I have a stacked column chart comparing time spent on 3 activities (here illustrated as A, B and C) by novices and experts. The proportions will always add up to 1; the participants could not do anything else than activities A, B or C.
And here's the sample data:
Activity Group prop 1: A Novice 0.51158063 2: B Novice 0.17284939 3: C Novice 0.31556998 4: A Expert 0.88694859 5: B Expert 0.03311815 6: C Expert 0.05220782
Looking at the chart, it appears that experts spend more time on A and less on B and C.
Is there a test that would allow me to both check for differences at group level (e.g. "novices spent more time on C than on B") and between groups (e.g. "experts spent less time on B and on C than novices") ? The solutions that I found so far seem to apply to binary outcome (success / failure) and they use counts while I use a proportion of time spent by individuals.