----------------- help for omega2 -----------------

Compute omega squared ----------------------

omega2 [term [, errorterm] ]

Description -----------

omega2 computes the omega squared measure of strength of association. It is used after first running anova. When used with a single factor design no arguments are necessary. When used with a multifactor design the factor of interest in the model needs to be included. An error term for the effect is optional.

Interpretation -------------- omega2 = .01 is a small association omega2 = .06 is a medium association omega2 = .14 is a large association fhat = .10 is a small effect fhat = .25 is a medium effect fhat = .40 is a large effect

Examples --------

. anova y a . omega2 . anova y a b a*b . omega2 a*b . omega2 b / a*b

Author ------

Philip B. Ender Statistical Computing and Consulting UCLA Academic Technology Services enderatucla.edu

Also see --------

On-line: help for anova