Mplus VERSION 8.8
MUTHEN & MUTHEN
11/28/2022 8:53 AM
OUTPUT SECTIONS
INPUT INSTRUCTIONS TITLE: Multilevel DSEM model 4 with TINTERVAL Withinevel: - no parameters at this level Between level: - two random means and four random slopes and random (log) variances - all random effects are indicators of a latent variable DATA: file = MLdata.dat; ! data file VARIABLE: NAMES ARE CL TE N RS time person; ! variables names (in the order they appear in the USEVARIABLES = CL TE; ! which variables to include in the analysis CLUSTER = person; ! which variable indicates the clustering of the d LAGGED = CL(1) TE(1); ! create lagged versions of CL and TE (lag 1) TINTERVAL = time(1); ! which variable indicates the timing of observati ANALYSIS: TYPE = TWOLEVEL RANDOM; ! two-level data and allow for random slopes and/o ESTIMATOR = BAYES; ! use Bayesian estimation PROC = 2; ! use 2 processors BITER = (5000); ! run at least 5000 iterations (more if needed acc MODEL: %WITHIN% phiCL | CL ON CL&1; ! random autoregression for CL betaCL | CL ON TE; ! random cross-regression from TE_t -> CL_t phiTE | TE ON TE&1; ! random autoregression for TE betaTE | TE ON CL&1; ! random cross-lagged regression from CL_t-1 -> TE logVCL | CL; ! random residual variance for CL logVTE | TE; ! random residual variance for TE %BETWEEN% CT BY CL TE pHiCL*0.01 betaCL-logVTE; ! CT is a common trait measured by the 8 random ef OUTPUT: TECH1 TECH8 STDYX; ! obtain additional output PLOT: TYPE = PLOT3; ! enable plot options FACTOR = ALL(100); ! sample factor scores (for the random effects) pe *** WARNING Input line exceeded 90 characters. Some input may be truncated. CLUSTER = person; ! which variable indicates the clustering of the da *** WARNING Input line exceeded 90 characters. Some input may be truncated. TINTERVAL = time(1); ! which variable indicates the timing of observatio *** WARNING Input line exceeded 90 characters. Some input may be truncated. TYPE = TWOLEVEL RANDOM; ! two-level data and allow for random slopes and/or *** WARNING Input line exceeded 90 characters. Some input may be truncated. BITER = (5000); ! run at least 5000 iterations (more if needed acco *** WARNING Input line exceeded 90 characters. Some input may be truncated. betaTE | TE ON CL&1; ! random cross-lagged regression from CL_t-1 -> TE_ *** WARNING Input line exceeded 90 characters. Some input may be truncated. pHiCL*0.01 betaCL-logVTE; ! CT is a common trait measured by the 8 random eff *** WARNING Input line exceeded 90 characters. Some input may be truncated. FACTOR = ALL(100); ! sample factor scores (for the random effects) per 7 WARNING(S) FOUND IN THE INPUT INSTRUCTIONS Multilevel DSEM model 4 with TINTERVAL Withinevel: - no parameters at this level Between level: - two random means and four random slopes and random (log) variances - all random effects are indicators of a latent variable SUMMARY OF ANALYSIS Number of groups 1 Number of observations 19563 Number of dependent variables 2 Number of independent variables 2 Number of continuous latent variables 7 Observed dependent variables Continuous CL TE Observed independent variables CL&1 TE&1 Continuous latent variables CT PHICL BETACL PHITE BETATE LOGVCL LOGVTE Variables with special functions Cluster variable PERSON Within variables CL&1 TE&1 Estimator BAYES Specifications for Bayesian Estimation Point estimate MEDIAN Number of Markov chain Monte Carlo (MCMC) chains 2 Random seed for the first chain 0 Starting value information UNPERTURBED Algorithm used for Markov chain Monte Carlo GIBBS(PX1) Convergence criterion 0.500D-01 Maximum number of iterations 50000 K-th iteration used for thinning 1 Specifications for Bayes Factor Score Estimation Number of imputed data sets 100 Iteration intervals for thinning 1 Input data file(s) MLdata.dat Input data format FREE SUMMARY OF DATA Number of clusters 200 Size (s) Cluster ID with Size s 89 186 90 92 92 79 90 147 93 183 23 172 94 15 33 21 28 114 121 163 78 63 24 95 37 200 165 53 124 179 100 162 118 48 75 111 30 96 69 112 81 131 43 175 88 17 192 4 184 38 105 136 135 97 2 182 93 160 139 129 144 67 177 13 45 127 153 133 54 56 98 87 32 159 189 96 91 142 151 193 35 137 180 138 47 72 143 101 22 140 174 31 195 145 122 123 110 104 64 55 198 199 191 42 74 161 5 65 99 152 157 197 20 52 7 80 99 14 36 95 1 11 141 26 83 134 58 49 178 9 130 40 25 171 155 149 84 85 62 181 146 71 39 106 170 125 150 196 176 3 44 98 128 115 50 77 164 168 46 12 57 97 107 120 187 100 173 156 70 10 29 109 113 126 59 132 34 116 169 108 68 41 103 51 18 60 27 185 16 167 73 61 94 8 76 66 86 158 117 82 102 154 19 119 194 148 166 188 190 89 6 SUMMARY OF MISSING DATA PATTERNS Number of missing data patterns 4 MISSING DATA PATTERNS (x = not missing) 1 2 3 4 CL x x TE x x CL&1 x x TE&1 x x MISSING DATA PATTERN FREQUENCIES Pattern Frequency Pattern Frequency Pattern Frequency 1 4993 3 4794 2 4994 4 4782 COVARIANCE COVERAGE OF DATA Minimum covariance coverage value 0.100 PROPORTION OF DATA PRESENT Covariance Coverage CL TE ________ ________ CL 0.511 TE 0.511 0.511 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 CL 4.997 -0.530 -5.930 0.01% 3.620 4.680 5.090 9987.000 3.082 1.444 10.480 0.01% 5.490 6.430 TE 14.942 0.046 9.400 0.01% 13.700 14.600 14.900 9987.000 2.323 -0.049 19.900 0.04% 15.300 16.200 WARNING: PROBLEMS OCCURRED IN SEVERAL ITERATIONS IN THE COMPUTATION OF THE STANDARDIZED ESTIMATES FOR SEVERAL CLUSTERS. THIS IS MOST LIKELY DUE TO AR COEFFICIENTS GREATER THAN 1 OR PARAMETERS GIVING NON-STATIONARY MODELS. SUCH POSTERIOR DRAWS ARE REMOVED. THE FOLLOWING CLUSTERS HAD SUCH PROBLEMS: 70 THE MODEL ESTIMATION TERMINATED NORMALLY USE THE FBITERATIONS OPTION TO INCREASE THE NUMBER OF ITERATIONS BY A FACTOR OF AT LEAST TWO TO CHECK CONVERGENCE AND THAT THE PSR VALUE DOES NOT INCREASE. MODEL FIT INFORMATION Number of Free Parameters 24 Information Criteria Deviance (DIC) 129939.939 Estimated Number of Parameters (pD) 19276.997 MODEL RESULTS Posterior One-Tailed 95% C.I. Estimate S.D. P-Value Lower 2.5% Upper 2.5% Significance Within Level Between Level CT BY CL 1.000 0.000 0.000 1.000 1.000 TE -0.660 0.156 0.000 -1.044 -0.407 * CT BY PHICL -0.103 0.054 0.000 -0.246 -0.041 * BETACL 0.130 0.071 0.000 0.057 0.321 * PHITE -0.095 0.051 0.001 -0.234 -0.033 * BETATE 0.017 0.024 0.208 -0.025 0.070 LOGVCL -0.084 0.060 0.029 -0.237 0.003 LOGVTE -0.006 0.029 0.413 -0.071 0.048 Intercepts CL 5.011 0.092 0.000 4.825 5.186 * TE 14.934 0.080 0.000 14.780 15.090 * PHICL 0.240 0.015 0.000 0.210 0.270 * BETACL -0.202 0.017 0.000 -0.237 -0.169 * PHITE 0.095 0.018 0.000 0.059 0.131 * BETATE -0.105 0.015 0.000 -0.136 -0.076 * LOGVCL 0.020 0.029 0.244 -0.038 0.075 LOGVTE -0.038 0.018 0.017 -0.075 -0.003 * Variances CT 0.670 0.295 0.000 0.187 1.265 * Residual Variances CL 0.966 0.247 0.000 0.508 1.440 * TE 0.961 0.147 0.000 0.709 1.282 * PHICL 0.007 0.005 0.000 0.001 0.019 * BETACL 0.024 0.007 0.000 0.011 0.038 * PHITE 0.018 0.006 0.000 0.008 0.031 * BETATE 0.012 0.004 0.000 0.005 0.020 * LOGVCL 0.108 0.016 0.000 0.079 0.142 * LOGVTE 0.016 0.005 0.000 0.007 0.028 * STANDARDIZED MODEL RESULTS STDYX Standardization Posterior One-Tailed 95% C.I. Estimate S.D. P-Value Lower 2.5% Upper 2.5% Significance Within-Level Standardized Estimates Averaged Over Clusters PHICL | CL ON CL&1 0.242 0.013 0.000 0.216 0.266 * BETACL | CL ON TE -0.180 0.010 0.000 -0.199 -0.161 * PHITE | TE ON TE&1 0.096 0.015 0.000 0.069 0.127 * BETATE | TE ON CL&1 -0.116 0.013 0.000 -0.143 -0.092 * LOGVCL | CL 0.848 0.007 0.000 0.833 0.863 * LOGVTE | TE 0.929 0.007 0.000 0.915 0.943 * Between Level CT BY CL 0.642 0.131 0.000 0.353 0.835 * TE -0.483 0.110 0.000 -0.653 -0.231 * CT BY PHICL -0.695 0.173 0.000 -0.951 -0.326 * BETACL 0.564 0.140 0.000 0.295 0.830 * PHITE -0.502 0.145 0.001 -0.755 -0.203 * BETATE 0.127 0.156 0.208 -0.170 0.435 LOGVCL -0.200 0.103 0.029 -0.398 0.007 LOGVTE -0.038 0.162 0.413 -0.356 0.260 Intercepts CL 3.928 0.236 0.000 3.471 4.391 * TE 13.329 0.695 0.000 12.015 14.706 * PHICL 1.935 0.316 0.000 1.435 2.668 * BETACL -1.068 0.123 0.000 -1.332 -0.839 * PHITE 0.614 0.145 0.000 0.349 0.917 * BETATE -0.970 0.208 0.000 -1.458 -0.627 * LOGVCL 0.059 0.085 0.244 -0.113 0.220 LOGVTE -0.305 0.160 0.017 -0.676 -0.023 * Variances CT 1.000 0.000 0.000 1.000 1.000 Residual Variances CL 0.588 0.158 0.000 0.302 0.875 * TE 0.767 0.099 0.000 0.573 0.947 * PHICL 0.516 0.226 0.000 0.095 0.894 * BETACL 0.682 0.159 0.000 0.312 0.913 * PHITE 0.748 0.141 0.000 0.430 0.959 * BETATE 0.980 0.056 0.000 0.810 1.000 * LOGVCL 0.960 0.044 0.000 0.842 1.000 * LOGVTE 0.987 0.039 0.000 0.864 1.000 * R-SQUARE Within-Level R-Square Averaged Across Clusters Posterior One-Tailed 95% C.I. Variable Estimate S.D. P-Value Lower 2.5% Upper 2.5% CL 0.152 0.007 0.000 0.137 0.166 TE 0.071 0.007 0.000 0.057 0.085 Between Level Posterior One-Tailed 95% C.I. Variable Estimate S.D. P-Value Lower 2.5% Upper 2.5% CL 0.412 0.158 0.000 0.125 0.698 TE 0.233 0.099 0.000 0.053 0.427 Posterior One-Tailed 95% C.I. Variable Estimate S.D. P-Value Lower 2.5% Upper 2.5% PHICL 0.484 0.226 0.000 0.105 0.905 BETACL 0.318 0.159 0.000 0.087 0.688 PHITE 0.252 0.141 0.000 0.041 0.569 BETATE 0.020 0.056 0.000 0.000 0.189 LOGVCL 0.040 0.044 0.000 0.000 0.157 LOGVTE 0.013 0.039 0.000 0.000 0.135 TECHNICAL 1 OUTPUT PARAMETER SPECIFICATION FOR WITHIN NU CL TE CL&1 TE&1 ________ ________ ________ ________ 0 0 0 0 LAMBDA CL TE CL&1 TE&1 ________ ________ ________ ________ CL 0 0 0 0 TE 0 0 0 0 CL&1 0 0 0 0 TE&1 0 0 0 0 THETA CL TE CL&1 TE&1 ________ ________ ________ ________ CL 0 TE 0 0 CL&1 0 0 0 TE&1 0 0 0 0 ALPHA CL TE CL&1 TE&1 ________ ________ ________ ________ 0 0 0 0 BETA CL TE CL&1 TE&1 ________ ________ ________ ________ CL 0 0 0 0 TE 0 0 0 0 CL&1 0 0 0 0 TE&1 0 0 0 0 PSI CL TE CL&1 TE&1 ________ ________ ________ ________ CL 0 TE 0 0 CL&1 0 0 0 TE&1 0 0 0 0 PARAMETER SPECIFICATION FOR BETWEEN NU CL TE ________ ________ 0 0 LAMBDA CT PHICL BETACL PHITE BETATE ________ ________ ________ ________ ________ CL 0 0 0 0 0 TE 0 0 0 0 0 LAMBDA LOGVCL LOGVTE CL TE ________ ________ ________ ________ CL 0 0 0 0 TE 0 0 0 0 THETA CL TE ________ ________ CL 0 TE 0 0 ALPHA CT PHICL BETACL PHITE BETATE ________ ________ ________ ________ ________ 0 1 2 3 4 ALPHA LOGVCL LOGVTE CL TE ________ ________ ________ ________ 5 6 7 8 BETA CT PHICL BETACL PHITE BETATE ________ ________ ________ ________ ________ CT 0 0 0 0 0 PHICL 9 0 0 0 0 BETACL 10 0 0 0 0 PHITE 11 0 0 0 0 BETATE 12 0 0 0 0 LOGVCL 13 0 0 0 0 LOGVTE 14 0 0 0 0 CL 0 0 0 0 0 TE 15 0 0 0 0 BETA LOGVCL LOGVTE CL TE ________ ________ ________ ________ CT 0 0 0 0 PHICL 0 0 0 0 BETACL 0 0 0 0 PHITE 0 0 0 0 BETATE 0 0 0 0 LOGVCL 0 0 0 0 LOGVTE 0 0 0 0 CL 0 0 0 0 TE 0 0 0 0 PSI CT PHICL BETACL PHITE BETATE ________ ________ ________ ________ ________ CT 16 PHICL 0 17 BETACL 0 0 18 PHITE 0 0 0 19 BETATE 0 0 0 0 20 LOGVCL 0 0 0 0 0 LOGVTE 0 0 0 0 0 CL 0 0 0 0 0 TE 0 0 0 0 0 PSI LOGVCL LOGVTE CL TE ________ ________ ________ ________ LOGVCL 21 LOGVTE 0 22 CL 0 0 23 TE 0 0 0 24 STARTING VALUES FOR WITHIN NU CL TE CL&1 TE&1 ________ ________ ________ ________ 0.000 0.000 0.000 0.000 LAMBDA CL TE CL&1 TE&1 ________ ________ ________ ________ CL 1.000 0.000 0.000 0.000 TE 0.000 1.000 0.000 0.000 CL&1 0.000 0.000 1.000 0.000 TE&1 0.000 0.000 0.000 1.000 THETA CL TE CL&1 TE&1 ________ ________ ________ ________ CL 0.000 TE 0.000 0.000 CL&1 0.000 0.000 0.000 TE&1 0.000 0.000 0.000 0.000 ALPHA CL TE CL&1 TE&1 ________ ________ ________ ________ 0.000 0.000 0.000 0.000 BETA CL TE CL&1 TE&1 ________ ________ ________ ________ CL 0.000 0.000 0.000 0.000 TE 0.000 0.000 0.000 0.000 CL&1 0.000 0.000 0.000 0.000 TE&1 0.000 0.000 0.000 0.000 PSI CL TE CL&1 TE&1 ________ ________ ________ ________ CL 0.000 TE 0.000 0.000 CL&1 0.000 0.000 1.541 TE&1 0.000 0.000 0.000 1.162 STARTING VALUES FOR BETWEEN NU CL TE ________ ________ 0.000 0.000 LAMBDA CT PHICL BETACL PHITE BETATE ________ ________ ________ ________ ________ CL 0.000 0.000 0.000 0.000 0.000 TE 0.000 0.000 0.000 0.000 0.000 LAMBDA LOGVCL LOGVTE CL TE ________ ________ ________ ________ CL 0.000 0.000 1.000 0.000 TE 0.000 0.000 0.000 1.000 THETA CL TE ________ ________ CL 0.000 TE 0.000 0.000 ALPHA CT PHICL BETACL PHITE BETATE ________ ________ ________ ________ ________ 0.000 0.000 0.000 0.000 0.000 ALPHA LOGVCL LOGVTE CL TE ________ ________ ________ ________ 0.000 0.000 4.997 14.942 BETA CT PHICL BETACL PHITE BETATE ________ ________ ________ ________ ________ CT 0.000 0.000 0.000 0.000 0.000 PHICL 0.010 0.000 0.000 0.000 0.000 BETACL 1.000 0.000 0.000 0.000 0.000 PHITE 1.000 0.000 0.000 0.000 0.000 BETATE 1.000 0.000 0.000 0.000 0.000 LOGVCL 1.000 0.000 0.000 0.000 0.000 LOGVTE 1.000 0.000 0.000 0.000 0.000 CL 1.000 0.000 0.000 0.000 0.000 TE 1.000 0.000 0.000 0.000 0.000 BETA LOGVCL LOGVTE CL TE ________ ________ ________ ________ CT 0.000 0.000 0.000 0.000 PHICL 0.000 0.000 0.000 0.000 BETACL 0.000 0.000 0.000 0.000 PHITE 0.000 0.000 0.000 0.000 BETATE 0.000 0.000 0.000 0.000 LOGVCL 0.000 0.000 0.000 0.000 LOGVTE 0.000 0.000 0.000 0.000 CL 0.000 0.000 0.000 0.000 TE 0.000 0.000 0.000 0.000 PSI CT PHICL BETACL PHITE BETATE ________ ________ ________ ________ ________ CT 1.000 PHICL 0.000 1.000 BETACL 0.000 0.000 1.000 PHITE 0.000 0.000 0.000 1.000 BETATE 0.000 0.000 0.000 0.000 1.000 LOGVCL 0.000 0.000 0.000 0.000 0.000 LOGVTE 0.000 0.000 0.000 0.000 0.000 CL 0.000 0.000 0.000 0.000 0.000 TE 0.000 0.000 0.000 0.000 0.000 PSI LOGVCL LOGVTE CL TE ________ ________ ________ ________ LOGVCL 1.000 LOGVTE 0.000 1.000 CL 0.000 0.000 1.541 TE 0.000 0.000 0.000 1.162 PRIORS FOR ALL PARAMETERS PRIOR MEAN PRIOR VARIANCE PRIOR STD. DEV. Parameter 1~N(0.000,infinity) 0.0000 infinity infinity Parameter 2~N(0.000,infinity) 0.0000 infinity infinity Parameter 3~N(0.000,infinity) 0.0000 infinity infinity Parameter 4~N(0.000,infinity) 0.0000 infinity infinity Parameter 5~N(0.000,infinity) 0.0000 infinity infinity Parameter 6~N(0.000,infinity) 0.0000 infinity infinity Parameter 7~N(0.000,infinity) 0.0000 infinity infinity Parameter 8~N(0.000,infinity) 0.0000 infinity infinity Parameter 9~N(0.000,infinity) 0.0000 infinity infinity Parameter 10~N(0.000,infinity) 0.0000 infinity infinity Parameter 11~N(0.000,infinity) 0.0000 infinity infinity Parameter 12~N(0.000,infinity) 0.0000 infinity infinity Parameter 13~N(0.000,infinity) 0.0000 infinity infinity Parameter 14~N(0.000,infinity) 0.0000 infinity infinity Parameter 15~N(0.000,infinity) 0.0000 infinity infinity Parameter 16~IG(-1.000,0.000) infinity infinity infinity Parameter 17~IG(-1.000,0.000) infinity infinity infinity Parameter 18~IG(-1.000,0.000) infinity infinity infinity Parameter 19~IG(-1.000,0.000) infinity infinity infinity Parameter 20~IG(-1.000,0.000) infinity infinity infinity Parameter 21~IG(-1.000,0.000) infinity infinity infinity Parameter 22~IG(-1.000,0.000) infinity infinity infinity Parameter 23~IG(-1.000,0.000) infinity infinity infinity Parameter 24~IG(-1.000,0.000) infinity infinity infinity TECHNICAL 8 OUTPUT TECHNICAL 8 OUTPUT FOR BAYES ESTIMATION CHAIN BSEED 1 0 2 285380 POTENTIAL PARAMETER WITH ITERATION SCALE REDUCTION HIGHEST PSR 100 2.553 14 200 2.353 16 300 2.871 10 400 2.619 10 500 1.745 10 600 1.557 10 700 1.609 10 800 1.281 10 900 1.123 16 1000 1.028 22 1100 1.052 10 1200 1.094 10 1300 1.223 10 1400 1.336 10 1500 1.354 10 1600 1.233 10 1700 1.240 10 1800 1.229 11 1900 1.270 16 2000 1.245 16 2100 1.170 11 2200 1.147 11 2300 1.127 11 2400 1.063 11 2500 1.019 6 2600 1.026 13 2700 1.022 10 2800 1.024 10 2900 1.037 10 3000 1.036 10 3100 1.013 10 3200 1.014 6 3300 1.020 6 3400 1.025 6 3500 1.015 6 3600 1.013 6 3700 1.012 6 3800 1.009 6 3900 1.005 17 4000 1.004 4 4100 1.005 21 4200 1.007 21 4300 1.007 18 4400 1.010 18 4500 1.014 18 4600 1.028 10 4700 1.053 10 4800 1.073 10 4900 1.079 10 5000 1.064 10 SUMMARIES OF PLAUSIBLE VALUES (N = NUMBER OF OBSERVATIONS * NUMBER OF IMPUTATIONS) SAMPLE STATISTICS Means CT PHICL BETACL PHITE BETATE ________ ________ ________ ________ ________ 0.014 0.241 -0.202 0.104 -0.104 Means LOGVCL LOGVTE B_CL B_TE ________ ________ ________ ________ 0.027 -0.041 5.015 14.927 Covariances CT PHICL BETACL PHITE BETATE ________ ________ ________ ________ ________ CT 0.273 PHICL -0.048 0.014 BETACL 0.063 -0.012 0.037 PHITE -0.047 0.009 -0.012 0.025 BETATE 0.007 -0.001 0.001 -0.001 0.013 LOGVCL -0.048 0.009 -0.013 0.008 0.000 LOGVTE -0.004 0.001 -0.001 0.000 0.001 B_CL 0.319 -0.056 0.074 -0.053 0.011 B_TE -0.218 0.034 -0.036 0.035 -0.003 Covariances LOGVCL LOGVTE B_CL B_TE ________ ________ ________ ________ LOGVCL 0.113 LOGVTE 0.001 0.019 B_CL -0.044 -0.015 1.572 B_TE 0.045 -0.001 -0.628 1.215 Correlations CT PHICL BETACL PHITE BETATE ________ ________ ________ ________ ________ CT 1.000 PHICL -0.776 1.000 BETACL 0.629 -0.505 1.000 PHITE -0.572 0.460 -0.387 1.000 BETATE 0.122 -0.084 0.064 -0.085 1.000 LOGVCL -0.273 0.222 -0.199 0.160 -0.007 LOGVTE -0.050 0.043 -0.044 -0.005 0.037 B_CL 0.487 -0.376 0.308 -0.269 0.077 B_TE -0.379 0.263 -0.173 0.203 -0.023 Correlations LOGVCL LOGVTE B_CL B_TE ________ ________ ________ ________ LOGVCL 1.000 LOGVTE 0.025 1.000 B_CL -0.105 -0.089 1.000 B_TE 0.122 -0.007 -0.455 1.000 SUMMARY OF PLAUSIBLE STANDARD DEVIATION (N = NUMBER OF OBSERVATIONS) SAMPLE STATISTICS Means CT_SD PHICL_SD BETACL_S PHITE_SD BETATE_S ________ ________ ________ ________ ________ 0.346 0.085 0.111 0.113 0.093 Means LOGVCL_S LOGVTE_S B_CL_SD B_TE_SD ________ ________ ________ ________ 0.170 0.114 0.193 0.160 Covariances CT_SD PHICL_SD BETACL_S PHITE_SD BETATE_S ________ ________ ________ ________ ________ CT_SD 0.001 PHICL_SD 0.000 0.000 BETACL_S 0.000 0.000 0.000 PHITE_SD 0.000 0.000 0.000 0.000 BETATE_S 0.000 0.000 0.000 0.000 0.000 LOGVCL_S 0.000 0.000 0.000 0.000 0.000 LOGVTE_S 0.000 0.000 0.000 0.000 0.000 B_CL_SD 0.000 0.000 0.000 0.000 0.000 B_TE_SD 0.000 0.000 0.000 0.000 0.000 Covariances LOGVCL_S LOGVTE_S B_CL_SD B_TE_SD ________ ________ ________ ________ LOGVCL_S 0.001 LOGVTE_S 0.000 0.000 B_CL_SD 0.000 0.000 0.007 B_TE_SD 0.000 0.000 0.004 0.003 Correlations CT_SD PHICL_SD BETACL_S PHITE_SD BETATE_S ________ ________ ________ ________ ________ CT_SD 1.000 PHICL_SD 0.488 1.000 BETACL_S 0.127 0.027 1.000 PHITE_SD 0.216 0.233 -0.053 1.000 BETATE_S 0.126 0.195 -0.266 0.288 1.000 LOGVCL_S 0.112 0.031 -0.136 0.093 0.143 LOGVTE_S 0.126 0.168 0.133 0.168 0.122 B_CL_SD -0.052 -0.106 0.116 -0.111 -0.325 B_TE_SD -0.066 -0.053 -0.121 -0.007 -0.078 Correlations LOGVCL_S LOGVTE_S B_CL_SD B_TE_SD ________ ________ ________ ________ LOGVCL_S 1.000 LOGVTE_S 0.163 1.000 B_CL_SD 0.087 0.048 1.000 B_TE_SD 0.184 0.079 0.888 1.000 PLOT INFORMATION The following plots are available: Histograms (sample values, estimated factor scores) Scatterplots (sample values, estimated factor scores) Between-level histograms (sample values, sample/estimated means/variances, estimated factor scores) Between-level scatterplots (sample values, sample/estimated means/variances, estimated factor scores) Two-level cluster-specific observed and estimated values plots Time series plots (sample values, ACF, PACF, estimated factor scores) Histogram of subjects per time point Time interval plots Bayesian posterior parameter distributions Bayesian posterior parameter trace plots Bayesian autocorrelation plots Latent variable distribution plots DIAGRAM INFORMATION Mplus diagrams are currently not available for multilevel analysis. No diagram output was produced. Beginning Time: 08:53:08 Ending Time: 08:57:30 Elapsed Time: 00:04:22 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) 1998-2022 Muthen & Muthen