Mplus VERSION 7.4
MUTHEN & MUTHEN
06/03/2016 4:16 PM
INPUT INSTRUCTIONS
TITLE: Regressing math10 on math7
DATA:
FILE = dropout.dat;
FORMAT = 11f8 6f8.2 1f8 2f8.2 10f2;
VARIABLE:
NAMES ARE id school gender mothed fathed fathsei ethnic expect
pacpush pmpush homeres
math7 math8 math9 math10 math11 math12 problem esteem mathatt
clocatn dlocatn elocatn flocatn glocatn hlocatn ilocatn jlocatn
klocatn llocatn;
MISSING = mothed (8) fathed (8) fathsei (996 998)
ethnic (8) homeres (98) math7-math12 (996 998);
IDVARIABLE = id;
USEVAR = math7 math10;
MODEL:
math10 ON math7;
OUTPUT:
TECH1 SAMPSTAT STDYX RESIDUAL CINTERVAL;
Plot:
TYPE = PLOT1;
*** 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: 30
*** 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: 21
*** 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: 1046
3 WARNING(S) FOUND IN THE INPUT INSTRUCTIONS
Regressing math10 on math7
SUMMARY OF ANALYSIS
Number of groups 1
Number of observations 2019
Number of dependent variables 1
Number of independent variables 1
Number of continuous latent variables 0
Observed dependent variables
Continuous
MATH10
Observed independent variables
MATH7
Variables with special functions
ID variable ID
Estimator ML
Information matrix OBSERVED
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
Input data file(s)
dropout.dat
Input data format
(11F8 6F8.2 1F8 2F8.2 10F2)
SUMMARY OF DATA
Number of missing data patterns 1
COVARIANCE COVERAGE OF DATA
Minimum covariance coverage value 0.100
PROPORTION OF DATA PRESENT
Covariance Coverage
MATH10 MATH7
________ ________
MATH10 1.000
MATH7 1.000 1.000
SAMPLE STATISTICS
ESTIMATED SAMPLE STATISTICS
Means
MATH10 MATH7
________ ________
1 63.624 51.515
Covariances
MATH10 MATH7
________ ________
MATH10 186.231
MATH7 109.098 103.212
Correlations
MATH10 MATH7
________ ________
MATH10 1.000
MATH7 0.787 1.000
MAXIMUM LOG-LIKELIHOOD VALUE FOR THE UNRESTRICTED (H1) MODEL IS -14712.416
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
MATH10 63.624 -0.321 29.600 0.05% 51.490 61.860 65.340
2019.000 186.231 -0.459 95.170 0.25% 68.400 75.290
MATH7 51.515 0.050 27.560 0.05% 42.080 48.670 51.810
2019.000 103.212 -0.621 85.020 0.05% 54.390 60.650
THE MODEL ESTIMATION TERMINATED NORMALLY
MODEL FIT INFORMATION
Number of Free Parameters 3
Loglikelihood
H0 Value -7166.748
H1 Value -7166.748
Information Criteria
Akaike (AIC) 14339.496
Bayesian (BIC) 14356.327
Sample-Size Adjusted BIC 14346.796
(n* = (n + 2) / 24)
Chi-Square Test of Model Fit
Value 0.000
Degrees of Freedom 0
P-Value 0.0000
RMSEA (Root Mean Square Error Of Approximation)
Estimate 0.000
90 Percent C.I. 0.000 0.000
Probability RMSEA <= .05 0.000
CFI/TLI
CFI 1.000
TLI 1.000
Chi-Square Test of Model Fit for the Baseline Model
Value 1949.463
Degrees of Freedom 1
P-Value 0.0000
SRMR (Standardized Root Mean Square Residual)
Value 0.000
MODEL RESULTS
Two-Tailed
Estimate S.E. Est./S.E. P-Value
MATH10 ON
MATH7 1.057 0.018 57.301 0.000
Intercepts
MATH10 9.171 0.969 9.468 0.000
Residual Variances
MATH10 70.912 2.232 31.772 0.000
STANDARDIZED MODEL RESULTS
STDYX Standardization
Two-Tailed
Estimate S.E. Est./S.E. P-Value
MATH10 ON
MATH7 0.787 0.008 92.859 0.000
Intercepts
MATH10 0.672 0.078 8.562 0.000
Residual Variances
MATH10 0.381 0.013 28.550 0.000
R-SQUARE
Observed Two-Tailed
Variable Estimate S.E. Est./S.E. P-Value
MATH10 0.619 0.013 46.430 0.000
QUALITY OF NUMERICAL RESULTS
Condition Number for the Information Matrix 0.281E-03
(ratio of smallest to largest eigenvalue)
CONFIDENCE INTERVALS OF MODEL RESULTS
Lower .5% Lower 2.5% Lower 5% Estimate Upper 5% Upper 2.5% Upper .5%
MATH10 ON
MATH7 1.010 1.021 1.027 1.057 1.087 1.093 1.105
Intercepts
MATH10 6.676 7.272 7.578 9.171 10.764 11.069 11.666
Residual Variances
MATH10 65.163 66.537 67.240 70.912 74.583 75.286 76.660
CONFIDENCE INTERVALS OF STANDARDIZED MODEL RESULTS
STDYX Standardization
Lower .5% Lower 2.5% Lower 5% Estimate Upper 5% Upper 2.5% Upper .5%
MATH10 ON
MATH7 0.765 0.770 0.773 0.787 0.801 0.804 0.809
Intercepts
MATH10 0.470 0.518 0.543 0.672 0.801 0.826 0.874
Residual Variances
MATH10 0.346 0.355 0.359 0.381 0.403 0.407 0.415
RESIDUAL OUTPUT
ESTIMATED MODEL AND RESIDUALS (OBSERVED - ESTIMATED)
Model Estimated Means/Intercepts/Thresholds
MATH10 MATH7
________ ________
1 63.624 51.515
Residuals for Means/Intercepts/Thresholds
MATH10 MATH7
________ ________
1 0.000 0.000
Standardized Residuals (z-scores) for Means/Intercepts/Thresholds
MATH10 MATH7
________ ________
1 0.583 0.000
Normalized Residuals for Means/Intercepts/Thresholds
MATH10 MATH7
________ ________
1 0.000 0.000
Model Estimated Covariances/Correlations/Residual Correlations
MATH10 MATH7
________ ________
MATH10 186.231
MATH7 109.098 103.212
Residuals for Covariances/Correlations/Residual Correlations
MATH10 MATH7
________ ________
MATH10 0.000
MATH7 0.000 0.000
Standardized Residuals (z-scores) for Covariances/Correlations/Residual Corr
MATH10 MATH7
________ ________
MATH10 0.005
MATH7 0.045 0.000
Normalized Residuals for Covariances/Correlations/Residual Correlations
MATH10 MATH7
________ ________
MATH10 0.000
MATH7 0.000 0.000
TECHNICAL 1 OUTPUT
PARAMETER SPECIFICATION
NU
MATH10 MATH7
________ ________
1 0 0
LAMBDA
MATH10 MATH7
________ ________
MATH10 0 0
MATH7 0 0
THETA
MATH10 MATH7
________ ________
MATH10 0
MATH7 0 0
ALPHA
MATH10 MATH7
________ ________
1 1 0
BETA
MATH10 MATH7
________ ________
MATH10 0 2
MATH7 0 0
PSI
MATH10 MATH7
________ ________
MATH10 3
MATH7 0 0
STARTING VALUES
NU
MATH10 MATH7
________ ________
1 0.000 0.000
LAMBDA
MATH10 MATH7
________ ________
MATH10 1.000 0.000
MATH7 0.000 1.000
THETA
MATH10 MATH7
________ ________
MATH10 0.000
MATH7 0.000 0.000
ALPHA
MATH10 MATH7
________ ________
1 63.624 51.515
BETA
MATH10 MATH7
________ ________
MATH10 0.000 0.000
MATH7 0.000 0.000
PSI
MATH10 MATH7
________ ________
MATH10 93.115
MATH7 0.000 103.212
PLOT INFORMATION
The following plots are available:
Histograms (sample values)
Scatterplots (sample values)
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\bengt 2013\documents\bengt\mplus runs\a book - topic 1 mplus runs\regression\lsay\1-2 t
Beginning Time: 16:16:26
Ending Time: 16:16:26
Elapsed Time: 00:00:00
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