Help a brother out
Hi all,
Long time user (a while back), first time poster!
Having some issues with my JASP stats analysis as apart of my MSc dissertation.
I completed a pre and post intervention test on 11 subjects who all completed the same intervention. The assessment (TMG = Tensiomyography, assesses muscle contractile properties) is on 3 muscle groups across both limbs (totalling 6 sites) and I assessed 2 metrics (contraction time & displacement, well technically 3 I then looked at the inter-limb symmetry but don't think I need to do stats analysis for that).
Couple questions if I may...
- Is this a repeated-measures within subjects design test?
- How do I organise my data in the spreadsheet that's easiest for analysing (what rows/columns should I have)?
- What test will I use to assess if there was a significant difference?
Yes I have emailed my lecturers, no I don't hold too much faith in a speedy response...
To the good guys out there, please help!
JNL
Comments
Hello JNL,
EJ
Hey EJ,
Thanks for your prompt reply and apologies for my delayed one whilst I was locking in.
Appreciate your help and got lucky with an emergency tutor call which saved my bacon!
Results out next week...
All the very best,
JNP Over and OUT
Hey EJ,
Thanks for your prompt reply and apologies for my delayed one whilst I was locking in.
Appreciate your help and got lucky with an emergency tutor call which saved my bacon!
Results out next week...
All the very best,
JNP Over and OUT
Was there any specific technique (beyond Bayesian analysis) or approach you used to address the low statistical power inherent with $N=11$ and multiple conditions? For example, did you focus only on the main interaction, or were you able to collapse any sites?
Regards, null's brawl