Mplus VERSION 7.4
MUTHEN & MUTHEN
06/02/2016 8:03 AM
INPUT INSTRUCTIONS
data:
file = NMARn200replist.dat;
type = montecarlo;
variable:
names = y x1-x4 z;
usev = y x1-x4;
categorical = x3-x4;
define:
if(x1+z*2 gt 1)then x1=_missing;
if(-x2+z*2 gt .5)then x2=_missing;
if(x3-x4+z*2 gt .5)then x3=_missing;
if(-x3+x4+z*2 gt -2)then x4=_missing;
Analysis:
estimator = bayes;
process = 2;
biter = (10000);
mediator = observed;
Model:
y on x1-x4*.5;
y*1;
x1-x4 with x1-x4;
INPUT READING TERMINATED NORMALLY
SUMMARY OF ANALYSIS
Number of groups 1
Average number of observations 200
Number of replications
Requested 500
Completed 500
Number of dependent variables 1
Number of independent variables 4
Number of continuous latent variables 0
Observed dependent variables
Continuous
Y
Binary and ordered categorical (ordinal)
X3 X4
Observed independent variables
X1 X2 X3 X4
Estimator BAYES
Specifications for Bayesian Estimation
Point estimate MEDIAN
Number of Markov chain Monte Carlo (MCMC) chains 2
Random seed for the first chain 0
Starting value information UNPERTURBED
Treatment of categorical mediator OBSERVED
Algorithm used for Markov chain Monte Carlo GIBBS(PX1)
Convergence criterion 0.500D-01
Maximum number of iterations 50000
K-th iteration used for thinning 1
Input data file(s)
Multiple data files from
NMARn200replist.dat
Input data format FREE
SUMMARY OF DATA FOR THE FIRST REPLICATION
SUMMARY OF MISSING DATA PATTERNS FOR THE FIRST REPLICATION
Number of missing data patterns 9
MISSING DATA PATTERNS (x = not missing)
1 2 3 4 5 6 7 8 9
X3 x x x x x
X4 x x x x x
Y x x x x x x x x x
X1 x x x x x
X2 x x x x x
MISSING DATA PATTERN FREQUENCIES
Pattern Frequency Pattern Frequency Pattern Frequency
1 30 4 10 7 14
2 49 5 6 8 1
3 70 6 16 9 4
COVARIANCE COVERAGE OF DATA FOR THE FIRST REPLICATION
Minimum covariance coverage value 0.100
PROPORTION OF DATA PRESENT
Covariance Coverage
X3 X4 Y X1 X2
________ ________ ________ ________ ________
X3 0.605
X4 0.150 0.545
Y 0.605 0.545 1.000
X1 0.580 0.230 0.660 0.660
X2 0.520 0.250 0.620 0.530 0.620
UNIVARIATE PROPORTIONS FOR CATEGORICAL VARIABLES FOR THE FIRST REPLICATION
X3
Category 1 0.950
Category 2 0.050
X4
Category 1 0.872
Category 2 0.128
MODEL FIT INFORMATION
Number of Free Parameters 18
MODEL RESULTS
ESTIMATES S. E. M. S. E. 95% % Sig
Population Average Std. Dev. Average Cover Coeff
Y ON
X1 0.500 0.5109 0.1262 0.1305 0.0160 0.958 0.966
X2 0.500 0.5850 0.1092 0.1149 0.0191 0.886 0.996
X3 0.500 0.5902 0.5089 0.6315 0.2666 0.940 0.214
X4 0.500 0.6354 0.4159 0.4862 0.1910 0.964 0.234
X1 WITH
X2 0.000 0.3681 0.0941 0.0955 0.1443 0.010 0.990
X3 0.000 0.3090 0.1844 0.1794 0.1294 0.668 0.332
X4 0.000 0.4205 0.1953 0.2332 0.2149 0.706 0.294
X2 WITH
X3 0.000 0.3395 0.2273 0.2266 0.1668 0.746 0.254
X4 0.000 0.5518 0.1702 0.1865 0.3334 0.214 0.786
X3 WITH
X4 0.000 0.2239 0.3208 0.4180 0.1529 0.952 0.048
Means
X1 -0.365 -0.2715 0.0731 0.0803 0.0140 0.794 0.934
X2 0.132 0.0741 0.0882 0.0863 0.0111 0.900 0.156
Intercepts
Y 0.264 0.1278 0.1044 0.1091 0.0295 0.770 0.224
Thresholds
X3$1 1.641 1.5697 0.2790 0.2269 0.0827 0.928 1.000
X4$1 1.064 1.1043 0.1382 0.1384 0.0207 0.958 1.000
Variances
X1 0.500 0.7496 0.0993 0.1030 0.0721 0.134 1.000
X2 0.500 1.0218 0.1235 0.1336 0.2875 0.000 1.000
Residual Variances
Y 1.000 1.0451 0.1246 0.1339 0.0175 0.948 1.000
TECHNICAL 1 OUTPUT
PARAMETER SPECIFICATION
TAU
X3$1 X4$1
________ ________
1 17 18
NU
X3 X4 Y X1 X2
________ ________ ________ ________ ________
1 0 0 0 0 0
LAMBDA
X3 X4 Y X1 X2
________ ________ ________ ________ ________
X3 0 0 0 0 0
X4 0 0 0 0 0
Y 0 0 0 0 0
X1 0 0 0 0 0
X2 0 0 0 0 0
THETA
X3 X4 Y X1 X2
________ ________ ________ ________ ________
X3 0
X4 0 0
Y 0 0 0
X1 0 0 0 0
X2 0 0 0 0 0
ALPHA
X3 X4 Y X1 X2
________ ________ ________ ________ ________
1 0 0 1 2 3
BETA
X3 X4 Y X1 X2
________ ________ ________ ________ ________
X3 0 0 0 0 0
X4 0 0 0 0 0
Y 4 5 0 6 7
X1 0 0 0 0 0
X2 0 0 0 0 0
PSI
X3 X4 Y X1 X2
________ ________ ________ ________ ________
X3 0
X4 8 0
Y 0 0 9
X1 10 11 0 12
X2 13 14 0 15 16
STARTING VALUES
TAU
X3$1 X4$1
________ ________
1 1.641 1.064
NU
X3 X4 Y X1 X2
________ ________ ________ ________ ________
1 0.000 0.000 0.000 0.000 0.000
LAMBDA
X3 X4 Y X1 X2
________ ________ ________ ________ ________
X3 1.000 0.000 0.000 0.000 0.000
X4 0.000 1.000 0.000 0.000 0.000
Y 0.000 0.000 1.000 0.000 0.000
X1 0.000 0.000 0.000 1.000 0.000
X2 0.000 0.000 0.000 0.000 1.000
THETA
X3 X4 Y X1 X2
________ ________ ________ ________ ________
X3 0.000
X4 0.000 0.000
Y 0.000 0.000 0.000
X1 0.000 0.000 0.000 0.000
X2 0.000 0.000 0.000 0.000 0.000
ALPHA
X3 X4 Y X1 X2
________ ________ ________ ________ ________
1 0.000 0.000 0.264 -0.365 0.132
BETA
X3 X4 Y X1 X2
________ ________ ________ ________ ________
X3 0.000 0.000 0.000 0.000 0.000
X4 0.000 0.000 0.000 0.000 0.000
Y 0.500 0.500 0.000 0.500 0.500
X1 0.000 0.000 0.000 0.000 0.000
X2 0.000 0.000 0.000 0.000 0.000
PSI
X3 X4 Y X1 X2
________ ________ ________ ________ ________
X3 0.500
X4 0.000 0.500
Y 0.000 0.000 1.000
X1 0.000 0.000 0.000 0.500
X2 0.000 0.000 0.000 0.000 0.500
PRIORS FOR ALL PARAMETERS PRIOR MEAN PRIOR VARIANCE PRIOR STD. DEV.
Parameter 1~N(0.000,infinity) 0.0000 infinity infinity
Parameter 2~N(0.000,infinity) 0.0000 infinity infinity
Parameter 3~N(0.000,infinity) 0.0000 infinity infinity
Parameter 4~N(0.000,infinity) 0.0000 infinity infinity
Parameter 5~N(0.000,infinity) 0.0000 infinity infinity
Parameter 6~N(0.000,infinity) 0.0000 infinity infinity
Parameter 7~N(0.000,infinity) 0.0000 infinity infinity
Parameter 8~IW(0.000,5)
Parameter 9~IG(-1.000,0.000) infinity infinity infinity
Parameter 10~IW(0.000,5)
Parameter 11~IW(0.000,5)
Parameter 12~IW(1.000,5)
Parameter 13~IW(0.000,5)
Parameter 14~IW(0.000,5)
Parameter 15~IW(0.000,5)
Parameter 16~IW(1.000,5)
Parameter 17~N(0.000,5.000) 0.0000 5.0000 2.2361
Parameter 18~N(0.000,5.000) 0.0000 5.0000 2.2361
DIAGRAM INFORMATION
Mplus diagrams are currently not available for Monte Carlo analysis.
No diagram output was produced.
Beginning Time: 08:03:51
Ending Time: 08:27:17
Elapsed Time: 00:23:26
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