first of all the basic idea of my experiment: changes/differences of reaction time (RT) after 3 different types of sport (a: no jogging=SP1; b: 10min of jogging=SP2 and c: 30min of jogging=SP3); 36 subjects (SUB) are randomly assigned to one of the 6 possible combinations of “sport” (abc, acb, bac, bca, cab and cba, see variable FCT). So the first subject has "a" on day 1, "b" on day 2 and "c" on day 3; the second one might have "a" on day 1, "c" on day 2 and "b" on day 3 [etc...]
Therefore I have the following table containing my raw data:
SUB SP1 SP2 SP3 RT1 RT2 RT3 FCT s01 a b c 0.1 0.4 0.8 abc s02 a c b 0.6 0.3 0.8 acb s03 b a c 1.0 1.0 0.7 bac s04 b c a 0.3 0.7 0.1 bca s05 c a b 0.3 0.5 0.4 cab s06 c b a 0.0 1.0 0.3 cba [.] [.] [.] [.] [.] [.] [.] [.] s36 c b a 0.1 0.9 0.0 cba
In general I think I have to use an ANOVA based on a repeated measurement design - but I have no clue on how to deal with the factor “sport” since it also changes with the repeated measures per subject;
Is it OK to use the variable FCT defined by 6 possible combinations of “sport” as one factor with 6 categories with the repeated measurements-ANOVA?
Thank you for comments!