Dear all,
can anyone please advice me which ANOVA is the most suitable: An athlete has perfromed multiple runs at constant speed with three different shoes. The kinematic data was analysed for different number of cycles per shoe condition. I want to compare mean cycle times between different shoe conditions (later also other parameters). Do I need to use repeated measures one way ANOVA? I am using Matlab for the statistic analyses but the repeated measures ANOVA does not support unbalanced designs. What should I do? Can I simply perform general one way ANOVA or is there a way to balance the model?
Additional question: The runs were measured in three days, in each day there were 3 sessions and in each session there were 3 runs. Each session was performed with one of the three different shoes. All runs were at same speed.
How can I check if the days, sessions, run order and shoe condition have affect on the mean cycle time? Do I need to use multiple way anova? There is also a similar example
for within model repeated anova (http://www.mathworks.com/help/stats/repeatedmeasuresmodel.ranova.html#bt8plsk-19), but as said before, it does not work for unbalanced data.
Is it necessary to check the normality and sphericity of the data? Or can I just assume them?
I am confused and would appreciate any help. Thank you.
Jurij H.
can anyone please advice me which ANOVA is the most suitable: An athlete has perfromed multiple runs at constant speed with three different shoes. The kinematic data was analysed for different number of cycles per shoe condition. I want to compare mean cycle times between different shoe conditions (later also other parameters). Do I need to use repeated measures one way ANOVA? I am using Matlab for the statistic analyses but the repeated measures ANOVA does not support unbalanced designs. What should I do? Can I simply perform general one way ANOVA or is there a way to balance the model?
Additional question: The runs were measured in three days, in each day there were 3 sessions and in each session there were 3 runs. Each session was performed with one of the three different shoes. All runs were at same speed.
How can I check if the days, sessions, run order and shoe condition have affect on the mean cycle time? Do I need to use multiple way anova? There is also a similar example
for within model repeated anova (http://www.mathworks.com/help/stats/repeatedmeasuresmodel.ranova.html#bt8plsk-19), but as said before, it does not work for unbalanced data.
Is it necessary to check the normality and sphericity of the data? Or can I just assume them?
I am confused and would appreciate any help. Thank you.
Jurij H.