yeah. 2 sample t-test can take care the unequal sample size issue.
but then do we have to be carefully choosing a proper "error term" since we are now looking at each 2nd order contrast independently?
correct me if i am wrong. for a three-factor type 5 design, BXC(A), in 3dANOVA3, the error terms for the 2nd order contrasts are the followings:
factorB@levelA1 has an error term of MSBC(A)
factorB@levelA2 also has an error term of MSBC(A)
factorA@levelB1 has an error term of the pooled variance of MSBC(A) and MSC(A)
factorA@levelB2 also has an error term of the pooled variance of MSBC(A) and MSC(A)
I am not too sure if the 2 sample t-test will be able to give me reasonable results because of the error issue that I am concerned about.
Thanks for any feedbacks
Cheers,
Ricky