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      name:  <unnamed>
       log:  Q:\C-modelling\runmlwin\website\logfiles\2020-03-27\16\5.5.smcl
  log type:  smcl
 opened on:  27 Mar 2020, 18:21:48

. ****************************************************************************
. * Module 5: Introduction to Multilevel Modelling Stata Practicals
. *
. *     P5.5: Complex Level 1 Variation
. *
. *           George Leckie
. *           Centre for Multilevel Modelling, 2010
. ****************************************************************************
. *     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/5.5.dta", clear

. 
. 
. 
. * P5.5.2 Within-school variance a function of gender (dichotomous X)
. 
. gen male = 1 - female

. 
. runmlwin score cons cohort90 female sclass1 sclass2 sclass4 ///
>         schtype schurban cohort90Xschtype, ///
>         level2(schoolid: cons cohort90) ///
>         level1(caseid: male female, diagonal) ///
>         nopause
 
MLwiN 3.05 multilevel model                     Number of obs      =     33988
Normal response model (hierarchical)
Estimation algorithm: IGLS

-----------------------------------------------------------
                |   No. of       Observations per Group
 Level Variable |   Groups    Minimum    Average    Maximum
----------------+------------------------------------------
       schoolid |      508          1       66.9        190
-----------------------------------------------------------

Run time (seconds)   =       1.34
Number of iterations =          7
Log likelihood       = -138303.77
Deviance             =  276607.54
------------------------------------------------------------------------------
       score |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        cons |    25.1951    .431889   58.34    0.000     24.34861    26.04158
    cohort90 |   1.215711   .0243581   49.91    0.000      1.16797    1.263452
      female |   1.969525   .1544567   12.75    0.000     1.666796    2.272255
     sclass1 |   11.01912   .2067111   53.31    0.000     10.61397    11.42427
     sclass2 |    5.83534   .2039754   28.61    0.000     5.435556    6.235125
     sclass4 |  -3.765815   .2843592  -13.24    0.000    -4.323149   -3.208482
     schtype |   5.311828    .829912    6.40    0.000      3.68523    6.938425
    schurban |  -1.413422   .4819941   -2.93    0.003    -2.358114   -.4687312
cohort90Xs~e |  -.5928781   .1036467   -5.72    0.000    -.7960219   -.3897343
------------------------------------------------------------------------------

------------------------------------------------------------------------------
   Random-effects Parameters |   Estimate   Std. Err.     [95% Conf. Interval]
-----------------------------+------------------------------------------------
Level 2: schoolid            |
                   var(cons) |   20.37349   1.572667      17.29112    23.45586
          cov(cons,cohort90) |  -.4010763    .114824     -.6261273   -.1760253
               var(cohort90) |   .1370188   .0161888      .1052893    .1687483
-----------------------------+------------------------------------------------
Level 1: caseid              |
                 var(female) |   186.8748   2.005443      182.9442    190.8054
                   var(male) |   199.5683   2.262202      195.1345    204.0022
------------------------------------------------------------------------------

. 
end of do-file