-------------------------------------------------------------------------------
      name:  <unnamed>
       log:  Q:\C-modelling\runmlwin\website\logfiles\2024-10-11\18\12.3.smcl
  log type:  smcl
 opened on:  11 Oct 2024, 18:43:25

. ****************************************************************************
. * Module 12: Cross-Classified Models - Stata Practical
. *
. *     P12.3: An Alternative Parameterisation
. *
. *            George Leckie
. *            Centre for Multilevel Modelling, 2011
. ****************************************************************************
. *     Stata do-file to replicate all analyses using runmlwin
. *
. *     George Leckie
. *     Centre for Multilevel Modelling, 2013
. *     http://www.bristol.ac.uk/cmm/software/runmlwin/
. ****************************************************************************
. 
. use "http://www.bristol.ac.uk/cmm/media/runmlwin/12.3.dta", clear

. 
. xtmixed attain || _all: R.neighid  || schid:, mle variance

Performing EM optimization: 

Performing gradient-based optimization: 

Iteration 0:  Log likelihood = -3178.3841  
Iteration 1:  Log likelihood = -3178.3557  
Iteration 2:  Log likelihood = -3178.3557  

Computing standard errors:

Mixed-effects ML regression                              Number of obs = 2,310

        Grouping information
        -------------------------------------------------------------
                        |     No. of       Observations per group
         Group variable |     groups    Minimum    Average    Maximum
        ----------------+--------------------------------------------
                   _all |          1      2,310    2,310.0      2,310
                  schid |         17         22      135.9        286
        -------------------------------------------------------------

                                                         Wald chi2(0)  =     .
Log likelihood = -3178.3557                              Prob > chi2   =     .

-------------------------------------------------------------------------------
-
        attain | Coefficient  Std. err.      z    P>|z|     [95% conf. interval
> ]
---------------+---------------------------------------------------------------
-
         _cons |   .0753532   .0722216     1.04   0.297    -.0661987     .21690
> 5
-------------------------------------------------------------------------------
-

------------------------------------------------------------------------------
  Random-effects parameters  |   Estimate   Std. err.     [95% conf. interval]
-----------------------------+------------------------------------------------
_all: Identity               |
              var(R.neighid) |   .1412201   .0218651       .104257     .191288
-----------------------------+------------------------------------------------
schid: Identity              |
                  var(_cons) |    .075445   .0316491      .0331553    .1716755
-----------------------------+------------------------------------------------
               var(Residual) |   .7990182   .0263652      .7489788    .8524007
------------------------------------------------------------------------------
LR test vs. linear model: chi2(2) = 207.44                Prob > chi2 = 0.0000

Note: LR test is conservative and provided only for reference.

. 
. estimates store model2

. 
end of do-file