




Hello,
 
according to a couple of PDFs and webpages in came up with this aov() <- lme() conversion:

 
> anova(lme(Hits~NumEyesUsed, random=~1|PersonID/NumEyesUsed,data=y))
 
            numDF denDF  F-value p-value(Intercept)     1    36 56.06667  <.0001NumEyesUsed     1     1  3.26667  0.3217

--- AND ---


> summary(aov(Hits~NumEyesUsed+Error(PersonID/NumEyesUsed),data=y))Error: PersonID
          Df     Sum Sq    Mean Sq F value Pr(>F)Residuals  1 1.7514e-33 1.7514e-33               
Error: PersonID:NumEyesUsed
           Df Sum Sq Mean Sq F value Pr(>F)
NumEyesUsed 1    4.9     4.9   12.25 0.1772
Residuals   1    0.4     0.4               
Error: Within          Df Sum Sq Mean Sq F value Pr(>F)
Residuals 36   56.6  1.5722   



In this study each person is allowed try ten times with one eye and then ten times with two eyes to score hits. 
The question is if there is a difference in hits between using one or two eyes.

I get different p-values in my aov() <- lme() conversion, which one answers the question more closely?

Thanks,

Brian

 		 	   		  
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