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: HLM2.EXE (6.04.2754.2)
Date: 11 May 2007, Friday
Time: 12:29:37
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SPECIFICATIONS FOR THIS HLM2 RUN
Problem Title: no title
The data source for this run = D:workhlm_testsseminar.mdm
The command file for this run = whlmtemp.hlm
Output file name = D:workhlm_testshlm2.txt
The maximum number of level-1 units = 7185
The maximum number of level-2 units = 160
The maximum number of iterations = 100
Method of estimation: restricted maximum likelihood
Weighting Specification
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Weight
Variable
Weighting? Name Normalized?
Level 1 no
Level 2 no
Precision no
The outcome variable is MATHACH
The model specified for the fixed effects was:
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Level-1 Level-2
Coefficients Predictors
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INTRCPT1, B0 INTRCPT2, G00
The model specified for the covariance components was:
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Sigma squared (constant across level-2 units)
Tau dimensions
INTRCPT1
Summary of the model specified (in equation format)
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Level-1 Model
Y = B0 + R
Level-2 Model
B0 = G00 + U0
Iterations stopped due to small change in likelihood function
******* ITERATION 4 *******
Sigma_squared = 39.14831
Tau
INTRCPT1,B0 8.61431
Tau (as correlations)
INTRCPT1,B0 1.000
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Random level-1 coefficient Reliability estimate
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INTRCPT1, B0 0.901
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The value of the likelihood function at iteration 4 = -2.355840E+004
The outcome variable is MATHACH
Final estimation of fixed effects:
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Standard Approx.
Fixed Effect Coefficient Error T-ratio d.f. P-value
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For INTRCPT1, B0
INTRCPT2, G00 12.636972 0.244412 51.704 159 0.000
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The outcome variable is MATHACH
Final estimation of fixed effects
(with robust standard errors)
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Standard Approx.
Fixed Effect Coefficient Error T-ratio d.f. P-value
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For INTRCPT1, B0
INTRCPT2, G00 12.636972 0.243628 51.870 159 0.000
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Final estimation of variance components:
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Random Effect Standard Variance df Chi-square P-value
Deviation Component
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INTRCPT1, U0 2.93501 8.61431 159 1660.23259 0.000
level-1, R 6.25686 39.14831
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Statistics for current covariance components model
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Deviance = 47116.793477
Number of estimated parameters = 2