Details Example 2 for PROC GLM
/****************************************************************/
/* S A S S A M P L E L I B R A R Y */
/* */
/* NAME: GLMDE2 */
/* TITLE: Details Example 2 for PROC GLM */
/* PRODUCT: STAT */
/* SYSTEM: ALL */
/* KEYS: Effect size */
/* PROCS: GLM */
/* DATA: */
/* */
/* SUPPORT: sasrdt */
/* REF: PROC GLM, DETAILS EXAMPLE 2. */
/* MISC: */
/****************************************************************/
/* Effect Size Measures for F Tests in GLM ---------------------*/
data Test;
do Task = 1 to 7;
do Gender = 'M','F';
do i = 1 to 4;
input Response @@;
output;
end;
end;
end;
datalines;
7.1 2.8 3.9 3.7 6.5 6.5 6.5 6.6
7.1 5.5 4.8 2.6 3.6 5.4 5.6 4.5
7.2 4.6 4.9 4.6 3.3 5.4 2.8 1.5
5.6 6.2 5.4 6.5 5.6 2.7 3.8 2.3
2.2 5.4 5.6 8.4 1.2 2.0 4.3 4.6
9.1 4.5 7.6 4.9 4.3 7.7 6.5 7.7
4.5 3.8 5.9 6.1 1.7 2.5 4.3 2.7
;
proc glm data=Test;
class Gender Task;
model Response = Gender|Task / ss1;
run;
/* Same Analysis with EFFECTSIZE Option and ALPHA=0.1 ----------*/
proc glm data=Test;
class Gender Task;
model Response = Gender|Task / ss1 effectsize alpha=0.1;
run;