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MCFA_unres.out
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Mplus VERSION 7.1 (Mac)
MUTHEN & MUTHEN
03/07/2016 10:48 AM
INPUT INSTRUCTIONS
TITLE:
MCFA_unres
DATA:
FILE = "MCFA_unres.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
tp_02_np
tp_03_np
tp_04_np
tp_05_np
tp_06_np;
%BETWEEN%
TPB BY tp_01_np
tp_02_np
tp_03_np
tp_04_np
tp_05_np
tp_06_np;
OUTPUT:
Standardized;
*** 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_unres
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_unres.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 30
Loglikelihood
H0 Value -12564.329
H0 Scaling Correction Factor 1.3514
for MLR
H1 Value -12531.986
H1 Scaling Correction Factor 1.3163
for MLR
Information Criteria
Akaike (AIC) 25188.657
Bayesian (BIC) 25354.748
Sample-Size Adjusted BIC 25259.438
(n* = (n + 2) / 24)
Chi-Square Test of Model Fit
Value 51.424*
Degrees of Freedom 18
P-Value 0.0000
Scaling Correction Factor 1.2579
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 0.031
CFI/TLI
CFI 0.988
TLI 0.980
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 0.019
Value for Between 0.036
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 0.161 0.056 2.904 0.004
TP_03_NP 0.900 0.029 30.964 0.000
TP_04_NP 0.653 0.036 18.334 0.000
TP_05_NP 0.939 0.034 27.559 0.000
TP_06_NP 0.681 0.035 19.359 0.000
Variances
TPW 0.474 0.027 17.313 0.000
Residual Variances
TP_01_NP 0.270 0.018 15.319 0.000
TP_02_NP 0.750 0.033 22.905 0.000
TP_03_NP 0.220 0.013 16.682 0.000
TP_04_NP 0.481 0.024 19.981 0.000
TP_05_NP 0.265 0.018 14.518 0.000
TP_06_NP 0.360 0.019 19.182 0.000
Between Level
TPB BY
TP_01_NP 1.000 0.000 999.000 999.000
TP_02_NP 0.465 0.144 3.232 0.001
TP_03_NP 1.018 0.065 15.589 0.000
TP_04_NP 0.827 0.117 7.062 0.000
TP_05_NP 1.028 0.081 12.627 0.000
TP_06_NP 1.066 0.090 11.781 0.000
Intercepts
TP_01_NP 2.937 0.031 95.798 0.000
TP_02_NP 2.740 0.032 84.325 0.000
TP_03_NP 2.975 0.029 101.873 0.000
TP_04_NP 2.268 0.035 65.452 0.000
TP_05_NP 2.746 0.030 91.712 0.000
TP_06_NP 2.890 0.030 96.698 0.000
Variances
TPB 0.142 0.025 5.748 0.000
Residual Variances
TP_01_NP 0.030 0.008 3.638 0.000
TP_02_NP 0.172 0.029 5.899 0.000
TP_03_NP 0.022 0.009 2.480 0.013
TP_04_NP 0.160 0.025 6.507 0.000
TP_05_NP 0.023 0.008 2.728 0.006
TP_06_NP 0.020 0.011 1.820 0.069
STANDARDIZED MODEL RESULTS
STDYX Standardization
Two-Tailed
Estimate S.E. Est./S.E. P-Value
Within Level
TPW BY
TP_01_NP 0.798 0.014 57.353 0.000
TP_02_NP 0.127 0.044 2.917 0.004
TP_03_NP 0.797 0.015 53.945 0.000
TP_04_NP 0.544 0.023 23.871 0.000
TP_05_NP 0.782 0.017 46.479 0.000
TP_06_NP 0.616 0.024 25.423 0.000
Variances
TPW 1.000 0.000 999.000 999.000
Residual Variances
TP_01_NP 0.363 0.022 16.347 0.000
TP_02_NP 0.984 0.011 88.844 0.000
TP_03_NP 0.364 0.024 15.464 0.000
TP_04_NP 0.704 0.025 28.428 0.000
TP_05_NP 0.388 0.026 14.736 0.000
TP_06_NP 0.621 0.030 20.810 0.000
Between Level
TPB BY
TP_01_NP 0.908 0.027 33.973 0.000
TP_02_NP 0.389 0.113 3.431 0.001
TP_03_NP 0.932 0.027 35.030 0.000
TP_04_NP 0.614 0.074 8.299 0.000
TP_05_NP 0.932 0.026 35.549 0.000
TP_06_NP 0.942 0.034 28.080 0.000
Intercepts
TP_01_NP 7.089 0.542 13.077 0.000
TP_02_NP 6.086 0.436 13.975 0.000
TP_03_NP 7.244 0.591 12.255 0.000
TP_04_NP 4.473 0.282 15.861 0.000
TP_05_NP 6.619 0.522 12.692 0.000
TP_06_NP 6.787 0.502 13.532 0.000
Variances
TPB 1.000 0.000 999.000 999.000
Residual Variances
TP_01_NP 0.175 0.049 3.608 0.000
TP_02_NP 0.849 0.088 9.619 0.000
TP_03_NP 0.131 0.050 2.640 0.008
TP_04_NP 0.624 0.091 6.874 0.000
TP_05_NP 0.131 0.049 2.688 0.007
TP_06_NP 0.113 0.063 1.781 0.075
STDY Standardization
Two-Tailed
Estimate S.E. Est./S.E. P-Value
Within Level
TPW BY
TP_01_NP 0.798 0.014 57.353 0.000
TP_02_NP 0.127 0.044 2.917 0.004
TP_03_NP 0.797 0.015 53.945 0.000
TP_04_NP 0.544 0.023 23.871 0.000
TP_05_NP 0.782 0.017 46.479 0.000
TP_06_NP 0.616 0.024 25.423 0.000
Variances
TPW 1.000 0.000 999.000 999.000
Residual Variances
TP_01_NP 0.363 0.022 16.347 0.000
TP_02_NP 0.984 0.011 88.844 0.000
TP_03_NP 0.364 0.024 15.464 0.000
TP_04_NP 0.704 0.025 28.428 0.000
TP_05_NP 0.388 0.026 14.736 0.000
TP_06_NP 0.621 0.030 20.810 0.000
Between Level
TPB BY
TP_01_NP 0.908 0.027 33.973 0.000
TP_02_NP 0.389 0.113 3.431 0.001
TP_03_NP 0.932 0.027 35.030 0.000
TP_04_NP 0.614 0.074 8.299 0.000
TP_05_NP 0.932 0.026 35.549 0.000
TP_06_NP 0.942 0.034 28.080 0.000
Intercepts
TP_01_NP 7.089 0.542 13.077 0.000
TP_02_NP 6.086 0.436 13.975 0.000
TP_03_NP 7.244 0.591 12.255 0.000
TP_04_NP 4.473 0.282 15.861 0.000
TP_05_NP 6.619 0.522 12.692 0.000
TP_06_NP 6.787 0.502 13.532 0.000
Variances
TPB 1.000 0.000 999.000 999.000
Residual Variances
TP_01_NP 0.175 0.049 3.608 0.000
TP_02_NP 0.849 0.088 9.619 0.000
TP_03_NP 0.131 0.050 2.640 0.008
TP_04_NP 0.624 0.091 6.874 0.000
TP_05_NP 0.131 0.049 2.688 0.007
TP_06_NP 0.113 0.063 1.781 0.075
STD Standardization
Two-Tailed
Estimate S.E. Est./S.E. P-Value
Within Level
TPW BY
TP_01_NP 0.688 0.020 34.625 0.000
TP_02_NP 0.111 0.038 2.899 0.004
TP_03_NP 0.619 0.022 28.483 0.000
TP_04_NP 0.449 0.025 18.262 0.000
TP_05_NP 0.646 0.022 29.332 0.000
TP_06_NP 0.469 0.024 19.444 0.000
Variances
TPW 1.000 0.000 999.000 999.000
Residual Variances
TP_01_NP 0.270 0.018 15.319 0.000
TP_02_NP 0.750 0.033 22.905 0.000
TP_03_NP 0.220 0.013 16.682 0.000
TP_04_NP 0.481 0.024 19.981 0.000
TP_05_NP 0.265 0.018 14.518 0.000
TP_06_NP 0.360 0.019 19.182 0.000
Between Level
TPB BY
TP_01_NP 0.376 0.033 11.495 0.000
TP_02_NP 0.175 0.054 3.263 0.001
TP_03_NP 0.383 0.033 11.759 0.000
TP_04_NP 0.311 0.047 6.553 0.000
TP_05_NP 0.387 0.034 11.390 0.000
TP_06_NP 0.401 0.035 11.597 0.000
Intercepts
TP_01_NP 2.937 0.031 95.798 0.000
TP_02_NP 2.740 0.032 84.325 0.000
TP_03_NP 2.975 0.029 101.873 0.000
TP_04_NP 2.268 0.035 65.452 0.000
TP_05_NP 2.746 0.030 91.712 0.000
TP_06_NP 2.890 0.030 96.698 0.000
Variances
TPB 1.000 0.000 999.000 999.000
Residual Variances
TP_01_NP 0.030 0.008 3.638 0.000
TP_02_NP 0.172 0.029 5.899 0.000
TP_03_NP 0.022 0.009 2.480 0.013
TP_04_NP 0.160 0.025 6.507 0.000
TP_05_NP 0.023 0.008 2.728 0.006
TP_06_NP 0.020 0.011 1.820 0.069
R-SQUARE
Within Level
Observed Two-Tailed
Variable Estimate S.E. Est./S.E. P-Value
TP_01_NP 0.637 0.022 28.677 0.000
TP_02_NP 0.016 0.011 1.459 0.145
TP_03_NP 0.636 0.024 26.972 0.000
TP_04_NP 0.296 0.025 11.936 0.000
TP_05_NP 0.612 0.026 23.240 0.000
TP_06_NP 0.379 0.030 12.711 0.000
Between Level
Observed Two-Tailed
Variable Estimate S.E. Est./S.E. P-Value
TP_01_NP 0.825 0.049 16.987 0.000
TP_02_NP 0.151 0.088 1.715 0.086
TP_03_NP 0.869 0.050 17.515 0.000
TP_04_NP 0.376 0.091 4.150 0.000
TP_05_NP 0.869 0.049 17.774 0.000
TP_06_NP 0.887 0.063 14.040 0.000
QUALITY OF NUMERICAL RESULTS
Condition Number for the Information Matrix 0.561E-03
(ratio of smallest to largest eigenvalue)
Beginning Time: 10:48:13
Ending Time: 10:48:14
Elapsed Time: 00:00:01
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