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confirmatory_factor_analysis.out
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Mplus VERSION 8
MUTHEN & MUTHEN
11/18/2019 7:19 AM
INPUT INSTRUCTIONS
TITLE:
cfa for daily bp data
DATA:
FILE IS C:\Users\cochran\Documents\DailyBP\dailybp.dat;
VARIABLE:
NAMES ARE user, y1-y12;
USEV=y1-y12;
CATEGORICAL = y1-y12;
CLUSTER=user;
MISSING ARE ALL(999);
MODEL:
Dep BY y1*,y2-y3,y4,y6,y7-y9,y10,y12;
Man BY y4*,y5-y6,y10-y12;
Dep@1;
Man@1;
ANALYSIS:
TYPE = COMPLEX;
ESTIMATOR = WLSMV;
ROTATION = GEOMIN;
OUTPUT:
STDY, MODINDICES(3.84);;
*** 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: 360
1 WARNING(S) FOUND IN THE INPUT INSTRUCTIONS
cfa for daily bp data
SUMMARY OF ANALYSIS
Number of groups 1
Number of observations 1614
Number of dependent variables 12
Number of independent variables 0
Number of continuous latent variables 2
Observed dependent variables
Binary and ordered categorical (ordinal)
Y1 Y2 Y3 Y4 Y5 Y6
Y7 Y8 Y9 Y10 Y11 Y12
Continuous latent variables
DEP MAN
Variables with special functions
Cluster variable USER
Estimator WLSMV
Maximum number of iterations 1000
Convergence criterion 0.500D-04
Maximum number of steepest descent iterations 20
Maximum number of iterations for H1 2000
Convergence criterion for H1 0.100D-03
Parameterization DELTA
Link PROBIT
Input data file(s)
C:\Users\cochran\Documents\DailyBP\dailybp.dat
Input data format FREE
SUMMARY OF DATA
Number of missing data patterns 3
Number of clusters 43
COVARIANCE COVERAGE OF DATA
Minimum covariance coverage value 0.100
PROPORTION OF DATA PRESENT
Covariance Coverage
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
Y1 0.873
Y2 0.873 0.873
Y3 0.873 0.873 0.873
Y4 0.873 0.873 0.873 0.873
Y5 0.873 0.873 0.873 0.873 0.873
Y6 0.873 0.873 0.873 0.873 0.873
Y7 0.755 0.755 0.755 0.755 0.755
Y8 0.755 0.755 0.755 0.755 0.755
Y9 0.755 0.755 0.755 0.755 0.755
Y10 0.755 0.755 0.755 0.755 0.755
Y11 0.755 0.755 0.755 0.755 0.755
Y12 0.755 0.755 0.755 0.755 0.755
Covariance Coverage
Y6 Y7 Y8 Y9 Y10
________ ________ ________ ________ ________
Y6 0.873
Y7 0.755 0.882
Y8 0.755 0.882 0.882
Y9 0.755 0.882 0.882 0.882
Y10 0.755 0.882 0.882 0.882 0.882
Y11 0.755 0.882 0.882 0.882 0.882
Y12 0.755 0.882 0.882 0.882 0.882
Covariance Coverage
Y11 Y12
________ ________
Y11 0.882
Y12 0.882 0.882
UNIVARIATE PROPORTIONS AND COUNTS FOR CATEGORICAL VARIABLES
Y1
Category 1 0.592 834.000
Category 2 0.287 404.000
Category 3 0.095 134.000
Category 4 0.026 37.000
Y2
Category 1 0.520 733.000
Category 2 0.310 437.000
Category 3 0.130 183.000
Category 4 0.040 56.000
Y3
Category 1 0.791 1115.000
Category 2 0.125 176.000
Category 3 0.046 65.000
Category 4 0.038 53.000
Y4
Category 1 0.815 1148.000
Category 2 0.126 178.000
Category 3 0.049 69.000
Category 4 0.010 14.000
Y5
Category 1 0.908 1280.000
Category 2 0.060 85.000
Category 3 0.028 40.000
Category 4 0.003 4.000
Y6
Category 1 0.688 969.000
Category 2 0.192 270.000
Category 3 0.089 126.000
Category 4 0.031 44.000
Y7
Category 1 0.556 791.000
Category 2 0.268 381.000
Category 3 0.143 203.000
Category 4 0.034 48.000
Y8
Category 1 0.490 697.000
Category 2 0.297 423.000
Category 3 0.148 210.000
Category 4 0.065 93.000
Y9
Category 1 0.725 1031.000
Category 2 0.148 211.000
Category 3 0.065 92.000
Category 4 0.063 89.000
Y10
Category 1 0.748 1064.000
Category 2 0.186 264.000
Category 3 0.056 80.000
Category 4 0.011 15.000
Y11
Category 1 0.833 1186.000
Category 2 0.115 163.000
Category 3 0.040 57.000
Category 4 0.012 17.000
Y12
Category 1 0.642 914.000
Category 2 0.200 285.000
Category 3 0.113 161.000
Category 4 0.044 63.000
THE MODEL ESTIMATION TERMINATED NORMALLY
MODEL FIT INFORMATION
Number of Free Parameters 53
Chi-Square Test of Model Fit
Value 135.283*
Degrees of Freedom 49
P-Value 0.0000
* 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 0.033
90 Percent C.I. 0.026 0.040
Probability RMSEA <= .05 1.000
CFI/TLI
CFI 0.918
TLI 0.890
Chi-Square Test of Model Fit for the Baseline Model
Value 1120.115
Degrees of Freedom 66
P-Value 0.0000
WRMR (Weighted Root Mean Square Residual)
Value 1.080
MODEL RESULTS
Two-Tailed
Estimate S.E. Est./S.E. P-Value
DEP BY
Y1 0.832 0.025 32.714 0.000
Y2 0.768 0.038 19.983 0.000
Y3 0.754 0.047 16.080 0.000
Y4 -0.097 0.116 -0.834 0.404
Y6 0.483 0.038 12.680 0.000
Y7 0.825 0.039 21.178 0.000
Y8 0.773 0.034 23.056 0.000
Y9 0.749 0.049 15.249 0.000
Y10 -0.144 0.108 -1.341 0.180
Y12 0.508 0.044 11.482 0.000
MAN BY
Y4 0.835 0.042 20.013 0.000
Y5 0.849 0.044 19.445 0.000
Y6 0.537 0.053 10.122 0.000
Y10 0.906 0.057 16.004 0.000
Y11 0.836 0.041 20.560 0.000
Y12 0.432 0.068 6.365 0.000
MAN WITH
DEP 0.243 0.126 1.932 0.053
Thresholds
Y1$1 0.232 0.140 1.659 0.097
Y1$2 1.168 0.124 9.430 0.000
Y1$3 1.939 0.140 13.894 0.000
Y2$1 0.051 0.132 0.385 0.700
Y2$2 0.956 0.131 7.272 0.000
Y2$3 1.754 0.147 11.966 0.000
Y3$1 0.811 0.153 5.299 0.000
Y3$2 1.380 0.223 6.201 0.000
Y3$3 1.779 0.235 7.565 0.000
Y4$1 0.896 0.135 6.623 0.000
Y4$2 1.564 0.153 10.241 0.000
Y4$3 2.329 0.253 9.190 0.000
Y5$1 1.331 0.151 8.807 0.000
Y5$2 1.863 0.191 9.779 0.000
Y5$3 2.766 0.198 13.982 0.000
Y6$1 0.489 0.144 3.388 0.001
Y6$2 1.172 0.174 6.747 0.000
Y6$3 1.863 0.234 7.952 0.000
Y7$1 0.141 0.139 1.012 0.311
Y7$2 0.929 0.139 6.698 0.000
Y7$3 1.829 0.135 13.523 0.000
Y8$1 -0.026 0.129 -0.199 0.843
Y8$2 0.796 0.129 6.153 0.000
Y8$3 1.511 0.144 10.474 0.000
Y9$1 0.596 0.147 4.068 0.000
Y9$2 1.140 0.186 6.138 0.000
Y9$3 1.534 0.218 7.029 0.000
Y10$1 0.667 0.121 5.494 0.000
Y10$2 1.500 0.129 11.637 0.000
Y10$3 2.307 0.222 10.386 0.000
Y11$1 0.968 0.128 7.537 0.000
Y11$2 1.626 0.149 10.882 0.000
Y11$3 2.259 0.230 9.809 0.000
Y12$1 0.365 0.129 2.822 0.005
Y12$2 1.005 0.133 7.553 0.000
Y12$3 1.703 0.168 10.118 0.000
Variances
DEP 1.000 0.000 999.000 999.000
MAN 1.000 0.000 999.000 999.000
STANDARDIZED MODEL RESULTS
STDY Standardization
Two-Tailed
Estimate S.E. Est./S.E. P-Value
DEP BY
Y1 0.832 0.025 32.714 0.000
Y2 0.768 0.038 19.983 0.000
Y3 0.754 0.047 16.080 0.000
Y4 -0.097 0.116 -0.834 0.404
Y6 0.483 0.038 12.680 0.000
Y7 0.825 0.039 21.178 0.000
Y8 0.773 0.034 23.056 0.000
Y9 0.749 0.049 15.249 0.000
Y10 -0.144 0.108 -1.341 0.180
Y12 0.508 0.044 11.482 0.000
MAN BY
Y4 0.835 0.042 20.013 0.000
Y5 0.849 0.044 19.445 0.000
Y6 0.537 0.053 10.122 0.000
Y10 0.906 0.057 16.004 0.000
Y11 0.836 0.041 20.560 0.000
Y12 0.432 0.068 6.365 0.000
MAN WITH
DEP 0.243 0.126 1.932 0.053
Thresholds
Y1$1 0.232 0.140 1.659 0.097
Y1$2 1.168 0.124 9.430 0.000
Y1$3 1.939 0.140 13.894 0.000
Y2$1 0.051 0.132 0.385 0.700
Y2$2 0.956 0.131 7.272 0.000
Y2$3 1.754 0.147 11.966 0.000
Y3$1 0.811 0.153 5.299 0.000
Y3$2 1.380 0.223 6.201 0.000
Y3$3 1.779 0.235 7.565 0.000
Y4$1 0.896 0.135 6.623 0.000
Y4$2 1.564 0.153 10.241 0.000
Y4$3 2.329 0.253 9.190 0.000
Y5$1 1.331 0.151 8.807 0.000
Y5$2 1.863 0.191 9.779 0.000
Y5$3 2.766 0.198 13.982 0.000
Y6$1 0.489 0.144 3.388 0.001
Y6$2 1.172 0.174 6.747 0.000
Y6$3 1.863 0.234 7.952 0.000
Y7$1 0.141 0.139 1.012 0.311
Y7$2 0.929 0.139 6.698 0.000
Y7$3 1.829 0.135 13.523 0.000
Y8$1 -0.026 0.129 -0.199 0.843
Y8$2 0.796 0.129 6.153 0.000
Y8$3 1.511 0.144 10.474 0.000
Y9$1 0.596 0.147 4.068 0.000
Y9$2 1.140 0.186 6.138 0.000
Y9$3 1.534 0.218 7.029 0.000
Y10$1 0.667 0.121 5.494 0.000
Y10$2 1.500 0.129 11.637 0.000
Y10$3 2.307 0.222 10.386 0.000
Y11$1 0.968 0.128 7.537 0.000
Y11$2 1.626 0.149 10.882 0.000
Y11$3 2.259 0.230 9.809 0.000
Y12$1 0.365 0.129 2.822 0.005
Y12$2 1.005 0.133 7.553 0.000
Y12$3 1.703 0.168 10.118 0.000
Variances
DEP 1.000 0.000 999.000 999.000
MAN 1.000 0.000 999.000 999.000
R-SQUARE
Observed Two-Tailed Residual
Variable Estimate S.E. Est./S.E. P-Value Variance
Y1 0.692 0.042 16.357 0.000 0.308
Y2 0.590 0.059 9.992 0.000 0.410
Y3 0.569 0.071 8.040 0.000 0.431
Y4 0.668 0.061 10.952 0.000 0.332
Y5 0.721 0.074 9.723 0.000 0.279
Y6 0.647 0.055 11.768 0.000 0.353
Y7 0.681 0.064 10.589 0.000 0.319
Y8 0.597 0.052 11.528 0.000 0.403
Y9 0.561 0.074 7.625 0.000 0.439
Y10 0.779 0.082 9.464 0.000 0.221
Y11 0.700 0.068 10.280 0.000 0.300
Y12 0.551 0.048 11.558 0.000 0.449
QUALITY OF NUMERICAL RESULTS
Condition Number for the Information Matrix 0.637E-02
(ratio of smallest to largest eigenvalue)
MODEL MODIFICATION INDICES
NOTE: Modification indices for direct effects of observed dependent variables
regressed on covariates and residual covariances among observed dependent
variables may not be included. To include these, request MODINDICES (ALL).
Minimum M.I. value for printing the modification index 3.840
M.I. E.P.C. Std E.P.C. StdYX E.P.C.
BY Statements
MAN BY Y3 7.862 0.225 0.225 0.225
MAN BY Y7 6.935 -0.200 -0.200 -0.200
MAN BY Y9 6.332 0.191 0.191 0.191
DIAGRAM INFORMATION
Use View Diagram under the Diagram menu in the Mplus Editor to view the diagram.
If running Mplus from the Mplus Diagrammer, the diagram opens automatically.
Diagram output
c:\users\cochran\documents\dailybp\cfa_cont_mlr.dgm
Beginning Time: 07:19:33
Ending Time: 07:19:34
Elapsed Time: 00:00:01
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