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MCFA_res.out
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Mplus VERSION 7.1 (Mac)
MUTHEN & MUTHEN
03/07/2016 10:48 AM
INPUT INSTRUCTIONS
TITLE:
MCFA_res
DATA:
FILE = "MCFA_res.dat";
VARIABLE:
NAMES = tp_01_np tp_02_np tp_03_np tp_04_np tp_05_np tp_06_np tp IDnum te ab cl;
MISSING=.;
USEVARIABLES = tp_01_np tp_02_np tp_03_np tp_04_np
tp_05_np tp_06_np;
CLUSTER = IDnum;
ANALYSIS:
TYPE = TWOLEVEL;
MODEL:
%WITHIN%
TPW BY tp_01_np(01)
tp_02_np(02)
tp_03_np(03)
tp_04_np(04)
tp_05_np(05)
tp_06_np(06);
%BETWEEN%
TPB BY tp_01_np(01)
tp_02_np(02)
tp_03_np(03)
tp_04_np(04)
tp_05_np(05)
tp_06_np(06);
OUTPUT:
Standardized Modindices(5);
*** 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: 63
1 WARNING(S) FOUND IN THE INPUT INSTRUCTIONS
MCFA_res
SUMMARY OF ANALYSIS
Number of groups 1
Number of observations 1875
Number of dependent variables 6
Number of independent variables 0
Number of continuous latent variables 2
Observed dependent variables
Continuous
TP_01_NP TP_02_NP TP_03_NP TP_04_NP TP_05_NP TP_06_NP
Continuous latent variables
TPW TPB
Variables with special functions
Cluster variable IDNUM
Estimator MLR
Information matrix OBSERVED
Maximum number of iterations 100
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)
MCFA_res.dat
Input data format FREE
SUMMARY OF DATA
Number of missing data patterns 26
Number of clusters 322
Average cluster size 5.823
Estimated Intraclass Correlations for the Y Variables
Intraclass Intraclass Intraclass
Variable Correlation Variable Correlation Variable Correlation
TP_01_NP 0.187 TP_02_NP 0.211 TP_03_NP 0.215
TP_04_NP 0.280 TP_05_NP 0.196 TP_06_NP 0.241
COVARIANCE COVERAGE OF DATA
Minimum covariance coverage value 0.100
PROPORTION OF DATA PRESENT
Covariance Coverage
TP_01_NP TP_02_NP TP_03_NP TP_04_NP TP_05_NP
________ ________ ________ ________ ________
TP_01_NP 0.993
TP_02_NP 0.987 0.993
TP_03_NP 0.983 0.985 0.989
TP_04_NP 0.984 0.984 0.982 0.989
TP_05_NP 0.982 0.983 0.981 0.982 0.989
TP_06_NP 0.979 0.980 0.979 0.977 0.977
Covariance Coverage
TP_06_NP
________
TP_06_NP 0.985
THE MODEL ESTIMATION TERMINATED NORMALLY
MODEL FIT INFORMATION
Number of Free Parameters 25
Loglikelihood
H0 Value -12579.749
H0 Scaling Correction Factor 1.3377
for MLR
H1 Value -12531.986
H1 Scaling Correction Factor 1.3163
for MLR
Information Criteria
Akaike (AIC) 25209.497
Bayesian (BIC) 25347.906
Sample-Size Adjusted BIC 25268.482
(n* = (n + 2) / 24)
Chi-Square Test of Model Fit
Value 73.871*
Degrees of Freedom 23
P-Value 0.0000
Scaling Correction Factor 1.2931
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.
RMSEA (Root Mean Square Error Of Approximation)
Estimate 0.034
CFI/TLI
CFI 0.982
TLI 0.976
Chi-Square Test of Model Fit for the Baseline Model
Value 2848.369
Degrees of Freedom 30
P-Value 0.0000
SRMR (Standardized Root Mean Square Residual)
Value for Within 0.025
Value for Between 0.101
MODEL RESULTS
Two-Tailed
Estimate S.E. Est./S.E. P-Value
Within Level
TPW BY
TP_01_NP 1.000 0.000 999.000 999.000
TP_02_NP 0.208 0.051 4.104 0.000
TP_03_NP 0.924 0.024 38.829 0.000
TP_04_NP 0.684 0.031 21.893 0.000
TP_05_NP 0.958 0.025 38.195 0.000
TP_06_NP 0.757 0.029 26.000 0.000
Variances
TPW 0.447 0.026 17.189 0.000
Residual Variances
TP_01_NP 0.277 0.018 15.675 0.000
TP_02_NP 0.750 0.033 22.843 0.000
TP_03_NP 0.221 0.013 16.807 0.000
TP_04_NP 0.480 0.024 19.919 0.000
TP_05_NP 0.265 0.018 14.851 0.000
TP_06_NP 0.355 0.019 19.007 0.000
Between Level
TPB BY
TP_01_NP 1.000 0.000 999.000 999.000
TP_02_NP 0.208 0.051 4.104 0.000
TP_03_NP 0.924 0.024 38.829 0.000
TP_04_NP 0.684 0.031 21.893 0.000
TP_05_NP 0.958 0.025 38.195 0.000
TP_06_NP 0.757 0.029 26.000 0.000
Intercepts
TP_01_NP 2.936 0.031 95.633 0.000
TP_02_NP 2.740 0.032 84.402 0.000
TP_03_NP 2.975 0.029 101.864 0.000
TP_04_NP 2.268 0.035 65.468 0.000
TP_05_NP 2.746 0.030 91.739 0.000
TP_06_NP 2.890 0.030 96.914 0.000
Variances
TPB 0.174 0.025 6.976 0.000
Residual Variances
TP_01_NP 0.027 0.008 3.266 0.001
TP_02_NP 0.181 0.028 6.525 0.000
TP_03_NP 0.022 0.009 2.358 0.018
TP_04_NP 0.160 0.023 6.843 0.000
TP_05_NP 0.022 0.008 2.752 0.006
TP_06_NP 0.034 0.010 3.344 0.001
STANDARDIZED MODEL RESULTS
STDYX Standardization
Two-Tailed
Estimate S.E. Est./S.E. P-Value
Within Level
TPW BY
TP_01_NP 0.786 0.014 54.504 0.000
TP_02_NP 0.158 0.038 4.136 0.000
TP_03_NP 0.796 0.014 57.493 0.000
TP_04_NP 0.551 0.020 27.161 0.000
TP_05_NP 0.780 0.016 50.006 0.000
TP_06_NP 0.647 0.020 33.162 0.000
Variances
TPW 1.000 0.000 999.000 999.000
Residual Variances
TP_01_NP 0.383 0.023 16.883 0.000
TP_02_NP 0.975 0.012 80.269 0.000
TP_03_NP 0.366 0.022 16.596 0.000
TP_04_NP 0.697 0.022 31.177 0.000
TP_05_NP 0.392 0.024 16.097 0.000
TP_06_NP 0.581 0.025 22.998 0.000
Between Level
TPB BY
TP_01_NP 0.929 0.022 42.436 0.000
TP_02_NP 0.200 0.052 3.814 0.000
TP_03_NP 0.933 0.027 34.074 0.000
TP_04_NP 0.580 0.045 12.783 0.000
TP_05_NP 0.937 0.022 42.117 0.000
TP_06_NP 0.862 0.041 21.248 0.000
Intercepts
TP_01_NP 6.548 0.437 14.980 0.000
TP_02_NP 6.317 0.460 13.745 0.000
TP_03_NP 7.207 0.531 13.568 0.000
TP_04_NP 4.617 0.260 17.764 0.000
TP_05_NP 6.440 0.454 14.195 0.000
TP_06_NP 7.901 0.557 14.195 0.000
Variances
TPB 1.000 0.000 999.000 999.000
Residual Variances
TP_01_NP 0.136 0.041 3.341 0.001
TP_02_NP 0.960 0.021 45.971 0.000
TP_03_NP 0.129 0.051 2.528 0.011
TP_04_NP 0.664 0.053 12.611 0.000
TP_05_NP 0.122 0.042 2.936 0.003
TP_06_NP 0.257 0.070 3.678 0.000
STDY Standardization
Two-Tailed
Estimate S.E. Est./S.E. P-Value
Within Level
TPW BY
TP_01_NP 0.786 0.014 54.504 0.000
TP_02_NP 0.158 0.038 4.136 0.000
TP_03_NP 0.796 0.014 57.493 0.000
TP_04_NP 0.551 0.020 27.161 0.000
TP_05_NP 0.780 0.016 50.006 0.000
TP_06_NP 0.647 0.020 33.162 0.000
Variances
TPW 1.000 0.000 999.000 999.000
Residual Variances
TP_01_NP 0.383 0.023 16.883 0.000
TP_02_NP 0.975 0.012 80.269 0.000
TP_03_NP 0.366 0.022 16.596 0.000
TP_04_NP 0.697 0.022 31.177 0.000
TP_05_NP 0.392 0.024 16.097 0.000
TP_06_NP 0.581 0.025 22.998 0.000
Between Level
TPB BY
TP_01_NP 0.929 0.022 42.436 0.000
TP_02_NP 0.200 0.052 3.814 0.000
TP_03_NP 0.933 0.027 34.074 0.000
TP_04_NP 0.580 0.045 12.783 0.000
TP_05_NP 0.937 0.022 42.117 0.000
TP_06_NP 0.862 0.041 21.248 0.000
Intercepts
TP_01_NP 6.548 0.437 14.980 0.000
TP_02_NP 6.317 0.460 13.745 0.000
TP_03_NP 7.207 0.531 13.568 0.000
TP_04_NP 4.617 0.260 17.764 0.000
TP_05_NP 6.440 0.454 14.195 0.000
TP_06_NP 7.901 0.557 14.195 0.000
Variances
TPB 1.000 0.000 999.000 999.000
Residual Variances
TP_01_NP 0.136 0.041 3.341 0.001
TP_02_NP 0.960 0.021 45.971 0.000
TP_03_NP 0.129 0.051 2.528 0.011
TP_04_NP 0.664 0.053 12.611 0.000
TP_05_NP 0.122 0.042 2.936 0.003
TP_06_NP 0.257 0.070 3.678 0.000
STD Standardization
Two-Tailed
Estimate S.E. Est./S.E. P-Value
Within Level
TPW BY
TP_01_NP 0.669 0.019 34.378 0.000
TP_02_NP 0.139 0.034 4.091 0.000
TP_03_NP 0.618 0.020 31.038 0.000
TP_04_NP 0.457 0.022 21.007 0.000
TP_05_NP 0.641 0.020 32.378 0.000
TP_06_NP 0.506 0.020 25.079 0.000
Variances
TPW 1.000 0.000 999.000 999.000
Residual Variances
TP_01_NP 0.277 0.018 15.675 0.000
TP_02_NP 0.750 0.033 22.843 0.000
TP_03_NP 0.221 0.013 16.807 0.000
TP_04_NP 0.480 0.024 19.919 0.000
TP_05_NP 0.265 0.018 14.851 0.000
TP_06_NP 0.355 0.019 19.007 0.000
Between Level
TPB BY
TP_01_NP 0.417 0.030 13.951 0.000
TP_02_NP 0.087 0.022 3.922 0.000
TP_03_NP 0.385 0.029 13.204 0.000
TP_04_NP 0.285 0.024 11.982 0.000
TP_05_NP 0.399 0.029 13.713 0.000
TP_06_NP 0.315 0.027 11.865 0.000
Intercepts
TP_01_NP 2.936 0.031 95.633 0.000
TP_02_NP 2.740 0.032 84.402 0.000
TP_03_NP 2.975 0.029 101.864 0.000
TP_04_NP 2.268 0.035 65.468 0.000
TP_05_NP 2.746 0.030 91.739 0.000
TP_06_NP 2.890 0.030 96.914 0.000
Variances
TPB 1.000 0.000 999.000 999.000
Residual Variances
TP_01_NP 0.027 0.008 3.266 0.001
TP_02_NP 0.181 0.028 6.525 0.000
TP_03_NP 0.022 0.009 2.358 0.018
TP_04_NP 0.160 0.023 6.843 0.000
TP_05_NP 0.022 0.008 2.752 0.006
TP_06_NP 0.034 0.010 3.344 0.001
R-SQUARE
Within Level
Observed Two-Tailed
Variable Estimate S.E. Est./S.E. P-Value
TP_01_NP 0.617 0.023 27.252 0.000
TP_02_NP 0.025 0.012 2.068 0.039
TP_03_NP 0.634 0.022 28.747 0.000
TP_04_NP 0.303 0.022 13.580 0.000
TP_05_NP 0.608 0.024 25.003 0.000
TP_06_NP 0.419 0.025 16.581 0.000
Between Level
Observed Two-Tailed
Variable Estimate S.E. Est./S.E. P-Value
TP_01_NP 0.864 0.041 21.218 0.000
TP_02_NP 0.040 0.021 1.907 0.057
TP_03_NP 0.871 0.051 17.037 0.000
TP_04_NP 0.336 0.053 6.392 0.000
TP_05_NP 0.878 0.042 21.059 0.000
TP_06_NP 0.743 0.070 10.624 0.000
QUALITY OF NUMERICAL RESULTS
Condition Number for the Information Matrix 0.366E-02
(ratio of smallest to largest eigenvalue)
MODEL MODIFICATION INDICES
NOTE: Modification indices for direct effects of observed dependent variables
regressed on covariates may not be included. To include these, request
MODINDICES (ALL).
Minimum M.I. value for printing the modification index 5.000
M.I. E.P.C. Std E.P.C. StdYX E.P.C.
Within Level
BY Statements
TPW BY TP_01_NP 5.047 0.175 0.117 0.137
TPW BY TP_02_NP 5.537 -0.046 -0.031 -0.035
TPW BY TP_06_NP 15.241 -0.068 -0.045 -0.058
WITH Statements
TP_03_NP WITH TP_01_NP 16.654 0.052 0.052 0.211
TP_05_NP WITH TP_03_NP 7.205 -0.033 -0.033 -0.137
TP_05_NP WITH TP_04_NP 17.580 0.054 0.054 0.151
TP_06_NP WITH TP_04_NP 10.951 -0.044 -0.044 -0.106
Between Level
BY Statements
TPB BY TP_01_NP 5.047 -0.175 -0.073 -0.163
TPB BY TP_02_NP 5.537 0.240 0.100 0.230
TPB BY TP_06_NP 15.241 0.235 0.098 0.268
WITH Statements
TP_05_NP WITH TP_04_NP 9.062 0.030 0.030 0.503
Beginning Time: 10:48:14
Ending Time: 10:48:15
Elapsed Time: 00:00:01
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