Model Information	
Data Set	WORK.SUBJECTPQ_COMBINE	
Response Variable	CSprepQual2CAT	
Response Distribution	Binary	
Link Function	Logit	
Variance Function	Default	
Variance Matrix Blocked By	siteID	
Estimation Technique	Maximum Likelihood	
Likelihood Approximation	Gauss-Hermite Quadrature	
Degrees of Freedom Method	Containment	

Class Level Information	
Class	Levels	Values	
siteID	3	IA NC TX	

Number of Observations Read	2016	
Number of Observations Used	2016	

Response Profile	
Ordered
Value	CSprepQual2CAT	Total
Frequency	
1	0	119	
2	1	1897	
The GLIMMIX procedure is modeling the probability that CSprepQual2CAT='0'.	

Dimensions	
G-side Cov. Parameters	1	
Columns in X	1	
Columns in Z per Subject	1	
Subjects (Blocks in V)	3	
Max Obs per Subject	837	

Optimization Information	
Optimization Technique	Dual Quasi-Newton	
Parameters in Optimization	2	
Lower Boundaries	1	
Upper Boundaries	0	
Fixed Effects	Not Profiled	
Starting From	GLM estimates	
Quadrature Points	1	

Iteration History	
Iteration	Restarts	Evaluations	Objective
Function	Change	Max
Gradient	
0	0	4	886.48965162	.	4.701823	
1	0	3	886.03255821	0.45709341	1.51064	
2	0	3	885.99743899	0.03511922	0.922022	
3	0	2	885.96693581	0.03050318	0.39519	
4	0	2	885.96286966	0.00406615	0.046547	
5	0	2	885.96281029	0.00005937	0.001492	
6	0	3	885.96281025	0.00000004	0.000333	

Convergence criterion (GCONV=1E-8) satisfied.	

Fit Statistics	
-2 Log Likelihood	885.96	
AIC  (smaller is better)	889.96	
AICC (smaller is better)	889.97	
BIC  (smaller is better)	888.16	
CAIC (smaller is better)	890.16	
HQIC (smaller is better)	886.34	

Fit Statistics for Conditional Distribution	
-2 log L(CSprepQual2CAT | r. effects)	876.82	
Pearson Chi-Square	1971.50	
Pearson Chi-Square / DF	0.98	

Covariance Parameter Estimates	
Cov Parm	Subject	Estimate	Standard
Error	Z Value	Pr > Z	
Intercept	siteID	0.2689	0.2574	1.04	0.1481	

Solutions for Fixed Effects	
Effect	Estimate	Standard
Error	DF	t Value	Pr > |t|	
Intercept	-2.9904	0.3247	2	-9.21	0.0116	

Tests of Covariance Parameters
Based on the Likelihood	
Label	DF	-2 Log Like	ChiSq	Pr > ChiSq	Note	
No G-side effects	1	904.31	18.35	<.0001	MI	

MI: P-value based on a mixture of chi-squares.