omega2.hlp.htm

-----------------
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