Mplus VERSION 6
MUTHEN & MUTHEN
04/25/2010 10:57 PM
INPUT INSTRUCTIONS
TITLE:
cont11
Growth model for two parallel processes observed over
four time points. Regression of the slope in one process
on the intercept of the other and a covariate.
Non-linear growth for the first process by estimating the
last two timesteps. Linear growth for the second process.
Complex sample analysis,
multilevel modeling (disaggregated modeling).
Same growth model functions for between- and within-level
model parts, but different relations among growth factors
and the covariate for between and within.
Same within model as for cont5.inp and cont8.inp
First process: y11, y12, y13, y14
Second process: y21, y22, y23, y24
Related, but different, modeling is presented in:
Muthen, B. (1997). Latent variable modeling with longitudinal
and and multilevel data. In A. Raftery (ed.), Sociological
Methodology 1997 (pp. 453-480). Boston: Blackwell Publishers.
DATA:
FILE IS comp.dat;
FORMAT is 3f8 f8.4 8f8.2 3f8 2f8.2;
VARIABLE:
NAMES ARE g1 g2 cluster g3
y11-y14
y21-y24
x1-x5;
USEOBS = (x1 EQ 1 AND g1 EQ 2);
MISSING = ALL (999);
USEVAR = y11-y24 x4;
CLUSTER = cluster;
DEFINE: Y11 = Y11/5;
Y12 = Y12/5;
Y13 = Y13/5;
Y14 = Y14/5;
ANALYSIS: TYPE = TWOLEVEL;
ITERATIONS = 1200;
ESTIMATOR = MUML;
MODEL:
%BETWEEN%
level1b BY y11-y14@1;
trend1b BY y11@0 y12@1 y13*2.5 y14*3.5;
level2b BY y21-y24@1;
trend2b BY y21@0 y22@1 y23@2 y24@3;
[y11-y24@0];
[level1b-trend2b];
! note that the mean structure is imposed on the
! between level as shown in the two statements above
level1b-trend2b ON x4;
%WITHIN%
level1w BY y11-y14@1;
trend1w BY y11@0 y12@1 y13*2.5 y14*3.5;
level2w BY y21-y24@1;
trend2w BY y21@0 y22@1 y23@2 y24@3;
level1w-trend2w ON x4;
trend1w ON level2w;
trend2w ON level1w;
level1w WITH level2w;
y21 WITH y22;
OUTPUT: SAMPSTAT STANDARDIZED TECH1;
*** WARNING in ANALYSIS command
Estimator MUML is only available when LISTWISE=ON is specified in the
DATA command. Default estimator will be used.
*** WARNING
Data set contains cases with missing on all variables.
These cases were not included in the analysis.
Number of cases with missing on all variables: 1
*** WARNING
Data set contains cases with missing on x-variables.
These cases were not included in the analysis.
Number of cases with missing on x-variables: 6
*** WARNING
Data set contains cases with missing on all variables except
x-variables. These cases were not included in the analysis.
Number of cases with missing on all variables except x-variables: 1
4 WARNING(S) FOUND IN THE INPUT INSTRUCTIONS
cont11
Growth model for two parallel processes observed over
four time points. Regression of the slope in one process
on the intercept of the other and a covariate.
Non-linear growth for the first process by estimating the
last two timesteps. Linear growth for the second process.
Complex sample analysis,
multilevel modeling (disaggregated modeling).
Same growth model functions for between- and within-level
model parts, but different relations among growth factors
and the covariate for between and within.
Same within model as for cont5.inp and cont8.inp
First process: y11, y12, y13, y14
Second process: y21, y22, y23, y24
Related, but different, modeling is presented in:
Muthen, B. (1997). Latent variable modeling with longitudinal
and and multilevel data. In A. Raftery (ed.), Sociological
Methodology 1997 (pp. 453-480). Boston: Blackwell Publishers.
SUMMARY OF ANALYSIS
Number of groups 1
Number of observations 1482
Number of dependent variables 8
Number of independent variables 1
Number of continuous latent variables 8
Observed dependent variables
Continuous
Y11 Y12 Y13 Y14 Y21 Y22
Y23 Y24
Observed independent variables
X4
Continuous latent variables
LEVEL1W TREND1W LEVEL2W TREND2W LEVEL1B TREND1B
LEVEL2B TREND2B
Variables with special functions
Cluster variable CLUSTER
Estimator MLR
Information matrix OBSERVED
Maximum number of iterations 1200
Convergence criterion 0.100D-05
Maximum number of EM iterations 500
Convergence criteria for the EM algorithm
Loglikelihood change 0.100D-02
Relative loglikelihood change 0.100D-05
Derivative 0.100D-03
Minimum variance 0.100D-03
Maximum number of steepest descent iterations 20
Maximum number of iterations for H1 2000
Convergence criterion for H1 0.100D-03
Optimization algorithm EMA
Input data file(s)
comp.dat
Input data format
(3F8 F8.4 8F8.2 3F8 2F8.2)
SUMMARY OF DATA
Number of missing data patterns 49
Number of clusters 52
Average cluster size 28.500
Estimated Intraclass Correlations for the Y Variables
Intraclass Intraclass Intraclass
Variable Correlation Variable Correlation Variable Correlation
Y11 0.199 Y12 0.143 Y13 0.163
Y14 0.156 Y21 0.048 Y22 0.055
Y23 0.026 Y24 0.023
COVARIANCE COVERAGE OF DATA
Minimum covariance coverage value 0.100
PROPORTION OF DATA PRESENT
Covariance Coverage
Y11 Y12 Y13 Y14 Y21
________ ________ ________ ________ ________
Y11 0.986
Y12 0.881 0.889
Y13 0.789 0.757 0.798
Y14 0.742 0.707 0.702 0.749
Y21 0.978 0.881 0.790 0.742 0.991
Y22 0.865 0.868 0.744 0.694 0.868
Y23 0.778 0.746 0.769 0.690 0.779
Y24 0.756 0.720 0.710 0.735 0.756
X4 0.986 0.889 0.798 0.749 0.991
Covariance Coverage
Y22 Y23 Y24 X4
________ ________ ________ ________
Y22 0.876
Y23 0.732 0.787
Y24 0.707 0.702 0.763
X4 0.876 0.787 0.763 1.000
SAMPLE STATISTICS
NOTE: The sample statistics for within and between refer to the
maximum-likelihood estimated within and between covariance
matrices, respectively.
ESTIMATED SAMPLE STATISTICS FOR WITHIN
Means
Y11 Y12 Y13 Y14 Y21
________ ________ ________ ________ ________
1 0.000 0.000 0.000 0.000 0.000
Means
Y22 Y23 Y24 X4
________ ________ ________ ________
1 0.000 0.000 0.000 0.000
Covariances
Y11 Y12 Y13 Y14 Y21
________ ________ ________ ________ ________
Y11 2.832
Y12 2.498 3.218
Y13 2.651 2.951 3.982
Y14 2.820 3.150 3.650 5.062
Y21 1.000 1.103 1.218 1.430 6.919
Y22 0.964 1.164 1.362 1.656 3.868
Y23 0.757 0.920 1.087 1.376 2.906
Y24 0.690 0.860 1.101 1.419 2.828
X4 0.228 0.264 0.330 0.343 0.080
Covariances
Y22 Y23 Y24 X4
________ ________ ________ ________
Y22 6.728
Y23 3.764 7.419
Y24 3.401 4.481 8.297
X4 0.099 0.110 0.003 0.451
Correlations
Y11 Y12 Y13 Y14 Y21
________ ________ ________ ________ ________
Y11 1.000
Y12 0.828 1.000
Y13 0.790 0.824 1.000
Y14 0.745 0.780 0.813 1.000
Y21 0.226 0.234 0.232 0.242 1.000
Y22 0.221 0.250 0.263 0.284 0.567
Y23 0.165 0.188 0.200 0.224 0.406
Y24 0.142 0.166 0.191 0.219 0.373
X4 0.202 0.219 0.246 0.227 0.045
Correlations
Y22 Y23 Y24 X4
________ ________ ________ ________
Y22 1.000
Y23 0.533 1.000
Y24 0.455 0.571 1.000
X4 0.057 0.060 0.001 1.000
ESTIMATED SAMPLE STATISTICS FOR BETWEEN
Means
Y11 Y12 Y13 Y14 Y21
________ ________ ________ ________ ________
1 10.297 10.827 11.520 12.057 11.073
Means
Y22 Y23 Y24 X4
________ ________ ________ ________
1 10.942 10.583 10.102 -0.013
Covariances
Y11 Y12 Y13 Y14 Y21
________ ________ ________ ________ ________
Y11 0.705
Y12 0.583 0.539
Y13 0.714 0.629 0.775
Y14 0.738 0.673 0.814 0.938
Y21 0.110 0.110 0.107 0.094 0.348
Y22 0.068 0.099 0.047 0.075 0.231
Y23 0.075 0.092 0.043 0.043 0.094
Y24 0.104 0.068 0.034 0.024 0.121
X4 0.202 0.165 0.197 0.227 0.000
Covariances
Y22 Y23 Y24 X4
________ ________ ________ ________
Y22 0.395
Y23 0.064 0.197
Y24 0.168 0.126 0.197
X4 -0.019 0.045 0.019 0.087
Correlations
Y11 Y12 Y13 Y14 Y21
________ ________ ________ ________ ________
Y11 1.000
Y12 0.946 1.000
Y13 0.966 0.973 1.000
Y14 0.908 0.947 0.955 1.000
Y21 0.221 0.255 0.205 0.164 1.000
Y22 0.128 0.215 0.085 0.124 0.624
Y23 0.202 0.282 0.109 0.100 0.360
Y24 0.281 0.208 0.087 0.056 0.461
X4 0.813 0.761 0.757 0.794 0.000
Correlations
Y22 Y23 Y24 X4
________ ________ ________ ________
Y22 1.000
Y23 0.229 1.000
Y24 0.604 0.638 1.000
X4 -0.101 0.343 0.143 1.000
MAXIMUM LOG-LIKELIHOOD VALUE FOR THE UNRESTRICTED (H1) MODEL IS -21374.703
THE MODEL ESTIMATION TERMINATED NORMALLY
WARNING: THE LATENT VARIABLE COVARIANCE MATRIX (PSI) IS NOT POSITIVE
DEFINITE. THIS COULD INDICATE A NEGATIVE VARIANCE/RESIDUAL VARIANCE FOR A
LATENT VARIABLE, A CORRELATION GREATER OR EQUAL TO ONE BETWEEN TWO LATENT
VARIABLES, OR A LINEAR DEPENDENCY AMONG MORE THAN TWO LATENT VARIABLES.
CHECK THE TECH4 OUTPUT FOR MORE INFORMATION.
TESTS OF MODEL FIT
Chi-Square Test of Model Fit
Value 84.918*
Degrees of Freedom 45
P-Value 0.0003
Scaling Correction Factor 0.878
for MLR
* The chi-square value for MLM, MLMV, MLR, ULSMV, WLSM and WLSMV cannot be used
for chi-square difference testing in the regular way. MLM, MLR and WLSM
chi-square difference testing is described on the Mplus website. MLMV, WLSMV,
and ULSMV difference testing is done using the DIFFTEST option.
Chi-Square Test of Model Fit for the Baseline Model
Value 5778.107
Degrees of Freedom 72
P-Value 0.0000
CFI/TLI
CFI 0.993
TLI 0.989
Loglikelihood
H0 Value -21411.997
H0 Scaling Correction Factor 1.198
for MLR
H1 Value -21374.703
H1 Scaling Correction Factor 1.048
for MLR
Information Criteria
Number of Free Parameters 51
Akaike (AIC) 42925.995
Bayesian (BIC) 43196.353
Sample-Size Adjusted BIC 43034.341
(n* = (n + 2) / 24)
RMSEA (Root Mean Square Error Of Approximation)
Estimate 0.024
SRMR (Standardized Root Mean Square Residual)
Value for Within 0.014
Value for Between 0.067
MODEL RESULTS
Two-Tailed
Estimate S.E. Est./S.E. P-Value
Within Level
LEVEL1W BY
Y11 1.000 0.000 999.000 999.000
Y12 1.000 0.000 999.000 999.000
Y13 1.000 0.000 999.000 999.000
Y14 1.000 0.000 999.000 999.000
TREND1W BY
Y11 0.000 0.000 999.000 999.000
Y12 1.000 0.000 999.000 999.000
Y13 2.103 0.259 8.116 0.000
Y14 2.926 0.518 5.643 0.000
LEVEL2W BY
Y21 1.000 0.000 999.000 999.000
Y22 1.000 0.000 999.000 999.000
Y23 1.000 0.000 999.000 999.000
Y24 1.000 0.000 999.000 999.000
TREND2W BY
Y21 0.000 0.000 999.000 999.000
Y22 1.000 0.000 999.000 999.000
Y23 2.000 0.000 999.000 999.000
Y24 3.000 0.000 999.000 999.000
TREND1W ON
LEVEL2W 0.050 0.016 3.157 0.002
TREND2W ON
LEVEL1W -0.050 0.019 -2.568 0.010
LEVEL1W ON
X4 0.504 0.071 7.071 0.000
TREND1W ON
X4 0.084 0.023 3.648 0.000
LEVEL2W ON
X4 0.228 0.105 2.167 0.030
TREND2W ON
X4 -0.016 0.042 -0.379 0.704
LEVEL1W WITH
LEVEL2W 0.971 0.147 6.624 0.000
TREND2W WITH
TREND1W 0.029 0.018 1.630 0.103
Y21 WITH
Y22 0.841 0.189 4.447 0.000
Residual Variances
Y11 0.386 0.057 6.770 0.000
Y12 0.547 0.049 11.190 0.000
Y13 0.653 0.062 10.610 0.000
Y14 1.012 0.138 7.334 0.000
Y21 3.946 0.238 16.572 0.000
Y22 3.400 0.217 15.642 0.000
Y23 3.289 0.193 17.023 0.000
Y24 3.323 0.290 11.461 0.000
LEVEL1W 2.346 0.115 20.483 0.000
TREND1W 0.095 0.034 2.816 0.005
LEVEL2W 3.052 0.272 11.217 0.000
TREND2W 0.263 0.040 6.563 0.000
Between Level
LEVEL1B BY
Y11 1.000 0.000 999.000 999.000
Y12 1.000 0.000 999.000 999.000
Y13 1.000 0.000 999.000 999.000
Y14 1.000 0.000 999.000 999.000
TREND1B BY
Y11 0.000 0.000 999.000 999.000
Y12 1.000 0.000 999.000 999.000
Y13 2.338 0.192 12.166 0.000
Y14 3.376 0.296 11.421 0.000
LEVEL2B BY
Y21 1.000 0.000 999.000 999.000
Y22 1.000 0.000 999.000 999.000
Y23 1.000 0.000 999.000 999.000
Y24 1.000 0.000 999.000 999.000
TREND2B BY
Y21 0.000 0.000 999.000 999.000
Y22 1.000 0.000 999.000 999.000
Y23 2.000 0.000 999.000 999.000
Y24 3.000 0.000 999.000 999.000
LEVEL1B ON
X4 2.066 0.333 6.200 0.000
TREND1B ON
X4 0.087 0.095 0.922 0.356
LEVEL2B ON
X4 -0.032 0.334 -0.097 0.922
TREND2B ON
X4 0.107 0.181 0.591 0.554
TREND1B WITH
LEVEL1B 0.024 0.018 1.313 0.189
LEVEL2B WITH
LEVEL1B 0.110 0.071 1.540 0.124
TREND1B -0.003 0.014 -0.247 0.805
TREND2B WITH
LEVEL1B -0.021 0.029 -0.734 0.463
TREND1B -0.008 0.006 -1.395 0.163
LEVEL2B -0.038 0.037 -1.050 0.294
Intercepts
Y11 0.000 0.000 999.000 999.000
Y12 0.000 0.000 999.000 999.000
Y13 0.000 0.000 999.000 999.000
Y14 0.000 0.000 999.000 999.000
Y21 0.000 0.000 999.000 999.000
Y22 0.000 0.000 999.000 999.000
Y23 0.000 0.000 999.000 999.000
Y24 0.000 0.000 999.000 999.000
LEVEL1B 10.338 0.086 120.422 0.000
TREND1B 0.524 0.053 9.909 0.000
LEVEL2B 11.160 0.106 105.265 0.000
TREND2B -0.332 0.041 -8.092 0.000
Residual Variances
Y11 0.057 0.033 1.739 0.082
Y12 0.028 0.018 1.582 0.114
Y13 0.000 0.014 0.010 0.992
Y14 0.090 0.039 2.339 0.019
Y21 0.122 0.088 1.391 0.164
Y22 0.212 0.083 2.565 0.010
Y23 0.132 0.058 2.269 0.023
Y24 0.011 0.101 0.112 0.911
LEVEL1B 0.189 0.081 2.343 0.019
TREND1B 0.001 0.005 0.255 0.799
LEVEL2B 0.217 0.090 2.415 0.016
TREND2B 0.020 0.023 0.869 0.385
STANDARDIZED MODEL RESULTS
STDYX Standardization
Two-Tailed
Estimate S.E. Est./S.E. P-Value
Within Level
LEVEL1W BY
Y11 0.930 0.010 92.623 0.000
Y12 0.869 0.011 77.774 0.000
Y13 0.796 0.013 60.558 0.000
Y14 0.716 0.014 50.613 0.000
TREND1W BY
Y11 0.000 0.000 999.000 999.000
Y12 0.181 0.030 6.112 0.000
Y13 0.349 0.033 10.560 0.000
Y14 0.437 0.028 15.658 0.000
LEVEL2W BY
Y21 0.662 0.024 27.903 0.000
Y22 0.681 0.024 28.814 0.000
Y23 0.652 0.025 26.166 0.000
Y24 0.601 0.026 23.112 0.000
TREND2W BY
Y21 0.000 0.000 999.000 999.000
Y22 0.201 0.016 12.491 0.000
Y23 0.386 0.028 13.633 0.000
Y24 0.534 0.035 15.078 0.000
TREND1W ON
LEVEL2W 0.269 0.075 3.566 0.000
TREND2W ON
LEVEL1W -0.151 0.061 -2.462 0.014
LEVEL1W ON
X4 0.216 0.029 7.355 0.000
TREND1W ON
X4 0.171 0.040 4.252 0.000
LEVEL2W ON
X4 0.087 0.040 2.204 0.028
TREND2W ON
X4 -0.021 0.054 -0.381 0.703
LEVEL1W WITH
LEVEL2W 0.363 0.044 8.156 0.000
TREND2W WITH
TREND1W 0.183 0.111 1.648 0.099
Y21 WITH
Y22 0.230 0.045 5.057 0.000
Residual Variances
Y11 0.136 0.019 7.261 0.000
Y12 0.168 0.014 12.352 0.000
Y13 0.168 0.016 10.778 0.000
Y14 0.211 0.029 7.278 0.000
Y21 0.562 0.031 17.903 0.000
Y22 0.512 0.027 18.670 0.000
Y23 0.455 0.021 21.361 0.000
Y24 0.391 0.029 13.581 0.000
LEVEL1W 0.953 0.013 75.387 0.000
TREND1W 0.890 0.048 18.675 0.000
LEVEL2W 0.992 0.007 143.903 0.000
TREND2W 0.976 0.019 51.256 0.000
Between Level
LEVEL1B BY
Y11 0.953 0.032 29.818 0.000
Y12 0.915 0.033 27.587 0.000
Y13 0.861 0.075 11.409 0.000
Y14 0.773 0.088 8.772 0.000
TREND1B BY
Y11 0.000 0.000 999.000 999.000
Y12 0.053 0.062 0.861 0.389
Y13 0.117 0.134 0.874 0.382
Y14 0.152 0.173 0.874 0.382
LEVEL2B BY
Y21 0.800 0.144 5.552 0.000
Y22 0.764 0.135 5.638 0.000
Y23 0.885 0.214 4.143 0.000
Y24 1.091 0.334 3.270 0.001
TREND2B BY
Y21 0.000 0.000 999.000 999.000
Y22 0.236 0.133 1.778 0.075
Y23 0.546 0.307 1.780 0.075
Y24 1.011 0.606 1.668 0.095
LEVEL1B ON
X4 0.816 0.081 10.120 0.000
TREND1B ON
X4 0.593 0.976 0.607 0.544
LEVEL2B ON
X4 -0.021 0.211 -0.098 0.922
TREND2B ON
X4 0.220 0.381 0.578 0.563
TREND1B WITH
LEVEL1B 1.569 3.710 0.423 0.672
LEVEL2B WITH
LEVEL1B 0.542 0.268 2.020 0.043
TREND1B -0.212 0.972 -0.218 0.827
TREND2B WITH
LEVEL1B -0.352 0.448 -0.785 0.432
TREND1B -1.650 3.611 -0.457 0.648
LEVEL2B -0.588 0.262 -2.241 0.025
Intercepts
Y11 0.000 0.000 999.000 999.000
Y12 0.000 0.000 999.000 999.000
Y13 0.000 0.000 999.000 999.000
Y14 0.000 0.000 999.000 999.000
Y21 0.000 0.000 999.000 999.000
Y22 0.000 0.000 999.000 999.000
Y23 0.000 0.000 999.000 999.000
Y24 0.000 0.000 999.000 999.000
LEVEL1B 13.763 1.604 8.581 0.000
TREND1B 11.998 13.927 0.862 0.389
LEVEL2B 23.948 5.041 4.750 0.000
TREND2B -2.309 1.286 -1.795 0.073
Residual Variances
Y11 0.091 0.061 1.494 0.135
Y12 0.042 0.024 1.783 0.075
Y13 0.000 0.019 0.010 0.992
Y14 0.096 0.039 2.426 0.015
Y21 0.361 0.230 1.565 0.118
Y22 0.569 0.121 4.723 0.000
Y23 0.477 0.143 3.329 0.001
Y24 0.062 0.544 0.114 0.909
LEVEL1B 0.335 0.131 2.547 0.011
TREND1B 0.649 1.156 0.561 0.575
LEVEL2B 1.000 0.009 114.700 0.000
TREND2B 0.952 0.168 5.675 0.000
STDY Standardization
Two-Tailed
Estimate S.E. Est./S.E. P-Value
Within Level
LEVEL1W BY
Y11 0.930 0.010 92.623 0.000
Y12 0.869 0.011 77.774 0.000
Y13 0.796 0.013 60.558 0.000
Y14 0.716 0.014 50.613 0.000
TREND1W BY
Y11 0.000 0.000 999.000 999.000
Y12 0.181 0.030 6.112 0.000
Y13 0.349 0.033 10.560 0.000
Y14 0.437 0.028 15.658 0.000
LEVEL2W BY
Y21 0.662 0.024 27.903 0.000
Y22 0.681 0.024 28.814 0.000
Y23 0.652 0.025 26.166 0.000
Y24 0.601 0.026 23.112 0.000
TREND2W BY
Y21 0.000 0.000 999.000 999.000
Y22 0.201 0.016 12.491 0.000
Y23 0.386 0.028 13.633 0.000
Y24 0.534 0.035 15.078 0.000
TREND1W ON
LEVEL2W 0.269 0.075 3.566 0.000
TREND2W ON
LEVEL1W -0.151 0.061 -2.462 0.014
LEVEL1W ON
X4 0.321 0.043 7.416 0.000
TREND1W ON
X4 0.255 0.060 4.264 0.000
LEVEL2W ON
X4 0.130 0.059 2.206 0.027
TREND2W ON
X4 -0.031 0.080 -0.381 0.703
LEVEL1W WITH
LEVEL2W 0.363 0.044 8.156 0.000
TREND2W WITH
TREND1W 0.183 0.111 1.648 0.099
Y21 WITH
Y22 0.230 0.045 5.057 0.000
Residual Variances
Y11 0.136 0.019 7.261 0.000
Y12 0.168 0.014 12.352 0.000
Y13 0.168 0.016 10.778 0.000
Y14 0.211 0.029 7.278 0.000
Y21 0.562 0.031 17.903 0.000
Y22 0.512 0.027 18.670 0.000
Y23 0.455 0.021 21.361 0.000
Y24 0.391 0.029 13.581 0.000
LEVEL1W 0.953 0.013 75.387 0.000
TREND1W 0.890 0.048 18.675 0.000
LEVEL2W 0.992 0.007 143.903 0.000
TREND2W 0.976 0.019 51.256 0.000
Between Level
LEVEL1B BY
Y11 0.953 0.032 29.818 0.000
Y12 0.915 0.033 27.587 0.000
Y13 0.861 0.075 11.409 0.000
Y14 0.773 0.088 8.772 0.000
TREND1B BY
Y11 0.000 0.000 999.000 999.000
Y12 0.053 0.062 0.861 0.389
Y13 0.117 0.134 0.874 0.382
Y14 0.152 0.173 0.874 0.382
LEVEL2B BY
Y21 0.800 0.144 5.552 0.000
Y22 0.764 0.135 5.638 0.000
Y23 0.885 0.214 4.143 0.000
Y24 1.091 0.334 3.270 0.001
TREND2B BY
Y21 0.000 0.000 999.000 999.000
Y22 0.236 0.133 1.778 0.075
Y23 0.546 0.307 1.780 0.075
Y24 1.011 0.606 1.668 0.095
LEVEL1B ON
X4 2.750 0.273 10.063 0.000
TREND1B ON
X4 1.998 3.290 0.607 0.544
LEVEL2B ON
X4 -0.070 0.711 -0.098 0.922
TREND2B ON
X4 0.742 1.284 0.578 0.563
TREND1B WITH
LEVEL1B 1.569 3.710 0.423 0.672
LEVEL2B WITH
LEVEL1B 0.542 0.268 2.020 0.043
TREND1B -0.212 0.972 -0.218 0.827
TREND2B WITH
LEVEL1B -0.352 0.448 -0.785 0.432
TREND1B -1.650 3.611 -0.457 0.648
LEVEL2B -0.588 0.262 -2.241 0.025
Intercepts
Y11 0.000 0.000 999.000 999.000
Y12 0.000 0.000 999.000 999.000
Y13 0.000 0.000 999.000 999.000
Y14 0.000 0.000 999.000 999.000
Y21 0.000 0.000 999.000 999.000
Y22 0.000 0.000 999.000 999.000
Y23 0.000 0.000 999.000 999.000
Y24 0.000 0.000 999.000 999.000
LEVEL1B 13.763 1.604 8.581 0.000
TREND1B 11.998 13.927 0.862 0.389
LEVEL2B 23.948 5.041 4.750 0.000
TREND2B -2.309 1.286 -1.795 0.073
Residual Variances
Y11 0.091 0.061 1.494 0.135
Y12 0.042 0.024 1.783 0.075
Y13 0.000 0.019 0.010 0.992
Y14 0.096 0.039 2.426 0.015
Y21 0.361 0.230 1.565 0.118
Y22 0.569 0.121 4.723 0.000
Y23 0.477 0.143 3.329 0.001
Y24 0.062 0.544 0.114 0.909
LEVEL1B 0.335 0.131 2.547 0.011
TREND1B 0.649 1.156 0.561 0.575
LEVEL2B 1.000 0.009 114.700 0.000
TREND2B 0.952 0.168 5.675 0.000
STD Standardization
Two-Tailed
Estimate S.E. Est./S.E. P-Value
Within Level
LEVEL1W BY
Y11 1.569 0.039 40.414 0.000
Y12 1.569 0.039 40.414 0.000
Y13 1.569 0.039 40.414 0.000
Y14 1.569 0.039 40.414 0.000
TREND1W BY
Y11 0.000 0.000 999.000 999.000
Y12 0.327 0.056 5.847 0.000
Y13 0.689 0.072 9.565 0.000
Y14 0.958 0.072 13.221 0.000
LEVEL2W BY
Y21 1.754 0.079 22.270 0.000
Y22 1.754 0.079 22.270 0.000
Y23 1.754 0.079 22.270 0.000
Y24 1.754 0.079 22.270 0.000
TREND2W BY
Y21 0.000 0.000 999.000 999.000
Y22 0.519 0.038 13.663 0.000
Y23 1.038 0.076 13.663 0.000
Y24 1.556 0.114 13.663 0.000
TREND1W ON
LEVEL2W 0.269 0.075 3.566 0.000
TREND2W ON
LEVEL1W -0.151 0.061 -2.462 0.014
LEVEL1W ON
X4 0.321 0.043 7.416 0.000
TREND1W ON
X4 0.255 0.060 4.264 0.000
LEVEL2W ON
X4 0.130 0.059 2.206 0.027
TREND2W ON
X4 -0.031 0.080 -0.381 0.703
LEVEL1W WITH
LEVEL2W 0.363 0.044 8.156 0.000
TREND2W WITH
TREND1W 0.183 0.111 1.648 0.099
Y21 WITH
Y22 0.841 0.189 4.447 0.000
Residual Variances
Y11 0.386 0.057 6.770 0.000
Y12 0.547 0.049 11.190 0.000
Y13 0.653 0.062 10.610 0.000
Y14 1.012 0.138 7.334 0.000
Y21 3.946 0.238 16.572 0.000
Y22 3.400 0.217 15.642 0.000
Y23 3.289 0.193 17.023 0.000
Y24 3.323 0.290 11.461 0.000
LEVEL1W 0.953 0.013 75.387 0.000
TREND1W 0.890 0.048 18.675 0.000
LEVEL2W 0.992 0.007 143.903 0.000
TREND2W 0.976 0.019 51.256 0.000
Between Level
LEVEL1B BY
Y11 0.751 0.087 8.643 0.000
Y12 0.751 0.087 8.643 0.000
Y13 0.751 0.087 8.643 0.000
Y14 0.751 0.087 8.643 0.000
TREND1B BY
Y11 0.000 0.000 999.000 999.000
Y12 0.044 0.052 0.835 0.404
Y13 0.102 0.119 0.856 0.392
Y14 0.147 0.172 0.856 0.392
LEVEL2B BY
Y21 0.466 0.097 4.797 0.000
Y22 0.466 0.097 4.797 0.000
Y23 0.466 0.097 4.797 0.000
Y24 0.466 0.097 4.797 0.000
TREND2B BY
Y21 0.000 0.000 999.000 999.000
Y22 0.144 0.079 1.822 0.068
Y23 0.288 0.158 1.822 0.068
Y24 0.432 0.237 1.822 0.068
LEVEL1B ON
X4 2.750 0.273 10.063 0.000
TREND1B ON
X4 1.998 3.290 0.607 0.544
LEVEL2B ON
X4 -0.070 0.711 -0.098 0.922
TREND2B ON
X4 0.742 1.284 0.578 0.563
TREND1B WITH
LEVEL1B 1.569 3.710 0.423 0.672
LEVEL2B WITH
LEVEL1B 0.542 0.268 2.020 0.043
TREND1B -0.212 0.972 -0.218 0.827
TREND2B WITH
LEVEL1B -0.352 0.448 -0.785 0.432
TREND1B -1.650 3.611 -0.457 0.648
LEVEL2B -0.588 0.262 -2.241 0.025
Intercepts
Y11 0.000 0.000 999.000 999.000
Y12 0.000 0.000 999.000 999.000
Y13 0.000 0.000 999.000 999.000
Y14 0.000 0.000 999.000 999.000
Y21 0.000 0.000 999.000 999.000
Y22 0.000 0.000 999.000 999.000
Y23 0.000 0.000 999.000 999.000
Y24 0.000 0.000 999.000 999.000
LEVEL1B 13.763 1.604 8.581 0.000
TREND1B 11.998 13.927 0.862 0.389
LEVEL2B 23.948 5.041 4.750 0.000
TREND2B -2.309 1.286 -1.795 0.073
Residual Variances
Y11 0.057 0.033 1.739 0.082
Y12 0.028 0.018 1.582 0.114
Y13 0.000 0.014 0.010 0.992
Y14 0.090 0.039 2.339 0.019
Y21 0.122 0.088 1.391 0.164
Y22 0.212 0.083 2.565 0.010
Y23 0.132 0.058 2.269 0.023
Y24 0.011 0.101 0.112 0.911
LEVEL1B 0.335 0.131 2.547 0.011
TREND1B 0.649 1.156 0.561 0.575
LEVEL2B 1.000 0.009 114.700 0.000
TREND2B 0.952 0.168 5.675 0.000
R-SQUARE
Within Level
Observed Two-Tailed
Variable Estimate S.E. Est./S.E. P-Value
Y11 0.864 0.019 46.312 0.000
Y12 0.832 0.014 61.134 0.000
Y13 0.832 0.016 53.333 0.000
Y14 0.789 0.029 27.266 0.000
Y21 0.438 0.031 13.951 0.000
Y22 0.488 0.027 17.788 0.000
Y23 0.545 0.021 25.597 0.000
Y24 0.609 0.029 21.178 0.000
Latent Two-Tailed
Variable Estimate S.E. Est./S.E. P-Value
LEVEL1W 0.047 0.013 3.677 0.000
TREND1W 0.110 0.048 2.301 0.021
LEVEL2W 0.008 0.007 1.102 0.271
TREND2W 0.024 0.019 1.286 0.199
Between Level
Observed Two-Tailed
Variable Estimate S.E. Est./S.E. P-Value
Y11 0.909 0.061 14.909 0.000
Y12 0.958 0.024 40.588 0.000
Y13 1.000 0.019 53.750 0.000
Y14 0.904 0.039 22.944 0.000
Y21 0.639 0.230 2.776 0.006
Y22 0.431 0.121 3.573 0.000
Y23 0.523 0.143 3.648 0.000
Y24 0.938 0.544 1.725 0.084
Latent Two-Tailed
Variable Estimate S.E. Est./S.E. P-Value
LEVEL1B 0.665 0.131 5.060 0.000
TREND1B 0.351 1.156 0.304 0.761
LEVEL2B 0.000 0.009 0.049 0.961
TREND2B 0.048 0.168 0.289 0.773
QUALITY OF NUMERICAL RESULTS
Condition Number for the Information Matrix 0.107E-05
(ratio of smallest to largest eigenvalue)
TECHNICAL 1 OUTPUT
PARAMETER SPECIFICATION FOR WITHIN
NU
Y11 Y12 Y13 Y14 Y21
________ ________ ________ ________ ________
1 0 0 0 0 0
NU
Y22 Y23 Y24 X4
________ ________ ________ ________
1 0 0 0 0
LAMBDA
LEVEL1W TREND1W LEVEL2W TREND2W LEVEL1B
________ ________ ________ ________ ________
Y11 0 0 0 0 0
Y12 0 0 0 0 0
Y13 0 1 0 0 0
Y14 0 2 0 0 0
Y21 0 0 0 0 0
Y22 0 0 0 0 0
Y23 0 0 0 0 0
Y24 0 0 0 0 0
X4 0 0 0 0 0
LAMBDA
TREND1B LEVEL2B TREND2B X4
________ ________ ________ ________
Y11 0 0 0 0
Y12 0 0 0 0
Y13 0 0 0 0
Y14 0 0 0 0
Y21 0 0 0 0
Y22 0 0 0 0
Y23 0 0 0 0
Y24 0 0 0 0
X4 0 0 0 0
THETA
Y11 Y12 Y13 Y14 Y21
________ ________ ________ ________ ________
Y11 3
Y12 0 4
Y13 0 0 5
Y14 0 0 0 6
Y21 0 0 0 0 7
Y22 0 0 0 0 8
Y23 0 0 0 0 0
Y24 0 0 0 0 0
X4 0 0 0 0 0
THETA
Y22 Y23 Y24 X4
________ ________ ________ ________
Y22 9
Y23 0 10
Y24 0 0 11
X4 0 0 0 0
ALPHA
LEVEL1W TREND1W LEVEL2W TREND2W LEVEL1B
________ ________ ________ ________ ________
1 0 0 0 0 0
ALPHA
TREND1B LEVEL2B TREND2B X4
________ ________ ________ ________
1 0 0 0 0
BETA
LEVEL1W TREND1W LEVEL2W TREND2W LEVEL1B
________ ________ ________ ________ ________
LEVEL1W 0 0 0 0 0
TREND1W 0 0 13 0 0
LEVEL2W 0 0 0 0 0
TREND2W 16 0 0 0 0
LEVEL1B 0 0 0 0 0
TREND1B 0 0 0 0 0
LEVEL2B 0 0 0 0 0
TREND2B 0 0 0 0 0
X4 0 0 0 0 0
BETA
TREND1B LEVEL2B TREND2B X4
________ ________ ________ ________
LEVEL1W 0 0 0 12
TREND1W 0 0 0 14
LEVEL2W 0 0 0 15
TREND2W 0 0 0 17
LEVEL1B 0 0 0 0
TREND1B 0 0 0 0
LEVEL2B 0 0 0 0
TREND2B 0 0 0 0
X4 0 0 0 0
PSI
LEVEL1W TREND1W LEVEL2W TREND2W LEVEL1B
________ ________ ________ ________ ________
LEVEL1W 18
TREND1W 0 19
LEVEL2W 20 0 21
TREND2W 0 22 0 23
LEVEL1B 0 0 0 0 0
TREND1B 0 0 0 0 0
LEVEL2B 0 0 0 0 0
TREND2B 0 0 0 0 0
X4 0 0 0 0 0
PSI
TREND1B LEVEL2B TREND2B X4
________ ________ ________ ________
TREND1B 0
LEVEL2B 0 0
TREND2B 0 0 0
X4 0 0 0 0
PARAMETER SPECIFICATION FOR BETWEEN
NU
Y11 Y12 Y13 Y14 Y21
________ ________ ________ ________ ________
1 0 0 0 0 0
NU
Y22 Y23 Y24 X4
________ ________ ________ ________
1 0 0 0 0
LAMBDA
LEVEL1W TREND1W LEVEL2W TREND2W LEVEL1B
________ ________ ________ ________ ________
Y11 0 0 0 0 0
Y12 0 0 0 0 0
Y13 0 0 0 0 0
Y14 0 0 0 0 0
Y21 0 0 0 0 0
Y22 0 0 0 0 0
Y23 0 0 0 0 0
Y24 0 0 0 0 0
X4 0 0 0 0 0
LAMBDA
TREND1B LEVEL2B TREND2B X4
________ ________ ________ ________
Y11 0 0 0 0
Y12 0 0 0 0
Y13 24 0 0 0
Y14 25 0 0 0
Y21 0 0 0 0
Y22 0 0 0 0
Y23 0 0 0 0
Y24 0 0 0 0
X4 0 0 0 0
THETA
Y11 Y12 Y13 Y14 Y21
________ ________ ________ ________ ________
Y11 26
Y12 0 27
Y13 0 0 28
Y14 0 0 0 29
Y21 0 0 0 0 30
Y22 0 0 0 0 0
Y23 0 0 0 0 0
Y24 0 0 0 0 0
X4 0 0 0 0 0
THETA
Y22 Y23 Y24 X4
________ ________ ________ ________
Y22 31
Y23 0 32
Y24 0 0 33
X4 0 0 0 0
ALPHA
LEVEL1W TREND1W LEVEL2W TREND2W LEVEL1B
________ ________ ________ ________ ________
1 0 0 0 0 34
ALPHA
TREND1B LEVEL2B TREND2B X4
________ ________ ________ ________
1 35 36 37 0
BETA
LEVEL1W TREND1W LEVEL2W TREND2W LEVEL1B
________ ________ ________ ________ ________
LEVEL1W 0 0 0 0 0
TREND1W 0 0 0 0 0
LEVEL2W 0 0 0 0 0
TREND2W 0 0 0 0 0
LEVEL1B 0 0 0 0 0
TREND1B 0 0 0 0 0
LEVEL2B 0 0 0 0 0
TREND2B 0 0 0 0 0
X4 0 0 0 0 0
BETA
TREND1B LEVEL2B TREND2B X4
________ ________ ________ ________
LEVEL1W 0 0 0 0
TREND1W 0 0 0 0
LEVEL2W 0 0 0 0
TREND2W 0 0 0 0
LEVEL1B 0 0 0 38
TREND1B 0 0 0 39
LEVEL2B 0 0 0 40
TREND2B 0 0 0 41
X4 0 0 0 0
PSI
LEVEL1W TREND1W LEVEL2W TREND2W LEVEL1B
________ ________ ________ ________ ________
LEVEL1W 0
TREND1W 0 0
LEVEL2W 0 0 0
TREND2W 0 0 0 0
LEVEL1B 0 0 0 0 42
TREND1B 0 0 0 0 43
LEVEL2B 0 0 0 0 45
TREND2B 0 0 0 0 48
X4 0 0 0 0 0
PSI
TREND1B LEVEL2B TREND2B X4
________ ________ ________ ________
TREND1B 44
LEVEL2B 46 47
TREND2B 49 50 51
X4 0 0 0 0
STARTING VALUES FOR WITHIN
NU
Y11 Y12 Y13 Y14 Y21
________ ________ ________ ________ ________
1 0.000 0.000 0.000 0.000 0.000
NU
Y22 Y23 Y24 X4
________ ________ ________ ________
1 0.000 0.000 0.000 0.000
LAMBDA
LEVEL1W TREND1W LEVEL2W TREND2W LEVEL1B
________ ________ ________ ________ ________
Y11 1.000 0.000 0.000 0.000 0.000
Y12 1.000 1.000 0.000 0.000 0.000
Y13 1.000 2.500 0.000 0.000 0.000
Y14 1.000 3.500 0.000 0.000 0.000
Y21 0.000 0.000 1.000 0.000 0.000
Y22 0.000 0.000 1.000 1.000 0.000
Y23 0.000 0.000 1.000 2.000 0.000
Y24 0.000 0.000 1.000 3.000 0.000
X4 0.000 0.000 0.000 0.000 0.000
LAMBDA
TREND1B LEVEL2B TREND2B X4
________ ________ ________ ________
Y11 0.000 0.000 0.000 0.000
Y12 0.000 0.000 0.000 0.000
Y13 0.000 0.000 0.000 0.000
Y14 0.000 0.000 0.000 0.000
Y21 0.000 0.000 0.000 0.000
Y22 0.000 0.000 0.000 0.000
Y23 0.000 0.000 0.000 0.000
Y24 0.000 0.000 0.000 0.000
X4 0.000 0.000 0.000 1.000
THETA
Y11 Y12 Y13 Y14 Y21
________ ________ ________ ________ ________
Y11 1.781
Y12 0.000 1.817
Y13 0.000 0.000 2.225
Y14 0.000 0.000 0.000 2.774
Y21 0.000 0.000 0.000 0.000 3.642
Y22 0.000 0.000 0.000 0.000 0.000
Y23 0.000 0.000 0.000 0.000 0.000
Y24 0.000 0.000 0.000 0.000 0.000
X4 0.000 0.000 0.000 0.000 0.000
THETA
Y22 Y23 Y24 X4
________ ________ ________ ________
Y22 3.518
Y23 0.000 3.823
Y24 0.000 0.000 4.221
X4 0.000 0.000 0.000 0.000
ALPHA
LEVEL1W TREND1W LEVEL2W TREND2W LEVEL1B
________ ________ ________ ________ ________
1 0.000 0.000 0.000 0.000 0.000
ALPHA
TREND1B LEVEL2B TREND2B X4
________ ________ ________ ________
1 0.000 0.000 0.000 0.000
BETA
LEVEL1W TREND1W LEVEL2W TREND2W LEVEL1B
________ ________ ________ ________ ________
LEVEL1W 0.000 0.000 0.000 0.000 0.000
TREND1W 0.000 0.000 0.000 0.000 0.000
LEVEL2W 0.000 0.000 0.000 0.000 0.000
TREND2W 0.000 0.000 0.000 0.000 0.000
LEVEL1B 0.000 0.000 0.000 0.000 0.000
TREND1B 0.000 0.000 0.000 0.000 0.000
LEVEL2B 0.000 0.000 0.000 0.000 0.000
TREND2B 0.000 0.000 0.000 0.000 0.000
X4 0.000 0.000 0.000 0.000 0.000
BETA
TREND1B LEVEL2B TREND2B X4
________ ________ ________ ________
LEVEL1W 0.000 0.000 0.000 0.000
TREND1W 0.000 0.000 0.000 0.000
LEVEL2W 0.000 0.000 0.000 0.000
TREND2W 0.000 0.000 0.000 0.000
LEVEL1B 0.000 0.000 0.000 0.000
TREND1B 0.000 0.000 0.000 0.000
LEVEL2B 0.000 0.000 0.000 0.000
TREND2B 0.000 0.000 0.000 0.000
X4 0.000 0.000 0.000 0.000
PSI
LEVEL1W TREND1W LEVEL2W TREND2W LEVEL1B
________ ________ ________ ________ ________
LEVEL1W 0.050
TREND1W 0.000 0.050
LEVEL2W 0.000 0.000 0.050
TREND2W 0.000 0.000 0.000 0.050
LEVEL1B 0.000 0.000 0.000 0.000 0.000
TREND1B 0.000 0.000 0.000 0.000 0.000
LEVEL2B 0.000 0.000 0.000 0.000 0.000
TREND2B 0.000 0.000 0.000 0.000 0.000
X4 0.000 0.000 0.000 0.000 0.000
PSI
TREND1B LEVEL2B TREND2B X4
________ ________ ________ ________
TREND1B 0.000
LEVEL2B 0.000 0.000
TREND2B 0.000 0.000 0.000
X4 0.000 0.000 0.000 0.270
STARTING VALUES FOR BETWEEN
NU
Y11 Y12 Y13 Y14 Y21
________ ________ ________ ________ ________
1 0.000 0.000 0.000 0.000 0.000
NU
Y22 Y23 Y24 X4
________ ________ ________ ________
1 0.000 0.000 0.000 0.000
LAMBDA
LEVEL1W TREND1W LEVEL2W TREND2W LEVEL1B
________ ________ ________ ________ ________
Y11 0.000 0.000 0.000 0.000 1.000
Y12 0.000 0.000 0.000 0.000 1.000
Y13 0.000 0.000 0.000 0.000 1.000
Y14 0.000 0.000 0.000 0.000 1.000
Y21 0.000 0.000 0.000 0.000 0.000
Y22 0.000 0.000 0.000 0.000 0.000
Y23 0.000 0.000 0.000 0.000 0.000
Y24 0.000 0.000 0.000 0.000 0.000
X4 0.000 0.000 0.000 0.000 0.000
LAMBDA
TREND1B LEVEL2B TREND2B X4
________ ________ ________ ________
Y11 0.000 0.000 0.000 0.000
Y12 1.000 0.000 0.000 0.000
Y13 2.500 0.000 0.000 0.000
Y14 3.500 0.000 0.000 0.000
Y21 0.000 1.000 0.000 0.000
Y22 0.000 1.000 1.000 0.000
Y23 0.000 1.000 2.000 0.000
Y24 0.000 1.000 3.000 0.000
X4 0.000 0.000 0.000 1.000
THETA
Y11 Y12 Y13 Y14 Y21
________ ________ ________ ________ ________
Y11 1.781
Y12 0.000 1.817
Y13 0.000 0.000 2.225
Y14 0.000 0.000 0.000 2.774
Y21 0.000 0.000 0.000 0.000 3.642
Y22 0.000 0.000 0.000 0.000 0.000
Y23 0.000 0.000 0.000 0.000 0.000
Y24 0.000 0.000 0.000 0.000 0.000
X4 0.000 0.000 0.000 0.000 0.000
THETA
Y22 Y23 Y24 X4
________ ________ ________ ________
Y22 3.518
Y23 0.000 3.823
Y24 0.000 0.000 4.221
X4 0.000 0.000 0.000 0.000
ALPHA
LEVEL1W TREND1W LEVEL2W TREND2W LEVEL1B
________ ________ ________ ________ ________
1 0.000 0.000 0.000 0.000 0.000
ALPHA
TREND1B LEVEL2B TREND2B X4
________ ________ ________ ________
1 0.000 0.000 0.000 0.000
BETA
LEVEL1W TREND1W LEVEL2W TREND2W LEVEL1B
________ ________ ________ ________ ________
LEVEL1W 0.000 0.000 0.000 0.000 0.000
TREND1W 0.000 0.000 0.000 0.000 0.000
LEVEL2W 0.000 0.000 0.000 0.000 0.000
TREND2W 0.000 0.000 0.000 0.000 0.000
LEVEL1B 0.000 0.000 0.000 0.000 0.000
TREND1B 0.000 0.000 0.000 0.000 0.000
LEVEL2B 0.000 0.000 0.000 0.000 0.000
TREND2B 0.000 0.000 0.000 0.000 0.000
X4 0.000 0.000 0.000 0.000 0.000
BETA
TREND1B LEVEL2B TREND2B X4
________ ________ ________ ________
LEVEL1W 0.000 0.000 0.000 0.000
TREND1W 0.000 0.000 0.000 0.000
LEVEL2W 0.000 0.000 0.000 0.000
TREND2W 0.000 0.000 0.000 0.000
LEVEL1B 0.000 0.000 0.000 0.000
TREND1B 0.000 0.000 0.000 0.000
LEVEL2B 0.000 0.000 0.000 0.000
TREND2B 0.000 0.000 0.000 0.000
X4 0.000 0.000 0.000 0.000
PSI
LEVEL1W TREND1W LEVEL2W TREND2W LEVEL1B
________ ________ ________ ________ ________
LEVEL1W 0.000
TREND1W 0.000 0.000
LEVEL2W 0.000 0.000 0.000
TREND2W 0.000 0.000 0.000 0.000
LEVEL1B 0.000 0.000 0.000 0.000 0.050
TREND1B 0.000 0.000 0.000 0.000 0.000
LEVEL2B 0.000 0.000 0.000 0.000 0.000
TREND2B 0.000 0.000 0.000 0.000 0.000
X4 0.000 0.000 0.000 0.000 0.000
PSI
TREND1B LEVEL2B TREND2B X4
________ ________ ________ ________
TREND1B 0.050
LEVEL2B 0.000 0.050
TREND2B 0.000 0.000 0.050
X4 0.000 0.000 0.000 0.270
Beginning Time: 22:57:58
Ending Time: 22:58:06
Elapsed Time: 00:00:08
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