Program: HLM 7 Hierarchical Linear and Nonlinear Modeling
Authors: Stephen Raudenbush, Tony Bryk, & Richard Congdon
Publisher: Scientific Software International, Inc. (c) 2010
techsupport@ssicentral.com
www.ssicentral.com

Module: HLM2S.EXE (7.01.21202.1001)
Date: 17 November 2016, Thursday
Time: 22:23:34



Specifications for this HLM2 run

Problem Title: no title

The data source for this run = C:\Users\19702\Documents\(01) Proposals\(00) modeling and power analysis\(01) HLM experiment\kaz
The command file for this run = C:\Users\19702\AppData\Local\Temp\whlmtemp.hlm
Output file name = C:\Users\19702\Documents\(01) Proposals\(00) modeling and power analysis\(01) HLM experiment\hlm2.html
The maximum number of level-1 units = 819
The maximum number of level-2 units = 126
The maximum number of iterations = 100

Method of estimation: restricted maximum likelihood

The outcome variable is POSTTEST

Summary of the model specified

Level-1 Model

    POSTTESTij = β0j + rij

Level-2 Model

    β0j = γ00 + γ01*(URBAN_LEj) + u0j

Mixed Model

    POSTTESTij = γ00 + γ01*URBAN_LEj  + u0j+ rij

Final Results - Iteration 6

Iterations stopped due to small change in likelihood function

σ2 = 70.39334

τ
INTRCPT1,β0     14.20678

Random level-1 coefficient   Reliability estimate
INTRCPT1,β00.501
The value of the log-likelihood function at iteration 6 = -2.949395E+003

Final estimation of fixed effects:

Fixed Effect  Coefficient  Standard
error		  t-ratio  Approx.
d.f.		  p-value
For INTRCPT1, β0
    INTRCPT2, γ00 52.643459 0.545306 96.539 124 <0.001
    URBAN_LE, γ01 -0.449983 1.107038 -0.406 124 0.685

Final estimation of fixed effects
(with robust standard errors)

Fixed Effect  Coefficient  Standard
error		  t-ratio  Approx.
d.f.		  p-value
For INTRCPT1, β0
    INTRCPT2, γ00 52.643459 0.526140 100.056 124 <0.001
    URBAN_LE, γ01 -0.449983 1.157920 -0.389 124 0.698

Final estimation of variance components

Random Effect Standard
 Deviation		 Variance
 Component		   d.f. χ2 p-value
INTRCPT1, u0 3.76919 14.20678 124 292.48068<0.001
level-1, r 8.39007 70.39334   

Statistics for current covariance components model

Deviance = 5898.789980
Number of estimated parameters = 2