Repeated measure 1 way anova with two different groups and same intervention

Hi there,

On youtube I find plenty of videos explaining a repeated measure one way anova in SPSS. This design is for 1 group with 1 intervention with measurement before during and after the intervention.

Im looking for a repeated measure anova for two different groups with the same intervention given.

Repeated measure two way anova does not work because with two way anova you have two factors while I only have 1 dependent variable.

Factorial repeated measure anova (split plot or mixed between-within subjects) also does not work because with my research both groups undergo the same intervention.

Can someone please help?

Thanks!

I'm afraid I'm finding it hard to see what your question is. Tell you what, try things the other way around and describe the problem that you are trying to analyse: what's the scientific question and what is the data that you have available?

I'm afraid I'm finding it hard to see what your question is. Tell you what, try things the other way around and describe the problem that you are trying to analyse: what's the scientific question and what is the data that you have available?

Do you think if you consider the rehabilitation a control variable that this may ease the confusion a bit? By definition, an independent factor needs to have more than one level, which this does not. Am I right in thinking that you're not concerned if the program works per se, but whether the patient group and when they take the questionnaire will have an effect on the effectiveness of the program?

Do you think if you consider the rehabilitation a control variable that this may ease the confusion a bit? By definition, an independent factor needs to have more than one level, which this does not. Am I right in thinking that you're not concerned if the program works per se, but whether the patient group and when they take the questionnaire will have an effect on the effectiveness of the program?

Indeed, the intervention is not an independent variable.
When they take the questionnaire will definitely have an impact on the effectiveness, we planned to do it at 0,2,4 and 6 weeks.
The hypothesis is that the group with the intact cable will have beter results, which study design or test to use is currently our problem we have to solve!

We want to prove group A benifts more (better score on the survey) after the rehab program than group B.

I must admit that this is one of those times where I would be inclined to make the analysis as simple as possible. You basically have a baseline measure on your subjects and you then have measurements while they are being treated and then after they are treated. It sounds to me that you may have a primary scientific question ("is there a difference between groups after treatment?" and a secondary scientific question ("is there a difference between groups during treatment?" rather than a single compound question. (What would that compound question be?)

With such a limited longitudinal aspect to the study, only three measurements per subject, you're hardly in a position to analyse the trajectories of subjects through the treatment.

So, perhaps the strategy should be to perform two analyses, one each for primary and secondary question. Simple linear regression (with, perhaps, a pre-transformation of the outcome variable if appropriate) where the outcome is the questionnaire score and the explanatory variables are baseline questionnaire score and subject group.