Program:                       HLM 6 Hierarchical Linear and Nonlinear Modeling
 Authors:                       Stephen Raudenbush, Tony Bryk, & Richard Congdon
 Publisher:                     Scientific Software International, Inc. (c) 2000
                                                      techsupport@ssicentral.com
                                                              www.ssicentral.com
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 Module:      HMLM2.EXE (6.03.26284.1)
 Date:        27 October 2007, Saturday
 Time:        20: 1:50
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 SPECIFICATIONS FOR THIS HMLM2 RUN


  Problem Title: no title

  The data source for this run  = c10
  The command file for this run = C:\Documents and Settings\HuskyPC\Desktop\c10.hlm
  Output file name              = C:\Documents and Settings\HuskyPC\Desktop\hmlm2.txt
  The maximum number of level-2 units = 624
  The maximum number of level-3 units = 208
  The maximum number of iterations = 100

  The outcome variable is  OUTCOME    

  The model specified for the fixed effects was:
 ----------------------------------------------------

   Level-1                Level-2           Level-3
 ---------------------  ---------------   ----------------
  FOCALCOD slope, P1      INTRCPT2, B10    INTRCPT3, G100
  PARTCODE slope, P2      INTRCPT2, B20    INTRCPT3, G200

 OUTPUT FOR UNRESTRICTED MODEL



 Summary of the model specified (in equation format)
 ---------------------------------------------------

Level-1 Model

	Y = FOCALCOD*Y1* + PARTCODE*Y2*
	Y* = P1*(FOCALCOD) + P2*(PARTCODE) 

Level-2 Model

        P1 = B10 + u1
        P2 = B20 + u2


Level-3 Model

        B10 = G100 + U1
        B20 = G200 + U2


Var(u) = D
 The outcome variable is  OUTCOME

 Estimation of fixed effects
(Based on starting values of covariance components)
 ----------------------------------------------------------------------------
                                      Standard             Approx.
    Fixed Effect        Coefficient   Error      T-ratio   d.f.     P-value
 ----------------------------------------------------------------------------
 For FOCALCOD slope, P1
    For INTRCPT2, B10
      INTRCPT3, G100       1.698269   0.040032    42.423       207    0.000
 For PARTCODE slope, P2
    For INTRCPT2, B20
      INTRCPT3, G200       1.807695   0.040032    45.156       207    0.000


D(0)
 FOCALCOD,P1      0.36616      0.07682 
 PARTCODE,P2      0.07682      0.28210 


Tau(beta)(0)
 FOCALCOD     PARTCODE    
 INTRCPT2,B10 INTRCPT2,B20
    0.24280      0.11658  
    0.11658      0.34778  

Iterations stopped due to small change in likelihood function
******* ITERATION 12 *******


D
 FOCALCOD,P1      0.54923      0.11523 
 PARTCODE,P2      0.11523      0.42316 


Standard Errors of D
 FOCALCOD,P1      0.03808      0.02430 
 PARTCODE,P2      0.02430      0.02934 


D (as correlations)
 FOCALCOD,P1  1.000  0.239
 PARTCODE,P2  0.239  1.000

Tau(beta)
 FOCALCOD     PARTCODE    
 INTRCPT2,B10 INTRCPT2,B20
    0.05973      0.07816  
    0.07816      0.20673  

Standard Errors of Tau(beta)
 FOCALCOD     PARTCODE    
 INTRCPT2,B10 INTRCPT2,B20
    0.02698      0.02317  
    0.02317      0.03548  

Tau(beta) (as correlations)
 FOCALCOD/INTRCPT2,B10  1.000  0.703
 PARTCODE/INTRCPT2,B20  0.703  1.000

The value of the likelihood function at iteration 12 = -1.408283E+003
 The outcome variable is  OUTCOME

 Final estimation of fixed effects:
 ----------------------------------------------------------------------------
                                      Standard             Approx.
    Fixed Effect        Coefficient   Error      T-ratio   d.f.     P-value
 ----------------------------------------------------------------------------
 For FOCALCOD slope, P1
    For INTRCPT2, B10
      INTRCPT3, G100       1.698269   0.034166    49.706       207    0.000
 For PARTCODE slope, P2
    For INTRCPT2, B20
      INTRCPT3, G200       1.807695   0.040890    44.208       207    0.000



 Statistics for current covariance components model
 --------------------------------------------------
 Deviance =   2816.56528
 Number of estimated parameters =    8