how to do mixed design anova in spss version 25

I don't know how SPSS works, but if you have a significant 2-way interaction, then you should be able to do 'simple effects' testing to determine what condition or electrode the treatment effect differed. However, if you do want to test the 3 way interaction (does the treatment have a different effect depending upon the condition and does this vary with electrode) then you must do the full 3-way analysis. You could even adjust the hypotheses for the fact that you ran two tests 'not knowing where the effect would be.' However, if the two placements were used based on some hypothesis, then you could justify not adjusting. If they test for the same thing, but induce a pseudo-condition by the way they are conducted, then you could justify a full-factorial design.Ĭ: A very reasonable approach would be to analyse each electrode separately as a 2-way ANOVA. If they test for different things, then they should be analysed separately. But I can also give some recommendations:Ī and B: I don't think it would be a good idea to run an ANOVA with different tests or questionnaires unless they ask the same thing with a different purpose.

I think the choice to use a full factorial or separate tests depends mostly on what is common practice in your field. I am aware that it is a lot, but hope you might be so kind to help me!! May I do post hoc tests if there is no three-way interaction, but only two-way?Īnd when I do any of these, SPSS refuses to do post-hoc tests ('there are not more than two groups'), so do I use independent t tests for any significant interactions? Or would that yield an alpha-error accumulation?

With condition as within and group as between factors. May I concider each electrode seperately to run a two-way mixed design ANOVA The three-way mixed design ANOVA (2x2x2)? If I was to concider 2 electrodes (since I do not know where exactly to expect the effects) and have 2 conditions (A and B) in two groups (treated vs control) do I choose Should I use two-way ANOVAs for each test (values as within, group as between factor)?

I can use for each test (1 and 2) either independent t tests (for normally distributed values) or Mann-Whitney U test (for not normally distributed values), with p-values corrected (Sidak) The question is, whether the groups differ, and if, where exactly. It consists ofī) questionnaires (metric scores were derived, so Q1, Q2, Q3.)Ĭ) EEG-experiment with a test with two conditions within it (A and B) So imagine there is an experiment to test a treatment and a control group. Would you please cross-validate ) my statistical proceedure and help me solve a huge problem (see c)? I am desperately hoping for your quick help.

How to do mixed design anova in spss version 25