I'm a PhD student, in my final 8 weeks so am desperate for some help!

I'm planning to run a 3 x 2 ANOVA on some of my data. The DV (correct responses) is skewed in about half of the conditions. I transformed those conditions using Log10, adding a constant of 1 (because the data includes 0 values). Should I also transform the rest of the condition's data? I am thinking that by adding the constant I will be exaggerating any differences if I don't transform the rest, or at least add + 1 to all conditions?

Also, when I've transformed the outcomes, some are still marginally out of range for skew (1.165). Could I still proceed and argue that it is not THAT skewed?

I've seen some people suggesting plotting the Q-Q values for the residuals, but I don't know how to do that. If I need to do this, does anyone know how? Also, is there a way to do this in one go so I can see if the residuals are normally distributed?

I really hope that you can help me! I have 6 papers to write up all following a similar format, so am just trying to make sure I am doing it right before I analyse and write up the rest of the results sections.