.00000 0.00000 3 3 1 1 0.00000 0.00000 3 3 1 2 0.00000 0.00000 3 3 1 3 0.00007 0.00000 3 3 2 1 0.00000 0.00000 3 3 2 2 0.00000 0.00000 3 3 2 3 0.00406 0.00000 3 3 3 1 0.00003 0.00000 3 3 3 2 0.00000 0.00000 3 3 3 3 81.56059 0.02281 FINAL CLASS COUNTS AND PROPORTIONS FOR EACH LATENT CLASS VARIABLE BASED ON ESTIMATED POSTERIOR PROBABILITIES Latent Class Variable Class C1 1 2472.33655 0.69156 2 1021.09870 0.28562 3 81.56475 0.02282 C2 1 835.23034 0.23363 2 2274.87533 0.63633 3 464.89433 0.13004 C3 1 500.76679 0.14007 2 2245.87923 0.62822 3 828.35398 0.23171 C4 1 145.01656 0.04056 2 552.04941 0.15442 3 2877.93404 0.80502 FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASSES BASED ON THEIR MOST LIKELY LATENT CLASS PATTERN Class Counts and Proportions Latent Class Pattern 1 1 1 1 131 0.03664 1 1 1 2 225 0.06294 1 1 1 3 123 0.03441 1 1 2 1 1 0.00028 1 1 2 2 115 0.03217 1 1 2 3 275 0.07692 1 1 3 1 0 0.00000 1 1 3 2 0 0.00000 1 1 3 3 1 0.00028 1 2 1 1 0 0.00000 1 2 1 2 0 0.00000 1 2 1 3 1 0.00028 1 2 2 1 6 0.00168 1 2 2 2 184 0.05147 1 2 2 3 1136 0.31776 1 2 3 1 0 0.00000 1 2 3 2 0 0.00000 1 2 3 3 161 0.04503 1 3 1 1 0 0.00000 1 3 1 2 0 0.00000 1 3 1 3 1 0.00028 1 3 2 1 0 0.00000 1 3 2 2 0 0.00000 1 3 2 3 0 0.00000 1 3 3 1 0 0.00000 1 3 3 2 0 0.00000 1 3 3 3 55 0.01538 2 1 1 1 0 0.00000 2 1 1 2 0 0.00000 2 1 1 3 1 0.00028 2 1 2 1 0 0.00000 2 1 2 2 0 0.00000 2 1 2 3 0 0.00000 2 1 3 1 0 0.00000 2 1 3 2 0 0.00000 2 1 3 3 0 0.00000 2 2 1 1 0 0.00000 2 2 1 2 0 0.00000 2 2 1 3 2 0.00056 2 2 2 1 4 0.00112 2 2 2 2 20 0.00559 2 2 2 3 451 0.12615 2 2 3 1 0 0.00000 2 2 3 2 0 0.00000 2 2 3 3 261 0.07301 2 3 1 1 0 0.00000 2 3 1 2 0 0.00000 2 3 1 3 0 0.00000 2 3 2 1 0 0.00000 2 3 2 2 0 0.00000 2 3 2 3 1 0.00028 2 3 3 1 0 0.00000 2 3 3 2 0 0.00000 2 3 3 3 330 0.09231 3 1 1 1 0 0.00000 3 1 1 2 0 0.00000 3 1 1 3 0 0.00000 3 1 2 1 0 0.00000 3 1 2 2 0 0.00000 3 1 2 3 0 0.00000 3 1 3 1 0 0.00000 3 1 3 2 0 0.00000 3 1 3 3 0 0.00000 3 2 1 1 0 0.00000 3 2 1 2 0 0.00000 3 2 1 3 0 0.00000 3 2 2 1 0 0.00000 3 2 2 2 0 0.00000 3 2 2 3 0 0.00000 3 2 3 1 0 0.00000 3 2 3 2 0 0.00000 3 2 3 3 0 0.00000 3 3 1 1 0 0.00000 3 3 1 2 0 0.00000 3 3 1 3 0 0.00000 3 3 2 1 0 0.00000 3 3 2 2 0 0.00000 3 3 2 3 0 0.00000 3 3 3 1 0 0.00000 3 3 3 2 0 0.00000 3 3 3 3 90 0.02517 FINAL CLASS COUNTS AND PROPORTIONS FOR EACH LATENT CLASS VARIABLE BASED ON THEIR MOST LIKELY LATENT CLASS PATTERN Latent Class Variable Class C1 1 2415 0.67552 2 1070 0.29930 3 90 0.02517 C2 1 872 0.24392 2 2226 0.62266 3 477 0.13343 C3 1 484 0.13538 2 2193 0.61343 3 898 0.25119 C4 1 142 0.03972 2 544 0.15217 3 2889 0.80811 LATENT CLASS INDICATOR ODDS RATIOS FOR THE LATENT CLASSES 95% C.I. Estimate S.E. Lower 2.5% Upper 2.5% Results for Class-specific Model Parts of C1 Latent Class C1#1 Compared to Latent Class C1#2 LETREC1 Category > 1 0.006 0.001 0.004 0.009 BEGIN1 Category > 1 0.006 0.001 0.005 0.008 ENDING1 Category > 1 0.006 0.001 0.004 0.009 SIGHT1 Category > 1 0.000 0.000 0.000 0.000 WIC1 Category > 1 0.000 0.000 0.000 0.000 Latent Class C1#1 Compared to Latent Class C1#3 LETREC1 Category > 1 0.000 0.000 0.000 0.000 BEGIN1 Category > 1 0.001 0.000 0.001 0.002 ENDING1 Category > 1 0.000 0.000 0.000 0.001 SIGHT1 Category > 1 0.000 0.000 0.000 0.000 WIC1 Category > 1 0.000 0.000 0.000 0.000 Latent Class C1#2 Compared to Latent Class C1#3 LETREC1 Category > 1 0.000 0.000 0.000 0.000 BEGIN1 Category > 1 0.178 0.026 0.133 0.237 ENDING1 Category > 1 0.055 0.006 0.044 0.069 SIGHT1 Category > 1 0.001 0.000 0.001 0.001 WIC1 Category > 1 0.001 0.001 0.000 0.003 Results for Class-specific Model Parts of C2 Latent Class C2#1 Compared to Latent Class C2#2 LETREC2 Category > 1 0.006 0.001 0.004 0.009 BEGIN2 Category > 1 0.006 0.001 0.005 0.008 ENDING2 Category > 1 0.006 0.001 0.004 0.009 SIGHT2 Category > 1 0.000 0.000 0.000 0.000 WIC2 Category > 1 0.000 0.000 0.000 0.000 Latent Class C2#1 Compared to Latent Class C2#3 LETREC2 Category > 1 0.000 0.000 0.000 0.000 BEGIN2 Category > 1 0.001 0.000 0.001 0.002 ENDING2 Category > 1 0.000 0.000 0.000 0.001 SIGHT2 Category > 1 0.000 0.000 0.000 0.000 WIC2 Category > 1 0.000 0.000 0.000 0.000 Latent Class C2#2 Compared to Latent Class C2#3 LETREC2 Category > 1 0.000 0.000 0.000 0.000 BEGIN2 Category > 1 0.178 0.026 0.133 0.237 ENDING2 Category > 1 0.055 0.006 0.044 0.069 SIGHT2 Category > 1 0.001 0.000 0.001 0.001 WIC2 Category > 1 0.001 0.001 0.000 0.003 Results for Class-specific Model Parts of C3 Latent Class C3#1 Compared to Latent Class C3#2 LETREC3 Category > 1 0.006 0.001 0.004 0.009 BEGIN3 Category > 1 0.006 0.001 0.005 0.008 ENDING3 Category > 1 0.006 0.001 0.004 0.009 SIGHT3 Category > 1 0.000 0.000 0.000 0.000 WIC3 Category > 1 0.000 0.000 0.000 0.000 Latent Class C3#1 Compared to Latent Class C3#3 LETREC3 Category > 1 0.000 0.000 0.000 0.000 BEGIN3 Category > 1 0.001 0.000 0.001 0.002 ENDING3 Category > 1 0.000 0.000 0.000 0.001 SIGHT3 Category > 1 0.000 0.000 0.000 0.000 WIC3 Category > 1 0.000 0.000 0.000 0.000 Latent Class C3#2 Compared to Latent Class C3#3 LETREC3 Category > 1 0.000 0.000 0.000 0.000 BEGIN3 Category > 1 0.178 0.026 0.133 0.237 ENDING3 Category > 1 0.055 0.006 0.044 0.069 SIGHT3 Category > 1 0.001 0.000 0.001 0.001 WIC3 Category > 1 0.001 0.001 0.000 0.003 Results for Class-specific Model Parts of C4 Latent Class C4#1 Compared to Latent Class C4#2 LETREC4 Category > 1 0.006 0.001 0.004 0.009 BEGIN4 Category > 1 0.006 0.001 0.005 0.008 ENDING4 Category > 1 0.006 0.001 0.004 0.009 SIGHT4 Category > 1 0.000 0.000 0.000 0.000 WIC4 Category > 1 0.000 0.000 0.000 0.000 Latent Class C4#1 Compared to Latent Class C4#3 LETREC4 Category > 1 0.000 0.000 0.000 0.000 BEGIN4 Category > 1 0.001 0.000 0.001 0.002 ENDING4 Category > 1 0.000 0.000 0.000 0.001 SIGHT4 Category > 1 0.000 0.000 0.000 0.000 WIC4 Category > 1 0.000 0.000 0.000 0.000 Latent Class C4#2 Compared to Latent Class C4#3 LETREC4 Category > 1 0.000 0.000 0.000 0.000 BEGIN4 Category > 1 0.178 0.026 0.133 0.237 ENDING4 Category > 1 0.055 0.006 0.044 0.069 SIGHT4 Category > 1 0.001 0.000 0.001 0.001 WIC4 Category > 1 0.001 0.001 0.000 0.003 TECHNICAL 8 OUTPUT E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM 1 -0.47225579D+05 0.0000000 0.0000000 EM 2 -0.29205055D+05 ************ 0.3815840 EM 3 -0.24362902D+05 4842.1524184 0.1657984 EM 4 -0.22387651D+05 1975.2513256 0.0810762 EM 5 -0.21886624D+05 501.0270152 0.0223796 EM 6 -0.21731721D+05 154.9026062 0.0070775 EM 7 -0.21663465D+05 68.2561805 0.0031409 EM 8 -0.21628620D+05 34.8455755 0.0016085 EM 9 -0.21609650D+05 18.9693732 0.0008770 EM 10 -0.21598963D+05 10.6871672 0.0004946 EM 11 -0.21592801D+05 6.1616014 0.0002853 EM 12 -0.21589188D+05 3.6138840 0.0001674 EM 13 -0.21587041D+05 2.1468735 0.0000994 EM 14 -0.21585754D+05 1.2864674 0.0000596 EM 15 -0.21584979D+05 0.7750038 0.0000359 EM 16 -0.21584511D+05 0.4679934 0.0000217 EM 17 -0.21584228D+05 0.2826921 0.0000131 EM 18 -0.21584058D+05 0.1706637 0.0000079 EM 19 -0.21583955D+05 0.1029715 0.0000048 EM 20 -0.21583893D+05 0.0621187 0.0000029 EM 21 -0.21583855D+05 0.0374903 0.0000017 EM 22 -0.21583833D+05 0.0226533 0.0000010 EM 23 -0.21583819D+05 0.0137180 0.0000006 EM 24 -0.21583811D+05 0.0083370 0.0000004 EM 25 -0.21583805D+05 0.0050958 0.0000002 EM 26 -0.21583802D+05 0.0031424 0.0000001 EM 27 -0.21583800D+05 0.0019642 0.0000001 EM 28 -0.21583799D+05 0.0012524 0.0000001 EM 29 -0.21583798D+05 0.0008213 0.0000000 EM 30 -0.21583798D+05 0.0005589 0.0000000 EM 31 -0.21583797D+05 0.0003980 0.0000000 EM 32 -0.21583797D+05 0.0002980 0.0000000 EM 33 -0.21583797D+05 0.0002346 0.0000000 EM 34 -0.21583797D+05 0.0001930 0.0000000 EM 35 -0.21583796D+05 0.0001647 0.0000000 EM 36 -0.21583796D+05 0.0001442 0.0000000 EM 37 -0.21583796D+05 0.0001285 0.0000000 EM 38 -0.21583796D+05 0.0001157 0.0000000 EM 39 -0.21583795D+05 0.0008524 0.0000000 FS 40 -0.21583795D+05 0.0001166 0.0000000 FS 41 -0.21583795D+05 0.0000035 0.0000000 FS TECHNICAL 8 OUTPUT FOR LATENT CLASS REORDERING E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM 1 -0.28617205D+05 0.0000000 0.0000000 EM 2 -0.22482204D+05 6135.0010696 0.2143816 EM 3 -0.21844731D+05 637.4725046 0.0283545 EM 4 -0.21668766D+05 175.9655866 0.0080553 EM 5 -0.21615305D+05 53.4608328 0.0024672 EM 6 -0.21597079D+05 18.2264818 0.0008432 EM 7 -0.21589919D+05 7.1597005 0.0003315 EM 8 -0.21586759D+05 3.1599688 0.0001464 EM 9 -0.21585282D+05 1.4764905 0.0000684 EM 10 -0.21584566D+05 0.7162441 0.0000332 EM 11 -0.21584207D+05 0.3587813 0.0000166 EM 12 -0.21584022D+05 0.1850300 0.0000086 EM 13 -0.21583924D+05 0.0981455 0.0000045 EM 14 -0.21583871D+05 0.0535208 0.0000025 EM 15 -0.21583841D+05 0.0299945 0.0000014 EM 16 -0.21583823D+05 0.0172702 0.0000008 EM 17 -0.21583813D+05 0.0102135 0.0000005 EM 18 -0.21583807D+05 0.0062021 0.0000003 EM 19 -0.21583803D+05 0.0038659 0.0000002 EM 20 -0.21583801D+05 0.0024725 0.0000001 EM 21 -0.21583799D+05 0.0016218 0.0000001 EM 22 -0.21583798D+05 0.0010904 0.0000001 EM 23 -0.21583797D+05 0.0007507 0.0000000 EM 24 -0.21583797D+05 0.0005288 0.0000000 EM 25 -0.21583796D+05 0.0003805 0.0000000 EM 26 -0.21583796D+05 0.0002792 0.0000000 EM 27 -0.21583796D+05 0.0002086 0.0000000 EM 28 -0.21583796D+05 0.0001584 0.0000000 EM 29 -0.21583796D+05 0.0001219 0.0000000 EM 30 -0.21583795D+05 0.0000951 0.0000000 EM Available post-processing tools Conditional probabilities and odds of the latent class variables DIAGRAM INFORMATION Mplus diagrams are currently not available for Mixture analysis. No diagram output was produced. Beginning Time: 13:53:07 Ending Time: 13:53:08 Elapsed Time: 00:00:01 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) 1998-2021 Muthen & Muthen