Research leads me to beleive that what I'm looking for is a test of 'simple main effects' - that is, testing for a significant differences across one factor within each level of the other factor. For example, in my 2-Way ANOVA, I have a sex*condition interaction, but no significant main effects. If I run a 'simple main effects' test, this tests for significant differences across cond within each level of sex - in other words, whether males differ across condition and whether females differ across condition.
Does this sound correct? The output makes sense - the steeper line in the interaction plot is males, and in the simple main effects test, males but not females come out to significantly differ across condition.
In what way is a 'simple main effects' test different from doing a t-test for each sex across condition?