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HLM Textbook Examples
Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence
by Judith D. Singer and John B. Willett
Chapter 3: Introducing the Multilevel Model for Change

Please note that the "early_int" data file (which is used in Chapter 3) is not included among the data files. This was done at the request of the researcher who contributed this data file to ensure the privacy of the participants in the study. Although the web page shows how to obtain the results with this data file, we regret that visitors do not have access to this file to be able to replicate the results for themselves.


Table 3.3, page 69

Most of the material in this chapter can not be reproduced in HLM since they are descriptive rather than random effect models. The last model using early.SSM is run in HLM and notice that it takes HLM many iterations to converge and the starting variance-covariance matrix matches with SAS's result.  

 STARTING VALUES
 ---------------
sigma(0)_squared =     76.61976
 Tau(0)
 INTRCPT1,B0    121.70149     -31.89337 
     TIME,B1    -31.89337       2.72259 
 New Tau(0)
 INTRCPT1,B0     37.11026       0.00000 
     TIME,B1      0.00000      31.19242 
 Estimation of fixed effects
(Based on starting values of covariance components)
 ----------------------------------------------------------------------------
                                       Standard             Approx.
    Fixed Effect         Coefficient   Error      T-ratio   d.f.     P-value
 ----------------------------------------------------------------------------
 For       INTRCPT1, B0
    INTRCPT2, G00         107.840741   1.497851    71.997       101    0.000
     PROGRAM, G01           6.854662   1.996058     3.434       101    0.001
 For     TIME slope, B1
    INTRCPT2, G10         -21.133333   2.024472   -10.439       101    0.000
     PROGRAM, G11           5.271264   2.697841     1.954       101    0.050
 ----------------------------------------------------------------------------
The value of the likelihood function at iteration 1 = -1.200375E+003
The value of the likelihood function at iteration 1492 = -1.184073E+003
Iterations stopped due to small change in likelihood function
******* ITERATION 1493 *******
 Sigma_squared =     74.24046
 Standard Error of Sigma_squared =     10.34516
 Tau
 INTRCPT1,B0    124.63517     -36.41152 
     TIME,B1    -36.41152      12.29264 
 Standard Errors of Tau
 INTRCPT1,B0     27.38103      22.73780 
     TIME,B1     22.73780      30.49581 
Tau (as correlations)
 INTRCPT1,B0  1.000 -0.930
     TIME,B1 -0.930  1.000
 ----------------------------------------------------
  Random level-1 coefficient   Reliability estimate
 ----------------------------------------------------
  INTRCPT1, B0                        0.668
      TIME, B1                        0.076
 ----------------------------------------------------
The value of the likelihood function at iteration 1493 = -1.184073E+003

 Final estimation of fixed effects:
 ----------------------------------------------------------------------------
                                       Standard             Approx.
    Fixed Effect         Coefficient   Error      T-ratio   d.f.     P-value
 ----------------------------------------------------------------------------
 For       INTRCPT1, B0
    INTRCPT2, G00         107.840741   2.035807    52.972       101    0.000
     PROGRAM, G01           6.854662   2.712946     2.527       101    0.012
 For     TIME slope, B1
    INTRCPT2, G10         -21.133333   1.890177   -11.181       101    0.000
     PROGRAM, G11           5.271264   2.518878     2.093       101    0.036
 ----------------------------------------------------------------------------
 Final estimation of fixed effects
 (with robust standard errors)
 ----------------------------------------------------------------------------
                                       Standard             Approx.
    Fixed Effect         Coefficient   Error      T-ratio   d.f.     P-value
 ----------------------------------------------------------------------------
 For       INTRCPT1, B0
    INTRCPT2, G00         107.840741   1.793931    60.114       101    0.000
     PROGRAM, G01           6.854662   2.638604     2.598       101    0.010
 For     TIME slope, B1
    INTRCPT2, G10         -21.133333   1.583433   -13.347       101    0.000
     PROGRAM, G11           5.271264   2.402765     2.194       101    0.028
 ----------------------------------------------------------------------------
 Final estimation of variance components:
 -----------------------------------------------------------------------------
 Random Effect           Standard      Variance     df    Chi-square  P-value
                         Deviation     Component
 -----------------------------------------------------------------------------
 INTRCPT1,       U0       11.16401     124.63517   101     308.91699    0.000
     TIME slope, U1        3.50609      12.29264   101     108.18963    0.294
  level-1,       R         8.61629      74.24046
 -----------------------------------------------------------------------------
 Statistics for current covariance components model
 --------------------------------------------------
 Deviance                       = 2368.146438
 Number of estimated parameters = 8

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