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lcbeck
Calcite | Level 5

I am SAS illiterate and trying to finish my thesis (our departmental statistician retired). Having trouble collecting all necessary data for a strip-split plot. I need to analyze all of the main factors and their interactions. Previously, I was getting a minimum significant difference. Can anyone tell me if I am fully analyzing the data?

Whole plot factor: treatment

Strip: mowing

Split: timing

Random: rep

Based on information I found online and previous codes, this is what I've come up with:

proc glm data = visual;

class rep timing trt mowing;

model visual = timing|trt|mowing;

by MAT;

random timing|trt|mowing|rep;

lsmeans timing|trt|mowing / pdiff adjust=BON cl lines;

run;

1 REPLY 1
SteveDenham
Jade | Level 19

Stop.  PROC GLM will not correctly calculate standard errors for split plot models.  Do whatever it takes to get a copy of Littell et al.'s SAS for Mixed Models, 2nd ed., and go to chapter 4 on split-plot models.  Also check out Chapter 16, which has case studies, especially 16.4 A Split-Plot Experiment with Correlated Whole Plots, 16.5 A Complex Split Plot: Whole Plot Conducted as an Incomplete Latin Square, and 16.6 A Complex Strip-Split-Split Plot Example.

Try rewriting your model using PROC MIXED.  If you have problems, please post your code and the problems you are having.

Good luck.

Steve Denham

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