Mplus VERSION 8.10
MUTHEN & MUTHEN
08/29/2023 2:21 PM
OUTPUT SECTIONS
INPUT INSTRUCTIONS
TITLE: 002_Bilinear_spline_growht_curve_model
DATA:
FILE IS data.dat;
LISTWISE = ON;
VARIABLE:
NAMES ARE
id female pdu1 ace1 worry1
lone1 lone2 lone3 lone4 lone5
anx1 anx2 anx3 anx4 anx5
dep1 dep2 dep3 dep4 dep5
host1 host2 host3 host4 host5
percon5 percon5b subs5 subs5b sleep5 sleep5b;
USEVARIABLES ARE
lone1 lone2 lone3 lone4 lone5;
MISSING ARE ALL (-999);
ANALYSIS:
ESTIMATOR = ML;
MODEL:
I S1|lone1@-3 lone2@-3 lone3@-3 lone4@-2 lone5@0;!Slope 1
I S2|lone1@-3 lone2@-2 lone3@0 lone4@0 lone5@0;!Slope 2
OUTPUT:
SAMPSTAT STAND;
INPUT READING TERMINATED NORMALLY
002_Bilinear_spline_growht_curve_model
SUMMARY OF ANALYSIS
Number of groups 1
Number of observations 321
Number of dependent variables 5
Number of independent variables 0
Number of continuous latent variables 3
Observed dependent variables
Continuous
LONE1 LONE2 LONE3 LONE4 LONE5
Continuous latent variables
I S1 S2
Estimator ML
Information matrix OBSERVED
Maximum number of iterations 1000
Convergence criterion 0.500D-04
Maximum number of steepest descent iterations 20
Input data file(s)
data.dat
Input data format FREE
SAMPLE STATISTICS
SAMPLE STATISTICS
Means
LONE1 LONE2 LONE3 LONE4 LONE5
________ ________ ________ ________ ________
1.443 1.455 1.523 1.333 1.307
Covariances
LONE1 LONE2 LONE3 LONE4 LONE5
________ ________ ________ ________ ________
LONE1 0.182
LONE2 0.131 0.253
LONE3 0.099 0.136 0.261
LONE4 0.058 0.083 0.100 0.173
LONE5 0.040 0.064 0.074 0.058 0.121
Correlations
LONE1 LONE2 LONE3 LONE4 LONE5
________ ________ ________ ________ ________
LONE1 1.000
LONE2 0.613 1.000
LONE3 0.452 0.527 1.000
LONE4 0.325 0.397 0.468 1.000
LONE5 0.269 0.369 0.418 0.399 1.000
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
LONE1 1.443 1.618 1.000 7.17% 1.100 1.233 1.320
321.000 0.182 2.948 3.367 0.31% 1.437 1.693
LONE2 1.455 2.529 1.000 8.10% 1.100 1.223 1.307
321.000 0.253 9.733 5.000 0.31% 1.387 1.740
LONE3 1.523 1.521 1.000 9.35% 1.113 1.257 1.363
321.000 0.261 2.349 3.783 0.31% 1.480 1.890
LONE4 1.333 2.713 1.000 15.26% 1.027 1.167 1.227
321.000 0.173 9.009 3.543 0.31% 1.283 1.490
LONE5 1.307 2.323 1.000 13.40% 1.027 1.157 1.213
321.000 0.121 7.256 3.427 0.31% 1.283 1.473
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.
PROBLEM INVOLVING VARIABLE S1.
MODEL FIT INFORMATION
Number of Free Parameters 14
Loglikelihood
H0 Value -741.809
H1 Value -721.418
Information Criteria
Akaike (AIC) 1511.618
Bayesian (BIC) 1564.418
Sample-Size Adjusted BIC 1520.012
(n* = (n + 2) / 24)
Chi-Square Test of Model Fit
Value 40.781
Degrees of Freedom 6
P-Value 0.0000
RMSEA (Root Mean Square Error Of Approximation)
Estimate 0.134
90 Percent C.I. 0.097 0.175
Probability RMSEA <= .05 0.000
CFI/TLI
CFI 0.921
TLI 0.869
Chi-Square Test of Model Fit for the Baseline Model
Value 451.170
Degrees of Freedom 10
P-Value 0.0000
SRMR (Standardized Root Mean Square Residual)
Value 0.060
MODEL RESULTS
Two-Tailed
Estimate S.E. Est./S.E. P-Value
I |
LONE1 1.000 0.000 999.000 999.000
LONE2 1.000 0.000 999.000 999.000
LONE3 1.000 0.000 999.000 999.000
LONE4 1.000 0.000 999.000 999.000
LONE5 1.000 0.000 999.000 999.000
S1 |
LONE1 -3.000 0.000 999.000 999.000
LONE2 -3.000 0.000 999.000 999.000
LONE3 -3.000 0.000 999.000 999.000
LONE4 -2.000 0.000 999.000 999.000
LONE5 0.000 0.000 999.000 999.000
S2 |
LONE1 -3.000 0.000 999.000 999.000
LONE2 -2.000 0.000 999.000 999.000
LONE3 0.000 0.000 999.000 999.000
LONE4 0.000 0.000 999.000 999.000
LONE5 0.000 0.000 999.000 999.000
S1 WITH
I -0.012 0.009 -1.356 0.175
S2 WITH
I 0.011 0.003 3.310 0.001
S1 0.000 0.002 0.082 0.935
Means
I 1.288 0.020 66.016 0.000
S1 -0.059 0.009 -6.753 0.000
S2 0.007 0.009 0.782 0.434
Intercepts
LONE1 0.000 0.000 999.000 999.000
LONE2 0.000 0.000 999.000 999.000
LONE3 0.000 0.000 999.000 999.000
LONE4 0.000 0.000 999.000 999.000
LONE5 0.000 0.000 999.000 999.000
Variances
I 0.036 0.023 1.554 0.120
S1 0.002 0.004 0.569 0.569
S2 0.008 0.003 3.312 0.001
Residual Variances
LONE1 0.046 0.013 3.680 0.000
LONE2 0.114 0.011 10.051 0.000
LONE3 0.130 0.017 7.770 0.000
LONE4 0.106 0.011 9.511 0.000
LONE5 0.082 0.023 3.560 0.000
QUALITY OF NUMERICAL RESULTS
Condition Number for the Information Matrix 0.270E-03
(ratio of smallest to largest eigenvalue)
STANDARDIZED MODEL RESULTS
STDYX Standardization
Two-Tailed
Estimate S.E. Est./S.E. P-Value
I |
LONE1 0.439 0.142 3.094 0.002
LONE2 0.393 0.127 3.100 0.002
LONE3 0.375 0.123 3.053 0.002
LONE4 0.427 0.132 3.220 0.001
LONE5 0.552 0.174 3.163 0.002
S1 |
LONE1 -0.326 0.286 -1.139 0.255
LONE2 -0.292 0.256 -1.141 0.254
LONE3 -0.278 0.245 -1.135 0.256
LONE4 -0.211 0.183 -1.156 0.248
LONE5 0.000 0.000 999.000 999.000
S2 |
LONE1 -0.639 0.101 -6.335 0.000
LONE2 -0.381 0.056 -6.826 0.000
LONE3 0.000 0.000 999.000 999.000
LONE4 0.000 0.000 999.000 999.000
LONE5 0.000 0.000 999.000 999.000
S1 WITH
I -1.314 2.444 -0.538 0.591
S2 WITH
I 0.616 0.330 1.864 0.062
S1 0.035 0.451 0.078 0.938
Means
I 6.795 2.165 3.139 0.002
S1 -1.253 1.129 -1.110 0.267
S2 0.075 0.096 0.781 0.435
Intercepts
LONE1 0.000 0.000 999.000 999.000
LONE2 0.000 0.000 999.000 999.000
LONE3 0.000 0.000 999.000 999.000
LONE4 0.000 0.000 999.000 999.000
LONE5 0.000 0.000 999.000 999.000
Variances
I 1.000 0.000 999.000 999.000
S1 1.000 0.000 999.000 999.000
S2 1.000 0.000 999.000 999.000
Residual Variances
LONE1 0.247 0.064 3.869 0.000
LONE2 0.491 0.035 13.977 0.000
LONE3 0.508 0.057 8.942 0.000
LONE4 0.537 0.039 13.615 0.000
LONE5 0.696 0.193 3.613 0.000
STDY Standardization
Two-Tailed
Estimate S.E. Est./S.E. P-Value
I |
LONE1 0.439 0.142 3.094 0.002
LONE2 0.393 0.127 3.100 0.002
LONE3 0.375 0.123 3.053 0.002
LONE4 0.427 0.132 3.220 0.001
LONE5 0.552 0.174 3.163 0.002
S1 |
LONE1 -0.326 0.286 -1.139 0.255
LONE2 -0.292 0.256 -1.141 0.254
LONE3 -0.278 0.245 -1.135 0.256
LONE4 -0.211 0.183 -1.156 0.248
LONE5 0.000 0.000 999.000 999.000
S2 |
LONE1 -0.639 0.101 -6.335 0.000
LONE2 -0.381 0.056 -6.826 0.000
LONE3 0.000 0.000 999.000 999.000
LONE4 0.000 0.000 999.000 999.000
LONE5 0.000 0.000 999.000 999.000
S1 WITH
I -1.314 2.444 -0.538 0.591
S2 WITH
I 0.616 0.330 1.864 0.062
S1 0.035 0.451 0.078 0.938
Means
I 6.795 2.165 3.139 0.002
S1 -1.253 1.129 -1.110 0.267
S2 0.075 0.096 0.781 0.435
Intercepts
LONE1 0.000 0.000 999.000 999.000
LONE2 0.000 0.000 999.000 999.000
LONE3 0.000 0.000 999.000 999.000
LONE4 0.000 0.000 999.000 999.000
LONE5 0.000 0.000 999.000 999.000
Variances
I 1.000 0.000 999.000 999.000
S1 1.000 0.000 999.000 999.000
S2 1.000 0.000 999.000 999.000
Residual Variances
LONE1 0.247 0.064 3.869 0.000
LONE2 0.491 0.035 13.977 0.000
LONE3 0.508 0.057 8.942 0.000
LONE4 0.537 0.039 13.615 0.000
LONE5 0.696 0.193 3.613 0.000
STD Standardization
Two-Tailed
Estimate S.E. Est./S.E. P-Value
I |
LONE1 0.190 0.061 3.107 0.002
LONE2 0.190 0.061 3.107 0.002
LONE3 0.190 0.061 3.107 0.002
LONE4 0.190 0.061 3.107 0.002
LONE5 0.190 0.061 3.107 0.002
S1 |
LONE1 -0.141 0.124 -1.139 0.255
LONE2 -0.141 0.124 -1.139 0.255
LONE3 -0.141 0.124 -1.139 0.255
LONE4 -0.094 0.082 -1.139 0.255
LONE5 0.000 0.000 999.000 999.000
S2 |
LONE1 -0.276 0.042 -6.625 0.000
LONE2 -0.184 0.028 -6.625 0.000
LONE3 0.000 0.000 999.000 999.000
LONE4 0.000 0.000 999.000 999.000
LONE5 0.000 0.000 999.000 999.000
S1 WITH
I -1.314 2.444 -0.538 0.591
S2 WITH
I 0.616 0.330 1.864 0.062
S1 0.035 0.451 0.078 0.938
Means
I 6.795 2.165 3.139 0.002
S1 -1.253 1.129 -1.110 0.267
S2 0.075 0.096 0.781 0.435
Intercepts
LONE1 0.000 0.000 999.000 999.000
LONE2 0.000 0.000 999.000 999.000
LONE3 0.000 0.000 999.000 999.000
LONE4 0.000 0.000 999.000 999.000
LONE5 0.000 0.000 999.000 999.000
Variances
I 1.000 0.000 999.000 999.000
S1 1.000 0.000 999.000 999.000
S2 1.000 0.000 999.000 999.000
Residual Variances
LONE1 0.046 0.013 3.680 0.000
LONE2 0.114 0.011 10.051 0.000
LONE3 0.130 0.017 7.770 0.000
LONE4 0.106 0.011 9.511 0.000
LONE5 0.082 0.023 3.560 0.000
R-SQUARE
Observed Two-Tailed
Variable Estimate S.E. Est./S.E. P-Value
LONE1 0.753 0.064 11.791 0.000
LONE2 0.509 0.035 14.480 0.000
LONE3 0.492 0.057 8.672 0.000
LONE4 0.463 0.039 11.740 0.000
LONE5 0.304 0.193 1.581 0.114
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
m:\quant_resources\0000 workshops\000_nov_ntnu\001_lgcm_and_its_extensions\004_bilinear_spline_growht_curve_model_3.
Beginning Time: 14:21:19
Ending Time: 14:21:21
Elapsed Time: 00:00:02
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