Just following up on my original question. I'm unclear how to set up a repeated measures anova when the data is different length between participants. In brief I have data organized like this: y_i, x1_i, x2_i.

y_i is continuous and normally distributed.

x1_i is the participant label, 10 in total.

x2_i is the condition label, 3 levels.

i is trial number, ~3000 total. ~100 trials per condition-participant, although this differs.

I want to know whether mean y differs between the conditions x2. I'd usually run a 1-way independent-sample anova grouping with x2, however from what I read a repeated measures anova is more appropriate. Is this right? If so, can a repeated measures anova use data with different numbers of trials for the condition-participant combinations?

Thanks a lot. I'm just beginning, so sorry if anything unclear!