I have a bunch of electrophysiological measurements from cells recorded from multiple animals from two different genotypes - (WT and mutant).
I stratified my groups further by morphology of the cells into two broad categories 1 and 2- (WT_1, WT_2, MUT_1, and MUT_2).
I want to ask the following questions for each electrophysiological property measured:
1. Is there a difference between WT_1 and WT_2
2. Is there a difference between MUT_1 and MUT_2
3. Is there a difference between WT_1 and MUT_1
4. Is there a difference between WT_2 and MUT_2
Do I run multiple t-tests for each measurement between the relevant comparisons? If so, what kind of correction is needed/appropriate?
Or do I run a 2-way ANOVA with or without correction for multiple comparisons?
Add. info that might be useful:
The data are normally distributed.
There are multiple cells recorded from the same animal.
Definitely ANOVA and if the overall p is < 0.05, only then do you run multiple post hoc comparisons. Multiple t tests ignore interactions and introduce type 1 errors :)
- Badges
- Science topic