GESS

The GESS Analysis of Variance (GLM) procedure can be used to obtain false discovery rate or experiment-wise error rate (Bonferroni) adjusted P-values for single- and multiple-factor experimental designs. Up to ten factors including interactions may be specified. The designs may involve fixed, random, and/or nested factors with optional covariates. Common designs that may be analyzed using this procedure are Completely Randomized, Randomized Complete Block, Analysis of Covariance, Latin Square, Fractional Factorial, and Incomplete Block Designs. Repeated Measures Designs and Split-Plot designs may also be analyzed with the procedure, but a separate procedure has been devoted to Repeated Measures Designs.

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Minimum System Requirements
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PASS 11
PASS 2008
NCSS 2007
Previous Versions

Accuracy
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