Mplus VERSION 8.8
MUTHEN & MUTHEN
04/19/2022  10:24 PM

INPUT INSTRUCTIONS

  TITLE:	this is an example of an N=1
          first-order autoregressive AR(1) IRT model
  	with binary indicators

  montecarlo:
  	names are u1-u4;
  	nobservations = 200;
  	nreps = 1;
      save = ex6.27.dat;
      generate = u1-u4(1);
    	categorical = u1-u4;

  ANALYSIS:	

      estimator = bayes;
      proc = 2;
      biter = (2000);

  MODEL POPULATION:

  	f BY u1-u4*1 (&1);
      f@1;
  !	u1-u4*1;
      f on f&1*.3;

  MODEL:
  	
      f BY u1-u4*1(&1);
      f@1;
  !	u1-u4*1;
      f on f&1*.3;

  output:
  	tech8;



INPUT READING TERMINATED NORMALLY



this is an example of an N=1
first-order autoregressive AR(1) IRT model
with binary indicators

SUMMARY OF ANALYSIS

Number of groups                                                 1
Number of observations                                         200

Number of replications
    Requested                                                    1
    Completed                                                    1
Value of seed                                                    0

Number of dependent variables                                    4
Number of independent variables                                  0
Number of continuous latent variables                            2

Observed dependent variables

  Binary and ordered categorical (ordinal)
   U1          U2          U3          U4

Continuous latent variables
   F           F&1


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
  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
Link                                                        PROBIT





MODEL FIT INFORMATION

Number of Free Parameters                        9



MODEL RESULTS

                              ESTIMATES              S. E.     M. S. E.  95%  % Sig
                 Population   Average   Std. Dev.   Average             Cover Coeff

 F        BY
  U1                  1.000     0.9735     0.0000     0.2273     0.0007 1.000 1.000
  U2                  1.000     1.0179     0.0000     0.2240     0.0003 1.000 1.000
  U3                  1.000     1.4294     0.0000     0.3255     0.1844 1.000 1.000
  U4                  1.000     1.0757     0.0000     0.2295     0.0057 1.000 1.000

 F          ON
  F&1                 0.300     0.2487     0.0000     0.0984     0.0026 1.000 1.000

 Thresholds
  U1$1                0.000    -0.1969     0.0000     0.1452     0.0388 1.000 0.000
  U2$1                0.000    -0.1924     0.0000     0.1397     0.0370 1.000 0.000
  U3$1                0.000    -0.0594     0.0000     0.1910     0.0035 1.000 0.000
  U4$1                0.000    -0.3388     0.0000     0.1569     0.1148 0.000 1.000

 Residual Variances
  F                   1.000     1.0000     0.0000     0.0000     0.0000 1.000 0.000


TECHNICAL 1 OUTPUT


     PARAMETER SPECIFICATION


           TAU
              U1$1          U2$1          U3$1          U4$1
              ________      ________      ________      ________
                    6             7             8             9


           NU
              U1            U2            U3            U4
              ________      ________      ________      ________
                    0             0             0             0


           LAMBDA
              F             F&1
              ________      ________
 U1                 1             0
 U2                 2             0
 U3                 3             0
 U4                 4             0


           THETA
              U1            U2            U3            U4
              ________      ________      ________      ________
 U1                 0
 U2                 0             0
 U3                 0             0             0
 U4                 0             0             0             0


           ALPHA
              F             F&1
              ________      ________
                    0             0


           BETA
              F             F&1
              ________      ________
 F                  0             5
 F&1                0             0


           PSI
              F             F&1
              ________      ________
 F                  0
 F&1                0             0


     STARTING VALUES


           TAU
              U1$1          U2$1          U3$1          U4$1
              ________      ________      ________      ________
                0.000         0.000         0.000         0.000


           NU
              U1            U2            U3            U4
              ________      ________      ________      ________
                0.000         0.000         0.000         0.000


           LAMBDA
              F             F&1
              ________      ________
 U1             1.000         0.000
 U2             1.000         0.000
 U3             1.000         0.000
 U4             1.000         0.000


           THETA
              U1            U2            U3            U4
              ________      ________      ________      ________
 U1             1.000
 U2             0.000         1.000
 U3             0.000         0.000         1.000
 U4             0.000         0.000         0.000         1.000


           ALPHA
              F             F&1
              ________      ________
                0.000         0.000


           BETA
              F             F&1
              ________      ________
 F              0.000         0.300
 F&1            0.000         0.000


           PSI
              F             F&1
              ________      ________
 F              1.000
 F&1            0.000         1.000


     POPULATION VALUES


           TAU
              U1$1          U2$1          U3$1          U4$1
              ________      ________      ________      ________
                0.000         0.000         0.000         0.000


           NU
              U1            U2            U3            U4
              ________      ________      ________      ________
                0.000         0.000         0.000         0.000


           LAMBDA
              F             F&1
              ________      ________
 U1             1.000         0.000
 U2             1.000         0.000
 U3             1.000         0.000
 U4             1.000         0.000


           THETA
              U1            U2            U3            U4
              ________      ________      ________      ________
 U1             0.000
 U2             0.000         0.000
 U3             0.000         0.000         0.000
 U4             0.000         0.000         0.000         0.000


           ALPHA
              F             F&1
              ________      ________
                0.000         0.000


           BETA
              F             F&1
              ________      ________
 F              0.000         0.300
 F&1            0.000         0.000


           PSI
              F             F&1
              ________      ________
 F              1.000
 F&1            0.000         1.000



     PRIORS FOR ALL PARAMETERS            PRIOR MEAN      PRIOR VARIANCE     PRIOR STD. DEV.

     Parameter 1~N(0.000,5.000)              0.0000              5.0000              2.2361
     Parameter 2~N(0.000,5.000)              0.0000              5.0000              2.2361
     Parameter 3~N(0.000,5.000)              0.0000              5.0000              2.2361
     Parameter 4~N(0.000,5.000)              0.0000              5.0000              2.2361
     Parameter 5~N(0.000,infinity)           0.0000            infinity            infinity
     Parameter 6~N(0.000,5.000)              0.0000              5.0000              2.2361
     Parameter 7~N(0.000,5.000)              0.0000              5.0000              2.2361
     Parameter 8~N(0.000,5.000)              0.0000              5.0000              2.2361
     Parameter 9~N(0.000,5.000)              0.0000              5.0000              2.2361


TECHNICAL 8 OUTPUT


   TECHNICAL 8 OUTPUT FOR BAYES ESTIMATION

     CHAIN    BSEED
     1        0
     2        285380

     REPLICATION 1:


                     POTENTIAL       PARAMETER WITH
     ITERATION    SCALE REDUCTION      HIGHEST PSR
     100              1.722               9
     200              1.371               2
     300              1.679               3
     400              2.169               3
     500              1.389               1
     600              1.131               1
     700              1.069               1
     800              1.011               2
     900              1.058               3
     1000             1.068               3
     1100             1.125               3
     1200             1.119               4
     1300             1.050               1
     1400             1.054               1
     1500             1.072               3
     1600             1.115               3
     1700             1.083               3
     1800             1.093               3
     1900             1.066               2
     2000             1.054               2


SAVEDATA INFORMATION

  Order of variables

    U1
    U2
    U3
    U4

  Save file
    ex6.27.dat

  Save file format           Free
  Save file record length    10000


     Beginning Time:  22:24:22
        Ending Time:  22:24:23
       Elapsed Time:  00:00:01



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