An experiment was run with 40 subjects. 20 subjects are in condition 1 and 20 in condition 2. Over the course of the experiment, subjects went through 60 trials. 20 trials with stimuli of type A, 20 with stimuli of type B and 20 trials with stimuli of type C. In each trial, 6 scores are measured (secondwise).
Fig. Two plots, one for condition 1 and one for condition 2. Secondwise scores are plotted collapsed over subjects (20 per condition) but split according to trial type (A/B/C). Errorbars show SEM.
Are scores statistically different between condition 1 and condition 2?
Approach so far: Collapsed scores over type of trial per subject, so that there are 3*6 measurement points per subject instead of 3*20*6. Turned data into wide format and ran repeated measures ANOVA in SPSS. Only main effect of second is significant. Looking at the graphs, however, the blue one seems very different between the two conditions.
Did I throw away information by collapsing data before running the ANOVA?