I found a significant four-way interaction in my mixed model 5-ways ANOVA (analysis of ERP data, 2*2*2*3*2).

My variables are:

  • Within-subject factors: magnitude of outcome (big, small), likelihood of outcome(high, low), valence of outcome (gain, loss), electrode
    (Fz, Cz, Pz)
  • Between-subject factors: group (group 1, group 2)

Interaction is magnitude * likelihood * valence * electrode

I will try to disentangle this interaction by analysing factor levels of my data set separately, similar to https://stats.stackexchange.com/a/73064/132815

I have two questions regarding this process:

  1. I wonder, whether there is need to correct for multiple comparisons, if I do more than 2 ANOVAs? For example, Bonferonni or FDR correction?

  2. Naïve question: is there any special name for this kind of procedure?

Thanks in advance!


Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Browse other questions tagged or ask your own question.