Hi statman & forum.
Thanks for ur fast replies.
Sorry for the short description.
This is the case.
We let people circumvent an obstacle in 4 different conditions, and observed the circumvention strategy.
We did see 3 strategies. Cross-step / semicross-step / side-step.
We have repeated every conditions untill we had 4 circumventions per condition.
So in total its for example (for 1 subject)
Condition 1: cross(C) C C sideway(SW) | Condition 2: C SW SW Semi-cross(SC) | Condition3: SW SW SW C | Condition 4: SW SW SC SC
we did this for 21 subjects total. So actually we have 16 variables. Condition 1-trial1, condition1-trial2, con3-trial3, con4-tr4 then con2-trial1, con2-trial2 etc.
We defined in SPSS C=1, SC=2, SW=3. as outcome of these variables.
Now we want to see if the conditions(con1 con2 con3 con4) make significant difference on the outcome (C/SC/SW or in spss 1-2-3)
Further we have sexe, age and measured for example leglength and like to know if the leglength explains the differences among subjects for their circumvention strategy choice.
So, the first described varible is nominal and we believe it's non-parametric too.
The leglength is ratio variable
Hopefully this information gives a clearer view about our question