Mplus VERSION 8.8
MUTHEN & MUTHEN
11/27/2022 10:19 AM
OUTPUT SECTIONS
INPUT INSTRUCTIONS
TITLE: Multilevel DSEM model 3 with TINTERVAL
Within level:
- no parameters at this level
Between level:
- two random means and four random slopes and random (log) variances
- all random effects are allowed to be correlated
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%
CL TE phiCL-logVTE WITH
TE phiCL-logVTE; ! allow all 8 random effects (2 means, 4 slopes, 2
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.
FACTOR = ALL(100); ! sample factor scores (for the random effects) per
6 WARNING(S) FOUND IN THE INPUT INSTRUCTIONS
Multilevel DSEM model 3 with TINTERVAL
Within level:
- no parameters at this level
Between level:
- two random means and four random slopes and random (log) variances
- all random effects are allowed to be correlated
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 6
Observed dependent variables
Continuous
CL TE
Observed independent variables
CL&1 TE&1
Continuous latent variables
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 44
Information Criteria
Deviance (DIC) 129950.378
Estimated Number of Parameters (pD) 19307.409
MODEL RESULTS
Posterior One-Tailed 95% C.I.
Estimate S.D. P-Value Lower 2.5% Upper 2.5% Significance
Within Level
Between Level
CL WITH
PHICL -0.067 0.022 0.002 -0.110 -0.025 *
BETACL 0.087 0.026 0.000 0.040 0.142 *
PHITE -0.044 0.027 0.048 -0.099 0.007
BETATE 0.027 0.022 0.100 -0.015 0.070
LOGVCL -0.031 0.042 0.225 -0.116 0.052
LOGVTE -0.036 0.027 0.076 -0.092 0.013
TE WITH
PHICL 0.015 0.019 0.207 -0.022 0.051
BETACL -0.034 0.022 0.049 -0.078 0.007
PHITE 0.035 0.024 0.067 -0.011 0.082
BETATE 0.002 0.019 0.462 -0.037 0.040
LOGVCL 0.067 0.036 0.032 -0.004 0.138
LOGVTE -0.012 0.022 0.291 -0.057 0.033
PHICL WITH
BETACL -0.017 0.004 0.000 -0.025 -0.010 *
PHITE 0.009 0.004 0.008 0.001 0.017 *
BETATE 0.000 0.003 0.453 -0.006 0.007
LOGVCL 0.010 0.007 0.070 -0.003 0.023
LOGVTE 0.002 0.004 0.314 -0.005 0.010
BETACL WITH
PHITE -0.013 0.005 0.003 -0.024 -0.004 *
BETATE 0.002 0.004 0.264 -0.005 0.010
LOGVCL -0.014 0.008 0.027 -0.030 0.000
LOGVTE -0.001 0.005 0.410 -0.011 0.007
PHITE WITH
BETATE -0.003 0.004 0.186 -0.011 0.004
LOGVCL 0.008 0.008 0.161 -0.007 0.024
LOGVTE -0.005 0.005 0.137 -0.015 0.005
BETATE WITH
LOGVCL 0.004 0.007 0.286 -0.010 0.018
LOGVTE 0.005 0.005 0.124 -0.004 0.015
LOGVCL WITH
LOGVTE 0.004 0.008 0.321 -0.011 0.019
CL WITH
TE -0.744 0.134 0.000 -1.039 -0.508 *
Means
CL 5.009 0.097 0.000 4.822 5.201 *
TE 14.933 0.085 0.000 14.766 15.095 *
PHICL 0.235 0.016 0.000 0.204 0.265 *
BETACL -0.207 0.018 0.000 -0.241 -0.171 *
PHITE 0.097 0.019 0.000 0.060 0.134 *
BETATE -0.106 0.016 0.000 -0.137 -0.074 *
LOGVCL 0.019 0.029 0.259 -0.037 0.076
LOGVTE -0.039 0.019 0.021 -0.076 -0.001 *
Variances
CL 1.797 0.211 0.000 1.439 2.268 *
TE 1.347 0.147 0.000 1.110 1.681 *
PHICL 0.016 0.004 0.000 0.009 0.027 *
BETACL 0.039 0.006 0.000 0.029 0.053 *
PHITE 0.027 0.006 0.000 0.016 0.040 *
BETATE 0.015 0.005 0.000 0.008 0.025 *
LOGVCL 0.123 0.018 0.000 0.093 0.163 *
LOGVTE 0.022 0.007 0.000 0.011 0.039 *
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 0.236 0.012 0.000 0.211 0.257 *
BETACL | CL ON
TE -0.181 0.010 0.000 -0.200 -0.164 *
PHITE | TE ON
TE&1 0.094 0.015 0.000 0.066 0.124 *
BETATE | TE ON
CL&1 -0.115 0.014 0.000 -0.141 -0.085 *
LOGVCL |
CL 0.848 0.008 0.000 0.834 0.864 *
LOGVTE |
TE 0.923 0.008 0.000 0.908 0.938 *
Between Level
CL WITH
PHICL -0.391 0.120 0.002 -0.616 -0.147 *
BETACL 0.332 0.085 0.000 0.157 0.489 *
PHITE -0.206 0.117 0.048 -0.420 0.032
BETATE 0.166 0.126 0.100 -0.094 0.402
LOGVCL -0.067 0.088 0.225 -0.236 0.108
LOGVTE -0.181 0.131 0.076 -0.447 0.067
TE WITH
PHICL 0.100 0.123 0.207 -0.142 0.335
BETACL -0.150 0.090 0.049 -0.320 0.029
PHITE 0.185 0.120 0.067 -0.062 0.412
BETATE 0.013 0.131 0.462 -0.249 0.269
LOGVCL 0.164 0.084 0.032 -0.009 0.322
LOGVTE -0.071 0.128 0.291 -0.313 0.196
PHICL WITH
BETACL -0.695 0.139 0.000 -0.920 -0.389 *
PHITE 0.434 0.173 0.008 0.066 0.737 *
BETATE 0.024 0.196 0.453 -0.378 0.391
LOGVCL 0.220 0.147 0.070 -0.069 0.495
LOGVTE 0.099 0.198 0.314 -0.256 0.498
BETACL WITH
PHITE -0.427 0.139 0.003 -0.671 -0.143 *
BETATE 0.098 0.151 0.264 -0.200 0.387
LOGVCL -0.207 0.104 0.027 -0.407 0.004
LOGVTE -0.037 0.157 0.410 -0.356 0.244
PHITE WITH
BETATE -0.168 0.194 0.186 -0.556 0.199
LOGVCL 0.137 0.135 0.161 -0.131 0.400
LOGVTE -0.220 0.189 0.137 -0.543 0.191
BETATE WITH
LOGVCL 0.093 0.163 0.286 -0.218 0.415
LOGVTE 0.279 0.239 0.124 -0.205 0.702
LOGVCL WITH
LOGVTE 0.070 0.147 0.321 -0.211 0.364
CL WITH
TE -0.480 0.058 0.000 -0.584 -0.357 *
Means
CL 3.735 0.231 0.000 3.293 4.205 *
TE 12.867 0.682 0.000 11.490 14.156 *
PHICL 1.844 0.293 0.000 1.350 2.500 *
BETACL -1.046 0.120 0.000 -1.279 -0.810 *
PHITE 0.599 0.133 0.000 0.347 0.866 *
BETATE -0.867 0.193 0.000 -1.293 -0.542 *
LOGVCL 0.054 0.082 0.259 -0.106 0.219
LOGVTE -0.264 0.134 0.021 -0.540 -0.008 *
Variances
CL 1.000 0.000 0.000 1.000 1.000
TE 1.000 0.000 0.000 1.000 1.000
PHICL 1.000 0.000 0.000 1.000 1.000
BETACL 1.000 0.000 0.000 1.000 1.000
PHITE 1.000 0.000 0.000 1.000 1.000
BETATE 1.000 0.000 0.000 1.000 1.000
LOGVCL 1.000 0.000 0.000 1.000 1.000
LOGVTE 1.000 0.000 0.000 1.000 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 0.008 0.000 0.136 0.166
TE 0.077 0.008 0.000 0.062 0.092
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
PHICL BETACL PHITE BETATE LOGVCL
________ ________ ________ ________ ________
CL 0 0 0 0 0
TE 0 0 0 0 0
LAMBDA
LOGVTE CL TE
________ ________ ________
CL 0 0 0
TE 0 0 0
THETA
CL TE
________ ________
CL 0
TE 0 0
ALPHA
PHICL BETACL PHITE BETATE LOGVCL
________ ________ ________ ________ ________
1 2 3 4 5
ALPHA
LOGVTE CL TE
________ ________ ________
6 7 8
BETA
PHICL BETACL PHITE BETATE LOGVCL
________ ________ ________ ________ ________
PHICL 0 0 0 0 0
BETACL 0 0 0 0 0
PHITE 0 0 0 0 0
BETATE 0 0 0 0 0
LOGVCL 0 0 0 0 0
LOGVTE 0 0 0 0 0
CL 0 0 0 0 0
TE 0 0 0 0 0
BETA
LOGVTE CL TE
________ ________ ________
PHICL 0 0 0
BETACL 0 0 0
PHITE 0 0 0
BETATE 0 0 0
LOGVCL 0 0 0
LOGVTE 0 0 0
CL 0 0 0
TE 0 0 0
PSI
PHICL BETACL PHITE BETATE LOGVCL
________ ________ ________ ________ ________
PHICL 9
BETACL 10 11
PHITE 12 13 14
BETATE 15 16 17 18
LOGVCL 19 20 21 22 23
LOGVTE 24 25 26 27 28
CL 30 31 32 33 34
TE 37 38 39 40 41
PSI
LOGVTE CL TE
________ ________ ________
LOGVTE 29
CL 35 36
TE 42 43 44
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
PHICL BETACL PHITE BETATE LOGVCL
________ ________ ________ ________ ________
CL 0.000 0.000 0.000 0.000 0.000
TE 0.000 0.000 0.000 0.000 0.000
LAMBDA
LOGVTE CL TE
________ ________ ________
CL 0.000 1.000 0.000
TE 0.000 0.000 1.000
THETA
CL TE
________ ________
CL 0.000
TE 0.000 0.000
ALPHA
PHICL BETACL PHITE BETATE LOGVCL
________ ________ ________ ________ ________
0.000 0.000 0.000 0.000 0.000
ALPHA
LOGVTE CL TE
________ ________ ________
0.000 4.997 14.942
BETA
PHICL BETACL PHITE BETATE LOGVCL
________ ________ ________ ________ ________
PHICL 0.000 0.000 0.000 0.000 0.000
BETACL 0.000 0.000 0.000 0.000 0.000
PHITE 0.000 0.000 0.000 0.000 0.000
BETATE 0.000 0.000 0.000 0.000 0.000
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
BETA
LOGVTE CL TE
________ ________ ________
PHICL 0.000 0.000 0.000
BETACL 0.000 0.000 0.000
PHITE 0.000 0.000 0.000
BETATE 0.000 0.000 0.000
LOGVCL 0.000 0.000 0.000
LOGVTE 0.000 0.000 0.000
CL 0.000 0.000 0.000
TE 0.000 0.000 0.000
PSI
PHICL BETACL PHITE BETATE LOGVCL
________ ________ ________ ________ ________
PHICL 1.000
BETACL 0.000 1.000
PHITE 0.000 0.000 1.000
BETATE 0.000 0.000 0.000 1.000
LOGVCL 0.000 0.000 0.000 0.000 1.000
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
LOGVTE CL TE
________ ________ ________
LOGVTE 1.000
CL 0.000 1.541
TE 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~IW(0.000,-9) infinity infinity infinity
Parameter 10~IW(0.000,-9) infinity infinity infinity
Parameter 11~IW(0.000,-9) infinity infinity infinity
Parameter 12~IW(0.000,-9) infinity infinity infinity
Parameter 13~IW(0.000,-9) infinity infinity infinity
Parameter 14~IW(0.000,-9) infinity infinity infinity
Parameter 15~IW(0.000,-9) infinity infinity infinity
Parameter 16~IW(0.000,-9) infinity infinity infinity
Parameter 17~IW(0.000,-9) infinity infinity infinity
Parameter 18~IW(0.000,-9) infinity infinity infinity
Parameter 19~IW(0.000,-9) infinity infinity infinity
Parameter 20~IW(0.000,-9) infinity infinity infinity
Parameter 21~IW(0.000,-9) infinity infinity infinity
Parameter 22~IW(0.000,-9) infinity infinity infinity
Parameter 23~IW(0.000,-9) infinity infinity infinity
Parameter 24~IW(0.000,-9) infinity infinity infinity
Parameter 25~IW(0.000,-9) infinity infinity infinity
Parameter 26~IW(0.000,-9) infinity infinity infinity
Parameter 27~IW(0.000,-9) infinity infinity infinity
Parameter 28~IW(0.000,-9) infinity infinity infinity
Parameter 29~IW(0.000,-9) infinity infinity infinity
Parameter 30~IW(0.000,-9) infinity infinity infinity
Parameter 31~IW(0.000,-9) infinity infinity infinity
Parameter 32~IW(0.000,-9) infinity infinity infinity
Parameter 33~IW(0.000,-9) infinity infinity infinity
Parameter 34~IW(0.000,-9) infinity infinity infinity
Parameter 35~IW(0.000,-9) infinity infinity infinity
Parameter 36~IW(0.000,-9) infinity infinity infinity
Parameter 37~IW(0.000,-9) infinity infinity infinity
Parameter 38~IW(0.000,-9) infinity infinity infinity
Parameter 39~IW(0.000,-9) infinity infinity infinity
Parameter 40~IW(0.000,-9) infinity infinity infinity
Parameter 41~IW(0.000,-9) infinity infinity infinity
Parameter 42~IW(0.000,-9) infinity infinity infinity
Parameter 43~IW(0.000,-9) infinity infinity infinity
Parameter 44~IW(0.000,-9) 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 1.781 6
200 1.306 6
300 1.255 26
400 1.161 26
500 1.123 33
600 1.069 28
700 1.089 1
800 1.079 42
900 1.111 6
1000 1.196 6
1100 1.196 6
1200 1.135 6
1300 1.093 6
1400 1.084 29
1500 1.073 29
1600 1.102 29
1700 1.107 29
1800 1.115 29
1900 1.076 29
2000 1.063 29
2100 1.046 32
2200 1.030 1
2300 1.034 23
2400 1.026 1
2500 1.028 1
2600 1.030 23
2700 1.024 23
2800 1.027 6
2900 1.038 6
3000 1.050 6
3100 1.053 6
3200 1.047 6
3300 1.035 6
3400 1.031 6
3500 1.031 6
3600 1.029 6
3700 1.023 6
3800 1.027 6
3900 1.029 6
4000 1.033 6
4100 1.035 6
4200 1.028 6
4300 1.023 6
4400 1.016 6
4500 1.016 26
4600 1.017 26
4700 1.017 40
4800 1.017 40
4900 1.017 40
5000 1.016 40
SUMMARIES OF PLAUSIBLE VALUES (N = NUMBER OF OBSERVATIONS * NUMBER OF IMPUTATIONS)
SAMPLE STATISTICS
Means
PHICL BETACL PHITE BETATE LOGVCL
________ ________ ________ ________ ________
0.232 -0.207 0.094 -0.107 0.013
Means
LOGVTE B_CL B_TE
________ ________ ________
-0.051 5.018 14.926
Covariances
PHICL BETACL PHITE BETATE LOGVCL
________ ________ ________ ________ ________
PHICL 0.016
BETACL -0.017 0.039
PHITE 0.009 -0.014 0.028
BETATE 0.000 0.000 -0.002 0.014
LOGVCL 0.007 -0.014 0.009 0.004 0.109
LOGVTE 0.002 0.000 -0.006 0.005 0.001
B_CL -0.068 0.079 -0.053 0.005 -0.015
B_TE 0.013 -0.030 0.042 0.006 0.050
Covariances
LOGVTE B_CL B_TE
________ ________ ________
LOGVTE 0.026
B_CL -0.030 1.579
B_TE -0.014 -0.658 1.228
Correlations
PHICL BETACL PHITE BETATE LOGVCL
________ ________ ________ ________ ________
PHICL 1.000
BETACL -0.705 1.000
PHITE 0.409 -0.429 1.000
BETATE -0.020 -0.010 -0.118 1.000
LOGVCL 0.160 -0.209 0.171 0.101 1.000
LOGVTE 0.116 -0.011 -0.234 0.255 0.027
B_CL -0.428 0.319 -0.250 0.032 -0.037
B_TE 0.092 -0.139 0.226 0.044 0.136
Correlations
LOGVTE B_CL B_TE
________ ________ ________
LOGVTE 1.000
B_CL -0.148 1.000
B_TE -0.081 -0.473 1.000
SUMMARY OF PLAUSIBLE STANDARD DEVIATION (N = NUMBER OF OBSERVATIONS)
SAMPLE STATISTICS
Means
PHICL_SD BETACL_S PHITE_SD BETATE_S LOGVCL_S
________ ________ ________ ________ ________
0.080 0.107 0.116 0.097 0.166
Means
LOGVTE_S B_CL_SD B_TE_SD
________ ________ ________
0.122 0.189 0.159
Covariances
PHICL_SD BETACL_S PHITE_SD BETATE_S LOGVCL_S
________ ________ ________ ________ ________
PHICL_SD 0.000
BETACL_S 0.000 0.000
PHITE_SD 0.000 0.000 0.000
BETATE_S 0.000 0.000 0.000 0.000
LOGVCL_S 0.000 0.000 0.000 0.000 0.001
LOGVTE_S 0.000 0.000 0.000 0.000 0.000
B_CL_SD 0.000 0.000 0.000 -0.001 0.000
B_TE_SD 0.000 0.000 0.000 0.000 0.000
Covariances
LOGVTE_S B_CL_SD B_TE_SD
________ ________ ________
LOGVTE_S 0.000
B_CL_SD 0.000 0.010
B_TE_SD 0.000 0.005 0.003
Correlations
PHICL_SD BETACL_S PHITE_SD BETATE_S LOGVCL_S
________ ________ ________ ________ ________
PHICL_SD 1.000
BETACL_S 0.298 1.000
PHITE_SD 0.229 0.235 1.000
BETATE_S 0.251 -0.244 0.132 1.000
LOGVCL_S 0.189 0.108 0.077 0.172 1.000
LOGVTE_S -0.034 -0.087 0.201 0.157 0.112
B_CL_SD -0.306 0.043 -0.148 -0.440 -0.018
B_TE_SD -0.314 -0.118 -0.170 -0.295 0.022
Correlations
LOGVTE_S B_CL_SD B_TE_SD
________ ________ ________
LOGVTE_S 1.000
B_CL_SD -0.072 1.000
B_TE_SD 0.027 0.923 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: 10:19:23
Ending Time: 10:23:23
Elapsed Time: 00:04:00
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