The SAS System The GLM Procedure Class Level Information Class Levels Values batch 6 1 2 3 4 5 6 group 12 1 2 3 4 5 6 7 8 9 10 11 12 Number of Observations Read 36 Number of Observations Used 36 The SAS System The GLM Procedure Dependent Variable: pandev Sum of Source DF Squares Mean Square F Value Pr > F Model 11 376.5163889 34.2287626 13.24 <.0001 Error 24 62.0533333 2.5855556 Corrected Total 35 438.5697222 R-Square Coeff Var Root MSE pandev Mean 0.858510 293.8416 1.607966 0.547222 Source DF Type I SS Mean Square F Value Pr > F batch 5 347.9047222 69.5809444 26.91 <.0001 group(batch) 6 28.6116667 4.7686111 1.84 0.1327 Source DF Type III SS Mean Square F Value Pr > F batch 5 347.9047222 69.5809444 26.91 <.0001 group(batch) 6 28.6116667 4.7686111 1.84 0.1327 Tests of Hypotheses Using the Type III MS for group(batch) as an Error Term Source DF Type III SS Mean Square F Value Pr > F batch 5 347.9047222 69.5809444 14.59 0.0026 The SAS System The Mixed Procedure Model Information Data Set WORK.SHEET Dependent Variable pandev Covariance Structure Variance Components Estimation Method REML Residual Variance Method Profile Fixed Effects SE Method Model-Based Degrees of Freedom Method Containment Class Level Information Class Levels Values batch 6 1 2 3 4 5 6 group 12 1 2 3 4 5 6 7 8 9 10 11 12 Dimensions Covariance Parameters 3 Columns in X 1 Columns in Z 18 Subjects 1 Max Obs Per Subject 36 Number of Observations Number of Observations Read 36 Number of Observations Used 36 Number of Observations Not Used 0 Iteration History Iteration Evaluations -2 Res Log Like Criterion 0 1 191.39519214 1 1 156.29257012 0.00000000 Convergence criteria met. The SAS System The Mixed Procedure Covariance Parameter Estimates Cov Parm Estimate batch 10.8021 group(batch) 0.7277 Residual 2.5856 Fit Statistics -2 Res Log Likelihood 156.3 AIC (smaller is better) 162.3 AICC (smaller is better) 163.1 BIC (smaller is better) 161.7