dear list,
i am running a within-design ANOVA with 4 factors (4,4,2 and 2 levels each).
the last one is a time factor comprising two different treatment timepoints.
i fit a mixed-effects model using lme and apply the anova function to the
outcome. according to this analysis, there are highly significant main
effect on the first and the time factor. i then checked the boxplots for the
two 4-level factors for each timepoint separately: there is a difference or
barely 1 to 2 units; actually, the plots look pretty much alike. also, there
is no notable interaction effect. i am really wondering how this high
significance of the time factor can come up then because i can not see any
huge difference between the timepoint for all of the remaining factors. i
know this might be a very basic statistical question but assistance in every
way will be appreciated.
best
jake
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