I have received the reviews for a paper I wrote where I have a rather complex design. But for my question I explain only the relevant bit. In a between participants design, I present participants with one of two scenarios (hedonic vs. utilitarian goal).

As the classification was not previously used, I did a manipulation check measuring participants' judgments on five differential semantic scales assessing the hedonic/utilitarian dimension.

As the Cronbach's alpha was high (.89) I averaged them in a single measure. Then I did a t-test to check if there was (the expected) difference between the two groups (i.e. those reading the hedonic scenario and those reading the utilitarian one).

Two reviewers criticized the use of student t-test, one stating "this is not a suitable action, why not F? please correct", the other stating "a t-test is not suitable for statistical analysis, eg. it does not evaluate the presence of interaction, seek a statistician's advice"

I am 99% positive (but would like feedeback) that:

- a t-test and a one way anova with two groups are exactly the same

- a t-test is appropriate to do a manipulation check to test the difference between two groups.

Am I wrong?

Thank you