Marla G. answered 10/21/21
Senior Statistician with 13+ years Experience in R&D Pharmaceuticals
I realize it too late for you to do this now, but you should now for the future that the first step in ANY statistical analysis of data is to:
Step 1: Define the question, problem, etc. you are trying to answer by the analysis. Alternatively: "What the question you want to answer by doing the research, or study?
Step 2: Once you have that, you do some research of the literature to see what (if anything) has already been done to get ideas of endpoints that can be used to answer your question. You want to find an endpoint that actually measures what it's supposed to, is sensitive and reproducible.
Step 3: Only then you can be smart about the study design.
Step 4: The appropriate analysis is primarily driven by the study design.
Unfortunately, the design you describe is not simple or straight forward, and I have many questions about the dataset you're working with for your project: I need more details to provide a good recommendation.
What's you criteria for selecting 12 of the 15 people you screen?
Are there any criteria that need to be met before you screen someone?
Do you have 6 endpoints for all 3 sensors, for a total of 18 endpoints!
By the way, you might want to collect whether the subject is right or left-legged (similar to handedness, one side is likely weaker to start), so that's a variable you'd want to be able to control for.
It's unclear what the 'screening portion' is doing.
Best I can tell, you have screening data for 15 people, somehow 12 are selected & then divided into 2 groups of 6 people, 1 group does a 6 wk exercise program (details of this program?), then both groups do the same thing as they did in the 'screening' process, so you're interested in any change in muscle strength
(last (screening)measurement- 'actually' screening measurement) between the 2 groups? Or is it the sensors that you want to know about?
That's a lot of "food for thought " for you, that's all I can tell you.
Good Luck!